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An investigation into Plymouth University students’ brand preference
towards athletic footwear; Focusing upon the factors that influence a
Plymouth University student’s decision to purchase a specific brand of
athletic footwear
Matthew James Aylott
Janice Young
Plymouth Business School, University of Plymouth, UK.
___________________________________________________________________________
Abstract
University studentsare one of the most critical and important markets for companies, particularly athletic
footwear brands,to target due to its size and characteristics.By connecting to this specific demographic group,
there is the potential formany life-long buying patterns to be established.Despite this, there is a lack of
research that specifically investigatesthe factors that influence University students’athletic footwear
purchasing patternsin the UK. Therefore, the purpose of this research is to assess the factors that influence
Plymouth University students’ decisionsto purchase a specific brand of athletic footwear.
A quantitative positivist approach wasused for this research paper. Subsequently,the research strategy
involved the deployment of an online questionnaire which established the demographic profile of respondents,
identified Plymouth University students’ athletic footwear brand preferences, and finally, uncovered the factors
that influenced their purchasing decision the most.
The key findings of this research study found that Plymouth University students had two very strong athletic
footwear brand preferences, Nike ahead of Adidas. The most influential factors that affected Plymouth
University students’athletic footwear purchasing decisions were found to be information sources, such as their
friends, salespeople and family, product features, including comfort and fit, quality and suitability offunction.
Additionally,the study found many positive correlations between several positively related belief elements, such
as positive previousbrand experience,and brand loyalty.As a result, it was concluded that a positive brand
image, perception and association appearto positively correlate with increased brand loyalty.The value of this
research paperwill be of significant benefit to sports brand companies,marketers and educators as it will help
further the understanding ofa key market segments buying behaviour and the factors that influence their
decisionsmost.
Keywords
Athletic Footwear, Buying Behaviour, Brand Preferences, Brand Loyalty, Plymouth University Students
___________________________________________________________________________
Introduction
The athletic footwear industry is incredibly lucrative and continuously growing every year. In 2013, athletic
footwear sales reached $17.1 billion in the global market (National Sporting Goods Association,2014).
Moreover, according to Transparency Market Research (2012), in 2011 the global athletic footwear market was
valued at $74.7 billion. With a projected compound annualgrowth rate of 1.8% between 2012 and 2018, the
global athletic footwear market is estimated to be worth approximately $84.4 billion by 2018 (Transparency
Market Research, 2012).
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In terms of demand, the Asia Pacific market dominates the global athletic footwear industry and is predicted to
occupy 41.6% of it in 2018. However, the European market is expected to overtake the north American market
and become the second biggest market for athletic footwear sales by 2018 (Transparency Market Research,
2012). According to Goodman (2013), consumers in 2011 purchased over 372 million pairs of shoes in the UK.
More relevantly, 23% of the UK’s total footwear market was accounted for by athletic footwear. Therefore,
approximately 85.5 million pairs of athletic shoes were sold in the UK in 2011.
One of the major recent trends in the market is the emergence of lifestyle fashion athletic shoes.Many leading
sports brands,in light of this increasingly popular trend, have decided to start producing more fashionable
athletic footwear as well as the high-technical performance shoes they typically sell. In 2014, this trend became
increasingly more apparent. None more so than in the American athletic footwear market, where athletic
footwear sales were evenly distributed between lifestyle fashion athletic footwear and performance sport s shoes
for the first time ever.
Furthermore, in 2015 unit sales of fashion athletic footwear increased by 9.1 million to 49.8 million whilst
performance sports shoes fell 2.9 million to 38.3 million. Consequently,fashion athletic footwear claimed a
higher market share (56%) than performance sports shoes (44%) for the first time ever (Germano, 2015).
Consequently,fitness is seen to be increasingly blurring more with fashion. As a result, it has promoted the
ideology that looking like you go running or performing an athletic activity is more popular than actually going
running or doing that activity.
Wong and Smith (2002) argue that university students are one of the most critical and important markets for
companies, particularly athletic footwear brands,to target due to its size and characteristics. Additionally, White
(2001) contributes that this is a critical segment for marketers to focus on because university students are faced
with many first time life decisions on their own, in particular first time purchase decisions.Furthermore, Miller
(1998) suggeststhat connecting to this specific demographic group is critical for marketers due to the potential
brand loyalty and life-long buying patterns that could be established.Henceforth, understanding consumer
behaviour is an area of strong interest for sports brand companies. This is because there are many choices and
influences that can impact consumer behaviour (Kotler, 1994) which heavily impacts brand loyalty.
Including undergraduates and postgraduates,there were approximately 2.26 million students who attended
university in the UK during the 2014/15 academic year (Higher Education Statistics Agency,2015), which
accounts for 3.5% of the population in the UK. Meanwhile, there were approximately 12 million graduates in
the UK labour market in 2013 (18.7% of the total UK population) who held a degree. Therefore, a meaningful
representation of the UK population have attended university in which they will have made these first time
purchasing decisions and established brand loyalty.
Jenkings (2014) estimates the total UK student spending poweris approximately £19.7 billion, making them a
very lucrative and appealing target market for companies, including athletic footwear brands .With the
emergence of fashion athletic footwear and increasing participation in sport and exercise, there is reason to
believe that there will be an increase in demand for athletic footwear amongst university students.
Nike are currently the biggest athletic footwear brand in the world, dominating the sports shoes market with
33.6% of the global market share ahead of their closest rivals Adidas,who hold 19.1% (Statista, 2011). Yet,
despite Nike and Adidas owning just over half of the global market share, there are numerous othercompetitors
fiercely competing over that other half. These brands include Asics,Puma, Skechers, New Balance, Reebok, K-
Swiss, Dunlop, Jordan, Umbro and more recently, Under Armour. However, despite such fierce rivalry amongst
several major brands in the global market, Nike and Adidas both appear to be significantly much more popular
and successfulthan their competitors. Thus, there is reason to believe that they benefit much more from factors
such as increased brand awareness and brand loyalty.
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Purpose of the study
Therefore, the purpose of this study is to try and ascertain a better knowledge of Plymouth University students’
buying behaviour towards purchasing athletic footwear. In order to develop a betterunderstanding,th e aim of
the study is to determine the factors that influence Plymouth University students’athletic footwear purchasing
decisions the most. The findings of this study will be of significant benefit to sports brand companies, marketers
and educators as it will help further the understanding ofa key market segments buying behaviour and the
factors that influence their decisions most.
Literature Review
This section will provide the premise for this research project. To begin with, the literature review will highlight
some key influential factors that are believed to affect university students’athletic footwear purchasing
decisions.Moreover, as this research project is investigating buyer behaviour, it is important to considerthe
associated theoretical frameworks and models.
Information sources and socialization agents
Mangleburg et al (1997) found that when seeking information about products,consumers relied upon key
information sources.These sources mirrored consumer-related attitudes,behaviours, motivations and values
(Shim, 1996). According to the literature, socialization agents are one of the most important information sources
and factors that influence a university student’s brand preference for athletic footwear. Agents such as peers,
family, salespeople and celebrity endorsement were deemed the most influential information sources (Hsu and
Chang, 2008; Keillor et al, 1996; Yoh, 2001).
One socialization agent that appears to have the most influence on university students’brand preference, in
regards to purchasing athletic footwear, is their peers (Lachance et al, 2003; Moschis,1987; Yoh, 2001).
Solomon (2007) suggests an individual is heavily influenced by their reference group, which for many students
will be their friends. This is a theory that is supported by many studies which have found a strong correlation
between peer influence and student consumer’s purchase behaviour(Hsu and Chang, 2008; Mascarenhas and
Higby, 1993).
Yoh (2001), after conducting a survey amongst American college students,discovered that peers were the most
influential factor in the purchasing decision process for athletic footwear. However, only 418 students
responded to the survey which, considering the total American college student population may not be truly
representative.Yet, Yoh’s (2001) conclusion was reinforced by Lachance et al (2003) who, after conducting a
survey of 1034 Canadian university students,similarly found that peers were the most important influence.
Interestingly, Feltham (1998) also found there to be a positive correlation between peer influence and the time
spent at university.
According to the literature, family were a much less influential factor in comparison to peers. However, parental
influences are still considered to be an important information source for students in regards to their purchasing
behaviour (Mascarenhas and Higby, 1993; Shim and Koh, 1996). Moschis and Churchill (1987) claimed that
there was a positive correlation between students who communicated with their parents more frequently, in
regard to their consumption behaviour, and higher economically prudent purchasing decisions.
Conversely, Feltham (1998) found that 37.3% of students most frequently mentioned peers as an information
source whereas only 8.4% mentioned family. As a result, Feltham (1998) argued that students became
increasingly independent from their family when they go to university. This theory is supported by Yoh (2001)
who concluded that parental influence significantly decreases whilst peer influence significantly increases as an
information source when students attend university.
Anotherinfluential socialization agent that appears to have significant importance is that of salespeople.It is
argued that student purchasing behaviourcan be affected by salespeople as they are seen to be a reliable and
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informative source for advice (Grewal and Sharma, 1991; Oliver and Swan, 1989). This theory is supported by
Hsu and Chang (2008) who, after surveying 578 university students in Taiwan, discovered that salespeople were
the second most influential factor behind their friend’s suggestions in their athletic footwear purchasing decision
process.Similarly, Yoh (2001) identified salespeople as a primary factor in their survey of American college
students.
Interestingly, Feltham (1998) identified that survey respondents considered salespeople an important
information source, were a more reliable source than that of the mass media and thought ofas more important
than peers but less so in comparison to their parents. Therefore, there is a popular consensus amongst previous
studies that salespeople can significantly influence a student’s purchasing decision process on athletic footwear.
Yet, there seems to be some ambiguity as to in what order the influence of peers, family and salespeople appear
in, especially when comparing Feltham’s (1998) study to that of others.
One final key socialization factor that was determined amongst the literature was the influence of celebrity
endorsement. Hsu and Chang (2008) discovered from their research that sports celebrities did have an impact on
student’s behaviourand intension to purchase a particular brand.
Furthermore, Dix Phau and Pougnet (2010) conducted a survey among 207 university students in Australia
where the results were consistent with Hsu and Chang’s (2008). Additionally, the study found that there was a
positive influence between both a male and female student’s perception of celebrity endorsers and brand loyalty.
However, it must be noted that these conclusions were generalised from small population samples and may not
be completely reflective of the whole population.
Brand awareness, image and loyalty
Alongside socialization agents,a very significant factor that influences university student’s decisions to
purchase athletic footwear is the beliefs and attitudes associated with brands.Yoo, Donthu and Lee (2000)
surveyed 569 American college students,using athletic footwear as the product stimuli, in order to explore the
relationships between marketing elements and the creation of brand loyalty. Their conclusions similarly
mirrored that of Taipei and Liou (2004), with both studies finding that brand awareness and brand image both
entailed a positive correlation towards brand loyalty. This was due to several positively related belief elements,
including perceived product quality and attitudes towards branded product prices.
Similarly to both Yoo et al (2000) and Taipei and Liou (2004), Esch et al (2006) came to the conclusion that
brand image is heavily affected by brand awareness and that both determinants play a key role in the influence
of a student’s athletic footwear purchasing behaviour.Additionally, Tsiotsou (2006) put forward a very valid
argument that,after surveying 197 American college students,consumerinvolvement, overall satisfaction and
perceived product quality can be perceived as very influential purchasing predictors. Henceforth, the literature
suggests that brand image is heavily affected by brand awareness whilst a strong brand image can significantly
improve brand loyalty. Thus, enhancing these factors is critical to improving the likelihood of more students
buying a particular type and brand of athletic footwear.
Companies spend millions every year on marketing campaigns, especially towards the young adult market, in
order to increase brand awareness,enhance their brand image and ultimately to build and sustain brand loyalty
(Evans et al, 2009; Gorn, 1985; Solomon, 2010). Through extensive mass media advertising, particularly
through social media platforms and television, consumers become increasingly more familiar with major sports
brands (Davidson, 2003). Consequently,both Walgren et al (1995) and Hite and Hite (1995) argue that such
extensive exposure to advertising significantly affects student’s brand awareness and heavily influences their
brand selection. As a result, Newman (2009) claims that the two most popular brands amongst American college
students,in regards to athletic shoes,are Nike and Adidas due to their larger advertising campaigns in
comparison to their competitors.
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Furthermore, Belk (2003) put forward the idea that young adults,especially students,express a desire to create
their own unique style. By establishing an awareness of this need, Nike were the first major sports brand to
develop a successfulresponse by launching an innovative new marketing campaign (Keller, 2008). Nike
enabled consumers to become more involved with their products by introducing ‘NikeiD’, allowing consumers
to create and design their own unique pair of athletic shoes,both online through their website and via tools in
stores (Jana, 2007). Therefore, innovation in addition to extensive advertising can significantly boost brand
awareness,enhance brand image and lead to higher levels of brand loyalty which could heavily affect a
student’s purchasing behaviourtowards athletic footwear.
Product related variables
Anothersignificant factor that many previous studies have indicated influences a university student’s athletic
footwear purchasing behaviouris product-related variables. According to Solomon (2007), people’s purchasing
decisions can be influenced by different aspects of a product,such as colour, quality and appearance. This
theory is supported by Fowler (1999) who, in a study of American university students,found that when buying
athletic sports shoes,studentswere mostly influenced by quality, style, comfort and durability. Moreover, the
comfort of the shoe was ranked as a more important variable for female respondents in comparison to male
respondents.
In a survey of university students,Mintel (2008) claimed that participation in sports is a notable predictor for
purchasing behaviour. The main conclusion of the report suggested that respondents were much more likely to
buy athletic footwear for a specific sport.Additionally, Tsiotsou (2006), who conducted a survey amongst 197
university students,found that the more students participated in sports,the more important variables such as
product quality, comfort and style became. Henceforth, it is reasonable to infer that product-related variables
play a major role in the decision making process for students purchasing athletic footwear.
One of the most recent and prominent trends in the athletic footwear industry is the increasing popularity of
lifestyle fashion athletic shoes.Consumers, in particular university students,are becoming much more
influenced by variables such as style and price (Mintel, 2008). Chiu et al (2004) found supporting evidence of
this where, in a study of university students,style and price were ranked as the most influential factors in th e
decision making process when buying athletic footwear. However, the study failed to distinguish between the
affect style and price entailed on students who actively participated in sports from those who did not.Thus, to
add value to these findings, it would be beneficial to find out to what extent style and fashion has on influencing
a student’s purchasing decision process from those who participate in sports from those who do not.
Theoretical frameworks and models
Many key factors that could influence a University students’athletic footwear purchasing behaviourwere
established from the literature. Nevertheless, it is beneficial to consider the appropriate theoretical frameworks
and models alongside them to gain a deeper understanding.
Both Kotler (2004) and Peter and Olson (1993) define consumer buying behaviour as individuals purchasing
goods and/orservices for personaluse. In early studies of consumer buying behaviour, the emphasis was heavily
linked to the concept of rational choice. Irrational purchasing needs were focused upon in classical decision
theory in microeconomics whilst logical flow models of bounded rationality, such as the information processing
model, revolved around the belief that consumers use logical thinking to make rational purchasing decisions
(Bettman, 1979; Holbrook and Hirschman, 1982; Howard and Sheth, 1969).
Yet, Kotler (1994) proposes that there are four steps that contribute to influencing consumers purchasing
decision process.These steps include types of consumer purchasing decision behaviour, complex buying
behaviour, dissonance and variety. The influence of each step is dependent upon how many decisions there are
to make, how involved a consumer is and how different brands are perceived in the market. Henceforth, as
students have a relatively wide range of choice of branded athletic footwear and decisions to make on price,
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comfort and style, this framework is to some extent applicable in identifying what influences their purchasing
decisions.
Alternatively, Hawkins and Coney (1998) proposed that,during the purchasing decision process,consumers
pass through four different stages in comparison to Kotler’s (1994) framework. These stages include an
information search, evaluation of alternatives, purchase decision and post-purchase behaviour.The process
starts when a consumer recognises a need. Once need recognition is realised, consumers rely on internal and
external stimuli to reach a buying decision. This is achieved through a consumer’s information search from
various sources,such as friends, salespeople and mass media advertising (Hawkins et al, 1998). Therefore, this
first step in the process is highly reliant on a consumers information sources and is heavily affected by
socialization agents and brand association.
Evaluating alternatives is the second step,where consumers evaluate the different brand choices available to
them. According to Kotler (2004), consumers will view a product as a set of attributes which maintain different
elements that satisfy their requirements. Plus, consumers will maintain certain beliefs about different brands.
Therefore, a consumer will evaluate each brand they believe holds the best set of attributes in relation to their
requirements. The purchase decision is the third stage after having ranked all of the brands.Most commonly,
consumers will then purchase the highest ranked brand. Nonetheless,unexpected factors and attitudes of others
can still affect the final purchasing decision (Kotler, 2004). Post-purchase behaviouris the final step in the
process.Gilly and Gelb (1986) advocate that depending on whether or not a consumer is satisfied with the
product,in relation to their expectation, depends on whether or not the process has to start all over again in order
to buy a different pair of athletic shoes.
Anothertheoretical framework that can be used to help understand consumers buying behaviour is the consumer
involvement theory. Both Barry (1987) and Gill, Grossbart and Laczniak (1988) suggest that there are two
forces that affect an individual’s purchasing decision. One is the amount to which reason and emotion influence
the buying decision whilst the other is the time and energy a consumer dedicates to making that decision. Ray
(1973) argues that consumer involvement is dependent on how expensive the product is whilst Debruicker
(1979) claims the level of involvement depends on the importance of a product to a consumer. In regards to
university students buying athletic footwear, this framework is arguably highly dependent on how important
each individual feels this purchase is to them. Krugman (2007) suggests there are three levels of involvement,
habitual decisions, simple decisions and lengthy decisions. Yet, students may have varying opinions on how
important purchasing athletic shoes are to them. Therefore, depending on how important this decision is to a
student determines which decision category they fall into and whether they put minimal thought into the
purchase or spend a lot of time and effort deliberating over different brands.
Furthermore, there are three consumer behaviour models that try to explain consumer’s motivation behind their
purchasing behaviour. Firstly, Maslow’s hierarchy of needs consumer behaviour model suggests that there are
five levels of needs that consumers are influenced and motivated by (Maslow, 1943). These include
physiological needs,safety needs,social needs,esteemneeds and self-actualization needs,as shown in Figure 1
(Simons, Irwin and Drinnien, 1987). In regards to consumers purchasing athletic footwear, at least one, if not all
of these levels can be deemed to have an influence towards their purchasing motivation. Shoes can be deemed a
physiological need in general. When playing team sports they can fulfil a safety requirement. The willingness to
belong and fit in with a certain group of people can lead a consumer to purchasing athletic shoes.Most notably,
buying expensive athletic footwear can fulfil an esteem need as a consumer looks for respect and recognition
amongst others.Plus, it could lead consumers to potentially fulfilling their self-actualization by allowing them to
compete to their best of their ability in a sporting activity. However, Tay and Diener (2011) propose a valid
critique of the model by arguing that lower needs of the model do not have to be satisfied before an individual
can move up the pyramid. Thus, the model is arguably still valid in terms of each level being applied
individually, just not in levels of hierarchy.
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Figure 1: Hierarchy of needs Model (Maslow, 1943)
Secondly, the consumer behaviour model advocates that every consumer thinks differently and their motivations
for purchasing a product,such as athletic footwear, may differ which leads to people potentially buying different
branded shoes to one another(Mitchell, 1982). As there are many brands in the athletic footwear market, there is
strong competition between them to introduce more stylish,better quality and more innovative sports shoes to
attract consumers.Henceforth, Mitchell (1982) suggests that companies,when designing their products,heavily
rely on consumer feedback to improve these features.
Thirdly, the lens model, somewhat similarly to the consumer behaviour model, suggests that product features
and consumer perceptions are dependent upon one another(Brunswick, 1955). A products features,as well as
psycho-socialcues,form the basis of a consumer’s perception of that product.From this, consumers will
distinguish between brand and product perceptions and develop a preference which leads to a purchasing choice
(Urban and Hauser, 1993). However, this choice can only be implemented if the product is available to buy and
falls into a consumer’s price range, as shown in Figure 2. Henceforth, this model strongly relates to the concepts
of socialization agents,information sources,brand awareness and product features. Nevertheless, both Deane et
al (1972) and Ward (1974) argue that the model is not applicable to every consumer as some may not take into
consideration every step or skip a step when making a purchasing decision. Yet, the model does provide a good
basis for what may influence consumer’s motivation to purchase a product, and in particular athletic footwear.
Figure 2: Lens Model (Brunswick, 1956)
Similarly to the three consumer behaviourmodels, Ajzen and Fishbein’s (1980) theory of planned behaviour
model was formulated to estimate and predict the difference between consumer attitudes and their planned
behaviour. However, it is arguably the most suited theoretical model for this project, in comparison to the other
models, based on the most common predictors and influences found in the literature. The model, as shown in
Figure 3, suggeststhat there are three types of beliefs that influence consumers, behavioural beliefs, normative
beliefs and control beliefs. In turn, each belief influences whether or not a consumer has a positive or negative
attitude towards behaviour, subjective norms and the perceived behavioural control (Ajzen, 1991). When
combined, all three of these factors influence a consumer’s intention which ultimately determines their
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purchasing behaviour. Additionally, this model accepts that behaviour could be affected by external influences
(Ajzen, 1991).
However, the model is based on consumers making rational choices, yet in reality this is not always the case.
Henceforth, the most common critique of the model is that it fails to take into account other important variables,
most notably past experience (Armitage and Connor, 2001; Staats,2003; Stern, 2000). Despite this, the model is
seemingly somewhat able to predict and anticipate consumer behaviour. Therefore, providing a good theoretical
framework to adopt in when trying to ascertain what factors influence a consumer to buy a certain brand of
athletic footwear over another.
Figure 3: Theory of Planned Behaviour Model (Ajzen and Fishbein, 1980)
ResearchAims and Objectives
One noticeable gap in the literature was the lack of studies carried out in the European market, in particular the
UK. Therefore, this project will aim to fill a part of that gap and assess the factors that influence Plymouth
University students’decisions to purchase a specific brand of athletic footwear.
Henceforth, in order to fulfil this aim, the research objectives for this project are:
 To ascertain the top three most preferred athletic footwear brands amongst Plymouth University
students.
 To identify the factors that influence Plymouth University students’decisions to purchase a particular
brand of athletic footwear.
 To assess Plymouth University students’athletic footwear purchasing decision processes.
Methodology
To achieve the aim and objectives of this research paper, which were derived from the literature review, this
segment considers and justifies the most suitable research methodology to be used.Thus,this section focuses on
the methodological philosophy,the research strategy,scope and scale of the project, ethical considerations and
the limitations of the research.
Research philosophy
As the aim of this study is to explain why university students may favour certain brands and to ascertain a better
understanding ofthe factors that influence their decision to purchase a certain brand over another,this study will
adopt a positivist approach. Positivism, according to Graham and Thomas (2008) is focused on trying to explain
human behaviourwhilst Saunders et al (2009) suggest it’s the adoption of a scientific philosophical stance.Gill
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and Johnson (2010) propose that positivismrevolves around the concept of looking for causal relationships and
regularities from the collected data which can lead to generalisations being formed.
As this study required several opinions to be measured objectively, it would be easier to effectively analyse
those opinions by converting them into numerical form. For that reason, the most appropriate research approach
is that of a quantitative positivist.This is because Saunders et al (2012) proclaims that quantitative research
analyses the relationships between different variables, which are examined numerically and investigated through
a variety of statistical techniques.Therefore, making it easier to compare and contrast different variables against
each other.
Research Strategy
To effectively measure the frequency of Plymouth University student’s opinions,in relation to the aim and
objectives of the project, a large number of responses were required in order to increase the validity of the
generalisability to the results of the sample population. Additionally, as the aim and objectives sought to identify
trends which could be correlated, opinions needed to be converted into numerical form in order to be efficiently
analysed.Moreover, as a solitary researcher with restrictions on both capital and time, Nulty (2008) advocates
that focus groups and face to face interviews are impractical methods to adopt when large numbers of data are
required in a short period of time.
Furthermore, Corbetta (2003) proposes that deploying a questionnaire allows the researcher to standardize the
data, enabling easier comparison between responses.Therefore, a quantitative approach in the form of an online
questionnaire was deemed the most efficient and inexpensive way to collect primary data for this study.
Population and Sampling
In order to improve the validity of the generalisations of those opinions being made to betterrepresent the total
Plymouth University student population,which was 26,955 in the 2013/2014 academic year (Plymouth
University, 2016), Pellisier (2008) strongly advocates gathering a large amount of data that represents a
significant proportion of the total group under investigation.Hussey and Hussey (1997), advocate that this is
most achievable through a quantitative positivist approach in the form of a questionnaire.
However, Neelankavil (2008) argues that conclusions can be drawn about a large population based on a selected
sample of that population. In support of this, Gupta (2004 suggests that sampling is required due to the
impracticality and uneconomic ability to gatherresearch from the whole population in question.As the research
aim and objectives focus upon Plymouth University students,it is impractical to collect all the data as the whole
population is far too large to gather every student’s response in the required timeframe. Therefore, the sample
population will consist of students currently enrolled on an International Busines s course at Plymouth
University. These students will be used as a microcosm of the total Plymouth University student population
from which the resulting conclusions will be generalised to.
Although probability sampling is deemed more preferable for more generalizable and representative
assumptions about a population,a non-probability sampling technique was used for practicality in the form of
snowball sampling. Snowball sampling requires the researcher to initially identify a small number of relevant
members of the population in question,who then agree to distribute the survey to other relevant members of that
population in their network (Bryman, 2011).Consequently, the major advantage ofdeploying this technique is
that the researcher can gain access to and responses frommembers of the target population that they were
previously unable to (Connoway, 2010).
However, Lee (1993) points out that a major problem with this method is that it is subject to bias due to
respondents potentially identifying respondents who are similar to themselves, which could result in a
homogenous sample. Subsequently,in order to mitigate this risk, the survey was initially distributed to 10
International Business students from each academic year, with the intention that they would distribute the
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survey on to other International Business students at Plymouth University that the researcher didn’t have access
to.
Research Design
Qualtrics was the online platform used to build the questionnaire before being administered to Plymouth
University students electronically via social media platform Facebook to gatherquantitative primary data. Initial
stages ofthe survey focused upon several demographic questions to ascertain whether respondents were
representative of the required population for the study.If respondents were found not to be suitable, they were
directed to exit the questionnaire in order to maximise the validity of the results. For those who were suitable,
the subsequent questions focused upon athletic footwear brand preference, the factors that influenced their
decision to purchase a specific brand and the possible factors that affected their decision process when
purchasing athletic footwear. The designs ofthe questions were made in anticipation of the outcomes sugges ting
conclusive patterns and relationships upon which strong correlations could be perceived.
Pilot Survey
Before administering the questionnaire,Bell (2005) advises that it should be pilot tested.This is because it
enables the researcher to identify and fix any problems before it goes live. Accordingly, Gideon (2012)
highlights its importance as it enables the researcher to identify any grammatical errors, to assess the clarity of
the questions and whetherthere is a clear and logical flow throughout. Furthermore, Fink (2003) states how it
enables the researcher to test how long the survey would take to complete, which for this particular survey was
aimed at five minutes. The final questions that were used in the questionnaire can be located in Appendix A.
Data Analysis
Rank order questions and Likert scales were the two main methods used in the questionnaire to gain opinion
based variables. By using rank order questions,in which respondents were asked to rank variables in order
based on their opinion, those variables could be ranked in accordance to their average order of rank. In addition,
a 7-point Likert scale, in which the variable continuumranged from strongly agree to strongly disagree,
produced ordinal data, allowing the data to be ranked (Curwin and Slater, 2007).
As stated and justified previously, quantitative data analysis was used in the research. This enabled the evidence
to be articulated in numerical form, from which the data could be summarised. Thus,based upon the sample
population, generalised inferences could be established about the whole population. Consequently,in order to
achieve these inferred generalisations from the data,the study implemented a two stage process.
Firstly, the shape of the data will be displayed graphically. The most effective methods for exhibiting the shape
of the results for the demographic questions gathered from the survey,were bar and pie charts.Tables will then
be used to present the results of the rank order and Likert scale questions,from which the measures of locatio n
will be displayed.
The second stage of the process involved identifying the measures of location. According to Curwin and Slater
(2007), the three most used measures of location are the mean, median and the mode. Moreover, in order to
establish a more accurate representation of the averages present,Buglear (2007) suggests that all three measures
must be calculated. Although this was achievable for the rank order questions,the mean was not calculated for
the results of the Likert scale questions.This is because the Likert scales will be coded as:
Strongly Agree (1), Agree (2), Somewhat Agree (3), Neither Agree or Disagree (4), Somewhat Disagree (5),
Disagree (6), Strongly Disagree (7)
Therefore, due to the coding of the variables, the measure of location is unable to be effectively interpreted.
Thus,only the median and the mode were calculated for the results of the Likert scale questions.
11
Ethical considerations
When conducting research, it’s vitally important that the research methodology is carried out in a responsible,
ethical and moral way (Saunders et al, 2009). As questionnaires require willing participants to disclose personal
information about themselves which is not openly accessible, Babbie (2009) suggests that a consideration of
ethics is paramount so that they do not feel mistreated or misled in any way.
With this in mind, the research process was carried out in accordance to the code of ethical principles of the
Plymouth Business School as human participants were involved (UOP Research Policy Committee, 1995).
Henceforth, Plymouth university students who participated in the survey were firstly informed about the exact
purpose of the study and what the results of it would be used for. Secondly, before any participants started the
survey,they were informed that they would be able to withdraw from the study at any point. Additionally
participants were told before they started the survey that they would be protected from any harm as all recorded
data was completely anonymised, ensuring their confidentiality. Plus, if participants had any queries or
problems with this survey,they were informed of how to contact the researcher via email.
Limitations
According to Saunders et al (2012), limitations are the inadequacies or potential shortcomings of the study
which Brace (2013) suggests many research projects,if not all, are affected by. This research project was no
exception as the following methodological limitations were identified.
Firstly, Holden (2004) advocates that data is considered more beneficial to an industry if it is truly
representative of a demographic, which in this study refers to university students in the UK and the athletic
footwear industry.However, only students fromPlymouth University were targeted for the study.Moreover,
only a small sample of the target population responded to the survey which needs to be taken into account when
generalising the opinions that were expressed. Thus, it’s important to recognise that the results cannot be
assumed completely representative of Plymouth University or the entire university student population across the
UK.
Secondly, one very significant problem associated with questionnaires is that the design of the survey can
heavily impact response rates,reliability and validity (Fink, 2003). For example, long questionnaires can lead to
participant boredom which may see respondents choose randomanswers in order to complete it quickly or fail
to complete the survey at all. Consequently,this can lead to some irrelevant data being produced,reducing the
validity of the results. Therefore, the questionnaire was pilot-tested before being fully distributed in order to
ensure more reliable responses were produced.
Similarly, online questionnaires offer no control as to how truthful participants who complete the survey choose
to be. Plus, as Likert-scales were used within the survey, they are vulnerable to certain limitations. One is
central tendency bias,where participants may opt to avoid choosing extreme answers, such as strongly disagree
of strongly agree (Bertram, 2007). Anotheris social desirability bias, which refers to respondents answering in a
way that they feel is more socially favourable, rather than providing their honest opinion.Yet, an attempt to
mitigate this particular limitation was made by anonymising participants.However, Hewson et al (2003)
suggests that howrespondentsactually choose to act is invariably not in the control of the researcher.
Lastly, anothermajor limitation that is often associated with the distribution of online questionnaires is that
response rates are typically very low (Coomber, 1997). There were 26,955 students enrolled at Plymouth
University in 2014/5 (Plymouth University, 2016), yet the survey only managed to receive 110 respondents.
However, as previously pointed out, conclusions can be drawn about a large population based on a sample of
that population (Neelankavil, 2008).
12
ResearchFindings, Analysis and Discussion
This section of the report presents the research findings, analysis and discussion that derive from the data which
was collected through the online questionnaire.The research aim and objectives were the main focus for the
analysis and discussion ofthe research findings, which was split into four subsections.Firstly, the general
demographic profile of the survey respondents was established.Secondly,the top three most preferred athletic
shoe brands amongst Plymouth University students was ascertained.Thirdly, factors that influence Plymouth
University students’decisions to purchase a particular brand of athletic footwear were identified. Lastly,
Plymouth University students’athletic footwear purchasing decision processes were assessed.
Demographics
A total of 139 responses were collected through the distribution of the online survey.As highlighted in Figure 4,
54% of the respondents were male whilst 46% were female. Therefore, there was a very even representation
from both genders established from the sample population,enabling more balanced views to be expressed.
Additionally, the majority (88.5%) of respondents were aged between 18-24 years old, which was to be
expected as this survey was aimed at the University student demographic. There were no respondents (0%) from
anyone aged 17 or under whilst 11.5% were mature students aged 25 or older.
Figure 4: Gender and age profile of survey respondents
100% of the 139 survey respondents were currently studying InternationalBusiness at Plymouth University.
Plus, there was a fairly even distribution between the years in which respondents were currently studying,with a
good representation from first years (19%), second years (23%) and fourth years (23%), as shown in Figure 5.
Therefore, a wide and well represented range of opinions from each university academic year of study were
expressed through the results of the questionnaire.
54%
46%
0%
88.5%
11.5%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Male Female 17 or under 18-24 25 or older
Gender Age
13
Figure 5: Survey respondents’ current year of study at Plymouth University
Additionally, there was a wide range of sporting activities that respondents had participated in during the period
they had been studying at Plymouth University, as presented in Figure 6. Therefore, the validity of the results
from the survey was improved as many different opinions from a varied range of sporting activities were
represented,ensuring there was no bias towards one particular sporting activity. Interestingly, the top three
most popular sporting activities that respondents have participated in were going to the gym (30%), football
(13%) and going running or jogging (11%).
Figure 6: Sporting Activities students have participated in whilst at Plymouth University
19%
23%
17%
5%
23%
5% 5%
2%
0%
5%
10%
15%
20%
25%
Year of Study
30.3%
12.8%
10.8%
9.2%
5.6%
4.4%
4.4%
4%
3.6%
3.2%
2.8%
2.4%
1.6%
1.6%
1.2%
1.2%
1.2%
0% 5% 10% 15% 20% 25% 30% 35%
Gym
Football
Running/Jogging
Tennis
No participation
Rugby
Other
Netball
Squash
Rock Climbing
Athletics
Hockey
Cycling
Basketball
Rowing
Cricket
Golf
14
7.3%
21.2%
24.8%
29.2%
9.5%
8%
None
1
2
3
4
5+
Key:
(10)
(29)
(34)
(41)
(13)
(11)
Plymouth University students’ most preferred brands of athletic footwear
In order to ascertain the importance of brand preference amongst athletic footwear in the University student
market sector, it’s important to firstly consider how many pairs of sports shoes students have owned and/or
bought whilst attending Plymouth University. As shown in Figure 7, the most common amount of athletic
footwear that students have owned and/orbought since attending Plymouth University is 3 pairs (29.2%).
Moreover, the majority of students (75.2%) have owned and/orbought between 1 and 3 pairs of athletic
footwear.
Figure 7: Number of pairs of athletic footwear students have bought and/or owned
As the average Plymouth University student only owns and/orhas bought between 1-3 pairs of athletic shoes,it
signifies that such a purchase occurs very infrequently. This is validated in Figure 8, which implies that such a
purchase most commonly happens only once every year (38.7%). Therefore, due to the infrequency of such a
purchase,there is a case to arguably presume that this could positively affect the significance of having a brand
preference. Consequently,when students purchase athletic footwear, they are arguably more likely to buy a
well-known and popular brand. Moreover, if they gain positive experiences from using a particular brand of
athletic footwear, they are arguably more likely to purchase from that same brand again, developing brand
loyalty.
Figure 8: How often Plymouth University students purchase athletic footwear
This theory is supported by the results shown in Figure 9, where a very clear athletic footwear brand preference
amongst Plymouth University students can be seen. Nike is by far the most popular brand of athletic footwear,
with over half of the survey respondents (56.1%) claiming to own and/orhave bought at least one pair of their
footwear. Adidas are Nike’s closest competitor at 40.3% and have the second highest market share by some
considerable distance ahead of both Asics (19.4%) and New Balance (15.8%) in third and fourth respectively.
0%
0.7%
5.8%
19%
38.7%
14.6%
15.3%
2.9%
2.9%
0% 10% 20% 30% 40% 50%
Weekly
Monthly
Every 3 months
Every 6 months
Yearly
Every 2 years
Every 2-5 years
Every 5 years
Every 5+ years
15
Figure 9: Brands of athletic footwear owned and/or bought
Furthermore, Table 1 shows that the next pair of athletic footwear Plymouth University students would purchase
next is most likely to be Nike, with 48.1% of respondents ranking Nike in first position. More interestingly, the
resulting rank order of brands that students would buy next is highly reflective to Figure 9 and to the results of
which brands students currently own and/orhave bought.This suggests that brand preference plays a significant
factor in a university student’s athletic footwear purchasing decision. More significantly, this suggests that
university students have strong brand loyalty towards their preferred athletic footwear brand. Therefore, it
appears critically important for athletic footwear brands to connect to this demographic group as the resulting
evidence supports Miller’s (2008) theory that many life-long buying patterns are established during this stage of
their lives.
Rank
Brand of
Athletic
Footwear
Mean Median Mode Highest
Ranking
Lowest
Ranking
1 Nike 2.2 2 1 (48.1%) 1 (48.1%) 9 (0.8%)
2 Adidas 2.3 2 2 (41.9%) 1 (25.9%) 9 (0.8%)
3 Asics 5.1 4 3 (19.1%) 1 (7.6%) 12 (4.6%)
4 New Balance 6.2 6 3 (14.5%) 1 (4.6%) 13 (1.5%)
5 Puma 5.9 6 5 (17.6%) 1 (2.3%) 13 (0.8%)
6 Reebok 6.6 7 4/5/9
(14.5%)
1 (1.5%) 12 (1.5%)
7 Dunlop 7.7 8 7 (12.2%) 2 (2.3%) 13 (2.3%)
8 K-Swiss 7.8 8 8 (19.9%) 1 (2.3%) 12 (8.4%)
9 Jordan 8.2 7 7 (20.6%) 2 (1.5%) 13 (3%)
10 Skechers 9.1 10 11 (22.9%) 1 (3.8%) 13 (4.6%)
11 Under Armour 9.1 10 12 (32.8%) 3 (7.6%) 13 (6.9%)
12 Umbro 9.3 11 11 (25.2%) 2 (0.8%) 13 (3.8%)
13 Other 11.3 13 13 (77.1%) 1 (3.8%) 13 (77.1%)
Table 1: Rank order, mean, median and mode of athletic brands Plymouth Student’s would purchase next
56.1%
40.3%
19.4%
15.8%
10.1%
7.9%
4.3%
3.6%
2.9%
2.9%
1.4%
0.7%
0.7%
0.0%
0% 10% 20% 30% 40% 50% 60%
Nike
Adidas
Asics
New Balance
Puma
Reebok
Karrimor
K-Swiss
Skechers
Mizuno
Dunlop
Jordan
Umbro
Under Armour
16
It’s clear to see that both Nike and Adidas are Plymouth University students’most preferred brands of athletic
footwear. Considering that these two brands dominate the global athletic footwear market with 52.7% of the
market share between them (Statista, 2011), perhaps it comes as no surprise that the results of this study only
reflect this. More surprisingly was the lack of interest shown in Under Armour. They were tipped by many
market forecasters to be one of Nike and Adidas’ fiercest global rivals in the near future, yet not one respondent
claimed to have owned or bought a pair of their footwear. Moreover, students ranked them as one of the last
brands of athletic footwear they would buy next. Therefore, in actual fact, they are currently one of Nike an d
Adidas’ least fierce competitors in the Plymouth University market sector.
Factors that influence Plymouth University student’s athletic footwear purchasing decision
The most influential socialization agent that appears to affect Plymouth University s tudents’athletic footwear
purchasing decision was found to be their friends, based on the averages presented in Table 2. In Store
salespeople were the second most influential information source,ahead of family, mass media advertisement
and celebrity endorsement.Interestingly, despite being ranked as the least influential information source,the
most common responses that were stated under‘other’ were personal preference, reviews and brand reputation.
Perhaps if stated in the survey as variables of their own, those variables could potentially have had much more
of a significant impact to students’responses.
Rank Information
Source
Mean Median Mode Highest
Ranking
Lowest
Ranking
1 Friends 2.2 2 2 (40.8%) 1 (28%) 6 (0.8%)
2 In Store
Salesperson
3.1 3 1 (22.4%) 1 (22.4%) 6 (2.4%)
3 Family 3.1 3 4 (30.4%) 1 (18.4%) 6 (0.8%)
4 Mass Media
Advertisement
3.5 4 5 (26.4%) 1 (11.2%) 6 (4%)
5 Celebrity
Endorsement
4.2 5 5 (36%) 1 (6.4%) 6 (16.8%)
6 Other 4.9 6 6 (75.2%) 1 (18.4%) 6 (75.2%)
Table 2: Information sources - rank order, mean, median and mode
Based on the findings of Table 4, there is a justifiable case to suggest that there is a strong positive correlation
between positive brand association and brand loyalty. In particular, 91% of respondents agreed to some extent
that they associated the brand of athletic footwear that they would most likely buy with high quality, 68% were
in agreement that they believed that particular brand to be more prestigious than other rival brands whilst 58%
agreed to some extent that they rarely switched from purchasing athletic shoes from which brand they prefer
most.
17
# Statement
1 This brand’s sports shoes are expensive
2 This brand is trendy and stylish
3 I associate this brand with high quality
4 I am influenced by celebrity endorsement
5 My friends have sports shoes fromthis brand
6 My family have sports shoes fromthis brand
7 This brand is more prestigious than their rival brands
8 Wearing this brand of sports shoes helps me express my personality
9 I have had positive previous experiences with this brand
10 This brand’s sports shoes are durable, dependable and reliable
11 More stores sell this brand of sports shoe in comparison to rival brands
12 When purchasing sports shoes,Irarely switch from this brand
Table 3: Statements relating to a respondents most preferred athletic footwear brand
# SA A SWA N SWD D SD Mode Median
1 21% 39% 29% 6% 3% 2% 0% Agree Agree
2 20% 50% 21% 6% 2% 1% 0% Agree Agree
3 34% 49% 12% 4% 0% 1% 0% Agree Agree
4 8% 15% 17% 17% 6% 18% 20% Disagree Neither
5 18% 44% 14% 13% 3% 6% 2% Agree Agree
6 17% 27% 15% 14% 9% 14% 5% Agree Somewhat Agree
7 10% 43% 15% 22% 4% 6% 0% Agree Agree
8 6% 15% 12% 33% 10% 16% 9% Neither Neither
9 33% 46% 9% 12% 0% 1% 0% Agree Agree
10 35% 45% 13% 6% 1% 0% 0% Agree Agree
11 18% 36% 16% 21% 4% 4% 2% Agree Agree
12 9% 36% 13% 17% 11% 11% 4% Agree Somewhat Agree
Table 4: Results to statements from Table 3
Product features were found to be anothervery significant influencing factor in a Plymouth University students’
athletic footwear purchasing decision. The comfort and fit of the footwear was deemed the most influential
factor as 75% of respondents strongly agreed that it influences their purchasing decision, as shown in Table 5.
Furthermore, more than half of the respondents strongly agreed that both product quality (60%) and suitability
of function (52%) were very important influencing factors. However, just over half of the respondents (51%)
disagreed to some extent that the ability to customise athletic footwear influenced their purchasing decision.
Taking into consideration that on average, respondents didn’t feel that their choice of athletic footwear
expressed their personality (as presented in Table 4), it would appear that these two findings suggest that the
majority of the student population are much happier to purchase standard athletic footwear designs.Perhaps, as
95% agreed to some extent that price is an influential factor, the ability to customise athletic footwear may be
seen as a cost too far and therefore unimportant.
18
Feature SA A SWA N SWD D SD Mode Median
Brand 14% 33% 24% 10% 3% 10% 6% Agree Somewhat Agree
Comfort/Fit 75% 22% 0% 3% 0% 0% 0% Strongly Agree Strongly Agree
Customisation 4% 9% 20% 17% 15% 22% 14% Disagree
Somewhat
Disagree
Durability 47% 47% 4% 1% 0% 0% 2% Agree Agree
Price 32% 41% 22% 4% 1% 1% 0% Agree Agree
Product Quality 60% 34% 5% 1% 1% 0% 0% Strongly Agree Strongly Agree
Style 25% 37% 19% 10% 2% 4% 2% Agree Agree
Suitability of
Function 52% 40% 6% 1% 1% 0% 1% Strongly Agree Strongly Agree
Table 5: How product features influence purchasing decisions
Feltham (1998) argued that students become increasingly independent from their family when they go to
university whilst Lachance et at (2003), Moschis (1987) and Yoh (2001) all advocated from their studies that
peers became one of the most influential factors on a university students brand preference towards purchasing
athletic shoes.The results of this study have reflected both assertions as Plymouth University students’friends
were found to have the most influence on their purchasing decision. Meanwhile, family members can still be
considered an influential information source but less so than that of a salesperson.Perhaps students perceive a
salesperson to be more knowledgeable than their family members in regards to athletic footwear, especially if
none or very few of their family members actually participate in any sporting activities. Therefore, very
similarly to what was found by Yoh (2001), Hsu and Chang (2008) and Grewal and Sharma (1991), salespeople
are one the most significant factors that influence University students’athletic footwear purchasing decisions.
Additionally, mass media advertisement and celebrity endorsement were found to be much less influential
factors. Therefore, although students claim that these two factors directly have less influence on their purchasing
decision, it may indirectly have more influence than they believe it to. This is because sports brands,such as
Nike and Adidas,spend millions on advertisements and sponsorship which ultimately increases their brand
awareness and brand association.Thus, as the study found that Nike and Adidas were Plymouth University
students’two most preferred brands and that students perceived themto be more prestigious,of better quality
and more stylish than other brands,it is likely due to their increased brand awareness and positive brand
association which derives from mass media advertisements and celebrity endorsements.
In accordance with Tsiotsou (2006), Fowler (1999) and Solomon (2007), product factors were found to have a
significant influence on University students’purchasing decision.Most notably,Plymouth University students
ranked comfort and fit as the most important product feature, mirroring the findings of Fowler (1999).
Moreover, the study found many positive correlations between several positively related belief elements, such as
previous positive experience with a brand, and brand loyalty. Therefore, just as Taipei and Liou (2004)
advocated,a positive brand image and association appears to positively correlate towards increased brand
loyalty.
Assessing the purchasing decision process of Plymouth University students when buying
athletic footwear
The first step in assessing Plymouth University students’athletic footwear purchasing decision process is to
identify their primary purpose for use.Interestingly, the most common purpose,with 85% of respondents
agreeing to some extent, is for general use across severalsporting activities, as shown in Table 7. This was
closely followed by the purpose of playing a specific sport,with 78% of respondents in agreement to some
extent. Perhaps this is because certain sporting activities, such as football and rugby, require specific product
features, such as studs,to their footwear.
19
Furthermore, over half of the respondents (58%) agreed to some extent that they would wear athletic footwear
for general purposes outside of sporting activities in addition to wearing them for sporting activities. However,
55% disagreed to some extent that they would not purchase athletic footwear without the intention of wearing
them for any sporting activity. Thus, there was a mixed response as to whether University students wou ld
choose to wear athletic footwear as a lifestyle fashion choice or not. Therefore, despite an increasing trend in the
American market for lifestyle fashion athletic footwear, it appears that this trend has not yet taken off as much
in the UK, in particular Plymouth.
# Purpose
1 For playing a specific sport
2 For general use across different sporting activities
3 To go running or jogging
4 Going to the gym (Including all related fitness classes)
5 To wear for general use, in addition to wearing them for sporting activities
6 To wear them for general use and not for any sporting activity
Table 6: Athletic footwear purposes for buying athletic footwear
# SA A SWA N SWD D SD Mode Median
1 29% 32% 17% 8% 6% 5% 5% Agree Agree
2 20% 50% 15% 7% 2% 3% 3% Agree Agree
3 13% 36% 19% 9% 6% 8% 8% Agree Agree
4 22% 50% 10% 3% 3% 5% 7% Agree Agree
5 13% 28% 17% 5% 7% 19% 11% Agree Somewhat Agree
6 7% 14% 14% 14% 6% 26% 23% Disagree Somewhat Disagree
Table 7: Results to statements from Table 6
Anothervery significant factor that appears to affect a student’s purchasing decision process is how often they
participate in sporting activities. Plymouth University students most commonly appear to participate in a
sporting activity a few times a week (58.8%), as shown in Figure 10. Moreover, 82.3% claim to participate at
least once a week in a sporting activity. Therefore, as the majority of Plymouth University students frequently
participate in a sporting activity, it’s reasonable to assume that they will develop behavioural, normative and
control beliefs about athletic footwear brands. Consequently,in accordance with Azjen and Fishbein’s (1980)
theory of planned behaviour, this could affect their buying intention and buying behaviour.
Figure 10: How often Plymouth University students particiapte in a sporting
12.5%
58.8%
11.0%
3.6%
5.9%
0%
0%
8.1%
0% 10% 20% 30% 40% 50% 60% 70%
Daily
A few times a week
Once a week
Once every 2 weeks
Once a month
Once e every 6 months
Once a year
Never
20
One more very significant determinant is how much Plymouth University students are willing to spend on a pair
of athletic footwear. Figure 11 suggeststhat the most common amount students are prepared to spend on a pair
of athletic shoes is between £40-60, followed by £60-80 (17.5%) and £20-40 (16.8%). This may come as no
surpise as the average retail price for athletic footwear in the UK is £47 (Statista, 2016). Yet, as presented in
Table 4, 89% of respondents agreed to some extent that a pair of their most preferred brand of athletic footwear
was expensive. Thus,there is reason to suggest that Plymouth University students are prepared to spen d more
for premium brands. Plus, as a high degree of brand loyalty was found amongst Plymouth University students,
they are arguably much more likely to purchase either a pair of Nike or Adidas shoes between £40 and £60.
Figure 11: How much Plymouth University students are prepared to spend on athletic footwear
Participation in sports was found to be a very significant factor in a Plymouth University students purchasing
decision process for athletic footwear. Most significantly was that the majority of students purchased athletic
footwear for use across multiple sporting activities. This finding somewhat differed to the conclusion of a
Mintel report in 2008 where it was concluded that respondents were much more likely to buy athletic footwear
for a specific sport.Additionally, Plymouth University students were found to frequently participate in a
sporting activity, most commonly a few times a week. Consequently,this provides a plausible justification as to
why the comfort and fit, suitability and quality of athletic footwear were all deemed as the most important
product features in regards to purchasing athletic footwear. Thus, this conclusion mirrors that of Tsiotsou (2006)
who similarly concluded that the more students participated in sports,the more important variables such as
product quality and comfort became.
Conclusion
This final section will revisit each research objective and summarise the key findings of the study before
providing recommendations for further research.
The first research objective aimed to ascertain the top three most preferred athletic footwear brands amongst
Plymouth University students.It was found that Nike was the most preferred brand, ahead of Adidas and Asics.
Moreover, Nike and Adidas were deemed considerably more popular in comparison to every otherrival brand.
However, considering that these two brands currently dominate the global athletic footwear market, it is hardly
surprising that the results of this study only reflected this. Furthermore, as the resulting rank order of brands that
students would purchase next was highly reflective of the results to which brands students currently owned
and/orhad bought,there was a strong indication that brand preference and brand loyalty has a significant
influence on university students’athletic footwear purchasing decisions.
5.1%
16.8%
39.4%
17.5%
14.6%
6.6%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
£0-20 £20-40 £40-60 £60-80 £80-100 £100+
21
The second research objective aimed to identify the factors that influence Plymouth University students’
decisions to purchase a particular brand of athletic footwear. The most influential information source was found
to be their friends, ahead of salespeople and family. In comparison, mass media advertisement and celebrity
endorsement were found to be much less influential factors. Furthermore, many product features were found to
be highly influential factors.Most notably, students ranked comfort and fit as the most influential product
feature, ahead of product quality and suitability of function. However, the ability to customise athletic footwear
had significantly little influence, most likely due to the associated added extra cost.
The third research objective aimed to assess Plymouth University students’athletic footwear purchasing
process.One very significant factor was the frequency of which students participated in sporting activities. As
students were found to most commonly participate in a sporting activity twice a week, there is reason to believe
that they develop behavioural, normative and control beliefs about athletic footwear brands,affecting their
purchasing decision process.Additionally, the study found many positive correlations between several
positively related belief elements, such as positive previous brand experience, and brand loyalty. As a result, a
positive brand image, perception and association appearto positively correlate with increased brand loyalty.
Recommendations for further research
This study used a quantitative positivist approach,assessing the factors that influence Plymouth University
students’decisions to purchase a specific brand of athletic footwear. One point for further research would be to
explore university students’athletic footwear purchasing decision processes following a qualitative approach,
using in-depth interviews to gain a deeper understanding ofthe subject. Anotherpoint for further research would
be to investigate this subject with more students from otheruniversities in the United Kingdom. Thus, by
considering a wider sample range of the total student population,it would greatly improve the validity and
reliability of any generalisations being made and add further value to this subject matter.
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Appendix A: Questions used in online questionnaire
Thank you for choosing to participate in this survey, it should take approximately 5 minutes to complete.
The purpose of this survey is to investigate University students brand preference towards athletic
footwear and to find out what factors influence their purchasing decision behaviour.
Survey results will be used to support my final year project with Plymouth University.
Please note, all responses will be recorded anonymously and you have the right to withdraw from the
survey at any stage by closing the browser window.
If you have any queries, please email me at: matthew.aylott@students.plymouth.ac.uk
25
Part 1 – Demographics
26
27
Part 2 – Brand Preference
28
Adidas
ASICS
Dunlop
Jordan
K-Swiss
New Balance
Nike
Puma
Reebok
Skechers
Umbro
Under Armour
Other
29
Part 3 – Factors that influence the buying decision process
Celebrity Endorsement
Family
Friends
In Store Salesperson
Mass Media Advertisement
Other (Please Specify)
30

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Final Year Dissertation

  • 1. 1 An investigation into Plymouth University students’ brand preference towards athletic footwear; Focusing upon the factors that influence a Plymouth University student’s decision to purchase a specific brand of athletic footwear Matthew James Aylott Janice Young Plymouth Business School, University of Plymouth, UK. ___________________________________________________________________________ Abstract University studentsare one of the most critical and important markets for companies, particularly athletic footwear brands,to target due to its size and characteristics.By connecting to this specific demographic group, there is the potential formany life-long buying patterns to be established.Despite this, there is a lack of research that specifically investigatesthe factors that influence University students’athletic footwear purchasing patternsin the UK. Therefore, the purpose of this research is to assess the factors that influence Plymouth University students’ decisionsto purchase a specific brand of athletic footwear. A quantitative positivist approach wasused for this research paper. Subsequently,the research strategy involved the deployment of an online questionnaire which established the demographic profile of respondents, identified Plymouth University students’ athletic footwear brand preferences, and finally, uncovered the factors that influenced their purchasing decision the most. The key findings of this research study found that Plymouth University students had two very strong athletic footwear brand preferences, Nike ahead of Adidas. The most influential factors that affected Plymouth University students’athletic footwear purchasing decisions were found to be information sources, such as their friends, salespeople and family, product features, including comfort and fit, quality and suitability offunction. Additionally,the study found many positive correlations between several positively related belief elements, such as positive previousbrand experience,and brand loyalty.As a result, it was concluded that a positive brand image, perception and association appearto positively correlate with increased brand loyalty.The value of this research paperwill be of significant benefit to sports brand companies,marketers and educators as it will help further the understanding ofa key market segments buying behaviour and the factors that influence their decisionsmost. Keywords Athletic Footwear, Buying Behaviour, Brand Preferences, Brand Loyalty, Plymouth University Students ___________________________________________________________________________ Introduction The athletic footwear industry is incredibly lucrative and continuously growing every year. In 2013, athletic footwear sales reached $17.1 billion in the global market (National Sporting Goods Association,2014). Moreover, according to Transparency Market Research (2012), in 2011 the global athletic footwear market was valued at $74.7 billion. With a projected compound annualgrowth rate of 1.8% between 2012 and 2018, the global athletic footwear market is estimated to be worth approximately $84.4 billion by 2018 (Transparency Market Research, 2012).
  • 2. 2 In terms of demand, the Asia Pacific market dominates the global athletic footwear industry and is predicted to occupy 41.6% of it in 2018. However, the European market is expected to overtake the north American market and become the second biggest market for athletic footwear sales by 2018 (Transparency Market Research, 2012). According to Goodman (2013), consumers in 2011 purchased over 372 million pairs of shoes in the UK. More relevantly, 23% of the UK’s total footwear market was accounted for by athletic footwear. Therefore, approximately 85.5 million pairs of athletic shoes were sold in the UK in 2011. One of the major recent trends in the market is the emergence of lifestyle fashion athletic shoes.Many leading sports brands,in light of this increasingly popular trend, have decided to start producing more fashionable athletic footwear as well as the high-technical performance shoes they typically sell. In 2014, this trend became increasingly more apparent. None more so than in the American athletic footwear market, where athletic footwear sales were evenly distributed between lifestyle fashion athletic footwear and performance sport s shoes for the first time ever. Furthermore, in 2015 unit sales of fashion athletic footwear increased by 9.1 million to 49.8 million whilst performance sports shoes fell 2.9 million to 38.3 million. Consequently,fashion athletic footwear claimed a higher market share (56%) than performance sports shoes (44%) for the first time ever (Germano, 2015). Consequently,fitness is seen to be increasingly blurring more with fashion. As a result, it has promoted the ideology that looking like you go running or performing an athletic activity is more popular than actually going running or doing that activity. Wong and Smith (2002) argue that university students are one of the most critical and important markets for companies, particularly athletic footwear brands,to target due to its size and characteristics. Additionally, White (2001) contributes that this is a critical segment for marketers to focus on because university students are faced with many first time life decisions on their own, in particular first time purchase decisions.Furthermore, Miller (1998) suggeststhat connecting to this specific demographic group is critical for marketers due to the potential brand loyalty and life-long buying patterns that could be established.Henceforth, understanding consumer behaviour is an area of strong interest for sports brand companies. This is because there are many choices and influences that can impact consumer behaviour (Kotler, 1994) which heavily impacts brand loyalty. Including undergraduates and postgraduates,there were approximately 2.26 million students who attended university in the UK during the 2014/15 academic year (Higher Education Statistics Agency,2015), which accounts for 3.5% of the population in the UK. Meanwhile, there were approximately 12 million graduates in the UK labour market in 2013 (18.7% of the total UK population) who held a degree. Therefore, a meaningful representation of the UK population have attended university in which they will have made these first time purchasing decisions and established brand loyalty. Jenkings (2014) estimates the total UK student spending poweris approximately £19.7 billion, making them a very lucrative and appealing target market for companies, including athletic footwear brands .With the emergence of fashion athletic footwear and increasing participation in sport and exercise, there is reason to believe that there will be an increase in demand for athletic footwear amongst university students. Nike are currently the biggest athletic footwear brand in the world, dominating the sports shoes market with 33.6% of the global market share ahead of their closest rivals Adidas,who hold 19.1% (Statista, 2011). Yet, despite Nike and Adidas owning just over half of the global market share, there are numerous othercompetitors fiercely competing over that other half. These brands include Asics,Puma, Skechers, New Balance, Reebok, K- Swiss, Dunlop, Jordan, Umbro and more recently, Under Armour. However, despite such fierce rivalry amongst several major brands in the global market, Nike and Adidas both appear to be significantly much more popular and successfulthan their competitors. Thus, there is reason to believe that they benefit much more from factors such as increased brand awareness and brand loyalty.
  • 3. 3 Purpose of the study Therefore, the purpose of this study is to try and ascertain a better knowledge of Plymouth University students’ buying behaviour towards purchasing athletic footwear. In order to develop a betterunderstanding,th e aim of the study is to determine the factors that influence Plymouth University students’athletic footwear purchasing decisions the most. The findings of this study will be of significant benefit to sports brand companies, marketers and educators as it will help further the understanding ofa key market segments buying behaviour and the factors that influence their decisions most. Literature Review This section will provide the premise for this research project. To begin with, the literature review will highlight some key influential factors that are believed to affect university students’athletic footwear purchasing decisions.Moreover, as this research project is investigating buyer behaviour, it is important to considerthe associated theoretical frameworks and models. Information sources and socialization agents Mangleburg et al (1997) found that when seeking information about products,consumers relied upon key information sources.These sources mirrored consumer-related attitudes,behaviours, motivations and values (Shim, 1996). According to the literature, socialization agents are one of the most important information sources and factors that influence a university student’s brand preference for athletic footwear. Agents such as peers, family, salespeople and celebrity endorsement were deemed the most influential information sources (Hsu and Chang, 2008; Keillor et al, 1996; Yoh, 2001). One socialization agent that appears to have the most influence on university students’brand preference, in regards to purchasing athletic footwear, is their peers (Lachance et al, 2003; Moschis,1987; Yoh, 2001). Solomon (2007) suggests an individual is heavily influenced by their reference group, which for many students will be their friends. This is a theory that is supported by many studies which have found a strong correlation between peer influence and student consumer’s purchase behaviour(Hsu and Chang, 2008; Mascarenhas and Higby, 1993). Yoh (2001), after conducting a survey amongst American college students,discovered that peers were the most influential factor in the purchasing decision process for athletic footwear. However, only 418 students responded to the survey which, considering the total American college student population may not be truly representative.Yet, Yoh’s (2001) conclusion was reinforced by Lachance et al (2003) who, after conducting a survey of 1034 Canadian university students,similarly found that peers were the most important influence. Interestingly, Feltham (1998) also found there to be a positive correlation between peer influence and the time spent at university. According to the literature, family were a much less influential factor in comparison to peers. However, parental influences are still considered to be an important information source for students in regards to their purchasing behaviour (Mascarenhas and Higby, 1993; Shim and Koh, 1996). Moschis and Churchill (1987) claimed that there was a positive correlation between students who communicated with their parents more frequently, in regard to their consumption behaviour, and higher economically prudent purchasing decisions. Conversely, Feltham (1998) found that 37.3% of students most frequently mentioned peers as an information source whereas only 8.4% mentioned family. As a result, Feltham (1998) argued that students became increasingly independent from their family when they go to university. This theory is supported by Yoh (2001) who concluded that parental influence significantly decreases whilst peer influence significantly increases as an information source when students attend university. Anotherinfluential socialization agent that appears to have significant importance is that of salespeople.It is argued that student purchasing behaviourcan be affected by salespeople as they are seen to be a reliable and
  • 4. 4 informative source for advice (Grewal and Sharma, 1991; Oliver and Swan, 1989). This theory is supported by Hsu and Chang (2008) who, after surveying 578 university students in Taiwan, discovered that salespeople were the second most influential factor behind their friend’s suggestions in their athletic footwear purchasing decision process.Similarly, Yoh (2001) identified salespeople as a primary factor in their survey of American college students. Interestingly, Feltham (1998) identified that survey respondents considered salespeople an important information source, were a more reliable source than that of the mass media and thought ofas more important than peers but less so in comparison to their parents. Therefore, there is a popular consensus amongst previous studies that salespeople can significantly influence a student’s purchasing decision process on athletic footwear. Yet, there seems to be some ambiguity as to in what order the influence of peers, family and salespeople appear in, especially when comparing Feltham’s (1998) study to that of others. One final key socialization factor that was determined amongst the literature was the influence of celebrity endorsement. Hsu and Chang (2008) discovered from their research that sports celebrities did have an impact on student’s behaviourand intension to purchase a particular brand. Furthermore, Dix Phau and Pougnet (2010) conducted a survey among 207 university students in Australia where the results were consistent with Hsu and Chang’s (2008). Additionally, the study found that there was a positive influence between both a male and female student’s perception of celebrity endorsers and brand loyalty. However, it must be noted that these conclusions were generalised from small population samples and may not be completely reflective of the whole population. Brand awareness, image and loyalty Alongside socialization agents,a very significant factor that influences university student’s decisions to purchase athletic footwear is the beliefs and attitudes associated with brands.Yoo, Donthu and Lee (2000) surveyed 569 American college students,using athletic footwear as the product stimuli, in order to explore the relationships between marketing elements and the creation of brand loyalty. Their conclusions similarly mirrored that of Taipei and Liou (2004), with both studies finding that brand awareness and brand image both entailed a positive correlation towards brand loyalty. This was due to several positively related belief elements, including perceived product quality and attitudes towards branded product prices. Similarly to both Yoo et al (2000) and Taipei and Liou (2004), Esch et al (2006) came to the conclusion that brand image is heavily affected by brand awareness and that both determinants play a key role in the influence of a student’s athletic footwear purchasing behaviour.Additionally, Tsiotsou (2006) put forward a very valid argument that,after surveying 197 American college students,consumerinvolvement, overall satisfaction and perceived product quality can be perceived as very influential purchasing predictors. Henceforth, the literature suggests that brand image is heavily affected by brand awareness whilst a strong brand image can significantly improve brand loyalty. Thus, enhancing these factors is critical to improving the likelihood of more students buying a particular type and brand of athletic footwear. Companies spend millions every year on marketing campaigns, especially towards the young adult market, in order to increase brand awareness,enhance their brand image and ultimately to build and sustain brand loyalty (Evans et al, 2009; Gorn, 1985; Solomon, 2010). Through extensive mass media advertising, particularly through social media platforms and television, consumers become increasingly more familiar with major sports brands (Davidson, 2003). Consequently,both Walgren et al (1995) and Hite and Hite (1995) argue that such extensive exposure to advertising significantly affects student’s brand awareness and heavily influences their brand selection. As a result, Newman (2009) claims that the two most popular brands amongst American college students,in regards to athletic shoes,are Nike and Adidas due to their larger advertising campaigns in comparison to their competitors.
  • 5. 5 Furthermore, Belk (2003) put forward the idea that young adults,especially students,express a desire to create their own unique style. By establishing an awareness of this need, Nike were the first major sports brand to develop a successfulresponse by launching an innovative new marketing campaign (Keller, 2008). Nike enabled consumers to become more involved with their products by introducing ‘NikeiD’, allowing consumers to create and design their own unique pair of athletic shoes,both online through their website and via tools in stores (Jana, 2007). Therefore, innovation in addition to extensive advertising can significantly boost brand awareness,enhance brand image and lead to higher levels of brand loyalty which could heavily affect a student’s purchasing behaviourtowards athletic footwear. Product related variables Anothersignificant factor that many previous studies have indicated influences a university student’s athletic footwear purchasing behaviouris product-related variables. According to Solomon (2007), people’s purchasing decisions can be influenced by different aspects of a product,such as colour, quality and appearance. This theory is supported by Fowler (1999) who, in a study of American university students,found that when buying athletic sports shoes,studentswere mostly influenced by quality, style, comfort and durability. Moreover, the comfort of the shoe was ranked as a more important variable for female respondents in comparison to male respondents. In a survey of university students,Mintel (2008) claimed that participation in sports is a notable predictor for purchasing behaviour. The main conclusion of the report suggested that respondents were much more likely to buy athletic footwear for a specific sport.Additionally, Tsiotsou (2006), who conducted a survey amongst 197 university students,found that the more students participated in sports,the more important variables such as product quality, comfort and style became. Henceforth, it is reasonable to infer that product-related variables play a major role in the decision making process for students purchasing athletic footwear. One of the most recent and prominent trends in the athletic footwear industry is the increasing popularity of lifestyle fashion athletic shoes.Consumers, in particular university students,are becoming much more influenced by variables such as style and price (Mintel, 2008). Chiu et al (2004) found supporting evidence of this where, in a study of university students,style and price were ranked as the most influential factors in th e decision making process when buying athletic footwear. However, the study failed to distinguish between the affect style and price entailed on students who actively participated in sports from those who did not.Thus, to add value to these findings, it would be beneficial to find out to what extent style and fashion has on influencing a student’s purchasing decision process from those who participate in sports from those who do not. Theoretical frameworks and models Many key factors that could influence a University students’athletic footwear purchasing behaviourwere established from the literature. Nevertheless, it is beneficial to consider the appropriate theoretical frameworks and models alongside them to gain a deeper understanding. Both Kotler (2004) and Peter and Olson (1993) define consumer buying behaviour as individuals purchasing goods and/orservices for personaluse. In early studies of consumer buying behaviour, the emphasis was heavily linked to the concept of rational choice. Irrational purchasing needs were focused upon in classical decision theory in microeconomics whilst logical flow models of bounded rationality, such as the information processing model, revolved around the belief that consumers use logical thinking to make rational purchasing decisions (Bettman, 1979; Holbrook and Hirschman, 1982; Howard and Sheth, 1969). Yet, Kotler (1994) proposes that there are four steps that contribute to influencing consumers purchasing decision process.These steps include types of consumer purchasing decision behaviour, complex buying behaviour, dissonance and variety. The influence of each step is dependent upon how many decisions there are to make, how involved a consumer is and how different brands are perceived in the market. Henceforth, as students have a relatively wide range of choice of branded athletic footwear and decisions to make on price,
  • 6. 6 comfort and style, this framework is to some extent applicable in identifying what influences their purchasing decisions. Alternatively, Hawkins and Coney (1998) proposed that,during the purchasing decision process,consumers pass through four different stages in comparison to Kotler’s (1994) framework. These stages include an information search, evaluation of alternatives, purchase decision and post-purchase behaviour.The process starts when a consumer recognises a need. Once need recognition is realised, consumers rely on internal and external stimuli to reach a buying decision. This is achieved through a consumer’s information search from various sources,such as friends, salespeople and mass media advertising (Hawkins et al, 1998). Therefore, this first step in the process is highly reliant on a consumers information sources and is heavily affected by socialization agents and brand association. Evaluating alternatives is the second step,where consumers evaluate the different brand choices available to them. According to Kotler (2004), consumers will view a product as a set of attributes which maintain different elements that satisfy their requirements. Plus, consumers will maintain certain beliefs about different brands. Therefore, a consumer will evaluate each brand they believe holds the best set of attributes in relation to their requirements. The purchase decision is the third stage after having ranked all of the brands.Most commonly, consumers will then purchase the highest ranked brand. Nonetheless,unexpected factors and attitudes of others can still affect the final purchasing decision (Kotler, 2004). Post-purchase behaviouris the final step in the process.Gilly and Gelb (1986) advocate that depending on whether or not a consumer is satisfied with the product,in relation to their expectation, depends on whether or not the process has to start all over again in order to buy a different pair of athletic shoes. Anothertheoretical framework that can be used to help understand consumers buying behaviour is the consumer involvement theory. Both Barry (1987) and Gill, Grossbart and Laczniak (1988) suggest that there are two forces that affect an individual’s purchasing decision. One is the amount to which reason and emotion influence the buying decision whilst the other is the time and energy a consumer dedicates to making that decision. Ray (1973) argues that consumer involvement is dependent on how expensive the product is whilst Debruicker (1979) claims the level of involvement depends on the importance of a product to a consumer. In regards to university students buying athletic footwear, this framework is arguably highly dependent on how important each individual feels this purchase is to them. Krugman (2007) suggests there are three levels of involvement, habitual decisions, simple decisions and lengthy decisions. Yet, students may have varying opinions on how important purchasing athletic shoes are to them. Therefore, depending on how important this decision is to a student determines which decision category they fall into and whether they put minimal thought into the purchase or spend a lot of time and effort deliberating over different brands. Furthermore, there are three consumer behaviour models that try to explain consumer’s motivation behind their purchasing behaviour. Firstly, Maslow’s hierarchy of needs consumer behaviour model suggests that there are five levels of needs that consumers are influenced and motivated by (Maslow, 1943). These include physiological needs,safety needs,social needs,esteemneeds and self-actualization needs,as shown in Figure 1 (Simons, Irwin and Drinnien, 1987). In regards to consumers purchasing athletic footwear, at least one, if not all of these levels can be deemed to have an influence towards their purchasing motivation. Shoes can be deemed a physiological need in general. When playing team sports they can fulfil a safety requirement. The willingness to belong and fit in with a certain group of people can lead a consumer to purchasing athletic shoes.Most notably, buying expensive athletic footwear can fulfil an esteem need as a consumer looks for respect and recognition amongst others.Plus, it could lead consumers to potentially fulfilling their self-actualization by allowing them to compete to their best of their ability in a sporting activity. However, Tay and Diener (2011) propose a valid critique of the model by arguing that lower needs of the model do not have to be satisfied before an individual can move up the pyramid. Thus, the model is arguably still valid in terms of each level being applied individually, just not in levels of hierarchy.
  • 7. 7 Figure 1: Hierarchy of needs Model (Maslow, 1943) Secondly, the consumer behaviour model advocates that every consumer thinks differently and their motivations for purchasing a product,such as athletic footwear, may differ which leads to people potentially buying different branded shoes to one another(Mitchell, 1982). As there are many brands in the athletic footwear market, there is strong competition between them to introduce more stylish,better quality and more innovative sports shoes to attract consumers.Henceforth, Mitchell (1982) suggests that companies,when designing their products,heavily rely on consumer feedback to improve these features. Thirdly, the lens model, somewhat similarly to the consumer behaviour model, suggests that product features and consumer perceptions are dependent upon one another(Brunswick, 1955). A products features,as well as psycho-socialcues,form the basis of a consumer’s perception of that product.From this, consumers will distinguish between brand and product perceptions and develop a preference which leads to a purchasing choice (Urban and Hauser, 1993). However, this choice can only be implemented if the product is available to buy and falls into a consumer’s price range, as shown in Figure 2. Henceforth, this model strongly relates to the concepts of socialization agents,information sources,brand awareness and product features. Nevertheless, both Deane et al (1972) and Ward (1974) argue that the model is not applicable to every consumer as some may not take into consideration every step or skip a step when making a purchasing decision. Yet, the model does provide a good basis for what may influence consumer’s motivation to purchase a product, and in particular athletic footwear. Figure 2: Lens Model (Brunswick, 1956) Similarly to the three consumer behaviourmodels, Ajzen and Fishbein’s (1980) theory of planned behaviour model was formulated to estimate and predict the difference between consumer attitudes and their planned behaviour. However, it is arguably the most suited theoretical model for this project, in comparison to the other models, based on the most common predictors and influences found in the literature. The model, as shown in Figure 3, suggeststhat there are three types of beliefs that influence consumers, behavioural beliefs, normative beliefs and control beliefs. In turn, each belief influences whether or not a consumer has a positive or negative attitude towards behaviour, subjective norms and the perceived behavioural control (Ajzen, 1991). When combined, all three of these factors influence a consumer’s intention which ultimately determines their
  • 8. 8 purchasing behaviour. Additionally, this model accepts that behaviour could be affected by external influences (Ajzen, 1991). However, the model is based on consumers making rational choices, yet in reality this is not always the case. Henceforth, the most common critique of the model is that it fails to take into account other important variables, most notably past experience (Armitage and Connor, 2001; Staats,2003; Stern, 2000). Despite this, the model is seemingly somewhat able to predict and anticipate consumer behaviour. Therefore, providing a good theoretical framework to adopt in when trying to ascertain what factors influence a consumer to buy a certain brand of athletic footwear over another. Figure 3: Theory of Planned Behaviour Model (Ajzen and Fishbein, 1980) ResearchAims and Objectives One noticeable gap in the literature was the lack of studies carried out in the European market, in particular the UK. Therefore, this project will aim to fill a part of that gap and assess the factors that influence Plymouth University students’decisions to purchase a specific brand of athletic footwear. Henceforth, in order to fulfil this aim, the research objectives for this project are:  To ascertain the top three most preferred athletic footwear brands amongst Plymouth University students.  To identify the factors that influence Plymouth University students’decisions to purchase a particular brand of athletic footwear.  To assess Plymouth University students’athletic footwear purchasing decision processes. Methodology To achieve the aim and objectives of this research paper, which were derived from the literature review, this segment considers and justifies the most suitable research methodology to be used.Thus,this section focuses on the methodological philosophy,the research strategy,scope and scale of the project, ethical considerations and the limitations of the research. Research philosophy As the aim of this study is to explain why university students may favour certain brands and to ascertain a better understanding ofthe factors that influence their decision to purchase a certain brand over another,this study will adopt a positivist approach. Positivism, according to Graham and Thomas (2008) is focused on trying to explain human behaviourwhilst Saunders et al (2009) suggest it’s the adoption of a scientific philosophical stance.Gill
  • 9. 9 and Johnson (2010) propose that positivismrevolves around the concept of looking for causal relationships and regularities from the collected data which can lead to generalisations being formed. As this study required several opinions to be measured objectively, it would be easier to effectively analyse those opinions by converting them into numerical form. For that reason, the most appropriate research approach is that of a quantitative positivist.This is because Saunders et al (2012) proclaims that quantitative research analyses the relationships between different variables, which are examined numerically and investigated through a variety of statistical techniques.Therefore, making it easier to compare and contrast different variables against each other. Research Strategy To effectively measure the frequency of Plymouth University student’s opinions,in relation to the aim and objectives of the project, a large number of responses were required in order to increase the validity of the generalisability to the results of the sample population. Additionally, as the aim and objectives sought to identify trends which could be correlated, opinions needed to be converted into numerical form in order to be efficiently analysed.Moreover, as a solitary researcher with restrictions on both capital and time, Nulty (2008) advocates that focus groups and face to face interviews are impractical methods to adopt when large numbers of data are required in a short period of time. Furthermore, Corbetta (2003) proposes that deploying a questionnaire allows the researcher to standardize the data, enabling easier comparison between responses.Therefore, a quantitative approach in the form of an online questionnaire was deemed the most efficient and inexpensive way to collect primary data for this study. Population and Sampling In order to improve the validity of the generalisations of those opinions being made to betterrepresent the total Plymouth University student population,which was 26,955 in the 2013/2014 academic year (Plymouth University, 2016), Pellisier (2008) strongly advocates gathering a large amount of data that represents a significant proportion of the total group under investigation.Hussey and Hussey (1997), advocate that this is most achievable through a quantitative positivist approach in the form of a questionnaire. However, Neelankavil (2008) argues that conclusions can be drawn about a large population based on a selected sample of that population. In support of this, Gupta (2004 suggests that sampling is required due to the impracticality and uneconomic ability to gatherresearch from the whole population in question.As the research aim and objectives focus upon Plymouth University students,it is impractical to collect all the data as the whole population is far too large to gather every student’s response in the required timeframe. Therefore, the sample population will consist of students currently enrolled on an International Busines s course at Plymouth University. These students will be used as a microcosm of the total Plymouth University student population from which the resulting conclusions will be generalised to. Although probability sampling is deemed more preferable for more generalizable and representative assumptions about a population,a non-probability sampling technique was used for practicality in the form of snowball sampling. Snowball sampling requires the researcher to initially identify a small number of relevant members of the population in question,who then agree to distribute the survey to other relevant members of that population in their network (Bryman, 2011).Consequently, the major advantage ofdeploying this technique is that the researcher can gain access to and responses frommembers of the target population that they were previously unable to (Connoway, 2010). However, Lee (1993) points out that a major problem with this method is that it is subject to bias due to respondents potentially identifying respondents who are similar to themselves, which could result in a homogenous sample. Subsequently,in order to mitigate this risk, the survey was initially distributed to 10 International Business students from each academic year, with the intention that they would distribute the
  • 10. 10 survey on to other International Business students at Plymouth University that the researcher didn’t have access to. Research Design Qualtrics was the online platform used to build the questionnaire before being administered to Plymouth University students electronically via social media platform Facebook to gatherquantitative primary data. Initial stages ofthe survey focused upon several demographic questions to ascertain whether respondents were representative of the required population for the study.If respondents were found not to be suitable, they were directed to exit the questionnaire in order to maximise the validity of the results. For those who were suitable, the subsequent questions focused upon athletic footwear brand preference, the factors that influenced their decision to purchase a specific brand and the possible factors that affected their decision process when purchasing athletic footwear. The designs ofthe questions were made in anticipation of the outcomes sugges ting conclusive patterns and relationships upon which strong correlations could be perceived. Pilot Survey Before administering the questionnaire,Bell (2005) advises that it should be pilot tested.This is because it enables the researcher to identify and fix any problems before it goes live. Accordingly, Gideon (2012) highlights its importance as it enables the researcher to identify any grammatical errors, to assess the clarity of the questions and whetherthere is a clear and logical flow throughout. Furthermore, Fink (2003) states how it enables the researcher to test how long the survey would take to complete, which for this particular survey was aimed at five minutes. The final questions that were used in the questionnaire can be located in Appendix A. Data Analysis Rank order questions and Likert scales were the two main methods used in the questionnaire to gain opinion based variables. By using rank order questions,in which respondents were asked to rank variables in order based on their opinion, those variables could be ranked in accordance to their average order of rank. In addition, a 7-point Likert scale, in which the variable continuumranged from strongly agree to strongly disagree, produced ordinal data, allowing the data to be ranked (Curwin and Slater, 2007). As stated and justified previously, quantitative data analysis was used in the research. This enabled the evidence to be articulated in numerical form, from which the data could be summarised. Thus,based upon the sample population, generalised inferences could be established about the whole population. Consequently,in order to achieve these inferred generalisations from the data,the study implemented a two stage process. Firstly, the shape of the data will be displayed graphically. The most effective methods for exhibiting the shape of the results for the demographic questions gathered from the survey,were bar and pie charts.Tables will then be used to present the results of the rank order and Likert scale questions,from which the measures of locatio n will be displayed. The second stage of the process involved identifying the measures of location. According to Curwin and Slater (2007), the three most used measures of location are the mean, median and the mode. Moreover, in order to establish a more accurate representation of the averages present,Buglear (2007) suggests that all three measures must be calculated. Although this was achievable for the rank order questions,the mean was not calculated for the results of the Likert scale questions.This is because the Likert scales will be coded as: Strongly Agree (1), Agree (2), Somewhat Agree (3), Neither Agree or Disagree (4), Somewhat Disagree (5), Disagree (6), Strongly Disagree (7) Therefore, due to the coding of the variables, the measure of location is unable to be effectively interpreted. Thus,only the median and the mode were calculated for the results of the Likert scale questions.
  • 11. 11 Ethical considerations When conducting research, it’s vitally important that the research methodology is carried out in a responsible, ethical and moral way (Saunders et al, 2009). As questionnaires require willing participants to disclose personal information about themselves which is not openly accessible, Babbie (2009) suggests that a consideration of ethics is paramount so that they do not feel mistreated or misled in any way. With this in mind, the research process was carried out in accordance to the code of ethical principles of the Plymouth Business School as human participants were involved (UOP Research Policy Committee, 1995). Henceforth, Plymouth university students who participated in the survey were firstly informed about the exact purpose of the study and what the results of it would be used for. Secondly, before any participants started the survey,they were informed that they would be able to withdraw from the study at any point. Additionally participants were told before they started the survey that they would be protected from any harm as all recorded data was completely anonymised, ensuring their confidentiality. Plus, if participants had any queries or problems with this survey,they were informed of how to contact the researcher via email. Limitations According to Saunders et al (2012), limitations are the inadequacies or potential shortcomings of the study which Brace (2013) suggests many research projects,if not all, are affected by. This research project was no exception as the following methodological limitations were identified. Firstly, Holden (2004) advocates that data is considered more beneficial to an industry if it is truly representative of a demographic, which in this study refers to university students in the UK and the athletic footwear industry.However, only students fromPlymouth University were targeted for the study.Moreover, only a small sample of the target population responded to the survey which needs to be taken into account when generalising the opinions that were expressed. Thus, it’s important to recognise that the results cannot be assumed completely representative of Plymouth University or the entire university student population across the UK. Secondly, one very significant problem associated with questionnaires is that the design of the survey can heavily impact response rates,reliability and validity (Fink, 2003). For example, long questionnaires can lead to participant boredom which may see respondents choose randomanswers in order to complete it quickly or fail to complete the survey at all. Consequently,this can lead to some irrelevant data being produced,reducing the validity of the results. Therefore, the questionnaire was pilot-tested before being fully distributed in order to ensure more reliable responses were produced. Similarly, online questionnaires offer no control as to how truthful participants who complete the survey choose to be. Plus, as Likert-scales were used within the survey, they are vulnerable to certain limitations. One is central tendency bias,where participants may opt to avoid choosing extreme answers, such as strongly disagree of strongly agree (Bertram, 2007). Anotheris social desirability bias, which refers to respondents answering in a way that they feel is more socially favourable, rather than providing their honest opinion.Yet, an attempt to mitigate this particular limitation was made by anonymising participants.However, Hewson et al (2003) suggests that howrespondentsactually choose to act is invariably not in the control of the researcher. Lastly, anothermajor limitation that is often associated with the distribution of online questionnaires is that response rates are typically very low (Coomber, 1997). There were 26,955 students enrolled at Plymouth University in 2014/5 (Plymouth University, 2016), yet the survey only managed to receive 110 respondents. However, as previously pointed out, conclusions can be drawn about a large population based on a sample of that population (Neelankavil, 2008).
  • 12. 12 ResearchFindings, Analysis and Discussion This section of the report presents the research findings, analysis and discussion that derive from the data which was collected through the online questionnaire.The research aim and objectives were the main focus for the analysis and discussion ofthe research findings, which was split into four subsections.Firstly, the general demographic profile of the survey respondents was established.Secondly,the top three most preferred athletic shoe brands amongst Plymouth University students was ascertained.Thirdly, factors that influence Plymouth University students’decisions to purchase a particular brand of athletic footwear were identified. Lastly, Plymouth University students’athletic footwear purchasing decision processes were assessed. Demographics A total of 139 responses were collected through the distribution of the online survey.As highlighted in Figure 4, 54% of the respondents were male whilst 46% were female. Therefore, there was a very even representation from both genders established from the sample population,enabling more balanced views to be expressed. Additionally, the majority (88.5%) of respondents were aged between 18-24 years old, which was to be expected as this survey was aimed at the University student demographic. There were no respondents (0%) from anyone aged 17 or under whilst 11.5% were mature students aged 25 or older. Figure 4: Gender and age profile of survey respondents 100% of the 139 survey respondents were currently studying InternationalBusiness at Plymouth University. Plus, there was a fairly even distribution between the years in which respondents were currently studying,with a good representation from first years (19%), second years (23%) and fourth years (23%), as shown in Figure 5. Therefore, a wide and well represented range of opinions from each university academic year of study were expressed through the results of the questionnaire. 54% 46% 0% 88.5% 11.5% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Male Female 17 or under 18-24 25 or older Gender Age
  • 13. 13 Figure 5: Survey respondents’ current year of study at Plymouth University Additionally, there was a wide range of sporting activities that respondents had participated in during the period they had been studying at Plymouth University, as presented in Figure 6. Therefore, the validity of the results from the survey was improved as many different opinions from a varied range of sporting activities were represented,ensuring there was no bias towards one particular sporting activity. Interestingly, the top three most popular sporting activities that respondents have participated in were going to the gym (30%), football (13%) and going running or jogging (11%). Figure 6: Sporting Activities students have participated in whilst at Plymouth University 19% 23% 17% 5% 23% 5% 5% 2% 0% 5% 10% 15% 20% 25% Year of Study 30.3% 12.8% 10.8% 9.2% 5.6% 4.4% 4.4% 4% 3.6% 3.2% 2.8% 2.4% 1.6% 1.6% 1.2% 1.2% 1.2% 0% 5% 10% 15% 20% 25% 30% 35% Gym Football Running/Jogging Tennis No participation Rugby Other Netball Squash Rock Climbing Athletics Hockey Cycling Basketball Rowing Cricket Golf
  • 14. 14 7.3% 21.2% 24.8% 29.2% 9.5% 8% None 1 2 3 4 5+ Key: (10) (29) (34) (41) (13) (11) Plymouth University students’ most preferred brands of athletic footwear In order to ascertain the importance of brand preference amongst athletic footwear in the University student market sector, it’s important to firstly consider how many pairs of sports shoes students have owned and/or bought whilst attending Plymouth University. As shown in Figure 7, the most common amount of athletic footwear that students have owned and/orbought since attending Plymouth University is 3 pairs (29.2%). Moreover, the majority of students (75.2%) have owned and/orbought between 1 and 3 pairs of athletic footwear. Figure 7: Number of pairs of athletic footwear students have bought and/or owned As the average Plymouth University student only owns and/orhas bought between 1-3 pairs of athletic shoes,it signifies that such a purchase occurs very infrequently. This is validated in Figure 8, which implies that such a purchase most commonly happens only once every year (38.7%). Therefore, due to the infrequency of such a purchase,there is a case to arguably presume that this could positively affect the significance of having a brand preference. Consequently,when students purchase athletic footwear, they are arguably more likely to buy a well-known and popular brand. Moreover, if they gain positive experiences from using a particular brand of athletic footwear, they are arguably more likely to purchase from that same brand again, developing brand loyalty. Figure 8: How often Plymouth University students purchase athletic footwear This theory is supported by the results shown in Figure 9, where a very clear athletic footwear brand preference amongst Plymouth University students can be seen. Nike is by far the most popular brand of athletic footwear, with over half of the survey respondents (56.1%) claiming to own and/orhave bought at least one pair of their footwear. Adidas are Nike’s closest competitor at 40.3% and have the second highest market share by some considerable distance ahead of both Asics (19.4%) and New Balance (15.8%) in third and fourth respectively. 0% 0.7% 5.8% 19% 38.7% 14.6% 15.3% 2.9% 2.9% 0% 10% 20% 30% 40% 50% Weekly Monthly Every 3 months Every 6 months Yearly Every 2 years Every 2-5 years Every 5 years Every 5+ years
  • 15. 15 Figure 9: Brands of athletic footwear owned and/or bought Furthermore, Table 1 shows that the next pair of athletic footwear Plymouth University students would purchase next is most likely to be Nike, with 48.1% of respondents ranking Nike in first position. More interestingly, the resulting rank order of brands that students would buy next is highly reflective to Figure 9 and to the results of which brands students currently own and/orhave bought.This suggests that brand preference plays a significant factor in a university student’s athletic footwear purchasing decision. More significantly, this suggests that university students have strong brand loyalty towards their preferred athletic footwear brand. Therefore, it appears critically important for athletic footwear brands to connect to this demographic group as the resulting evidence supports Miller’s (2008) theory that many life-long buying patterns are established during this stage of their lives. Rank Brand of Athletic Footwear Mean Median Mode Highest Ranking Lowest Ranking 1 Nike 2.2 2 1 (48.1%) 1 (48.1%) 9 (0.8%) 2 Adidas 2.3 2 2 (41.9%) 1 (25.9%) 9 (0.8%) 3 Asics 5.1 4 3 (19.1%) 1 (7.6%) 12 (4.6%) 4 New Balance 6.2 6 3 (14.5%) 1 (4.6%) 13 (1.5%) 5 Puma 5.9 6 5 (17.6%) 1 (2.3%) 13 (0.8%) 6 Reebok 6.6 7 4/5/9 (14.5%) 1 (1.5%) 12 (1.5%) 7 Dunlop 7.7 8 7 (12.2%) 2 (2.3%) 13 (2.3%) 8 K-Swiss 7.8 8 8 (19.9%) 1 (2.3%) 12 (8.4%) 9 Jordan 8.2 7 7 (20.6%) 2 (1.5%) 13 (3%) 10 Skechers 9.1 10 11 (22.9%) 1 (3.8%) 13 (4.6%) 11 Under Armour 9.1 10 12 (32.8%) 3 (7.6%) 13 (6.9%) 12 Umbro 9.3 11 11 (25.2%) 2 (0.8%) 13 (3.8%) 13 Other 11.3 13 13 (77.1%) 1 (3.8%) 13 (77.1%) Table 1: Rank order, mean, median and mode of athletic brands Plymouth Student’s would purchase next 56.1% 40.3% 19.4% 15.8% 10.1% 7.9% 4.3% 3.6% 2.9% 2.9% 1.4% 0.7% 0.7% 0.0% 0% 10% 20% 30% 40% 50% 60% Nike Adidas Asics New Balance Puma Reebok Karrimor K-Swiss Skechers Mizuno Dunlop Jordan Umbro Under Armour
  • 16. 16 It’s clear to see that both Nike and Adidas are Plymouth University students’most preferred brands of athletic footwear. Considering that these two brands dominate the global athletic footwear market with 52.7% of the market share between them (Statista, 2011), perhaps it comes as no surprise that the results of this study only reflect this. More surprisingly was the lack of interest shown in Under Armour. They were tipped by many market forecasters to be one of Nike and Adidas’ fiercest global rivals in the near future, yet not one respondent claimed to have owned or bought a pair of their footwear. Moreover, students ranked them as one of the last brands of athletic footwear they would buy next. Therefore, in actual fact, they are currently one of Nike an d Adidas’ least fierce competitors in the Plymouth University market sector. Factors that influence Plymouth University student’s athletic footwear purchasing decision The most influential socialization agent that appears to affect Plymouth University s tudents’athletic footwear purchasing decision was found to be their friends, based on the averages presented in Table 2. In Store salespeople were the second most influential information source,ahead of family, mass media advertisement and celebrity endorsement.Interestingly, despite being ranked as the least influential information source,the most common responses that were stated under‘other’ were personal preference, reviews and brand reputation. Perhaps if stated in the survey as variables of their own, those variables could potentially have had much more of a significant impact to students’responses. Rank Information Source Mean Median Mode Highest Ranking Lowest Ranking 1 Friends 2.2 2 2 (40.8%) 1 (28%) 6 (0.8%) 2 In Store Salesperson 3.1 3 1 (22.4%) 1 (22.4%) 6 (2.4%) 3 Family 3.1 3 4 (30.4%) 1 (18.4%) 6 (0.8%) 4 Mass Media Advertisement 3.5 4 5 (26.4%) 1 (11.2%) 6 (4%) 5 Celebrity Endorsement 4.2 5 5 (36%) 1 (6.4%) 6 (16.8%) 6 Other 4.9 6 6 (75.2%) 1 (18.4%) 6 (75.2%) Table 2: Information sources - rank order, mean, median and mode Based on the findings of Table 4, there is a justifiable case to suggest that there is a strong positive correlation between positive brand association and brand loyalty. In particular, 91% of respondents agreed to some extent that they associated the brand of athletic footwear that they would most likely buy with high quality, 68% were in agreement that they believed that particular brand to be more prestigious than other rival brands whilst 58% agreed to some extent that they rarely switched from purchasing athletic shoes from which brand they prefer most.
  • 17. 17 # Statement 1 This brand’s sports shoes are expensive 2 This brand is trendy and stylish 3 I associate this brand with high quality 4 I am influenced by celebrity endorsement 5 My friends have sports shoes fromthis brand 6 My family have sports shoes fromthis brand 7 This brand is more prestigious than their rival brands 8 Wearing this brand of sports shoes helps me express my personality 9 I have had positive previous experiences with this brand 10 This brand’s sports shoes are durable, dependable and reliable 11 More stores sell this brand of sports shoe in comparison to rival brands 12 When purchasing sports shoes,Irarely switch from this brand Table 3: Statements relating to a respondents most preferred athletic footwear brand # SA A SWA N SWD D SD Mode Median 1 21% 39% 29% 6% 3% 2% 0% Agree Agree 2 20% 50% 21% 6% 2% 1% 0% Agree Agree 3 34% 49% 12% 4% 0% 1% 0% Agree Agree 4 8% 15% 17% 17% 6% 18% 20% Disagree Neither 5 18% 44% 14% 13% 3% 6% 2% Agree Agree 6 17% 27% 15% 14% 9% 14% 5% Agree Somewhat Agree 7 10% 43% 15% 22% 4% 6% 0% Agree Agree 8 6% 15% 12% 33% 10% 16% 9% Neither Neither 9 33% 46% 9% 12% 0% 1% 0% Agree Agree 10 35% 45% 13% 6% 1% 0% 0% Agree Agree 11 18% 36% 16% 21% 4% 4% 2% Agree Agree 12 9% 36% 13% 17% 11% 11% 4% Agree Somewhat Agree Table 4: Results to statements from Table 3 Product features were found to be anothervery significant influencing factor in a Plymouth University students’ athletic footwear purchasing decision. The comfort and fit of the footwear was deemed the most influential factor as 75% of respondents strongly agreed that it influences their purchasing decision, as shown in Table 5. Furthermore, more than half of the respondents strongly agreed that both product quality (60%) and suitability of function (52%) were very important influencing factors. However, just over half of the respondents (51%) disagreed to some extent that the ability to customise athletic footwear influenced their purchasing decision. Taking into consideration that on average, respondents didn’t feel that their choice of athletic footwear expressed their personality (as presented in Table 4), it would appear that these two findings suggest that the majority of the student population are much happier to purchase standard athletic footwear designs.Perhaps, as 95% agreed to some extent that price is an influential factor, the ability to customise athletic footwear may be seen as a cost too far and therefore unimportant.
  • 18. 18 Feature SA A SWA N SWD D SD Mode Median Brand 14% 33% 24% 10% 3% 10% 6% Agree Somewhat Agree Comfort/Fit 75% 22% 0% 3% 0% 0% 0% Strongly Agree Strongly Agree Customisation 4% 9% 20% 17% 15% 22% 14% Disagree Somewhat Disagree Durability 47% 47% 4% 1% 0% 0% 2% Agree Agree Price 32% 41% 22% 4% 1% 1% 0% Agree Agree Product Quality 60% 34% 5% 1% 1% 0% 0% Strongly Agree Strongly Agree Style 25% 37% 19% 10% 2% 4% 2% Agree Agree Suitability of Function 52% 40% 6% 1% 1% 0% 1% Strongly Agree Strongly Agree Table 5: How product features influence purchasing decisions Feltham (1998) argued that students become increasingly independent from their family when they go to university whilst Lachance et at (2003), Moschis (1987) and Yoh (2001) all advocated from their studies that peers became one of the most influential factors on a university students brand preference towards purchasing athletic shoes.The results of this study have reflected both assertions as Plymouth University students’friends were found to have the most influence on their purchasing decision. Meanwhile, family members can still be considered an influential information source but less so than that of a salesperson.Perhaps students perceive a salesperson to be more knowledgeable than their family members in regards to athletic footwear, especially if none or very few of their family members actually participate in any sporting activities. Therefore, very similarly to what was found by Yoh (2001), Hsu and Chang (2008) and Grewal and Sharma (1991), salespeople are one the most significant factors that influence University students’athletic footwear purchasing decisions. Additionally, mass media advertisement and celebrity endorsement were found to be much less influential factors. Therefore, although students claim that these two factors directly have less influence on their purchasing decision, it may indirectly have more influence than they believe it to. This is because sports brands,such as Nike and Adidas,spend millions on advertisements and sponsorship which ultimately increases their brand awareness and brand association.Thus, as the study found that Nike and Adidas were Plymouth University students’two most preferred brands and that students perceived themto be more prestigious,of better quality and more stylish than other brands,it is likely due to their increased brand awareness and positive brand association which derives from mass media advertisements and celebrity endorsements. In accordance with Tsiotsou (2006), Fowler (1999) and Solomon (2007), product factors were found to have a significant influence on University students’purchasing decision.Most notably,Plymouth University students ranked comfort and fit as the most important product feature, mirroring the findings of Fowler (1999). Moreover, the study found many positive correlations between several positively related belief elements, such as previous positive experience with a brand, and brand loyalty. Therefore, just as Taipei and Liou (2004) advocated,a positive brand image and association appears to positively correlate towards increased brand loyalty. Assessing the purchasing decision process of Plymouth University students when buying athletic footwear The first step in assessing Plymouth University students’athletic footwear purchasing decision process is to identify their primary purpose for use.Interestingly, the most common purpose,with 85% of respondents agreeing to some extent, is for general use across severalsporting activities, as shown in Table 7. This was closely followed by the purpose of playing a specific sport,with 78% of respondents in agreement to some extent. Perhaps this is because certain sporting activities, such as football and rugby, require specific product features, such as studs,to their footwear.
  • 19. 19 Furthermore, over half of the respondents (58%) agreed to some extent that they would wear athletic footwear for general purposes outside of sporting activities in addition to wearing them for sporting activities. However, 55% disagreed to some extent that they would not purchase athletic footwear without the intention of wearing them for any sporting activity. Thus, there was a mixed response as to whether University students wou ld choose to wear athletic footwear as a lifestyle fashion choice or not. Therefore, despite an increasing trend in the American market for lifestyle fashion athletic footwear, it appears that this trend has not yet taken off as much in the UK, in particular Plymouth. # Purpose 1 For playing a specific sport 2 For general use across different sporting activities 3 To go running or jogging 4 Going to the gym (Including all related fitness classes) 5 To wear for general use, in addition to wearing them for sporting activities 6 To wear them for general use and not for any sporting activity Table 6: Athletic footwear purposes for buying athletic footwear # SA A SWA N SWD D SD Mode Median 1 29% 32% 17% 8% 6% 5% 5% Agree Agree 2 20% 50% 15% 7% 2% 3% 3% Agree Agree 3 13% 36% 19% 9% 6% 8% 8% Agree Agree 4 22% 50% 10% 3% 3% 5% 7% Agree Agree 5 13% 28% 17% 5% 7% 19% 11% Agree Somewhat Agree 6 7% 14% 14% 14% 6% 26% 23% Disagree Somewhat Disagree Table 7: Results to statements from Table 6 Anothervery significant factor that appears to affect a student’s purchasing decision process is how often they participate in sporting activities. Plymouth University students most commonly appear to participate in a sporting activity a few times a week (58.8%), as shown in Figure 10. Moreover, 82.3% claim to participate at least once a week in a sporting activity. Therefore, as the majority of Plymouth University students frequently participate in a sporting activity, it’s reasonable to assume that they will develop behavioural, normative and control beliefs about athletic footwear brands. Consequently,in accordance with Azjen and Fishbein’s (1980) theory of planned behaviour, this could affect their buying intention and buying behaviour. Figure 10: How often Plymouth University students particiapte in a sporting 12.5% 58.8% 11.0% 3.6% 5.9% 0% 0% 8.1% 0% 10% 20% 30% 40% 50% 60% 70% Daily A few times a week Once a week Once every 2 weeks Once a month Once e every 6 months Once a year Never
  • 20. 20 One more very significant determinant is how much Plymouth University students are willing to spend on a pair of athletic footwear. Figure 11 suggeststhat the most common amount students are prepared to spend on a pair of athletic shoes is between £40-60, followed by £60-80 (17.5%) and £20-40 (16.8%). This may come as no surpise as the average retail price for athletic footwear in the UK is £47 (Statista, 2016). Yet, as presented in Table 4, 89% of respondents agreed to some extent that a pair of their most preferred brand of athletic footwear was expensive. Thus,there is reason to suggest that Plymouth University students are prepared to spen d more for premium brands. Plus, as a high degree of brand loyalty was found amongst Plymouth University students, they are arguably much more likely to purchase either a pair of Nike or Adidas shoes between £40 and £60. Figure 11: How much Plymouth University students are prepared to spend on athletic footwear Participation in sports was found to be a very significant factor in a Plymouth University students purchasing decision process for athletic footwear. Most significantly was that the majority of students purchased athletic footwear for use across multiple sporting activities. This finding somewhat differed to the conclusion of a Mintel report in 2008 where it was concluded that respondents were much more likely to buy athletic footwear for a specific sport.Additionally, Plymouth University students were found to frequently participate in a sporting activity, most commonly a few times a week. Consequently,this provides a plausible justification as to why the comfort and fit, suitability and quality of athletic footwear were all deemed as the most important product features in regards to purchasing athletic footwear. Thus, this conclusion mirrors that of Tsiotsou (2006) who similarly concluded that the more students participated in sports,the more important variables such as product quality and comfort became. Conclusion This final section will revisit each research objective and summarise the key findings of the study before providing recommendations for further research. The first research objective aimed to ascertain the top three most preferred athletic footwear brands amongst Plymouth University students.It was found that Nike was the most preferred brand, ahead of Adidas and Asics. Moreover, Nike and Adidas were deemed considerably more popular in comparison to every otherrival brand. However, considering that these two brands currently dominate the global athletic footwear market, it is hardly surprising that the results of this study only reflected this. Furthermore, as the resulting rank order of brands that students would purchase next was highly reflective of the results to which brands students currently owned and/orhad bought,there was a strong indication that brand preference and brand loyalty has a significant influence on university students’athletic footwear purchasing decisions. 5.1% 16.8% 39.4% 17.5% 14.6% 6.6% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% £0-20 £20-40 £40-60 £60-80 £80-100 £100+
  • 21. 21 The second research objective aimed to identify the factors that influence Plymouth University students’ decisions to purchase a particular brand of athletic footwear. The most influential information source was found to be their friends, ahead of salespeople and family. In comparison, mass media advertisement and celebrity endorsement were found to be much less influential factors. Furthermore, many product features were found to be highly influential factors.Most notably, students ranked comfort and fit as the most influential product feature, ahead of product quality and suitability of function. However, the ability to customise athletic footwear had significantly little influence, most likely due to the associated added extra cost. The third research objective aimed to assess Plymouth University students’athletic footwear purchasing process.One very significant factor was the frequency of which students participated in sporting activities. As students were found to most commonly participate in a sporting activity twice a week, there is reason to believe that they develop behavioural, normative and control beliefs about athletic footwear brands,affecting their purchasing decision process.Additionally, the study found many positive correlations between several positively related belief elements, such as positive previous brand experience, and brand loyalty. As a result, a positive brand image, perception and association appearto positively correlate with increased brand loyalty. Recommendations for further research This study used a quantitative positivist approach,assessing the factors that influence Plymouth University students’decisions to purchase a specific brand of athletic footwear. One point for further research would be to explore university students’athletic footwear purchasing decision processes following a qualitative approach, using in-depth interviews to gain a deeper understanding ofthe subject. Anotherpoint for further research would be to investigate this subject with more students from otheruniversities in the United Kingdom. Thus, by considering a wider sample range of the total student population,it would greatly improve the validity and reliability of any generalisations being made and add further value to this subject matter. References Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: A meta-analytic review. British Journal of Social Psychology. 40(4), p471-499. Azjen, I. (1991). Thetheory of planned behaviour. Organizational Behaviour and Human Decision Processes. 50(2), p179-211. Azjen, I., & Fishbein, M (1980). Understanding attitudes and predicting social behaviour. New Jersey:Prentice-Hall Babbie, E. (2009). Essential Research Methods for Social Work. Belmont: Cengage Learning Barry, T. E. (1987). The Development of the Hierarchy of Effects: An Historical Perspective. Current Issues and research in Advertising. 10(2), p251-295. Belk, R. W. (2003). Shoes and Self. Available at: http://www.acrwebsite.org/search/view-conference- proceedings.aspx?Id=8730. (Accessed: 10th February 2016). Bell, J. (2005). Doing Your Research Project (4th Edn). Buckingham: Open University Press Bertram, D. (2007). Likert Scales. Available at: http://poincare.matf.bg.ac.rs/~kristina/topic-dane-likert.pdf (Accessed: 9th February 2016). Bettman, J. R. (1979). An Information Processing Theory of Consumer Choice. Journal of Marketing. 43(3), p124-126. Brace, I. (2013). Questionnaire Design: How to Plan, Structure and Write SurveyMaterial for Effective Market Research. London: Kogan Page Publishers Brunswick, E. (1955). Representative design and probabilistic theory in a functional psychology. Psychological Review. 62(3), p193-217. Buglear, J. (2007). Quantitative methods for business. Oxford: Elsevier Bryman, A. (2011). Business Research Methods. Oxford: Oxford University Press Chiu, K. K., Chiu, K. P., Lee, P., Chang, T. Y., & Shan, J. P. . (2004).The role of psychographic approach in segmenting young adults’ buying behaviour for athletic footwear. Available at: http://tbi2006.atisr.org/CD/Papers/2006tbi2009.doc. (Accessed: 15th February 2016). Connaway, L. S. (2010). Basic research methods for librarians. Santa Barbara, California: Libraries Unlimited. Coomber, R. (1997). Using the Internet for Survey Research. Sociological Research Online. 2(2), p1-7. Corbetta, P. (2003). Social Research: Theory, Methods and Techniques. London: Sage Curwin, J. & Slater, R. (2007). Quantitative Methods for Business Decisions. 6th edn. London: South-Western Cengage Learning
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  • 24. 24 http://www.statista.com/statistics/246501/athletic-apparel-companies-ranked-by-global-market-share-in-footwear- sales/. (Accessed: 11th February 2016). Statista. (2016). Average retail price of jogging/running shoes in the U.S. from 2007 to 2014. Available at: http://www.statista.com/statistics/244506/average-retail-price-of-jogging-running-shoes-in-the-us/. (Accessed: 11th February 2016). Stern, P. C. (2000). Psychology, Sustainability and the science of human-environment interactions. American Psychologist . 55(1), p523-530. Taipei, W. & Liou, Y. (2004). Thestudy on the relationship among brand associations, brand loyalty and consumer response:With sports shoes as an example. (Master Thesis). Retrieved from http://ethesys.library.ttu.edu.tw/ETD- db/ETD-search/view_etd?URN=etd-08111 04-115426. Tay, L., & Diener, E. (2011). Needs and subjective well-being around the world. Journal of Personality and Social Psychology. 101(2), p354. Transparency Market Research. (2012). Athletic Footwear Market - Global Industry Size, Market Share, Trends, Analysis And Forecast 2012 - 2018. Available at: http://www.transparencymarketresearch.com/athletic-footwear-market.html. (Accessed: 8th February 2016). Tsiotsou, R. (2006). The role of perceived product quality and overall satisfaction on purchaseintentions. International Journal of Consumer Studies. 30(2), p207-217. UOP (University of Plymouth) (1995). The Research Process: Ethics, University of Plymouth. Available at: http://www.pbs.plymouth.ac.uk/buseres/RPEintro.html(Accessed: 20th February 2016). Urban, G. L., & Hauser, J. R (1993). Design and Marketing of New Products. 2nd ed. New Jersey:Prentice-Hall Walgren, C. J., Ruble, C. A., & Donthu, N. (1995). Brand Equity, brand preference, and purchase intent. Journal of Advertising. 14(3), p25-40. Ward, S. (1974). Consumer Socialization. Journal of Consumer Research . 1(2), p1-14. White, D. (2001). US College Students Spend $50 Billion Annually .Available at: http://www.prnewswire.com/news- releases/us-college-students-spend-50-billion-annually-according-to-latest-nationwide-online-study-72127042.html. (Accessed: 10th February 2016). Wong, N. & Smith, J. (2002). College students spend $200 billion per year. Available at: http://www.harrisinteractive.com/news/ allnewsbydate.asp?NewsID=480. (Accessed:8th February 2016). Yoh, T. (2001). Influences on college students' brand preferences for athletic shoes: A consumer socialization perspective (Doctoral Dissertation). Retrieved from ProQuest Dissertations and Theses database. Yoo, W., Donthu, L., & Lee. Y. (2000). Consumer perceptions about price, quality and value: A means-end model and synthesis of evidence. Journal of Marketing. 52(6), p2-22. Appendix A: Questions used in online questionnaire Thank you for choosing to participate in this survey, it should take approximately 5 minutes to complete. The purpose of this survey is to investigate University students brand preference towards athletic footwear and to find out what factors influence their purchasing decision behaviour. Survey results will be used to support my final year project with Plymouth University. Please note, all responses will be recorded anonymously and you have the right to withdraw from the survey at any stage by closing the browser window. If you have any queries, please email me at: matthew.aylott@students.plymouth.ac.uk
  • 25. 25 Part 1 – Demographics
  • 26. 26
  • 27. 27 Part 2 – Brand Preference
  • 29. 29 Part 3 – Factors that influence the buying decision process Celebrity Endorsement Family Friends In Store Salesperson Mass Media Advertisement Other (Please Specify)
  • 30. 30