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Journal of Business & Policy Research
                                        Volume 5. Number 1. July 2010 Pp. 123 - 157

     Consumers’ Shopping Behaviour Pattern on Selected
     Consumer Goods: Empirical Evidence on Malaysian
                       Consumers

                        Oriah Akir* and Md. Nor Othman**

      In the consumer behaviour literature, several perspectives on consumer decision
      making have been considered, including consumer degree of involvement, degree
      of information search, the number of alternatives available/attributes importance,
      demographic variables and interpersonal influence that affect consumer buying
      decision and shopping pattern on certain consumer goods, both high and low
      involvement products. A cross-sectional survey was conducted and 1000
      consumers were interviewed through mall intercept of which only 500 were useable
      for the analysis of the findings. In this paper, a framework which integrates several
      dimensions affecting consumer decision making (demographic variables, attributes
      importance, interpersonal influence) and repurchase intention as well as the
      possible relationship among variables is developed. The framework is tested by the
      use of standardized multiple regression analysis to determine the linear
      relationship among all these variables. The results of this research support the
      complexity of consumer buying behaviour. Consumers’ preference differs on which
      attributes they emphasize more as compared to the others, and the issue of how
      significantly others influence their buying decisions. The findings revealed that
      purchasing high involvement products was regarded as a very important decision
      in comparison to purchasing low involvement products. Second, quality, brand
      name, informational influence and product information had significant direct
      relationship on repurchase intention for high involvement products. While for low
      involvement products, price and brand name significantly predict consumers’
      repurchase intention. Finally, the influence of significant others/interpersonal
      influence (spouses, siblings, family members, friends, and the like) did not
      significantly affect repurchase intention regardless of whether the products are low
      involvement products or high involvement products. In conclusion, the implications
      of this research: 1) contributes to the body of knowledge and exploratory model
      building on consumer purchase behaviour; and 2) the research model will provide
      an important input to the marketing decision-making process and management
      decision, such as marketers, product managers and/or brand managers to
      streamline their marketing plan and strategies.

Field of Research: consumer behaviour and marketing

1.     Introduction
Consumer behaviour theorists generally believe that consumer behaviour
theories can be applied globally but consumer preferences and tastes are
influenced by their cultural background (Schutte and Ciarlante, 1998). Therefore,
marketers and business practitioners have to recognize that consumers‟ attitudes
and beliefs, preferences, needs and tastes towards certain products or services
are greatly influenced by their culture and the society they belong to. For
instance, consumers in other parts of the globe may consider price as the most
important determinant in their decision to buy food items, whereas, in others, they
may consider quality as the most important factor that may affect their choices.
Other factors that may surface could also be the influence of significant others,
____________________________________
* Lecturer of University Technology MARA, Malaysia, oriah@sarawak.uitm.edu.my
** Professor of University Malaya, Malaysia, mohdnor@um.edu.my
Akir & Othman

such as spouse, siblings, family members, friends, salespersons, relatives or
neighbours (on consumers‟ purchase decisions and/or repurchase intentions),
and even the marketing stimuli triggered by the marketers. Despite all these
uncertainties, marketers or businesses still invest a lot of money in their
marketing plans to indulge consumers to buy their products or services. This is
an on-going process that they have to deal with in order to meet consumers‟
specific needs and preferences. It is not enough to offer a variety of products, but
the true gain in business platform is how to sustain profit and survive in the
marketplace by satisfying consumers‟ needs and wants relative to the value of
the offerings. Hence, this paper empirically investigate the consumers‟ shopping
behaviour pattern on selected consumer goods and address the issues on what
they buy, why they buy, when they buy, where they buy, how much and how
often do they buy, the factors that influence their buying decisions, and the
determinants that influence consumers‟ purchase/repurchase intention. For
example, in the case of Malaysia, it was reported that, around 70 percent of
Malaysian consumers across all segments plan what they buy. Nevertheless the
majority will still buy additional items (AC Nielsen, 2006).

Specific research questions addressed by the research:

a)    What are the general shopping behaviour patterns of consumers when
      they decide to buy selected consumer goods (high and low involvement
      products)?
b)    Is there any relationship between products‟ attributes importance, selected
      consumers‟ demographic variables, interpersonal influence and
      consumers‟ repurchase intention?

Specific objectives of the research:

a)    To determine consumers‟ general shopping behaviour patterns when they
      decide to buy selected consumer goods (high and low involvement
      products).
b)    To examine the relationship between product attributes‟ importance,
      selected consumers‟ demographic variables, interpersonal influence and
      repurchase intention.

2.    Literature Review
This section reviews past studies on various factors, such as price, quality, brand,
product information, demographic variables and interpersonal influence that
might influence consumers‟ purchase decision and how these factors in turn
affect their repurchase intention.

2.1   Introduction
Understanding consumer behaviour is paramount for both marketers and
business alike. Two factors critical to understanding consumer behaviour are:
firstly, the degree of differentiation that a consumer perceives in the product or
service; and secondly, the fundamental determinant of consumer behaviour is
their degree of involvement in the purchase (Blackwell, Miniard, and Engel, 2001;
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Akir & Othman

Kotler, 1998; Lamb, Hair, and McDaniel, 2000; Business World, 2001).
Conceptually, all consumer buying decisions generally fall along the continuum of
three broad categories: routine response behaviour or habitual decision making;
limited-decision making; and extensive decision-making (Lamb, Hair, and
McDaniel, 2001, Kotler, 2003). The common notion is, consumer tends to be
highly involved when they purchase expensive items, and less involved when
they purchase low involvement products that they purchase frequently and the
price is less expensive (Blackwell, Miniard, and Engel, 2001, Business World,
2001).

Prior to choice decision or repurchase intention, consumers place a number of
attributes in his or her choice sets, in order of importance and relevance. Among
these attributes are price and quality, and consumers tend to use price as a proxy
to quality (Lichtenstein, Bloch, and Black, 1988; Bloch and Black, 1988; Dodds,
Monroe, and Grewal, 1991; Ofir, 2004). However, studies also reveal that,
besides price and quality, other cues that are also considered as more important
to assess the product‟s worth, are attributes such as brand, store name, past
experience, attitude and product information (Cury and Riesz, 1988; Stafford and
Enis, 1969; Erikson and Johansson, 1985; Zeithaml, 1985; Tellis and Geath,
1990, Dodds, Monroe, and Grewal, 1991). Brand name, for example, often
signals as a cue or as a surrogate of product quality use by consumers in their
evaluation of goods or services before they decide to purchase. Some
researchers argue that the effect of price tends to be stronger when it is
presented alone as compared when it is combined together with brand name
(Dodds and Monroe, 1989; Dodds, Monroe, and Grewal, 1991). On the other
hand, Bristow, Schneider, and Schuler (2002), suggest that if consumers
believed that there are differences among brands, then the brand name becomes
the center piece of information in the purchase decision or repurchase intention
and the dependence on the usage of brand name in the search information will
likely increase. Another branch of consumer behaviour research related to brand,
is that, consumers use brands to create or communicate their self-image or
status (Encalas and Betman, 2003; O‟ Cass, and Frost, 2002). Consumers,
sometimes, associate themselves to a given brand when they make brand
choice, and also make their brand choice based on associations with
manufacturer‟s brand name (Aaker, 1997; Fugale, 1986). Besides, brand names
contribute value to the consumer‟s image, as well as the economic success of the
businesses, and it also can affect preference, purchase intention and
consequently, sales (Alreck and Settle, 1999; Ataman and Ulengin, 2003).

An economic theory of information was first proposed by George Stigler in 1961.
Accordingly, this theory assumes that the markets are characterized by price
dispersions and both seller and buyer has little information about this dispersion
of prices. As such, consumer has to engage in search activity in order to obtain
information about the products and price at cost. According to Avery (1996)
rational consumers are assumed to search for product information/price
information to a point where the marginal benefits of search are equal to the
marginal costs of search. The search for product information varies in
accordance to price and quality perception on products or services to be
purchased. If consumers perceived that there is a high level of price and higher


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quality variability in the market then they should be more willing to engage in
search activities for price and quality information (Avery, 1996).
Consumers purchase/repurchase intention or purchase decision for a product
and/or service is driven by various reasons, which can be triggered by rational or
emotional arousal (Schffmann and Kanuk, 2004). For example, consumers use
brands to communicate their self-image or status, and the brand images chosen
must be congruent to their own and match to groups they aspire to establish an
association with (Burnkrant and Cousineau, 1975; Bearden, Netemeyer, and
Teele, 1989; Encalas and Bettmann, 2003; O‟ Cass and Frost, 2002). Similarly,
consumers will seek for others who are significant to them for information or wish
to associate or bond with, that is, the group social norms with whom consumers
aspire to establish a psychological association or bonding, such as friends,
neighbours, and the like (Bunkrant and Consineau, 1975; Park and Lessig, 1977;
Bearden, Netemeyer, and Teele, 1989; Mourali, Laroche, and Pons, 2005; Kropp,
Lavack, and Holden, 2005; Kropp, Lavack and Silvera, 2005). Besides, other
factors, such as price, income, education, and other attributes also contribute to
purchase decision/repurchase intention (Andaleeb and Conway, 2006; Al-Hawari
and Ward, 2006; Jamal and Naser, 2002).

2.2    Research Conceptual Framework and Hypotheses
As previously discussed, past and recent studies provide empirical evidence, that
suggest the existence of a relationship between demographic variables, product
attributes and purchase or repurchase intention. Nonetheless, within the domain
of service marketing studies pertaining to the determinants that influence
consumers‟ repurchase intention and satisfaction were widely investigated and
researched in comparison to tangible products. These determinants include
service quality determinants such as reliability, access, courtesy, competence,
responsiveness,      tangibles,   credibility,    communication,       customization,
understanding customers‟ needs, and security. Other determinants mentioned in
past studies also included past experience, prior knowledge or familiarity, culture,
demographic variables such as income, education, household size, children and
so forth. Likewise, the studies on consumer susceptibility to interpersonal
influence were also well researched but the study directly investigating the
relationship between interpersonal influence and customer‟s repurchase intention
is still fuzzy. Furthermore, in the literature, past studies that integrated and
directly linked product attributes importance, demographic variables and
interpersonal influence in explaining repurchase intention was also unclear.
Therefore, in view of this argument and to fill in the gap in the literature and add
to the body of knowledge in consumer behaviour model and conception, this
research attempts to explore specifically amongst others, the relationship among
all these variables (product attributes importance, demographic variables,
interpersonal influence and repurchase intention) pertaining to consumers
decisions to purchase or repurchase selected tangible consumer goods (high and
low involvement products). For the purpose of this research the following
conceptual framework was developed as depicted in Figure 1 below.

The framework of this research was developed based on stochastic models of
brand choice and purchase incidence as modified by Jones and Zufryden (1980).
Jones and Zufryden‟s model used demographic variables (household income and

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the number of children in a household) and marketing mix (price dimension) as
explanatory variables to predict brand choice or purchase (criterion variable).
Jones and Zufryden‟s model was tested using logit model estimation. The
explanatory variables were categorical data and the criterion variable was metric
data. Jones and Zufryden‟s (1980) modified model was adapted due to its
flexibility. It was suggested by the authors who developed the model that, “in
terms of its use, the model involves relatively straightforward parameter
estimation procedure and one that is adaptable to exploratory model building”
(Jones and Zufryden, 1980, p. 332). In other words, the intention of Jones and
Zufryden (1980) was to develop a general model which can be used to aid in
marketing decision process. Hence, it was also suggested that the model is very
flexible in which the explanatory variables can be added and dropped as required
by the researchers who wish to replicate or adapt the model. However, in the
current research framework, besides household income, number of children and
price, additional explanatory variables of product attributes importance such as
quality, brand name, product information and interpersonal influence variables
were added to the model. In contrast to Jones and Zufryden„s model, the current
research framework was tested using standardized multiple regression
procedures to determine the linear relationship among all sets of variables used
in the research. This was because the data used in the research were metric for
both the explanatory/independent variables and the criterion/dependent variable.

      Explanatory Variables                             Criterion Variable

        The Determinants that
        Influence Consumer‟s
        Purchase Behaviour

        Attributes Importance
                                                        Consumer‟s Purchase
         Quality                                       Behaviour
         Price
         Brand Name                                    Repurchase Intention
         Product Information                           [Low and High
        Interpersonal Influence                         Involvement Products]
         Normative Influence
         Informational Influence
        Demographic Variables
         No. of Children
         Household Income                Figure 1: The Research Framework

Based on the above argument and discussions in the literature, the following
general hypotheses and specific hypotheses were developed:
General hypotheses:

H1: There is a relationship between products‟ attributes importance,
    demographic variables, interpersonal influence and a consumer‟s
    repurchase intention.

Specific hypotheses:

H1a: There is a relationship between quality attribute importance and a
     consumer‟s repurchase intention.

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Akir & Othman

H1b: There is a relationship between price attribute importance and a
     consumer‟s repurchase intention.
H1c: There is a relationship between brand name attribute importance and a
     consumer‟s repurchase intention.
H1d: There is a relationship between product information attribute importance
     and a consumer‟s repurchase intention.
H1e: There is a relationship between normative influence and a consumer‟s
     repurchase intention.
H1f: There is a relationship between informational influence and a consumer‟s
     repurchase intention.
H1g: There is a relationship between a household income and a consumer‟s
     repurchase intention.
H1h: There is a relationship between the number of children in a household and
     a consumer‟s repurchase intention.

3.    Research Methodology
This section briefly describes the research design, population and sample size,
data collection procedure as well as data analysis procedure.

3.1   Research Design and Sampling Procedure
A cross-sectional survey was conducted. A non-probability sampling approach
was employed and a quota sampling technique was applied to draw the sample.
This approach was employed because the sample frame was not easily available
and difficult to draw from and the target population cannot be reached and
identified effectively and efficiently by other means of sampling (Clarke, 2006).
Kinnear and Taylor (1996) reported that about 86 percent of businesses used
quota sampling in business research practice. Further, Kress (1988) contended
that samples, if properly selected, are sufficiently accurate in most cases and
even when the data has considerable heterogeneity, large samples provide data
of sufficient precision to make most decisions (Zikmund, 2000). The target
sample for this study was 1000 consumers residing in one of the cities in one of
the states in Malaysia.

3.2   Target Population and Sample Size
The target population for the research comprised consumers residing in one of
the city in East Malaysia. The total population of the city is 422,240, consisting
210,034 male and 212, 205 female (Department of Statistics, Malaysia, 2004, p.
34). Approximately 1000 consumers were targeted and divided proportionately by
gender, that is, about 50 percent male and 50 percent female. This composition
closely exhibited the population parameter of the chosen city based on statistical
report drawn from Department of Statistics, Malaysia (2004). The sample size
was considered as adequate, since the minimum sample to determine sample
size from a given population is 384 (Krejcie and Morgan, 1970) for every one
million population.



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3.3   Data Collection Procedure
A total of 1000 questionnaires were distributed using mall intercept at six selected
retail outlets located at one of the cities in East Malaysia. The retail outlets
included supermarkets, small retail stores, departmental stores, specialty stores,
hypermarkets, and malls. The selected units of analysis were interviewed
personally. If the sample units were unable to complete the questionnaires, they
were requested to send them by mail using a paid stamped-self-address envelop
provided by the researcher or to return them personally the following day to the
interviewers stationed at the selected retail outlets. The interviews were
conducted daily from 10.30 a.m to 9.30 p.m for three months from September
2008 to November 2008. The personal interviews took place within these three
months and only ended when the minimum targeted size of 500 respondents who
fully completed the questionnaires were achieved with at least 50 percent male
and 50 percent female composition as had been determined by the researcher in
order to meet the quota targeted. The data collected must meet the desired
characteristics that had been determined by the researcher.

3.4   Instrument
Before the full scale research was carried out, pre-testing was performed to
ensure there were no design errors in the questionnaire. Therefore any mistakes
and changes could be corrected and improved. The pre-test was administered
using 30 consumers as respondents who characterized the intended consumers
for the main research. They consisted of part-time students who enrolled for the
Bachelor in Business Administration (Honours) (Marketing) (BBA) (M) and
Executive Master in Business (EMBA) programmes at one of the public
universities located at one of the cities of an East Malaysian state. These
respondents were selected at the researcher‟s convenience and they were
similar in makeup to the sample of the main research (Zikmund, 2000; Malhotra,
2004). Feedback from the pre-test study indicated that the respondents were
comfortable with the questions asked. However, based on the pre-test feedback,
a few changes were made to ensure the final respondents in the actual survey
understand the questions. At this pre-testing stage, the respondents were also
asked to rank order which of the products category given to them that they
considered as high involvement products and low involvement products of the six
categories chosen, namely: personal computer, fashion clothing, instant noodle,
instant coffee and detergent.

In order to address the research questions and objectives, a set of structured
questionnaire was prepared consisting of four sections, namely section A, B, C
and D. Section A captured the consumers‟ general shopping behaviour pattern
which addressed questions related to the products category that the consumers
bought, why did the consumers buy the products, what were the preferred brand
names bought by the consumers, did they prefer foreign brand or local brand,
what were the reasons for choosing foreign and local brand, when did they
usually buy the products, where did they usually buy the products, how much
they spent and how many times they bought the products for the last 12 months,
how did they know about the products, which advertisements medium influenced
them the most, who influenced their purchasing decisions and what were the
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products category that they ranked as the most important in their decision making
process. Section B which included questions on attributes importance and
interpersonal influence consists of 39 items using a 7-point Likert Like Scale
anchored with “1” as strongly disagree and “7” as strongly agree. These items
included price (7 items), quality (7 items), brand (7 items), product information (6
items) and interpersonal influence (12 items). The items used in section B were
adapted from various authors related to the research such as Aliman‟s (2005)
product information scales, Lichtenstein, Ridgway and Netemeyer„s (1993) price -
quality scales, Sproles and Kendall‟s (1986) consumer decision making styles
scales, Bearden, Netemeyer and Teele‟s (1989) 12-items Consumer
Susceptibility to Interpersonal Influence scales (CSI), and Blair and Innis‟s (2002)
brand dependence scales. Section C captured the questions on the consumer‟s
repurchase intention consisting of eight items adapted from Levesque and
McDougall„s (1996) repurchase intention scales using a 7-point Likert Like Scale
anchored with “1” as strongly disagree and “7” as strongly agree. Please refer to
Appendix 1 for the detailed items used in the research.

Finally, section D required the respondents to state their personal information
regarding their gender, age, income, education, family size, number of children in
a household, household size, marital status, religion, employment sectors,
occupation, religious orientation, involvement level and a presence of at least one
child in a household. Six types of product category selected for the research were
personal computer, branded perfume, and fashion clothing which represented the
high involvement product category, while detergent, instant noodle, and instant
coffee were low involvement products.

3.5   Analysis Procedure
The data was analyzed using Statistical Package for Social Sciences (SPSS)
version 12.0. Descriptive statistics such as mean and standard deviation were
generated to provide an overview of the data. Frequency distribution was used to
describe the characteristics of the consumers‟ general shopping behaviour
pattern as well as to profile the respondents‟ personal information. The
standardized multiple-regression analysis was used to examine the linear
relationship between the explanatory/dependent variables (quality, price, brand
name, product information, normative influence, informational influence,
household income, number of children) and the criterion/dependent variable
(repurchase intention). Correlation coefficient test and significant levels were
conducted to check the strength of the linear relationships between pairs of
variables. The determinant of correlation matrix was generated to provide the
information on the multicollinearity. Kaiser‟s criterion (KMO) and Barlett‟s Test of
Sphericity was performed as a check to substantiate the appropriateness of
conducting a factor analysis and also to examine the sampling adequacy.
Cronbach‟s alpha coefficient was conducted to determine the items reliability and
internal consistency (Nunally, 1978; Malhotra, 2004).




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4.    Findings and Discussions

4.1   Respondents’ Profile
Out of 1000 respondents interviewed through mall intercept, only 500 sets of the
questionnaires were fully completed and useable in the analysis which yielded a
response rate of 50 percent. The research findings revealed that 259 (51.8%) of
the respondents were female and 241 (48.1%) were male. The research also
indicated that 172 (34.4%) of the respondents were aged between 25 to 29 years
old, followed by 107 (21.4%) aged between 20 to 24 years old, 87 (17.4%) of the
respondents were within the age range of 30 to 34 years old, 51 (10.2%) of them
were aged between 35 to 39 years old, 34 (6.8%) were aged between 40 to 44
years old, 22 (4.4%) of them aged below 20 years old, while 13 (2.6%) of them
were aged between 45 to 49 years and the other 14 (2.6%) of them were 50
years old and above. In terms of household income, the research indicated that
the household monthly income of the respondents were mostly within the range
of RM2000 to RM4999 (197 or 39.4%), followed by 129 (24%) between RM5000
to RM6999, 81 (16.2%) below RM1000, 52 (10.4%) between RM7000 to
RM8999, 24 (4.8%) between RM9000 to RM9999, and only 26 (5.2%) earned
above RM10 000. Most of the respondents, that is, 169 (33.8%) of them had
college diploma level of education, followed by a university degree, that is, 143
(28.6%) of them, 108 (21.6%) of them had secondary level of education, five
(1%) of them had primary level education, and 18 (3.6%) had other educational
level.

Essentially, the majority of the respondents, that is, 246 (49.2%) were single, 167
(33.4%) of them were married with children, 80 (16%) of them were married
without children, and seven (1.4%) of them were divorced/widowed or single-
parents. The majority of the respondents were Christians (248 or 49.6%), 168
(33.6%) of them were Muslims, 67 (13.4%) were Buddhist/Taoist, 11 (2.2%) of
them were Hindu and six (0.2%) of them were from other beliefs. Most of the
respondents had 3 to 4 children in their household (223 or 44.6%), 145 (29%)
had 5 to 6 children, 82 (16.4%) of them had between 1 to 2 children, and 50
(10%) of them had 7 or more children. On average most of the respondents were
religious people, that is, 411 (82.2%) of them stating that their strength of
religious orientation were between average and strong. While the other 63
(12.6%) of them and another 26 (5.2%) of them stated that their strength of
religious orientation were between very strong and very weak, respectively.
Please refer to Appendix 2 for the detailed breakdown of the respondents‟
characteristics.

4.2   Respondents’ Shopping Behaviour Pattern
In terms of buying decision, the research indicated that a majority of the
respondents ranked buying fashion clothing as their most important purchase
decision, followed by personal computer, branded perfume, instant noodle,
instant coffee, and stated buying detergent as the least important purchase
decision. This finding seems to be consistent with past studies that contended
any purchase which is used publicly such as fashion clothing (rank 1, mean -
1.72) is considered as an important decision by consumers (Clerk and Belk,
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1979). Buying personal computer (Rank 2, mean - 1.88) was also considered as
an important decision. This could be due to its expensive price which requires the
consumers to search for information and opinion from others. The next important
purchase decision is buying branded perfume (rank 3, mean - 2.43), but its usage
is invisible to the public as compared to fashion clothing. However, in general,
buying low involvement products such as instant noodle, instant coffee and
detergent were not considered as an important decision by consumers because
these products are bought frequently and do not require considerable effort for
information search in the consumer‟s decision making process.

In conclusion, the results of the findings were consistently in line with the notion
that consumers tend to be more involved when they decide to purchase
expensive items and the products that they purchase display social visibility in
comparison to purchasing inexpensive, frequently purchased items and if the
usage of the product is not publicly visible (Lamb, Hair, and McDaniel, 2001,
Kotler, 2003; Blackwell, Miniard, and Engel, 2001; Business World, 2001; Asseal,
1987; Clarke and Belk, 1979). Examples of such products include instant noodle,
instant coffee and detergent, which are considered as low involvement products
and perfume which is used by consumers but not publicly visible. In relation to
brand preference, a majority of the respondents mentioned Acer as the most
preferred brand for personal computer/laptop, followed by Dell and Compact.
While fashion clothing (designer label) most preferred was Levi‟s followed by
Nike, Adidas and Nicole. Calvin Klein was considered as the most preferred
brand for branded perfume, followed by Avon, Silky, and Body Shop. Next,
Breeze was the most preferred brand for detergent, followed by Daia and Fab.
For instant noodle, Maggie was the most preferred brand, followed by Indomee,
and Mee Sedap. While for instant coffee, Nescafe was the most preferred brand,
followed by Kapal Api and Indocafe.

 Table 1: Most Important Purchase Decision Ranked According to Products‟ Category

  No.   Products‟ Category                                     Mean Score   Rank
  1.    Fashion Clothing                                       1.72         1
  2.    Personal Computer / Laptop                             1.88         2
  3.    Branded Perfume                                        2.43         3
  4.    Instant Noodle                                         4.84         4
  5.    Instant Coffee                                         5.03         5
  6.    Detergent                                              5.11         6

 Note: Most important given rank “1” and least important rank “6”

In terms of place, a majority of the respondents stated that they purchased their
personal computer at departmental stores, followed by specialty stores, malls,
small retail shops and other shops in that order. Most respondents went to
departmental stores and malls to purchase their fashion clothing and only a few
preferred to go to small retail shops. Similarly, most of the respondents preferred
to shop at departmental stores, supermarkets and malls to buy their branded
perfume, and only a few of them went to small retailers and other shops.
However, for low involvement products such as detergent, instant noodle and
instant coffee, most of the respondents stated that they preferred to go to
supermarkets to purchase them.


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For most high involvement products such as personal computer, fashion clothing,
and branded perfume, a majority of the respondents preferred to purchase them
during special occasion, for example, during sales or promotion periods
throughout the year. For low involvement products such as detergent, instant
noodle and instant coffee, the respondents preferred to buy them either weekly or
monthly. The majority of the respondents, who purchased high involvement
products such as personal computer/laptop, fashion clothing, and branded
perfume, stated that they preferred foreign brand manufactured in foreign
countries. In contrast, for low involvement products such as instant noodle,
instant coffee and detergent, a majority of the respondents mentioned that they
preferred to buy local brands manufactured domestically. The reason for buying
foreign brands for high involvement products like personal computer, fashion
clothing and branded perfume is mainly because they believed that foreign
brands were of high quality as compared to local brands. In addition these
products carry established brand names and are reasonably priced. In contrast,
for low involvement products like instant noodle, instant coffee and detergent,
most of the respondents stated that they preferred local brands because the price
was cheap as compared to foreign brands. On average most of the respondents
spent between RM1000 to RM3000 to purchase a personal computer/laptop. This
explains the popularity of Acer brand among the respondents because the market
price for most Acer brand is around RM2000 to RM3000. For fashion clothing and
branded perfume, the majority of the respondents stated that they spent between
RM100 to RM200 to buy them. In contrast, for low involvement products such as
instant noodle, instant coffee and detergent, most of the respondents spent on
average between RM10 to RM21 to purchase them. For high involvement
products such as personal computer/laptop and branded perfume, most of the
respondents stated that they purchased them only once in the past 12 months.
However, for fashion clothing, they purchased them between one to six times in
the past 12 months. In contrast, most of the respondents buy instant noodle,
instant coffee and detergent more than six times in the past 12 months.

The majority of the respondents stated that they bought both category of products
(high and low involvement products) mainly for their own use, and only a few of
them mentioned that they bought the products as „gift giving‟ and for other
purposes. Most of the respondents mentioned that they frequently saw
advertisements on personal computer/laptop, fashion clothing, and branded
perfume in magazines, brochures/catalogs, TV ads, and newspapers. While
advertisements for detergent, instant noodle, and instant coffee were frequently
advertised on TV, radio, newspapers, and a few in magazines. The respondents‟
decisions to purchase or not to purchase a personal computer/laptop were
influenced by ads found in brochures/catalogs, magazines and newspapers as
compared to other medium of advertisements. For fashion clothing and branded
perfume, most of the respondents stated that their decisions were influenced by
ads found in magazines and brochures/catalogs, and also influenced by TV ads,
such as Silky brand for perfume. For most low involvement products, such as
instant noodle, instant coffee, and detergent, their decisions were influenced by
TV ads as compared to other medium of advertisements. The opinion of
significant others (such as family members, friends, spouses, siblings, children,
salespersons and the like) that influenced on the decisions of the respondents to
purchase or not to purchase a personal computer/laptop were influenced by

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friends, followed by family members and salespersons. Decisions on fashion
clothing and branded perfume were influenced by friends, spouses, family
members and salespersons. In contrast, for low involvement products such as
instant noodle, instant coffee, and detergent, their decisions were influenced by
their spouses, followed by family members and lastly, friends. Please refer to
Appendix 3 for the summary of the respondents‟ shopping behaviour pattern.

4.3    Descriptive Statistics,            Correlation       Coefficients        and
       Significance Level
A number of statistical tests were conducted to determine the basic information
on mean, standard deviation, and N, which are useful to identify the presence of
outliers and the adequacy of sample size. The univariate descriptive statistic was
conducted and the results revealed that there was non-existence of outliers with
standard deviation for all the sets of variables lay within +3 and -3 range
(Zikmund, 2000; Malhotra, 2004). The correlation coefficients and significance
level were tested to determine the strength of linear relationships between the
pairs of variables. The results showed that all the sets of variables correlated well
and the results yielded correlation coefficient between 0.30 and below 0.70
among variables (Pallant, 2007), and had positive significant relationship at 0.01
level (sig.- 1-tailed). This information is important to determine whether variables
that are not correlated should be excluded for factor analysis. The determinant of
the correlation matrix provided the information on multicollinearity. The presence
of highly correlated variables will lead to a problem of multicollinearity. However,
a check on Tolerance (TOL) indicates a value of more than 0.10 and the
Variance Inflation Factor (VIF) is less than 10 for all the independent variables,
which confirms that the possibility of multicollinearity is not detected (Pallant,
2007) - see Table 2 and Table 3 below.

4.4    Standardized Multiple Regression Analysis – Testing the
       Relationship between Explanatory/Dependent Variables
       and Criterion/Dependent variable
To determine which of the explanatory/dependent variables (quality, price, brand
name, product information, household income, number of children and
interpersonal influence) included in the model contributed to the prediction of the
criterion/dependent variable (repurchase intention), a standardized multiple
regression analysis using enter method was conducted for the different products
categories used in the research. The detailed results of the tested model are
explained and provided in Table 2 and Table 3. Column (i) depicts the product
category used in the research and column (ii) shows the sets of explanatory
variables/independent variables. Column (iii) shows the beta value which
indicates the importance of each explanatory variable in terms of the contribution
of each variable in predicting the criterion variable, when the variance explained
by all other variables in the model is controlled for. Column (v) shows the
significant value of the relationship between the explanatory variables and the
criterion variable. This column shows whether or not each of the explanatory
variable, is making a statistically significant unique contribution to the equation.
Column R-squared shows how much of the variance in the dependent variable is

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explained by the model. This R-squared is multiplied by 100 and will yield the
percentage of the variance.

 The resulted standardized multiple regression as shown in Table 2, for fashion
clothing, beta values in the model showed that quality contributed 0.192, price
contributed 0.096, brand name contributed – 0.280, product information
contributed 0.208 and household income contributed – 0.082 in explaining the
consumers‟ repurchase intention, indicating that these variables made a unique
contribution to explaining the dependent variable, when the variance explained by
all other variables in the model is controlled for. The other variables, that is,
normative influence (beta value -0.048; p-value = -0.933), informational influence
(beta value -0.067; p-value = 0.155) and number of children (beta value -0.017;
p-value = 0.635) and the relationship between these variables and repurchase
intention was not significant, indicating that these variables made less
contribution in explaining the repurchase intention. As depicted in the same table
(Table 2), the relationship between quality, price, brand name, product
information, household income and repurchase intention was significant (p-value
for quality = 0.000, p-value for price = 0.001, p-value for brand name = 0.000, p-
value for product information = 0.000 and household income p-value = 0.027),
indicating that these variables made a unique, statistically significant contribution
to the prediction of repurchase intention. The R-squared shows that 59.9% of the
variance in the dependent variable is explained by the model.

Meanwhile for personal computer, as shown in Table 2, beta values revealed that
quality contributed – 0.235, brand name contributed – 0.239, product information
contributed – 0.238 and informational influence contributed – 0.239 in explaining
repurchase intention and the relationship was significant (quality p-value = 0.000,
brand name p-value = 0.000, product information p-value = 0.000 and
informational p-value = 0.000), indicating that quality, brand name, product
information and informational influence made a unique, and statistically
significant contribution to the prediction of repurchase intention. The other
variables such as price, normative influence, household income, and number of
children made less contribution and did not contribute significantly in explaining
repurchase intention. The R-squared shows that 64.1% of the variance is
explained by the model. On the other hand, as depicted in Table 2, for branded
perfume, beta values showed that brand name contributed 0.301, price
contributed 0.153, quality contributed 0.120, and product information contributed
0.119 in explaining repurchase intention. The result also revealed that there was
a significant relationship between the independent variables and dependent
variable (brand name p-value = 0.000, price p-value = 0.001, quality p-value =
0.004 and product information p-value = 0.027), indicating that these variables
made a unique, statistically significant contribution to the prediction of repurchase
intention. The other variables such as informational influence, household income
and number of children made less contribution and did not statistically have a
significant contribution in explaining repurchase intention. The R-squared shows
that 55.3% of the variance in the dependent variable is explained by the model.

Hence, for high involvement products, the hypotheses H1a, H1b, H1c, H1d, H1f
and H1g below were supported for the types of product category as specified in
the brackets.

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H1a: There is a relationship between quality attribute importance and a
     consumer‟s repurchase intention (fashion clothing, personal computer and
     branded perfume).
H1b: There is a relationship between price attribute importance and a
     consumer‟s repurchase intention (fashion clothing and branded perfume).
H1c: There is a relationship between brand name attribute importance and a
     consumer‟s repurchase intention (fashion clothing, personal computer and
     branded perfume).
H1d: There is a relationship between product information attribute importance
     and a consumer‟s repurchase intention (fashion clothing, personal
     computer and branded perfume).
H1f: There is a relationship between informational influence and a consumer‟s
     repurchase intention (personal computer).
H1g: There is a relationship between a household income and a consumer‟s
     repurchase intention (fashion clothing).

However, it was also indicated that the relationship between normative influence,
number of children in a household, informational influence, household income
and repurchase intention was not significant, indicating that the hypotheses
below were not supported for the types of product category being investigated in
the research as specified in the brackets.

H1e: There is a relationship between normative influence and a consumer‟s
     repurchase intention (fashion clothing, personal computer and branded
     perfume).
H1h: There is a relationship between a number of children in a household and a
     consumer‟s repurchase intention (fashion clothing, personal computer and
     branded perfume).
H1f: There is a relationship between informational influence and a consumer‟s
     repurchase intention (Fashion clothing and branded perfume)

As depicted in Table 2, it can be concluded that when a consumer decides to
repurchase a high involvement product, they would consider the quality of the
product, the price of the product, the brand name of the product, product
information and as well as seeking information from others who are significant to
them especially when they purchase expensive items, in this case, purchasing a
personal computer. The other attributes such as normative influence, income and
number of children do not dominantly influence their decision to repurchase. In
terms of low involvement products, as depicted in Table 3, beta values showed
that quality (beta value –0.165, p-value = 0.002), price (beta value – 0.183, p-
value = 0.006), brand name (beta value – 0.293, p-value = 0.000), and number of
children (beta vale – 0.096, p-value = 0.011) made a unique, statistically
significant contribution to explaining the dependent variable, when the variance
explained by all other variables in the model is controlled for. This is particularly
true for instant noodle but for instant coffee and detergent only price (beta value –
0.222, 0.272; p-value = 0.001, 0.000) and brand name (beta value – 0.172,
0.340; p-value = 0.001, 0.000) made a unique, statistically significant contribution
to the prediction of repurchase intention. The other variables made less
contribution and did not statistically significantly contribute to the prediction of
repurchase intention. The R-squared showed that 56.5% (instant noodle), 53.6%

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(instant coffee) and 49.9% (detergent) of the variance were explained by the
model. In contrast, for low involvement products, the following hypotheses were
supported particularly for instant coffee and detergent except for instant noodle
which showed hypotheses H1a and H1h were also supported. The other
hypotheses (H1a, H1d, H1e, H1f, H1g and H1h) were not supported (instant
coffee and detergent).

H1b: There is a relationship between price attribute importance and a
     consumer‟s repurchase intention (instant coffee and detergent).
H1c: There is a relationship between brand name attribute importance and a
     consumer‟s repurchase intention (instant coffee and detergent).

As shown in Table 3, it can be concluded that when a consumer decides to
repurchase a low involvement product the most important factors that influence
his or her decision are price and brand name, besides quality. In this specific
case, other factors such as product information, interpersonal influence, income
and number of children did not significantly influence a consumer‟s purchase
decision. This finding is found to be inconsistent with Jones and Zufryden (1980)
in which demographic variables were reported to significantly contribute to the
prediction of brand choice or purchase. This could be due to the limited number
of explanatory variables entered in their model equation.




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                                 Table 2: Standardized Regression Coefficients Model

Products             Variables                             Standardized                                  Collinearity Statistics
Category                                                    Coefficients
                                                                Beta             t-value        Sig.     Tolerance          VIF
                                                                                              p-value
(i)                  (ii)                                       (iii)              (iv)         (v)         (vi)           (vii)
                     Quality                                   0.192              4.319       0.000**      0.659          1.517
Fashion              Price                                     0.096              2.170       0.031*       0.670          1.493
clothing             Brand Name                                0.280              4.873       0.000**      0.396          2.528
                     Product Information                       0.208              4.873       0.000**      0.522          1.918
                     Normative Influence                      -0.046             -2.933       -0.933       0.546          1.831
                     Informative Influence                    -0.067             -1.421        0.156       0.580          1.724
                     Household Income                          0.082              2.225       0.027*       0.959          1.042
                     Number of Children                        0.017              0.474        0.635       0.989          1.011
                     R-squared = 0.599 (59.9%)         F-value=34.372

Products             Variables                             Standardized                                  Collinearity Statistics
Category                                                    Coefficients
                                                                Beta                t           Sig.     Tolerance          VIF
                                                                                              p-value
Personal             Quality                                   0.235              5.126       0.000**      0.569          1.758
Computer             Price                                     0.033              0.712        0.477       0.561          1.784

                     Brand name                               0.239               4.488       0.000**      0.423          2.364
                     Product Information                      0.238               4.680       0.000**      0.463          2.160
                     Normative Influence                      0.056               1.267        0.206       0.635          1.574
                     Informative Influence                    0.239               5.464       0.000**      0.629          1.591
                     Household Income                         0.048               1.381        0.168       0.974          1.027
                     Number of Children                       0.000               0.002        0.999       0.981          1.019
                     R-squared = 0.641 (64.1%)         F-value=42.908
Products             Variables                            Standardized                                   Collinearity Statistics
Category                                                   Coefficients
                                                                Beta                t           Sig.     Tolerance          VIF
                                                                                              p-value
                   Quality                                    0.120               2.879         0.004*     0.812          1.231
Branded            Price                                      0.153               3.439         0.001*     0.710          1.483
Perfume            Brand Name                                 0.301               5.443         0.000*     0.462          2.166
                   Product Information                        0.119               2.222         0.027*     0.531          1.885
                   Normative Influence                        0.059               1.135          0257      0.552          1.812
                   Informative Influence                      0.056               1.110         0.268      0.678          1.474
                   Household Income                           0.059               1.289         0.198      0.968          1.033
                   Number of Children                         0.043               1.119         0.264      0.958          1.043
                   R-squared = 0.553 (55.3%)          F-value=27.097
      *Dependent variable - repurchase intention; ** Significant at <0.01; * Significant at <0.05




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                             Table 3: Standardized Regression Coefficients Model

 Products            Variables                         Standardized                                Collinearity Statistics
 Category                                              Coefficients
                                                              Beta             t         Sig.        Tolerance           VIF
                                                                                       p-value
                                                              (i)                        (ii)            (iii)           (iv)
                     Quality                                0.165           3.115      0.002*           0.495           2.022
 Instant Noodle      Price                                  0.183           2.740      0.006*           0.311           3.216
                     Brand Name                             0.293           4.906      0.000**          0.388           2.578
                     Product Information                    -0.014          -0.261      0.794           0.489           2.045
                     Normative Influence                    -0.081          -1.287      0.199           0.353           2.835
                     Informative Influence                  0.077           1.179       0.239           0.326           3.072
                     Household Income                       0.051           1.359       0.175           0.970          1.031
                     Number of Children                      0.96           2.554      0.011*           0.982          1.018
                     R-squared = 0.565 (56.5%)         F-Value=28.854
 Products            Variables                           Standardized                                Collinearity Statistics
 Category                                                 Coefficients
                                                              Beta             t         Sig.        Tolerance           VIF
                                                                                       p-value
                     Quality                                 0.066          1.168       0.243           0.458           2.183
                     Price                                   0.222          3.321      0.001**          0.325           3.076
 Instant Coffee      Brand Name                              0.272          4.334      0.000**          0.368           2.720
                     Product Information                     0.040          0.732       0.465           0.487           2.054
                     Normative Influence                    -0.099          -1.462      0.145           0.316           3.168
                     Informative Influence                   0.082          1.232       0.218           0.329           3.041
                     Household Income                        0.041          1.074       0.283           0.981           1.019
                     Number of Children                      0.050          1.304       0.193           0.988           1.013
                     R-squared = 0.536 (53.6%)         F-value=24.699
 Products            Variables                           Standardized                                Collinearity Statistics
 Category                                                 Coefficients
                                                              Beta             t         Sig.        Tolerance          VIF
                                                                                       p-value
                   Quality                                   0.076           1.751       0.081         0.804           1.243
                   Price                                     0.172           3.749      0.000**        0.730           1.371
 Detergent         Brand Name                                0.340           6.461      0.000**        0.552           1.810
                   Product Information                       0.019           0.390       0.697         0.638           1.567
                   Normative Influence                      -0.084          -1.541        0.24         0.517           1.934
                   Informative Influence                    -0.010          -1.176       0.860         0.465           2.151
                   Household Income                          0.008           0.194       0.846         0.969           1.031
                   Number of Children                        0.012           0.300       0.765         0.967           1.034
                   R-squared = 0.499 (49.9%)          F-value=20.383
     *Dependent variable - repurchase intention; ** Significant at <0.01; * Significant at <0.05

In conclusion, since F-values are well above 1 and at least one of the
independent variables is significantly related to dependent variables, hence the
model can be considered as valid (Hair, Anderson, Tatham, and Black, 1995;
Hair, Black, Babin, Anderson and Tatham, 2006; Pallant, 2007). In addition, inter-
item consistency reliability test (Cronbach‟s alpha coefficient) was performed to
identify the consistency of the respondents‟ answers to all the research items.
The result reveals high reliability scores among all factors with Cronbach‟s alpha
coefficient well above the recommended threshold of 0.70 and 0.80 (Nunally,
1978; Malhotra, 2004) - Please refer to Appendix 4. Principal component factor
analysis was conducted and the overall measure of sampling adequacy for the
set variables included in the analysis for each product category met the Kaiser‟s
criterion (KMO) and all the sets of variables exceeded the minimum requirement
of 0.50 and significant Barlett‟s Test of Sphericity was revealed (see Appendix 5).

5.         Summary and Conclusions
Essentially, the research indicated that the majority of the consumers who
patronize the departmental stores, supermarkets, malls and hypermarkets were
young executives, single people with an income between RM2000 to RM4999.
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Akir & Othman

The findings of the research also suggested that consumers were consistently
brand conscious and preferred to buy established brands especially for
expensive products, for example, personal computer and branded perfume and
also if the product that they bought was highly visible and displayed status
connotation such as fashion clothing (Asseal, 1987; Sheth and Mittal, 2004).
Similarly, besides price, consumers also considered brand name as one of the
driving forces in their decision to purchase or repurchase a product even if the
products that they purchased were inexpensive items such as instant noodle,
instant coffee and detergent. Interestingly, when the consumers decided to
repurchase certain products, regardless of whether those products were
categorized as low or high involvement products, normative and informational
influence did not greatly influence their repurchase decision except for personal
computer in which informational influence strongly influenced the consumers
repurchase decision. This scenario could be due to the consumer‟s prior product
knowledge or past experiences with the products and these two factors were not
considered in the objective of this research.

It was also indicated that consumers emphasized more on product information
and acquired information from others for high involvement products particularly
personal computer as well as perfume which they thought might contain
substances that are prohibited by their religious beliefs. This could be due to the
fact that the consumers in the research were generally religious people,
especially Muslims who are very sensitive to the issue of “halal” products and as
such they would like to know the contents of the products either through their own
experiences or by getting the information from others whom they admire or trust.
The findings of this research supported the notion that consumer behavioural
theories may be applicable globally but consumers‟ tastes, preferences and
purchase decisions could be regionally or locally oriented and further influenced
by their cultural background and norms (Schutte and Ciarlante, 1998).

In addition, consumers tend to be quality conscious specifically for high
involvement products and price sensitive when it concerns low involvement
products. They would prefer to buy low involvement products which are locally
manufactured. In contrast, they would prefer foreign products when they decided
to buy high involvement products because they believed that products such as
personal computer, fashion clothing and branded perfume, besides established
brand names, are also of high quality as compared to locally made products. The
results of this research suggested that the forces that motivate consumers‟
intention to repurchase were driven by established brand names, quality, product
information and informational influence from significant others such as friends,
spouses, and family members, particularly for high involvement products
(personal computer). For low involvement products (such as instant noodle and
instant coffee) consumer repurchase intention were mainly driven by the quality
and the price of the products, besides conforming to spouses‟ choices. It was
also noted that consumers tend to purchase high involvement products mostly
during sales promotion and their purchase decision was partly influenced by
advertisements in magazines, catalogs and brochures. On the other hand, the
consumers‟ decision to purchase low involvement products was mainly
influenced by TV advertisements.


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The findings of this research implied that, regardless of whether the products
that the consumers purchase are low involvement products or high involvement
products, prior concerns of the businesses and managers or marketers are: (1)
consumers‟ involvement in the purchase process; (2) the importance that they
place on certain product attributes; and (3) how significantly others influence their
decision making process prior to the purchase, after the purchase is completed
and the post-purchase behaviour. Hence, this research is beneficial to managers
and marketers to streamline their marketing plans and strategies, in order to
capture the mind and heart of the consumers at large. As such, it is imperative for
marketers and managers to understand consumer behaviour beyond the
marketing stimuli but at the same time should also consider the consumers‟
cultural diversity, customs and norms. Nonetheless, there is an indication that this
research supports the general conception that consumers pay less attention to
price if: (1) other alternatives such as brand names, quality and other more
influential attributes are available (Dodds and Monroe, 1989; Dodds, Monroe, and
Grewal, 1991); and (2) they consider the importance of seeking others‟ opinion in
their choice decision.

In conclusion, the findings of this research has potential input to management
and marketing decision process as well as contribute to the body of knowledge in
terms of exploratory model building, methodology application, consumer
behaviour and marketing management fields.

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Maggie.

  • 1. Journal of Business & Policy Research Volume 5. Number 1. July 2010 Pp. 123 - 157 Consumers’ Shopping Behaviour Pattern on Selected Consumer Goods: Empirical Evidence on Malaysian Consumers Oriah Akir* and Md. Nor Othman** In the consumer behaviour literature, several perspectives on consumer decision making have been considered, including consumer degree of involvement, degree of information search, the number of alternatives available/attributes importance, demographic variables and interpersonal influence that affect consumer buying decision and shopping pattern on certain consumer goods, both high and low involvement products. A cross-sectional survey was conducted and 1000 consumers were interviewed through mall intercept of which only 500 were useable for the analysis of the findings. In this paper, a framework which integrates several dimensions affecting consumer decision making (demographic variables, attributes importance, interpersonal influence) and repurchase intention as well as the possible relationship among variables is developed. The framework is tested by the use of standardized multiple regression analysis to determine the linear relationship among all these variables. The results of this research support the complexity of consumer buying behaviour. Consumers’ preference differs on which attributes they emphasize more as compared to the others, and the issue of how significantly others influence their buying decisions. The findings revealed that purchasing high involvement products was regarded as a very important decision in comparison to purchasing low involvement products. Second, quality, brand name, informational influence and product information had significant direct relationship on repurchase intention for high involvement products. While for low involvement products, price and brand name significantly predict consumers’ repurchase intention. Finally, the influence of significant others/interpersonal influence (spouses, siblings, family members, friends, and the like) did not significantly affect repurchase intention regardless of whether the products are low involvement products or high involvement products. In conclusion, the implications of this research: 1) contributes to the body of knowledge and exploratory model building on consumer purchase behaviour; and 2) the research model will provide an important input to the marketing decision-making process and management decision, such as marketers, product managers and/or brand managers to streamline their marketing plan and strategies. Field of Research: consumer behaviour and marketing 1. Introduction Consumer behaviour theorists generally believe that consumer behaviour theories can be applied globally but consumer preferences and tastes are influenced by their cultural background (Schutte and Ciarlante, 1998). Therefore, marketers and business practitioners have to recognize that consumers‟ attitudes and beliefs, preferences, needs and tastes towards certain products or services are greatly influenced by their culture and the society they belong to. For instance, consumers in other parts of the globe may consider price as the most important determinant in their decision to buy food items, whereas, in others, they may consider quality as the most important factor that may affect their choices. Other factors that may surface could also be the influence of significant others, ____________________________________ * Lecturer of University Technology MARA, Malaysia, oriah@sarawak.uitm.edu.my ** Professor of University Malaya, Malaysia, mohdnor@um.edu.my
  • 2. Akir & Othman such as spouse, siblings, family members, friends, salespersons, relatives or neighbours (on consumers‟ purchase decisions and/or repurchase intentions), and even the marketing stimuli triggered by the marketers. Despite all these uncertainties, marketers or businesses still invest a lot of money in their marketing plans to indulge consumers to buy their products or services. This is an on-going process that they have to deal with in order to meet consumers‟ specific needs and preferences. It is not enough to offer a variety of products, but the true gain in business platform is how to sustain profit and survive in the marketplace by satisfying consumers‟ needs and wants relative to the value of the offerings. Hence, this paper empirically investigate the consumers‟ shopping behaviour pattern on selected consumer goods and address the issues on what they buy, why they buy, when they buy, where they buy, how much and how often do they buy, the factors that influence their buying decisions, and the determinants that influence consumers‟ purchase/repurchase intention. For example, in the case of Malaysia, it was reported that, around 70 percent of Malaysian consumers across all segments plan what they buy. Nevertheless the majority will still buy additional items (AC Nielsen, 2006). Specific research questions addressed by the research: a) What are the general shopping behaviour patterns of consumers when they decide to buy selected consumer goods (high and low involvement products)? b) Is there any relationship between products‟ attributes importance, selected consumers‟ demographic variables, interpersonal influence and consumers‟ repurchase intention? Specific objectives of the research: a) To determine consumers‟ general shopping behaviour patterns when they decide to buy selected consumer goods (high and low involvement products). b) To examine the relationship between product attributes‟ importance, selected consumers‟ demographic variables, interpersonal influence and repurchase intention. 2. Literature Review This section reviews past studies on various factors, such as price, quality, brand, product information, demographic variables and interpersonal influence that might influence consumers‟ purchase decision and how these factors in turn affect their repurchase intention. 2.1 Introduction Understanding consumer behaviour is paramount for both marketers and business alike. Two factors critical to understanding consumer behaviour are: firstly, the degree of differentiation that a consumer perceives in the product or service; and secondly, the fundamental determinant of consumer behaviour is their degree of involvement in the purchase (Blackwell, Miniard, and Engel, 2001; 124
  • 3. Akir & Othman Kotler, 1998; Lamb, Hair, and McDaniel, 2000; Business World, 2001). Conceptually, all consumer buying decisions generally fall along the continuum of three broad categories: routine response behaviour or habitual decision making; limited-decision making; and extensive decision-making (Lamb, Hair, and McDaniel, 2001, Kotler, 2003). The common notion is, consumer tends to be highly involved when they purchase expensive items, and less involved when they purchase low involvement products that they purchase frequently and the price is less expensive (Blackwell, Miniard, and Engel, 2001, Business World, 2001). Prior to choice decision or repurchase intention, consumers place a number of attributes in his or her choice sets, in order of importance and relevance. Among these attributes are price and quality, and consumers tend to use price as a proxy to quality (Lichtenstein, Bloch, and Black, 1988; Bloch and Black, 1988; Dodds, Monroe, and Grewal, 1991; Ofir, 2004). However, studies also reveal that, besides price and quality, other cues that are also considered as more important to assess the product‟s worth, are attributes such as brand, store name, past experience, attitude and product information (Cury and Riesz, 1988; Stafford and Enis, 1969; Erikson and Johansson, 1985; Zeithaml, 1985; Tellis and Geath, 1990, Dodds, Monroe, and Grewal, 1991). Brand name, for example, often signals as a cue or as a surrogate of product quality use by consumers in their evaluation of goods or services before they decide to purchase. Some researchers argue that the effect of price tends to be stronger when it is presented alone as compared when it is combined together with brand name (Dodds and Monroe, 1989; Dodds, Monroe, and Grewal, 1991). On the other hand, Bristow, Schneider, and Schuler (2002), suggest that if consumers believed that there are differences among brands, then the brand name becomes the center piece of information in the purchase decision or repurchase intention and the dependence on the usage of brand name in the search information will likely increase. Another branch of consumer behaviour research related to brand, is that, consumers use brands to create or communicate their self-image or status (Encalas and Betman, 2003; O‟ Cass, and Frost, 2002). Consumers, sometimes, associate themselves to a given brand when they make brand choice, and also make their brand choice based on associations with manufacturer‟s brand name (Aaker, 1997; Fugale, 1986). Besides, brand names contribute value to the consumer‟s image, as well as the economic success of the businesses, and it also can affect preference, purchase intention and consequently, sales (Alreck and Settle, 1999; Ataman and Ulengin, 2003). An economic theory of information was first proposed by George Stigler in 1961. Accordingly, this theory assumes that the markets are characterized by price dispersions and both seller and buyer has little information about this dispersion of prices. As such, consumer has to engage in search activity in order to obtain information about the products and price at cost. According to Avery (1996) rational consumers are assumed to search for product information/price information to a point where the marginal benefits of search are equal to the marginal costs of search. The search for product information varies in accordance to price and quality perception on products or services to be purchased. If consumers perceived that there is a high level of price and higher 125
  • 4. Akir & Othman quality variability in the market then they should be more willing to engage in search activities for price and quality information (Avery, 1996). Consumers purchase/repurchase intention or purchase decision for a product and/or service is driven by various reasons, which can be triggered by rational or emotional arousal (Schffmann and Kanuk, 2004). For example, consumers use brands to communicate their self-image or status, and the brand images chosen must be congruent to their own and match to groups they aspire to establish an association with (Burnkrant and Cousineau, 1975; Bearden, Netemeyer, and Teele, 1989; Encalas and Bettmann, 2003; O‟ Cass and Frost, 2002). Similarly, consumers will seek for others who are significant to them for information or wish to associate or bond with, that is, the group social norms with whom consumers aspire to establish a psychological association or bonding, such as friends, neighbours, and the like (Bunkrant and Consineau, 1975; Park and Lessig, 1977; Bearden, Netemeyer, and Teele, 1989; Mourali, Laroche, and Pons, 2005; Kropp, Lavack, and Holden, 2005; Kropp, Lavack and Silvera, 2005). Besides, other factors, such as price, income, education, and other attributes also contribute to purchase decision/repurchase intention (Andaleeb and Conway, 2006; Al-Hawari and Ward, 2006; Jamal and Naser, 2002). 2.2 Research Conceptual Framework and Hypotheses As previously discussed, past and recent studies provide empirical evidence, that suggest the existence of a relationship between demographic variables, product attributes and purchase or repurchase intention. Nonetheless, within the domain of service marketing studies pertaining to the determinants that influence consumers‟ repurchase intention and satisfaction were widely investigated and researched in comparison to tangible products. These determinants include service quality determinants such as reliability, access, courtesy, competence, responsiveness, tangibles, credibility, communication, customization, understanding customers‟ needs, and security. Other determinants mentioned in past studies also included past experience, prior knowledge or familiarity, culture, demographic variables such as income, education, household size, children and so forth. Likewise, the studies on consumer susceptibility to interpersonal influence were also well researched but the study directly investigating the relationship between interpersonal influence and customer‟s repurchase intention is still fuzzy. Furthermore, in the literature, past studies that integrated and directly linked product attributes importance, demographic variables and interpersonal influence in explaining repurchase intention was also unclear. Therefore, in view of this argument and to fill in the gap in the literature and add to the body of knowledge in consumer behaviour model and conception, this research attempts to explore specifically amongst others, the relationship among all these variables (product attributes importance, demographic variables, interpersonal influence and repurchase intention) pertaining to consumers decisions to purchase or repurchase selected tangible consumer goods (high and low involvement products). For the purpose of this research the following conceptual framework was developed as depicted in Figure 1 below. The framework of this research was developed based on stochastic models of brand choice and purchase incidence as modified by Jones and Zufryden (1980). Jones and Zufryden‟s model used demographic variables (household income and 126
  • 5. Akir & Othman the number of children in a household) and marketing mix (price dimension) as explanatory variables to predict brand choice or purchase (criterion variable). Jones and Zufryden‟s model was tested using logit model estimation. The explanatory variables were categorical data and the criterion variable was metric data. Jones and Zufryden‟s (1980) modified model was adapted due to its flexibility. It was suggested by the authors who developed the model that, “in terms of its use, the model involves relatively straightforward parameter estimation procedure and one that is adaptable to exploratory model building” (Jones and Zufryden, 1980, p. 332). In other words, the intention of Jones and Zufryden (1980) was to develop a general model which can be used to aid in marketing decision process. Hence, it was also suggested that the model is very flexible in which the explanatory variables can be added and dropped as required by the researchers who wish to replicate or adapt the model. However, in the current research framework, besides household income, number of children and price, additional explanatory variables of product attributes importance such as quality, brand name, product information and interpersonal influence variables were added to the model. In contrast to Jones and Zufryden„s model, the current research framework was tested using standardized multiple regression procedures to determine the linear relationship among all sets of variables used in the research. This was because the data used in the research were metric for both the explanatory/independent variables and the criterion/dependent variable. Explanatory Variables Criterion Variable The Determinants that Influence Consumer‟s Purchase Behaviour Attributes Importance Consumer‟s Purchase  Quality Behaviour  Price  Brand Name Repurchase Intention  Product Information [Low and High Interpersonal Influence Involvement Products]  Normative Influence  Informational Influence Demographic Variables  No. of Children  Household Income Figure 1: The Research Framework Based on the above argument and discussions in the literature, the following general hypotheses and specific hypotheses were developed: General hypotheses: H1: There is a relationship between products‟ attributes importance, demographic variables, interpersonal influence and a consumer‟s repurchase intention. Specific hypotheses: H1a: There is a relationship between quality attribute importance and a consumer‟s repurchase intention. 127
  • 6. Akir & Othman H1b: There is a relationship between price attribute importance and a consumer‟s repurchase intention. H1c: There is a relationship between brand name attribute importance and a consumer‟s repurchase intention. H1d: There is a relationship between product information attribute importance and a consumer‟s repurchase intention. H1e: There is a relationship between normative influence and a consumer‟s repurchase intention. H1f: There is a relationship between informational influence and a consumer‟s repurchase intention. H1g: There is a relationship between a household income and a consumer‟s repurchase intention. H1h: There is a relationship between the number of children in a household and a consumer‟s repurchase intention. 3. Research Methodology This section briefly describes the research design, population and sample size, data collection procedure as well as data analysis procedure. 3.1 Research Design and Sampling Procedure A cross-sectional survey was conducted. A non-probability sampling approach was employed and a quota sampling technique was applied to draw the sample. This approach was employed because the sample frame was not easily available and difficult to draw from and the target population cannot be reached and identified effectively and efficiently by other means of sampling (Clarke, 2006). Kinnear and Taylor (1996) reported that about 86 percent of businesses used quota sampling in business research practice. Further, Kress (1988) contended that samples, if properly selected, are sufficiently accurate in most cases and even when the data has considerable heterogeneity, large samples provide data of sufficient precision to make most decisions (Zikmund, 2000). The target sample for this study was 1000 consumers residing in one of the cities in one of the states in Malaysia. 3.2 Target Population and Sample Size The target population for the research comprised consumers residing in one of the city in East Malaysia. The total population of the city is 422,240, consisting 210,034 male and 212, 205 female (Department of Statistics, Malaysia, 2004, p. 34). Approximately 1000 consumers were targeted and divided proportionately by gender, that is, about 50 percent male and 50 percent female. This composition closely exhibited the population parameter of the chosen city based on statistical report drawn from Department of Statistics, Malaysia (2004). The sample size was considered as adequate, since the minimum sample to determine sample size from a given population is 384 (Krejcie and Morgan, 1970) for every one million population. 128
  • 7. Akir & Othman 3.3 Data Collection Procedure A total of 1000 questionnaires were distributed using mall intercept at six selected retail outlets located at one of the cities in East Malaysia. The retail outlets included supermarkets, small retail stores, departmental stores, specialty stores, hypermarkets, and malls. The selected units of analysis were interviewed personally. If the sample units were unable to complete the questionnaires, they were requested to send them by mail using a paid stamped-self-address envelop provided by the researcher or to return them personally the following day to the interviewers stationed at the selected retail outlets. The interviews were conducted daily from 10.30 a.m to 9.30 p.m for three months from September 2008 to November 2008. The personal interviews took place within these three months and only ended when the minimum targeted size of 500 respondents who fully completed the questionnaires were achieved with at least 50 percent male and 50 percent female composition as had been determined by the researcher in order to meet the quota targeted. The data collected must meet the desired characteristics that had been determined by the researcher. 3.4 Instrument Before the full scale research was carried out, pre-testing was performed to ensure there were no design errors in the questionnaire. Therefore any mistakes and changes could be corrected and improved. The pre-test was administered using 30 consumers as respondents who characterized the intended consumers for the main research. They consisted of part-time students who enrolled for the Bachelor in Business Administration (Honours) (Marketing) (BBA) (M) and Executive Master in Business (EMBA) programmes at one of the public universities located at one of the cities of an East Malaysian state. These respondents were selected at the researcher‟s convenience and they were similar in makeup to the sample of the main research (Zikmund, 2000; Malhotra, 2004). Feedback from the pre-test study indicated that the respondents were comfortable with the questions asked. However, based on the pre-test feedback, a few changes were made to ensure the final respondents in the actual survey understand the questions. At this pre-testing stage, the respondents were also asked to rank order which of the products category given to them that they considered as high involvement products and low involvement products of the six categories chosen, namely: personal computer, fashion clothing, instant noodle, instant coffee and detergent. In order to address the research questions and objectives, a set of structured questionnaire was prepared consisting of four sections, namely section A, B, C and D. Section A captured the consumers‟ general shopping behaviour pattern which addressed questions related to the products category that the consumers bought, why did the consumers buy the products, what were the preferred brand names bought by the consumers, did they prefer foreign brand or local brand, what were the reasons for choosing foreign and local brand, when did they usually buy the products, where did they usually buy the products, how much they spent and how many times they bought the products for the last 12 months, how did they know about the products, which advertisements medium influenced them the most, who influenced their purchasing decisions and what were the 129
  • 8. Akir & Othman products category that they ranked as the most important in their decision making process. Section B which included questions on attributes importance and interpersonal influence consists of 39 items using a 7-point Likert Like Scale anchored with “1” as strongly disagree and “7” as strongly agree. These items included price (7 items), quality (7 items), brand (7 items), product information (6 items) and interpersonal influence (12 items). The items used in section B were adapted from various authors related to the research such as Aliman‟s (2005) product information scales, Lichtenstein, Ridgway and Netemeyer„s (1993) price - quality scales, Sproles and Kendall‟s (1986) consumer decision making styles scales, Bearden, Netemeyer and Teele‟s (1989) 12-items Consumer Susceptibility to Interpersonal Influence scales (CSI), and Blair and Innis‟s (2002) brand dependence scales. Section C captured the questions on the consumer‟s repurchase intention consisting of eight items adapted from Levesque and McDougall„s (1996) repurchase intention scales using a 7-point Likert Like Scale anchored with “1” as strongly disagree and “7” as strongly agree. Please refer to Appendix 1 for the detailed items used in the research. Finally, section D required the respondents to state their personal information regarding their gender, age, income, education, family size, number of children in a household, household size, marital status, religion, employment sectors, occupation, religious orientation, involvement level and a presence of at least one child in a household. Six types of product category selected for the research were personal computer, branded perfume, and fashion clothing which represented the high involvement product category, while detergent, instant noodle, and instant coffee were low involvement products. 3.5 Analysis Procedure The data was analyzed using Statistical Package for Social Sciences (SPSS) version 12.0. Descriptive statistics such as mean and standard deviation were generated to provide an overview of the data. Frequency distribution was used to describe the characteristics of the consumers‟ general shopping behaviour pattern as well as to profile the respondents‟ personal information. The standardized multiple-regression analysis was used to examine the linear relationship between the explanatory/dependent variables (quality, price, brand name, product information, normative influence, informational influence, household income, number of children) and the criterion/dependent variable (repurchase intention). Correlation coefficient test and significant levels were conducted to check the strength of the linear relationships between pairs of variables. The determinant of correlation matrix was generated to provide the information on the multicollinearity. Kaiser‟s criterion (KMO) and Barlett‟s Test of Sphericity was performed as a check to substantiate the appropriateness of conducting a factor analysis and also to examine the sampling adequacy. Cronbach‟s alpha coefficient was conducted to determine the items reliability and internal consistency (Nunally, 1978; Malhotra, 2004). 130
  • 9. Akir & Othman 4. Findings and Discussions 4.1 Respondents’ Profile Out of 1000 respondents interviewed through mall intercept, only 500 sets of the questionnaires were fully completed and useable in the analysis which yielded a response rate of 50 percent. The research findings revealed that 259 (51.8%) of the respondents were female and 241 (48.1%) were male. The research also indicated that 172 (34.4%) of the respondents were aged between 25 to 29 years old, followed by 107 (21.4%) aged between 20 to 24 years old, 87 (17.4%) of the respondents were within the age range of 30 to 34 years old, 51 (10.2%) of them were aged between 35 to 39 years old, 34 (6.8%) were aged between 40 to 44 years old, 22 (4.4%) of them aged below 20 years old, while 13 (2.6%) of them were aged between 45 to 49 years and the other 14 (2.6%) of them were 50 years old and above. In terms of household income, the research indicated that the household monthly income of the respondents were mostly within the range of RM2000 to RM4999 (197 or 39.4%), followed by 129 (24%) between RM5000 to RM6999, 81 (16.2%) below RM1000, 52 (10.4%) between RM7000 to RM8999, 24 (4.8%) between RM9000 to RM9999, and only 26 (5.2%) earned above RM10 000. Most of the respondents, that is, 169 (33.8%) of them had college diploma level of education, followed by a university degree, that is, 143 (28.6%) of them, 108 (21.6%) of them had secondary level of education, five (1%) of them had primary level education, and 18 (3.6%) had other educational level. Essentially, the majority of the respondents, that is, 246 (49.2%) were single, 167 (33.4%) of them were married with children, 80 (16%) of them were married without children, and seven (1.4%) of them were divorced/widowed or single- parents. The majority of the respondents were Christians (248 or 49.6%), 168 (33.6%) of them were Muslims, 67 (13.4%) were Buddhist/Taoist, 11 (2.2%) of them were Hindu and six (0.2%) of them were from other beliefs. Most of the respondents had 3 to 4 children in their household (223 or 44.6%), 145 (29%) had 5 to 6 children, 82 (16.4%) of them had between 1 to 2 children, and 50 (10%) of them had 7 or more children. On average most of the respondents were religious people, that is, 411 (82.2%) of them stating that their strength of religious orientation were between average and strong. While the other 63 (12.6%) of them and another 26 (5.2%) of them stated that their strength of religious orientation were between very strong and very weak, respectively. Please refer to Appendix 2 for the detailed breakdown of the respondents‟ characteristics. 4.2 Respondents’ Shopping Behaviour Pattern In terms of buying decision, the research indicated that a majority of the respondents ranked buying fashion clothing as their most important purchase decision, followed by personal computer, branded perfume, instant noodle, instant coffee, and stated buying detergent as the least important purchase decision. This finding seems to be consistent with past studies that contended any purchase which is used publicly such as fashion clothing (rank 1, mean - 1.72) is considered as an important decision by consumers (Clerk and Belk, 131
  • 10. Akir & Othman 1979). Buying personal computer (Rank 2, mean - 1.88) was also considered as an important decision. This could be due to its expensive price which requires the consumers to search for information and opinion from others. The next important purchase decision is buying branded perfume (rank 3, mean - 2.43), but its usage is invisible to the public as compared to fashion clothing. However, in general, buying low involvement products such as instant noodle, instant coffee and detergent were not considered as an important decision by consumers because these products are bought frequently and do not require considerable effort for information search in the consumer‟s decision making process. In conclusion, the results of the findings were consistently in line with the notion that consumers tend to be more involved when they decide to purchase expensive items and the products that they purchase display social visibility in comparison to purchasing inexpensive, frequently purchased items and if the usage of the product is not publicly visible (Lamb, Hair, and McDaniel, 2001, Kotler, 2003; Blackwell, Miniard, and Engel, 2001; Business World, 2001; Asseal, 1987; Clarke and Belk, 1979). Examples of such products include instant noodle, instant coffee and detergent, which are considered as low involvement products and perfume which is used by consumers but not publicly visible. In relation to brand preference, a majority of the respondents mentioned Acer as the most preferred brand for personal computer/laptop, followed by Dell and Compact. While fashion clothing (designer label) most preferred was Levi‟s followed by Nike, Adidas and Nicole. Calvin Klein was considered as the most preferred brand for branded perfume, followed by Avon, Silky, and Body Shop. Next, Breeze was the most preferred brand for detergent, followed by Daia and Fab. For instant noodle, Maggie was the most preferred brand, followed by Indomee, and Mee Sedap. While for instant coffee, Nescafe was the most preferred brand, followed by Kapal Api and Indocafe. Table 1: Most Important Purchase Decision Ranked According to Products‟ Category No. Products‟ Category Mean Score Rank 1. Fashion Clothing 1.72 1 2. Personal Computer / Laptop 1.88 2 3. Branded Perfume 2.43 3 4. Instant Noodle 4.84 4 5. Instant Coffee 5.03 5 6. Detergent 5.11 6 Note: Most important given rank “1” and least important rank “6” In terms of place, a majority of the respondents stated that they purchased their personal computer at departmental stores, followed by specialty stores, malls, small retail shops and other shops in that order. Most respondents went to departmental stores and malls to purchase their fashion clothing and only a few preferred to go to small retail shops. Similarly, most of the respondents preferred to shop at departmental stores, supermarkets and malls to buy their branded perfume, and only a few of them went to small retailers and other shops. However, for low involvement products such as detergent, instant noodle and instant coffee, most of the respondents stated that they preferred to go to supermarkets to purchase them. 132
  • 11. Akir & Othman For most high involvement products such as personal computer, fashion clothing, and branded perfume, a majority of the respondents preferred to purchase them during special occasion, for example, during sales or promotion periods throughout the year. For low involvement products such as detergent, instant noodle and instant coffee, the respondents preferred to buy them either weekly or monthly. The majority of the respondents, who purchased high involvement products such as personal computer/laptop, fashion clothing, and branded perfume, stated that they preferred foreign brand manufactured in foreign countries. In contrast, for low involvement products such as instant noodle, instant coffee and detergent, a majority of the respondents mentioned that they preferred to buy local brands manufactured domestically. The reason for buying foreign brands for high involvement products like personal computer, fashion clothing and branded perfume is mainly because they believed that foreign brands were of high quality as compared to local brands. In addition these products carry established brand names and are reasonably priced. In contrast, for low involvement products like instant noodle, instant coffee and detergent, most of the respondents stated that they preferred local brands because the price was cheap as compared to foreign brands. On average most of the respondents spent between RM1000 to RM3000 to purchase a personal computer/laptop. This explains the popularity of Acer brand among the respondents because the market price for most Acer brand is around RM2000 to RM3000. For fashion clothing and branded perfume, the majority of the respondents stated that they spent between RM100 to RM200 to buy them. In contrast, for low involvement products such as instant noodle, instant coffee and detergent, most of the respondents spent on average between RM10 to RM21 to purchase them. For high involvement products such as personal computer/laptop and branded perfume, most of the respondents stated that they purchased them only once in the past 12 months. However, for fashion clothing, they purchased them between one to six times in the past 12 months. In contrast, most of the respondents buy instant noodle, instant coffee and detergent more than six times in the past 12 months. The majority of the respondents stated that they bought both category of products (high and low involvement products) mainly for their own use, and only a few of them mentioned that they bought the products as „gift giving‟ and for other purposes. Most of the respondents mentioned that they frequently saw advertisements on personal computer/laptop, fashion clothing, and branded perfume in magazines, brochures/catalogs, TV ads, and newspapers. While advertisements for detergent, instant noodle, and instant coffee were frequently advertised on TV, radio, newspapers, and a few in magazines. The respondents‟ decisions to purchase or not to purchase a personal computer/laptop were influenced by ads found in brochures/catalogs, magazines and newspapers as compared to other medium of advertisements. For fashion clothing and branded perfume, most of the respondents stated that their decisions were influenced by ads found in magazines and brochures/catalogs, and also influenced by TV ads, such as Silky brand for perfume. For most low involvement products, such as instant noodle, instant coffee, and detergent, their decisions were influenced by TV ads as compared to other medium of advertisements. The opinion of significant others (such as family members, friends, spouses, siblings, children, salespersons and the like) that influenced on the decisions of the respondents to purchase or not to purchase a personal computer/laptop were influenced by 133
  • 12. Akir & Othman friends, followed by family members and salespersons. Decisions on fashion clothing and branded perfume were influenced by friends, spouses, family members and salespersons. In contrast, for low involvement products such as instant noodle, instant coffee, and detergent, their decisions were influenced by their spouses, followed by family members and lastly, friends. Please refer to Appendix 3 for the summary of the respondents‟ shopping behaviour pattern. 4.3 Descriptive Statistics, Correlation Coefficients and Significance Level A number of statistical tests were conducted to determine the basic information on mean, standard deviation, and N, which are useful to identify the presence of outliers and the adequacy of sample size. The univariate descriptive statistic was conducted and the results revealed that there was non-existence of outliers with standard deviation for all the sets of variables lay within +3 and -3 range (Zikmund, 2000; Malhotra, 2004). The correlation coefficients and significance level were tested to determine the strength of linear relationships between the pairs of variables. The results showed that all the sets of variables correlated well and the results yielded correlation coefficient between 0.30 and below 0.70 among variables (Pallant, 2007), and had positive significant relationship at 0.01 level (sig.- 1-tailed). This information is important to determine whether variables that are not correlated should be excluded for factor analysis. The determinant of the correlation matrix provided the information on multicollinearity. The presence of highly correlated variables will lead to a problem of multicollinearity. However, a check on Tolerance (TOL) indicates a value of more than 0.10 and the Variance Inflation Factor (VIF) is less than 10 for all the independent variables, which confirms that the possibility of multicollinearity is not detected (Pallant, 2007) - see Table 2 and Table 3 below. 4.4 Standardized Multiple Regression Analysis – Testing the Relationship between Explanatory/Dependent Variables and Criterion/Dependent variable To determine which of the explanatory/dependent variables (quality, price, brand name, product information, household income, number of children and interpersonal influence) included in the model contributed to the prediction of the criterion/dependent variable (repurchase intention), a standardized multiple regression analysis using enter method was conducted for the different products categories used in the research. The detailed results of the tested model are explained and provided in Table 2 and Table 3. Column (i) depicts the product category used in the research and column (ii) shows the sets of explanatory variables/independent variables. Column (iii) shows the beta value which indicates the importance of each explanatory variable in terms of the contribution of each variable in predicting the criterion variable, when the variance explained by all other variables in the model is controlled for. Column (v) shows the significant value of the relationship between the explanatory variables and the criterion variable. This column shows whether or not each of the explanatory variable, is making a statistically significant unique contribution to the equation. Column R-squared shows how much of the variance in the dependent variable is 134
  • 13. Akir & Othman explained by the model. This R-squared is multiplied by 100 and will yield the percentage of the variance. The resulted standardized multiple regression as shown in Table 2, for fashion clothing, beta values in the model showed that quality contributed 0.192, price contributed 0.096, brand name contributed – 0.280, product information contributed 0.208 and household income contributed – 0.082 in explaining the consumers‟ repurchase intention, indicating that these variables made a unique contribution to explaining the dependent variable, when the variance explained by all other variables in the model is controlled for. The other variables, that is, normative influence (beta value -0.048; p-value = -0.933), informational influence (beta value -0.067; p-value = 0.155) and number of children (beta value -0.017; p-value = 0.635) and the relationship between these variables and repurchase intention was not significant, indicating that these variables made less contribution in explaining the repurchase intention. As depicted in the same table (Table 2), the relationship between quality, price, brand name, product information, household income and repurchase intention was significant (p-value for quality = 0.000, p-value for price = 0.001, p-value for brand name = 0.000, p- value for product information = 0.000 and household income p-value = 0.027), indicating that these variables made a unique, statistically significant contribution to the prediction of repurchase intention. The R-squared shows that 59.9% of the variance in the dependent variable is explained by the model. Meanwhile for personal computer, as shown in Table 2, beta values revealed that quality contributed – 0.235, brand name contributed – 0.239, product information contributed – 0.238 and informational influence contributed – 0.239 in explaining repurchase intention and the relationship was significant (quality p-value = 0.000, brand name p-value = 0.000, product information p-value = 0.000 and informational p-value = 0.000), indicating that quality, brand name, product information and informational influence made a unique, and statistically significant contribution to the prediction of repurchase intention. The other variables such as price, normative influence, household income, and number of children made less contribution and did not contribute significantly in explaining repurchase intention. The R-squared shows that 64.1% of the variance is explained by the model. On the other hand, as depicted in Table 2, for branded perfume, beta values showed that brand name contributed 0.301, price contributed 0.153, quality contributed 0.120, and product information contributed 0.119 in explaining repurchase intention. The result also revealed that there was a significant relationship between the independent variables and dependent variable (brand name p-value = 0.000, price p-value = 0.001, quality p-value = 0.004 and product information p-value = 0.027), indicating that these variables made a unique, statistically significant contribution to the prediction of repurchase intention. The other variables such as informational influence, household income and number of children made less contribution and did not statistically have a significant contribution in explaining repurchase intention. The R-squared shows that 55.3% of the variance in the dependent variable is explained by the model. Hence, for high involvement products, the hypotheses H1a, H1b, H1c, H1d, H1f and H1g below were supported for the types of product category as specified in the brackets. 135
  • 14. Akir & Othman H1a: There is a relationship between quality attribute importance and a consumer‟s repurchase intention (fashion clothing, personal computer and branded perfume). H1b: There is a relationship between price attribute importance and a consumer‟s repurchase intention (fashion clothing and branded perfume). H1c: There is a relationship between brand name attribute importance and a consumer‟s repurchase intention (fashion clothing, personal computer and branded perfume). H1d: There is a relationship between product information attribute importance and a consumer‟s repurchase intention (fashion clothing, personal computer and branded perfume). H1f: There is a relationship between informational influence and a consumer‟s repurchase intention (personal computer). H1g: There is a relationship between a household income and a consumer‟s repurchase intention (fashion clothing). However, it was also indicated that the relationship between normative influence, number of children in a household, informational influence, household income and repurchase intention was not significant, indicating that the hypotheses below were not supported for the types of product category being investigated in the research as specified in the brackets. H1e: There is a relationship between normative influence and a consumer‟s repurchase intention (fashion clothing, personal computer and branded perfume). H1h: There is a relationship between a number of children in a household and a consumer‟s repurchase intention (fashion clothing, personal computer and branded perfume). H1f: There is a relationship between informational influence and a consumer‟s repurchase intention (Fashion clothing and branded perfume) As depicted in Table 2, it can be concluded that when a consumer decides to repurchase a high involvement product, they would consider the quality of the product, the price of the product, the brand name of the product, product information and as well as seeking information from others who are significant to them especially when they purchase expensive items, in this case, purchasing a personal computer. The other attributes such as normative influence, income and number of children do not dominantly influence their decision to repurchase. In terms of low involvement products, as depicted in Table 3, beta values showed that quality (beta value –0.165, p-value = 0.002), price (beta value – 0.183, p- value = 0.006), brand name (beta value – 0.293, p-value = 0.000), and number of children (beta vale – 0.096, p-value = 0.011) made a unique, statistically significant contribution to explaining the dependent variable, when the variance explained by all other variables in the model is controlled for. This is particularly true for instant noodle but for instant coffee and detergent only price (beta value – 0.222, 0.272; p-value = 0.001, 0.000) and brand name (beta value – 0.172, 0.340; p-value = 0.001, 0.000) made a unique, statistically significant contribution to the prediction of repurchase intention. The other variables made less contribution and did not statistically significantly contribute to the prediction of repurchase intention. The R-squared showed that 56.5% (instant noodle), 53.6% 136
  • 15. Akir & Othman (instant coffee) and 49.9% (detergent) of the variance were explained by the model. In contrast, for low involvement products, the following hypotheses were supported particularly for instant coffee and detergent except for instant noodle which showed hypotheses H1a and H1h were also supported. The other hypotheses (H1a, H1d, H1e, H1f, H1g and H1h) were not supported (instant coffee and detergent). H1b: There is a relationship between price attribute importance and a consumer‟s repurchase intention (instant coffee and detergent). H1c: There is a relationship between brand name attribute importance and a consumer‟s repurchase intention (instant coffee and detergent). As shown in Table 3, it can be concluded that when a consumer decides to repurchase a low involvement product the most important factors that influence his or her decision are price and brand name, besides quality. In this specific case, other factors such as product information, interpersonal influence, income and number of children did not significantly influence a consumer‟s purchase decision. This finding is found to be inconsistent with Jones and Zufryden (1980) in which demographic variables were reported to significantly contribute to the prediction of brand choice or purchase. This could be due to the limited number of explanatory variables entered in their model equation. 137
  • 16. Akir & Othman Table 2: Standardized Regression Coefficients Model Products Variables Standardized Collinearity Statistics Category Coefficients Beta t-value Sig. Tolerance VIF p-value (i) (ii) (iii) (iv) (v) (vi) (vii) Quality 0.192 4.319 0.000** 0.659 1.517 Fashion Price 0.096 2.170 0.031* 0.670 1.493 clothing Brand Name 0.280 4.873 0.000** 0.396 2.528 Product Information 0.208 4.873 0.000** 0.522 1.918 Normative Influence -0.046 -2.933 -0.933 0.546 1.831 Informative Influence -0.067 -1.421 0.156 0.580 1.724 Household Income 0.082 2.225 0.027* 0.959 1.042 Number of Children 0.017 0.474 0.635 0.989 1.011 R-squared = 0.599 (59.9%) F-value=34.372 Products Variables Standardized Collinearity Statistics Category Coefficients Beta t Sig. Tolerance VIF p-value Personal Quality 0.235 5.126 0.000** 0.569 1.758 Computer Price 0.033 0.712 0.477 0.561 1.784 Brand name 0.239 4.488 0.000** 0.423 2.364 Product Information 0.238 4.680 0.000** 0.463 2.160 Normative Influence 0.056 1.267 0.206 0.635 1.574 Informative Influence 0.239 5.464 0.000** 0.629 1.591 Household Income 0.048 1.381 0.168 0.974 1.027 Number of Children 0.000 0.002 0.999 0.981 1.019 R-squared = 0.641 (64.1%) F-value=42.908 Products Variables Standardized Collinearity Statistics Category Coefficients Beta t Sig. Tolerance VIF p-value Quality 0.120 2.879 0.004* 0.812 1.231 Branded Price 0.153 3.439 0.001* 0.710 1.483 Perfume Brand Name 0.301 5.443 0.000* 0.462 2.166 Product Information 0.119 2.222 0.027* 0.531 1.885 Normative Influence 0.059 1.135 0257 0.552 1.812 Informative Influence 0.056 1.110 0.268 0.678 1.474 Household Income 0.059 1.289 0.198 0.968 1.033 Number of Children 0.043 1.119 0.264 0.958 1.043 R-squared = 0.553 (55.3%) F-value=27.097 *Dependent variable - repurchase intention; ** Significant at <0.01; * Significant at <0.05 138
  • 17. Akir & Othman Table 3: Standardized Regression Coefficients Model Products Variables Standardized Collinearity Statistics Category Coefficients Beta t Sig. Tolerance VIF p-value (i) (ii) (iii) (iv) Quality 0.165 3.115 0.002* 0.495 2.022 Instant Noodle Price 0.183 2.740 0.006* 0.311 3.216 Brand Name 0.293 4.906 0.000** 0.388 2.578 Product Information -0.014 -0.261 0.794 0.489 2.045 Normative Influence -0.081 -1.287 0.199 0.353 2.835 Informative Influence 0.077 1.179 0.239 0.326 3.072 Household Income 0.051 1.359 0.175 0.970 1.031 Number of Children 0.96 2.554 0.011* 0.982 1.018 R-squared = 0.565 (56.5%) F-Value=28.854 Products Variables Standardized Collinearity Statistics Category Coefficients Beta t Sig. Tolerance VIF p-value Quality 0.066 1.168 0.243 0.458 2.183 Price 0.222 3.321 0.001** 0.325 3.076 Instant Coffee Brand Name 0.272 4.334 0.000** 0.368 2.720 Product Information 0.040 0.732 0.465 0.487 2.054 Normative Influence -0.099 -1.462 0.145 0.316 3.168 Informative Influence 0.082 1.232 0.218 0.329 3.041 Household Income 0.041 1.074 0.283 0.981 1.019 Number of Children 0.050 1.304 0.193 0.988 1.013 R-squared = 0.536 (53.6%) F-value=24.699 Products Variables Standardized Collinearity Statistics Category Coefficients Beta t Sig. Tolerance VIF p-value Quality 0.076 1.751 0.081 0.804 1.243 Price 0.172 3.749 0.000** 0.730 1.371 Detergent Brand Name 0.340 6.461 0.000** 0.552 1.810 Product Information 0.019 0.390 0.697 0.638 1.567 Normative Influence -0.084 -1.541 0.24 0.517 1.934 Informative Influence -0.010 -1.176 0.860 0.465 2.151 Household Income 0.008 0.194 0.846 0.969 1.031 Number of Children 0.012 0.300 0.765 0.967 1.034 R-squared = 0.499 (49.9%) F-value=20.383 *Dependent variable - repurchase intention; ** Significant at <0.01; * Significant at <0.05 In conclusion, since F-values are well above 1 and at least one of the independent variables is significantly related to dependent variables, hence the model can be considered as valid (Hair, Anderson, Tatham, and Black, 1995; Hair, Black, Babin, Anderson and Tatham, 2006; Pallant, 2007). In addition, inter- item consistency reliability test (Cronbach‟s alpha coefficient) was performed to identify the consistency of the respondents‟ answers to all the research items. The result reveals high reliability scores among all factors with Cronbach‟s alpha coefficient well above the recommended threshold of 0.70 and 0.80 (Nunally, 1978; Malhotra, 2004) - Please refer to Appendix 4. Principal component factor analysis was conducted and the overall measure of sampling adequacy for the set variables included in the analysis for each product category met the Kaiser‟s criterion (KMO) and all the sets of variables exceeded the minimum requirement of 0.50 and significant Barlett‟s Test of Sphericity was revealed (see Appendix 5). 5. Summary and Conclusions Essentially, the research indicated that the majority of the consumers who patronize the departmental stores, supermarkets, malls and hypermarkets were young executives, single people with an income between RM2000 to RM4999. 139
  • 18. Akir & Othman The findings of the research also suggested that consumers were consistently brand conscious and preferred to buy established brands especially for expensive products, for example, personal computer and branded perfume and also if the product that they bought was highly visible and displayed status connotation such as fashion clothing (Asseal, 1987; Sheth and Mittal, 2004). Similarly, besides price, consumers also considered brand name as one of the driving forces in their decision to purchase or repurchase a product even if the products that they purchased were inexpensive items such as instant noodle, instant coffee and detergent. Interestingly, when the consumers decided to repurchase certain products, regardless of whether those products were categorized as low or high involvement products, normative and informational influence did not greatly influence their repurchase decision except for personal computer in which informational influence strongly influenced the consumers repurchase decision. This scenario could be due to the consumer‟s prior product knowledge or past experiences with the products and these two factors were not considered in the objective of this research. It was also indicated that consumers emphasized more on product information and acquired information from others for high involvement products particularly personal computer as well as perfume which they thought might contain substances that are prohibited by their religious beliefs. This could be due to the fact that the consumers in the research were generally religious people, especially Muslims who are very sensitive to the issue of “halal” products and as such they would like to know the contents of the products either through their own experiences or by getting the information from others whom they admire or trust. The findings of this research supported the notion that consumer behavioural theories may be applicable globally but consumers‟ tastes, preferences and purchase decisions could be regionally or locally oriented and further influenced by their cultural background and norms (Schutte and Ciarlante, 1998). In addition, consumers tend to be quality conscious specifically for high involvement products and price sensitive when it concerns low involvement products. They would prefer to buy low involvement products which are locally manufactured. In contrast, they would prefer foreign products when they decided to buy high involvement products because they believed that products such as personal computer, fashion clothing and branded perfume, besides established brand names, are also of high quality as compared to locally made products. The results of this research suggested that the forces that motivate consumers‟ intention to repurchase were driven by established brand names, quality, product information and informational influence from significant others such as friends, spouses, and family members, particularly for high involvement products (personal computer). For low involvement products (such as instant noodle and instant coffee) consumer repurchase intention were mainly driven by the quality and the price of the products, besides conforming to spouses‟ choices. It was also noted that consumers tend to purchase high involvement products mostly during sales promotion and their purchase decision was partly influenced by advertisements in magazines, catalogs and brochures. On the other hand, the consumers‟ decision to purchase low involvement products was mainly influenced by TV advertisements. 140
  • 19. Akir & Othman The findings of this research implied that, regardless of whether the products that the consumers purchase are low involvement products or high involvement products, prior concerns of the businesses and managers or marketers are: (1) consumers‟ involvement in the purchase process; (2) the importance that they place on certain product attributes; and (3) how significantly others influence their decision making process prior to the purchase, after the purchase is completed and the post-purchase behaviour. Hence, this research is beneficial to managers and marketers to streamline their marketing plans and strategies, in order to capture the mind and heart of the consumers at large. As such, it is imperative for marketers and managers to understand consumer behaviour beyond the marketing stimuli but at the same time should also consider the consumers‟ cultural diversity, customs and norms. Nonetheless, there is an indication that this research supports the general conception that consumers pay less attention to price if: (1) other alternatives such as brand names, quality and other more influential attributes are available (Dodds and Monroe, 1989; Dodds, Monroe, and Grewal, 1991); and (2) they consider the importance of seeking others‟ opinion in their choice decision. In conclusion, the findings of this research has potential input to management and marketing decision process as well as contribute to the body of knowledge in terms of exploratory model building, methodology application, consumer behaviour and marketing management fields. References Aaker, J.L 1997, „Dimensions of brand personality‟, Journal of Marketing Research, Vol. 34 (3), pp. 347-356. Aggarwal, P 2003, „The effects of brand relationship norms on consumer research‟, Journal of Consumer Research, Vol. 31 (1), pp. 87-101. Assael, H 1987, Consumer Behavior and Marketing Action, Third Edition, Kent Publishing Company, Boston, Massachusetts. Al-Hawari, M and Ward, T 2006, „The effect of automated service quality on Australian bank‟s financial performance and the mediating role of customer satisfaction‟, Marketing Intelligence & Planning, Vol. 24 (2), pp. 127-147, Emerald Group Publishing Limited 0263-4503. Aliman, K 2005, Consumer brand choice, Unpublished Ph. D. Thesis, Faculty of Business and Accountancy, University of Malaya, Kuala Lumpur. Alreck, PL and Settle, RB 1999, „Strategies for building consumer brand Preference‟, Journal of Product & Brand Management, Vol. 8 (2), pp. 130- 144. Andaleeb, SS and Conway, C 2006, „Customer satisfaction in the restaurant industry: an examination of the transaction-specific model‟, Journal of Services Marketing, Vol. 20 (1), pp. 3-11, Emerald Group Publishing Limited ISSN 0857-6045. Attaman, B and Ulengin, B 2003, „A note on the effect of brand image on sales‟, Journal of Product & Brand Management, Vol. 12 (4), pp. 237-250. Avery, RJ 1996, „Determinants of search for non-durables goods: an empirical assessment of the economics of information theory‟, The Journal of Consumer Affairs, Vol. 30 (2), pp. 390-420. Baker, W, Hutchinson, JW, Moore, D and Nedungadi, P 2004, „Brand 141
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