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Invention Journal of Research Technology in Engineering & Management (IJRTEM)
ISSN: 2455-3689
www.ijrtem.com Volume 2 Issue 5 ǁ May 2018 ǁ PP 22-28
|Volume 2| Issue 5 | www.ijrtem.com | 22 |
Determinants of Leisure Shopping Behaviour: An Empirical
study among Consumers of Organized Retail Formats in Kerala
1,
Naibi Kurian, 2,
S Ganesan, 3,
Sreejith S
1
Research Scholar, Bharathiar University, Coimbatore, India
2
Firebird Institute of Research in Management, Coimbatore, India
3
School of Legal Studies, Cochin University of Science and Technology, Cochin, India
ABSTRACT: Shopping is widely regarded as a major leisure time activity. The entertainment aspect of retail
industry is increasingly being recognized as a key competitive instrument in the present situation. Therefore,
retailers and shopping Centre developers are seeking ways to make shopping more of a leisure pursuit. The
purpose of this research is to explore the dimensions of leisure shopping behaviour associated with shoppers of
organized retail outlets in Kerala. The paper also figured-out the inter relationship between the shopping
entertainment with consumer demographics. The findings of this study may help retailers in developing
appropriate strategies to improve the store patronage behaviour by elevating the hedonic shopping value and
shopping enjoyment index among consumers.
KEYWORDS: leisure shopping behaviour, hedonic shopping value, organized retail sector, factor analysis
I. INTRODUCTION
The Indian retail sector is highly fragmented with an estimated 12 to 15 million outlets. Its overall size is estimated
to be US$ 672 billion in 2017, with a CAGR of 15% over the past 5 years, which is much higher than the growth
of the Indian GDP in the same period and is expected to reach US$ 1.1 trillion in 2020 (Ernst and Young Report,
2017). The Indian retail sector is dominated largely by the unorganized sector. Traditionally retailing was focused
more on the basic necessities rather than luxury (Sengupta, 2008). In terms of retail institutions, it was mainly
mom-and-pop stores (Kirana stores) run by individuals and the wet markets or bazaars. All these stores were
having counter-service; self-service was not a feasible option. Even in the early sixties, it was reported that ‘there
is not a single supermarket in all of India’ (Westfall and Boyd, 1960).
The share of organized retail sector in India is only 7% of the total retail industry, which is very low compared
with that in other countries, such as the US (85 per cent) and is growing at a CAGR of 20-25 per cent per year
(Deloitte Report, 2017). This indicates strong growth potential for organised retail in India. With the evolution of
retail modernization and rapid changes in the buying behaviour of consumers, there remains a need among Indian
businesses to understand the changing behaviour of consumers towards shopping in these organized retail outlets.
Also, it is necessary for retailers to be aware of shoppers’ motivations and to understand ways of attracting the
consumers (Sinha and Banerjee, 2004).
Retailers are looking for opportunities to create shopping as leisure activity, because consumers are engaging with
more on leisure. Retailers face fierce competition to capture their customers and their spending too. Defining
leisure is a broad concept. Simply differentiating leisure and work or considering it same as to recreation that can
be termed as any experience satisfying virtually (Torkildsen, 1992). Lewis and Bridger (2000) indicate an
increasing trend of time pressure on customers, or more precisely a growing group of those who feel time
pressured and who tend to be more affluent others. Schiller (1999) argue that “mainstream retailing” that
consisting of routinely and regularly purchased goods, is increasingly being put under a time squeeze, partly
because of longer working hours and higher female participation rates in the labour market, and partly because
holidays and other leisure activities are taking an increasing share of consumers’ time and money. He describes,
“Leisure shopping” as the mirror image of mainstream retailing where the outing is not so much a means to an
end as the whole point, and shopping is only part of the experience.
II. BACKGROUND OF THE STUDY
There are many types of shopping behaviours and shopper types (Dholakia, 1999). Broadly, shoppers are divided
into two categories based on their objectives which are markedly different. Utilitarian shoppers are those
according to whom shopping is a form of work or a task which is to be accomplished (Babin et al., 1994; Batra
and Athol, 1991), until they make a purchase. The other category constitutes of hedonistic shoppers who give
importance to enjoyment and excitement they experience during the shopping trip.
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 23 |
These kinds of shoppers consider shopping as a leisure activity and derive pleasure from it, along with the purchase
of products (Rook, 1987). Previous researches have also stated that majority of shoppers combine both utilitarian
and experiential values during their shopping activities (Nicholls et al., 2000) (Nichols et al., 2002). According to
Babin et al. (1994), developed market economies have consumers with high levels of hedonic shopping values;
however, these values are less noticeable in less developed countries (Millan and Howard, 2007).
Statement of the Problem: Shopping has become one of the most common leisure activities in today’s world
and leisure shopping is mostly related with high street shops and shopping malls (shopping for leisure, 2008).
Elizabeth Howard (2007) confirms leisure shopping is not best conceptualized as part of a continuum from
purposive to leisure oriented. Leisure shopping is a recent strategy of retailers and innovative concern; it is a
course of action making individuals experience the ‘joy of shopping’. It is argued that leisure shopping needs to
be acknowledged as a multifaceted activity that may be performed in various ways and embody different types of
consumer meanings. It is also argued that there is a need to focus more on the influence of retail environments on
individuals engaged in leisure shopping (Backstrom, 2006). Consumers may also experience and pursue leisure
shopping in different ways on different occasions. It has been argued that high levels of hedonic shopping value
might be more pronounced in developed market economies, and less noticeable in less developed economies
(Babin, B.J., Darden, W.R., Griffin, M., 1994). Till date, there has been very limited research on the shopping
habits of consumers in the less developed economies of the world, India being one of them. Here the researcher
attempts to fill these gaps, thereby investigating the leisure shopping behaviour of the Indian consumers. So it is
very essential for exploring the consumer behaviour associated with leisure shopping behaviour in Kerala, since
Kerala is a state which experiences the increase in middle class disposable income because of foreign remittance
and various other factors.
III. OBJECTIVES OF THE STUDY
a. To analyse the determinants of leisure shopping behaviour among shoppers of organized retail formats
in Kerala
b. To evaluate the impact of shopper profile on leisure shopping behaviour
Research Methodology: Descriptive research design is used for carrying out the study. This study describes
consumer attitude and shopping habits while shopping at organized retail stores and shopping malls in Kerala.
This study is focused to trace down the factors which are influencing the hedonic shopping behavior and its
impacts on consumer demographics. The geographic focus of the study will be Kerala and the population may be
defined as people shopping from organized retail outlets. Both primary and secondary data will be using in this
study. The scope of World Wide Web for collecting data may be exploited. Secondary data may be explored from
the available source of secondary literature. Primary data will be collect from the respondents, using a pre-tested
questionnaire. The population may be defined as those people, shopping from organized retail outlets in Kerala.
The data was collected at organized retail stores across five selected cities in Kerala state. These outlets belong to
retail format category of convenience stores, supermarkets and hypermarkets. A total of 72 valid responses were
obtained from the survey.
IV. RESULTS
Profile of respondents: Demographic profile of the respondents based on their gender, marital status, number of
family members and monthly household income were considered in this study. The table furnished below shows
the summary of the respondent’s profile. A total of 72 valid responses obtained from the survey conducted at 15
retail stores across the five cities of Kerala. Out of these, 22% were male respondents and 78% female. 72% of
the respondents participated in this survey were married, 17% were unmarried and 11% were widowed/ separated.
For 8% of the respondents participated in this survey, the number of family members in their family were 2, for
22% it is 3, for 31% of respondents had 4 family members at their residence and for 39% it is more than 4. 42%
of the respondents had less than INR 60,000 monthly family income. About 14% of the respondents had a family
income of more than INR 200,000. The profile of the respondents is summarised in Table 1.
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 24 |
Table 1: Profile of Respondents
Gender
Frequency Percent Valid Percent Cumulative Percent
Valid
Male 16 22.2 22.2 22.2
Female 56 77.8 77.8 100.0
Total 72 100.0 100.0
Marital Status
Frequency Percent Valid Percent Cumulative Percent
Valid
Married 52 72.2 72.2 72.2
Unmarried 12 16.7 16.7 88.9
Widowed/ Separated 8 11.1 11.1 100.0
Total 72 100.0 100.0
Number of Family Members
Frequency Percent Valid Percent Cumulative Percent
Valid
Up to 2 members 6 8.3 8.3 8.3
Three 16 22.2 22.2 30.6
Four 22 30.6 30.6 61.1
More than four 28 38.9 38.9 100.0
Total 72 100.0 100.0
Monthly Household Income
Frequency Percent Valid Percent Cumulative Percent
Valid
Less than 60,000 30 41.7 41.7 41.7
60,0000 - 100,000 20 27.8 27.8 69.4
100,000 - 200,000 12 16.7 16.7 86.1
More than 200,000 10 13.9 13.9 100.0
Total 72 100.0 100.0
Source: Survey Data
Determinants of Leisure Shopping Behaviour: Factor analysis output generated extracted only those factors
which had the Eigen values greater than 1. Factors were labelled on the basis of their salient loadings. The list of
extracted factors is given in the below tables.
Table 2: Factor Analysis
Component Initial Eigenvalues Extraction Sums of Squared
Loadings
Rotation Sums of Squared Loadings
Total % of
Variance
Cumulative
%
Total % of
Variance
Cumulative
%
Total % of
Variance
Cumulative
%
1 2.693 44.887 44.887 2.693 44.887 44.887 2.151 35.849 35.849
2 1.375 22.915 67.803 1.375 22.915 67.803 1.917 31.954 67.803
3 .982 16.359 84.162
4 .558 9.296 93.457
5 .255 4.249 97.706
6 .138 2.294 100.000
Extraction Method: Principal Component Analysis.
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 25 |
Table 3: Component Matrix
Component
1 2
I enjoy shopping more than most people do .868 .228
Shopping is entertaining to me .790 -.542
I love to go shopping when I can find time .740 .443
Shopping is a good way for me to relax .732 -.590
Shopping is not a way I like to spend my leisure time .372 .574
Shopping is a waste of time .306 .393
Extraction Method: Principal Component Analysis.
a. 2 components extracted.
Table 4: Rotated Component Matrix
Component
1 2
Shopping is entertaining to me .954
Shopping is a good way for me to relax .940
I love to go shopping when I can find time .814
I enjoy shopping more than most people do .732
Shopping is not a way I like to spend my leisure time .679
Shopping is a waste of time .498
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
The dimensions of leisure shopping behaviour among shoppers are classified
into two on the strength of factor analysis.
Hedonic Shopping Value: The factor with maximum variance of 44.887% of total variance with Eigen value of
2.693 was named as ‘Hedonic Shopping Value’. Four variables had high factor loading on this factor. Hedonistic
shoppers who give importance to enjoyment and excitement they experience during the shopping trip. Therefore,
an elevated hedonic value provides more fun & enjoyment. These kinds of shoppers consider shopping as a leisure
activity and derive pleasure from it, along with the purchase of products. Hedonic value is more subjective and
personal and results more from fun and playfulness than from task completion
Shopping Enjoyment: The factor with maximum variance of 22.915% of total variance with Eigen value of
1.375 was named as ‘Shopping Enjoyment’. Two variables had high factor loading on this factor.
Shopping enjoyment can be viewed as the pleasure that a consumer derives from the shopping process/activities.
It has been determined that consumers who enjoy shopping spend more time per trip, which can cause higher
spending.
Hedonic Shopping Value Vs. Shopping Enjoyment: The mean ranks for the two dimensions of leisure shopping
behaviour, hedonic shopping value and shopping enjoyment, are summarised in the following table.
Table 5: Ranks – Leisure Shopping Behaviour
Shopper N Mean Rank
Leisure Shopping Behaviour
Shopping Enjoyment 72 71.92
Hedonic Shopping Value 72 73.08
Total 144
The mean rank for hedonic shopping value (73.08) is higher than that of shopping enjoyment (71.92). This
difference is statistically analysed using Independent-Samples Mann-Whitney U Test.
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 26 |
Table 6: Hypothesis Test Summary
Null Hypothesis Test Sig. Decision
1
The distribution of Leisure
Shopping Behaviour is the same
across categories of Shopper.
Independent-Samples
Mann-Whitney U Test
.867
Retain the null
hypothesis.
Asymptotic significances are displayed. The significance level is .05.
From the above table, it is evident that there is no significant difference in the mean ranks of the two dimensions
of leisure shopping behaviour. The null hypothesis retained with significance level, P > 0.05.
Impact of leisure shopping behaviour on shopper demographics: The leisure shopping behaviour among
different shopper categories were statistically analysed using Independent-Samples Kruskal-Wallis Test and
Independent-Samples Mann-Whitney U Test
Hedonic Shopping Value among Shopper Categories: The gender, marital status, number of family members
and monthly household income of the respondents were the four grouping variables for the test. The hedonic
shopping value was tested statistically using Independent-Samples Kruskal-Wallis Test.
It is proven that, there is not much difference in the hedonic shopping value among shopper demographics.
Shopping Enjoyment among Shopper Categories: The shopping enjoyment among different shopper
demographics were tested statistically using Independent-Samples Kruskal-Wallis Test. The result shows that
there is not much differences in shopping enjoyment in gender and house hold income. But for ‘marital status’
and ‘number of family members’ categories, the shopping enjoyment differs according to respondent
demographics and discussed in the following session.
Marital Status: The following table describes the mean rank of shopping enjoyment according to the marital
status of respondents. The category ‘Widowed/ Separated’ has the highest mean rank of 48.50, followed by
‘Unmarried category’ with 46.67. ‘Married’ people has the lowest mean shopping enjoyment score of 32.31.
Table 7: Shopping enjoyment
Marital Status N Mean Rank
Shopping Enjoyment
Married 52 32.31
Unmarried 12 46.67
Widowed/ Separated 8 48.50
Total 72
The differences in the mean ranks of the respondents were tested for statistical evidence and the summery is
shown in the below table.
Table 8: Hypothesis Test Summary
Null Hypothesis Test Sig. Decision
1
The distribution of Shopping
Enjoyment is the same across
categories of Marital Status.
Independent-Samples
Kruskal-Wallis Test
.022
Reject the null
hypothesis.
Asymptotic significances are displayed. The significance level is .05.
The difference in the shopping enjoyment had proven statistically for the shopper marital status. The shopping
enjoyment is highest for ‘widowed/ separated’ shoppers followed by ‘unmarried’ shoppers. The ‘married’
consumers have the lowest shopping enjoyment.
Number of Family Members: The following table describes the mean rank of shopping enjoyment for each
respondent groups. The highest score of 57.50 is for respondents had only two members in their family, followed
by respondents with four members and the rank is 38.59. The shopping enjoyment is least for respondents having
three members in their family with a score of 31.88
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 27 |
The differences in the mean ranks of respondent groups were tested for statistical evidence using Independent-
Samples Kruskal-Wallis.
Table 10: Hypothesis Test Summary
Null Hypothesis Test Sig. Decision
1
The distribution of Shopping
Enjoyment is the same across
categories of No. of Family
Members.
Independent-
Samples Kruskal-
Wallis Test
.048
Reject the null
hypothesis.
Asymptotic significances are displayed. The significance level is .05.
The above table clearly shows that there are statistically significant differences among the shoppers according to
their family size for shopping enjoyment at 95% confidence level. That is the shopping enjoyment is the highest
for shoppers having only two members in their respective family followed by shoppers having four members at
home. The shopping enjoyment is the lowest for families with three members.
V. MAJOR FINDINGS
The study found that leisure shopping behaviour among the organized retail outlet shoppers have two dimensions
namely, hedonic shopping value and shopping enjoyment. The shopping enjoyment differs with ‘marital status’
and ‘household size’ of the shoppers. The shoppers with ‘two or less members’ in their family enjoys their
shopping trips at organized retail formats more than that of other categories. Similarly ‘widowed/ separated’
shoppers’ shopping enjoyment is the highest, followed by ‘unmarried’ consumers. But the hedonic shopping
value according to shopper demographics is similar in nature.
VI. CONCLUSION
This paper explores the factors influencing on consumers’ leisure shopping behaviour in organized retail outlets
and shopping malls. It has been found that the demographic variables of shopper have some influence on the
leisure shopping behaviour. Given the results, marketing experts should pay attention to the role of personal
characteristics and demographics when formulating the communication messages. Further research on shopping
enjoyment and hedonic shopping value could focus on enriching the existing demographic dimensions with some
additional personal, cultural, socio-economical and/or situational (categories of) factors.
REFERENCES
1. Ann Marie Fiore, Jihyun Kim, 2007. An integrative framework capturing experiential and utilitarian
shopping experience. International Journal of Retail & Distribution Management.
2. Anon., 2007. An integrative framework capturing experiential and utilitarian.
3. Anthony, K., 1985. The shopping mall: A Teenage Hangout.
4. Arnold, M.J., Reynolds, K.E., 2003. Hedonic shopping motivations. Journal of Retailing.
5. Backstrom, K., 2011. Shopping as leisure: An exploration of manifoldness and dynamics in consumers
shopping experiences. Journal of Retailing and Consumer Services.
6. Ballenger, D.N., Korgaonkar, P.K., 1980. Profiling the recreational shopper. Journal of Retailing.
7. Bellenger, D.N., Robertson, D.H., Greenberg, B.A., 1977. Shopping center patronage motives. Journal of
Retailing.
8. Howard, E. S. E., 2007. Shopping for pleasure? Shopping experience of Hungarian consumers.
International Journal of Retail & Distribution Management.
Table 9: Shopping enjoyment
No. of Family Members N Mean Rank
Shopping Enjoyment
Upto 2 members 6 57.50
Three 16 31.88
Four 22 38.59
More than four 28 33.00
Total 72
Determinants of Leisure Shopping Behaviour: An Empirical…
|Volume 2| Issue 5 | www.ijrtem.com | 28 |
9. Rajagopal, 2007. Leisure Shopping Behaviour and Recreational Retailing: A Symbiotic Analysis of
Marketplace Strategy and Consumer Response. Journal of Hospitality & Leisure Marketing.
10. Seth, J., 1983. An integrative theory of patronage preference and behaviour.
11. Victoria Rosanna Ragel, Saranya Ariyanayagam, 2014. Leisure Shopping in the Supermarket Setup: A
Behavioural Study. The IUP Journal of Marketing Management.
12. Wakefield, Kirk L., & Baker, Julie. , 1998. Excitement at the mall: Determinants and effects on shopping
response. Journal of Retailing.
Naibi Kurian, et al. “Determinants of Leisure Shopping Behaviour: An Empirical Study among
Consumers of Organized Retail Formats in Kerala.” Invention Journal of Research Technology
in Engineering & Management (IJRTEM), vol. 2, no. 5, 20 May 2018, pp. 22–28.,
www.ijrtem.com.

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Determinants of Leisure Shopping Behaviour: An Empirical study among Consumers of Organized Retail Formats in Kerala

  • 1. Invention Journal of Research Technology in Engineering & Management (IJRTEM) ISSN: 2455-3689 www.ijrtem.com Volume 2 Issue 5 ǁ May 2018 ǁ PP 22-28 |Volume 2| Issue 5 | www.ijrtem.com | 22 | Determinants of Leisure Shopping Behaviour: An Empirical study among Consumers of Organized Retail Formats in Kerala 1, Naibi Kurian, 2, S Ganesan, 3, Sreejith S 1 Research Scholar, Bharathiar University, Coimbatore, India 2 Firebird Institute of Research in Management, Coimbatore, India 3 School of Legal Studies, Cochin University of Science and Technology, Cochin, India ABSTRACT: Shopping is widely regarded as a major leisure time activity. The entertainment aspect of retail industry is increasingly being recognized as a key competitive instrument in the present situation. Therefore, retailers and shopping Centre developers are seeking ways to make shopping more of a leisure pursuit. The purpose of this research is to explore the dimensions of leisure shopping behaviour associated with shoppers of organized retail outlets in Kerala. The paper also figured-out the inter relationship between the shopping entertainment with consumer demographics. The findings of this study may help retailers in developing appropriate strategies to improve the store patronage behaviour by elevating the hedonic shopping value and shopping enjoyment index among consumers. KEYWORDS: leisure shopping behaviour, hedonic shopping value, organized retail sector, factor analysis I. INTRODUCTION The Indian retail sector is highly fragmented with an estimated 12 to 15 million outlets. Its overall size is estimated to be US$ 672 billion in 2017, with a CAGR of 15% over the past 5 years, which is much higher than the growth of the Indian GDP in the same period and is expected to reach US$ 1.1 trillion in 2020 (Ernst and Young Report, 2017). The Indian retail sector is dominated largely by the unorganized sector. Traditionally retailing was focused more on the basic necessities rather than luxury (Sengupta, 2008). In terms of retail institutions, it was mainly mom-and-pop stores (Kirana stores) run by individuals and the wet markets or bazaars. All these stores were having counter-service; self-service was not a feasible option. Even in the early sixties, it was reported that ‘there is not a single supermarket in all of India’ (Westfall and Boyd, 1960). The share of organized retail sector in India is only 7% of the total retail industry, which is very low compared with that in other countries, such as the US (85 per cent) and is growing at a CAGR of 20-25 per cent per year (Deloitte Report, 2017). This indicates strong growth potential for organised retail in India. With the evolution of retail modernization and rapid changes in the buying behaviour of consumers, there remains a need among Indian businesses to understand the changing behaviour of consumers towards shopping in these organized retail outlets. Also, it is necessary for retailers to be aware of shoppers’ motivations and to understand ways of attracting the consumers (Sinha and Banerjee, 2004). Retailers are looking for opportunities to create shopping as leisure activity, because consumers are engaging with more on leisure. Retailers face fierce competition to capture their customers and their spending too. Defining leisure is a broad concept. Simply differentiating leisure and work or considering it same as to recreation that can be termed as any experience satisfying virtually (Torkildsen, 1992). Lewis and Bridger (2000) indicate an increasing trend of time pressure on customers, or more precisely a growing group of those who feel time pressured and who tend to be more affluent others. Schiller (1999) argue that “mainstream retailing” that consisting of routinely and regularly purchased goods, is increasingly being put under a time squeeze, partly because of longer working hours and higher female participation rates in the labour market, and partly because holidays and other leisure activities are taking an increasing share of consumers’ time and money. He describes, “Leisure shopping” as the mirror image of mainstream retailing where the outing is not so much a means to an end as the whole point, and shopping is only part of the experience. II. BACKGROUND OF THE STUDY There are many types of shopping behaviours and shopper types (Dholakia, 1999). Broadly, shoppers are divided into two categories based on their objectives which are markedly different. Utilitarian shoppers are those according to whom shopping is a form of work or a task which is to be accomplished (Babin et al., 1994; Batra and Athol, 1991), until they make a purchase. The other category constitutes of hedonistic shoppers who give importance to enjoyment and excitement they experience during the shopping trip.
  • 2. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 23 | These kinds of shoppers consider shopping as a leisure activity and derive pleasure from it, along with the purchase of products (Rook, 1987). Previous researches have also stated that majority of shoppers combine both utilitarian and experiential values during their shopping activities (Nicholls et al., 2000) (Nichols et al., 2002). According to Babin et al. (1994), developed market economies have consumers with high levels of hedonic shopping values; however, these values are less noticeable in less developed countries (Millan and Howard, 2007). Statement of the Problem: Shopping has become one of the most common leisure activities in today’s world and leisure shopping is mostly related with high street shops and shopping malls (shopping for leisure, 2008). Elizabeth Howard (2007) confirms leisure shopping is not best conceptualized as part of a continuum from purposive to leisure oriented. Leisure shopping is a recent strategy of retailers and innovative concern; it is a course of action making individuals experience the ‘joy of shopping’. It is argued that leisure shopping needs to be acknowledged as a multifaceted activity that may be performed in various ways and embody different types of consumer meanings. It is also argued that there is a need to focus more on the influence of retail environments on individuals engaged in leisure shopping (Backstrom, 2006). Consumers may also experience and pursue leisure shopping in different ways on different occasions. It has been argued that high levels of hedonic shopping value might be more pronounced in developed market economies, and less noticeable in less developed economies (Babin, B.J., Darden, W.R., Griffin, M., 1994). Till date, there has been very limited research on the shopping habits of consumers in the less developed economies of the world, India being one of them. Here the researcher attempts to fill these gaps, thereby investigating the leisure shopping behaviour of the Indian consumers. So it is very essential for exploring the consumer behaviour associated with leisure shopping behaviour in Kerala, since Kerala is a state which experiences the increase in middle class disposable income because of foreign remittance and various other factors. III. OBJECTIVES OF THE STUDY a. To analyse the determinants of leisure shopping behaviour among shoppers of organized retail formats in Kerala b. To evaluate the impact of shopper profile on leisure shopping behaviour Research Methodology: Descriptive research design is used for carrying out the study. This study describes consumer attitude and shopping habits while shopping at organized retail stores and shopping malls in Kerala. This study is focused to trace down the factors which are influencing the hedonic shopping behavior and its impacts on consumer demographics. The geographic focus of the study will be Kerala and the population may be defined as people shopping from organized retail outlets. Both primary and secondary data will be using in this study. The scope of World Wide Web for collecting data may be exploited. Secondary data may be explored from the available source of secondary literature. Primary data will be collect from the respondents, using a pre-tested questionnaire. The population may be defined as those people, shopping from organized retail outlets in Kerala. The data was collected at organized retail stores across five selected cities in Kerala state. These outlets belong to retail format category of convenience stores, supermarkets and hypermarkets. A total of 72 valid responses were obtained from the survey. IV. RESULTS Profile of respondents: Demographic profile of the respondents based on their gender, marital status, number of family members and monthly household income were considered in this study. The table furnished below shows the summary of the respondent’s profile. A total of 72 valid responses obtained from the survey conducted at 15 retail stores across the five cities of Kerala. Out of these, 22% were male respondents and 78% female. 72% of the respondents participated in this survey were married, 17% were unmarried and 11% were widowed/ separated. For 8% of the respondents participated in this survey, the number of family members in their family were 2, for 22% it is 3, for 31% of respondents had 4 family members at their residence and for 39% it is more than 4. 42% of the respondents had less than INR 60,000 monthly family income. About 14% of the respondents had a family income of more than INR 200,000. The profile of the respondents is summarised in Table 1.
  • 3. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 24 | Table 1: Profile of Respondents Gender Frequency Percent Valid Percent Cumulative Percent Valid Male 16 22.2 22.2 22.2 Female 56 77.8 77.8 100.0 Total 72 100.0 100.0 Marital Status Frequency Percent Valid Percent Cumulative Percent Valid Married 52 72.2 72.2 72.2 Unmarried 12 16.7 16.7 88.9 Widowed/ Separated 8 11.1 11.1 100.0 Total 72 100.0 100.0 Number of Family Members Frequency Percent Valid Percent Cumulative Percent Valid Up to 2 members 6 8.3 8.3 8.3 Three 16 22.2 22.2 30.6 Four 22 30.6 30.6 61.1 More than four 28 38.9 38.9 100.0 Total 72 100.0 100.0 Monthly Household Income Frequency Percent Valid Percent Cumulative Percent Valid Less than 60,000 30 41.7 41.7 41.7 60,0000 - 100,000 20 27.8 27.8 69.4 100,000 - 200,000 12 16.7 16.7 86.1 More than 200,000 10 13.9 13.9 100.0 Total 72 100.0 100.0 Source: Survey Data Determinants of Leisure Shopping Behaviour: Factor analysis output generated extracted only those factors which had the Eigen values greater than 1. Factors were labelled on the basis of their salient loadings. The list of extracted factors is given in the below tables. Table 2: Factor Analysis Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative % 1 2.693 44.887 44.887 2.693 44.887 44.887 2.151 35.849 35.849 2 1.375 22.915 67.803 1.375 22.915 67.803 1.917 31.954 67.803 3 .982 16.359 84.162 4 .558 9.296 93.457 5 .255 4.249 97.706 6 .138 2.294 100.000 Extraction Method: Principal Component Analysis.
  • 4. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 25 | Table 3: Component Matrix Component 1 2 I enjoy shopping more than most people do .868 .228 Shopping is entertaining to me .790 -.542 I love to go shopping when I can find time .740 .443 Shopping is a good way for me to relax .732 -.590 Shopping is not a way I like to spend my leisure time .372 .574 Shopping is a waste of time .306 .393 Extraction Method: Principal Component Analysis. a. 2 components extracted. Table 4: Rotated Component Matrix Component 1 2 Shopping is entertaining to me .954 Shopping is a good way for me to relax .940 I love to go shopping when I can find time .814 I enjoy shopping more than most people do .732 Shopping is not a way I like to spend my leisure time .679 Shopping is a waste of time .498 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. The dimensions of leisure shopping behaviour among shoppers are classified into two on the strength of factor analysis. Hedonic Shopping Value: The factor with maximum variance of 44.887% of total variance with Eigen value of 2.693 was named as ‘Hedonic Shopping Value’. Four variables had high factor loading on this factor. Hedonistic shoppers who give importance to enjoyment and excitement they experience during the shopping trip. Therefore, an elevated hedonic value provides more fun & enjoyment. These kinds of shoppers consider shopping as a leisure activity and derive pleasure from it, along with the purchase of products. Hedonic value is more subjective and personal and results more from fun and playfulness than from task completion Shopping Enjoyment: The factor with maximum variance of 22.915% of total variance with Eigen value of 1.375 was named as ‘Shopping Enjoyment’. Two variables had high factor loading on this factor. Shopping enjoyment can be viewed as the pleasure that a consumer derives from the shopping process/activities. It has been determined that consumers who enjoy shopping spend more time per trip, which can cause higher spending. Hedonic Shopping Value Vs. Shopping Enjoyment: The mean ranks for the two dimensions of leisure shopping behaviour, hedonic shopping value and shopping enjoyment, are summarised in the following table. Table 5: Ranks – Leisure Shopping Behaviour Shopper N Mean Rank Leisure Shopping Behaviour Shopping Enjoyment 72 71.92 Hedonic Shopping Value 72 73.08 Total 144 The mean rank for hedonic shopping value (73.08) is higher than that of shopping enjoyment (71.92). This difference is statistically analysed using Independent-Samples Mann-Whitney U Test.
  • 5. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 26 | Table 6: Hypothesis Test Summary Null Hypothesis Test Sig. Decision 1 The distribution of Leisure Shopping Behaviour is the same across categories of Shopper. Independent-Samples Mann-Whitney U Test .867 Retain the null hypothesis. Asymptotic significances are displayed. The significance level is .05. From the above table, it is evident that there is no significant difference in the mean ranks of the two dimensions of leisure shopping behaviour. The null hypothesis retained with significance level, P > 0.05. Impact of leisure shopping behaviour on shopper demographics: The leisure shopping behaviour among different shopper categories were statistically analysed using Independent-Samples Kruskal-Wallis Test and Independent-Samples Mann-Whitney U Test Hedonic Shopping Value among Shopper Categories: The gender, marital status, number of family members and monthly household income of the respondents were the four grouping variables for the test. The hedonic shopping value was tested statistically using Independent-Samples Kruskal-Wallis Test. It is proven that, there is not much difference in the hedonic shopping value among shopper demographics. Shopping Enjoyment among Shopper Categories: The shopping enjoyment among different shopper demographics were tested statistically using Independent-Samples Kruskal-Wallis Test. The result shows that there is not much differences in shopping enjoyment in gender and house hold income. But for ‘marital status’ and ‘number of family members’ categories, the shopping enjoyment differs according to respondent demographics and discussed in the following session. Marital Status: The following table describes the mean rank of shopping enjoyment according to the marital status of respondents. The category ‘Widowed/ Separated’ has the highest mean rank of 48.50, followed by ‘Unmarried category’ with 46.67. ‘Married’ people has the lowest mean shopping enjoyment score of 32.31. Table 7: Shopping enjoyment Marital Status N Mean Rank Shopping Enjoyment Married 52 32.31 Unmarried 12 46.67 Widowed/ Separated 8 48.50 Total 72 The differences in the mean ranks of the respondents were tested for statistical evidence and the summery is shown in the below table. Table 8: Hypothesis Test Summary Null Hypothesis Test Sig. Decision 1 The distribution of Shopping Enjoyment is the same across categories of Marital Status. Independent-Samples Kruskal-Wallis Test .022 Reject the null hypothesis. Asymptotic significances are displayed. The significance level is .05. The difference in the shopping enjoyment had proven statistically for the shopper marital status. The shopping enjoyment is highest for ‘widowed/ separated’ shoppers followed by ‘unmarried’ shoppers. The ‘married’ consumers have the lowest shopping enjoyment. Number of Family Members: The following table describes the mean rank of shopping enjoyment for each respondent groups. The highest score of 57.50 is for respondents had only two members in their family, followed by respondents with four members and the rank is 38.59. The shopping enjoyment is least for respondents having three members in their family with a score of 31.88
  • 6. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 27 | The differences in the mean ranks of respondent groups were tested for statistical evidence using Independent- Samples Kruskal-Wallis. Table 10: Hypothesis Test Summary Null Hypothesis Test Sig. Decision 1 The distribution of Shopping Enjoyment is the same across categories of No. of Family Members. Independent- Samples Kruskal- Wallis Test .048 Reject the null hypothesis. Asymptotic significances are displayed. The significance level is .05. The above table clearly shows that there are statistically significant differences among the shoppers according to their family size for shopping enjoyment at 95% confidence level. That is the shopping enjoyment is the highest for shoppers having only two members in their respective family followed by shoppers having four members at home. The shopping enjoyment is the lowest for families with three members. V. MAJOR FINDINGS The study found that leisure shopping behaviour among the organized retail outlet shoppers have two dimensions namely, hedonic shopping value and shopping enjoyment. The shopping enjoyment differs with ‘marital status’ and ‘household size’ of the shoppers. The shoppers with ‘two or less members’ in their family enjoys their shopping trips at organized retail formats more than that of other categories. Similarly ‘widowed/ separated’ shoppers’ shopping enjoyment is the highest, followed by ‘unmarried’ consumers. But the hedonic shopping value according to shopper demographics is similar in nature. VI. CONCLUSION This paper explores the factors influencing on consumers’ leisure shopping behaviour in organized retail outlets and shopping malls. It has been found that the demographic variables of shopper have some influence on the leisure shopping behaviour. Given the results, marketing experts should pay attention to the role of personal characteristics and demographics when formulating the communication messages. Further research on shopping enjoyment and hedonic shopping value could focus on enriching the existing demographic dimensions with some additional personal, cultural, socio-economical and/or situational (categories of) factors. REFERENCES 1. Ann Marie Fiore, Jihyun Kim, 2007. An integrative framework capturing experiential and utilitarian shopping experience. International Journal of Retail & Distribution Management. 2. Anon., 2007. An integrative framework capturing experiential and utilitarian. 3. Anthony, K., 1985. The shopping mall: A Teenage Hangout. 4. Arnold, M.J., Reynolds, K.E., 2003. Hedonic shopping motivations. Journal of Retailing. 5. Backstrom, K., 2011. Shopping as leisure: An exploration of manifoldness and dynamics in consumers shopping experiences. Journal of Retailing and Consumer Services. 6. Ballenger, D.N., Korgaonkar, P.K., 1980. Profiling the recreational shopper. Journal of Retailing. 7. Bellenger, D.N., Robertson, D.H., Greenberg, B.A., 1977. Shopping center patronage motives. Journal of Retailing. 8. Howard, E. S. E., 2007. Shopping for pleasure? Shopping experience of Hungarian consumers. International Journal of Retail & Distribution Management. Table 9: Shopping enjoyment No. of Family Members N Mean Rank Shopping Enjoyment Upto 2 members 6 57.50 Three 16 31.88 Four 22 38.59 More than four 28 33.00 Total 72
  • 7. Determinants of Leisure Shopping Behaviour: An Empirical… |Volume 2| Issue 5 | www.ijrtem.com | 28 | 9. Rajagopal, 2007. Leisure Shopping Behaviour and Recreational Retailing: A Symbiotic Analysis of Marketplace Strategy and Consumer Response. Journal of Hospitality & Leisure Marketing. 10. Seth, J., 1983. An integrative theory of patronage preference and behaviour. 11. Victoria Rosanna Ragel, Saranya Ariyanayagam, 2014. Leisure Shopping in the Supermarket Setup: A Behavioural Study. The IUP Journal of Marketing Management. 12. Wakefield, Kirk L., & Baker, Julie. , 1998. Excitement at the mall: Determinants and effects on shopping response. Journal of Retailing. Naibi Kurian, et al. “Determinants of Leisure Shopping Behaviour: An Empirical Study among Consumers of Organized Retail Formats in Kerala.” Invention Journal of Research Technology in Engineering & Management (IJRTEM), vol. 2, no. 5, 20 May 2018, pp. 22–28., www.ijrtem.com.