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Journal articles on the topic 'Shopping time'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Petrosky-Nadeau, Nicolas, Etienne Wasmer, and Shutian Zeng. "Shopping time." Economics Letters 143 (June 2016): 52–60. http://dx.doi.org/10.1016/j.econlet.2016.02.003.

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2

Forsythe, Sandra M., and Anne W. Bailey. "Shopping Enjoyment, Perceived Time Poverty, and Time Spent Shopping." Clothing and Textiles Research Journal 14, no. 3 (1996): 185–91. http://dx.doi.org/10.1177/0887302x9601400303.

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3

Papastefanou, Georgios, and David Zajchowski. "Time for shopping – Social change of time use for shopping activities 1990-2012." electronic International Journal of Time Use Research 13, no. 1 (2016): 109–31. http://dx.doi.org/10.13085/eijtur.13.1.109-131.

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4

Geiger, Susi. "Exploring night-time grocery shopping behaviour." Journal of Retailing and Consumer Services 14, no. 1 (2007): 24–34. http://dx.doi.org/10.1016/j.jretconser.2006.03.001.

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M, Padma Priya, Periasamy JK, Jayaselvi P, and Aditya Siddharth R. "Real Time Text Detection and Shopping Assistance for the Visually Impaired." International Journal of Psychosocial Rehabilitation 23, no. 4 (2019): 523–30. http://dx.doi.org/10.37200/ijpr/v23i4/pr190386.

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6

Baker, R. G. V. "Multipurpose Shopping Behaviour at Planned Suburban Shopping Centres: A Space—Time Analysis." Environment and Planning A: Economy and Space 28, no. 4 (1996): 611–30. http://dx.doi.org/10.1068/a280611.

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There is a continual interest in research on multipurpose shopping (MPS), because it provides a further extension of rational decisionmaking, whereby consumers who combine shopping activities reduce the time and cost of travel. The literature describes the importance of this type of shopping for infrequent trips to higher order centres (Bacon, 1984) or MPS constructed around convenience, supermarket, or comparison trips (West, 1993). A study of MPS at a range of planned suburban shopping centres (PSSCs) in Sydney, Australia during 1988/89 endeavoured to relate these hypotheses to results from

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7

Davydenko, Mariya, and Johanna Peetz. "Shopping less with shopping lists: Planning individual expenses ahead of time affects purchasing behavior when online grocery shopping." Journal of Consumer Behaviour 19, no. 3 (2020): 240–51. http://dx.doi.org/10.1002/cb.1812.

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Mihić, Mirela, Ivan-Damir Anić, and Ivana Kursan Milaković. "Time spent shopping and consumer clothing purchasing behaviour." Ekonomski pregled 69, no. 2 (2018): 89–105. http://dx.doi.org/10.32910/ep.69.2.1.

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The purpose of this study is to explore the impact of various antecedents and behavioural consequences of consumers’ perceptions of time spent on shopping for clothing products. Examined antecedent variables are gender, age, income, fashion consciousness and visual merchandising, while outcomes include the number of clothing items purchased. The data, collected by consumer survey in Croatia, was analysed using exploratory and confi rmatory factor analyses, and structural equation modelling (SEM). The major fi ndings indicate that visual merchandising has the greatest and positive effect on tim

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Kim, Hye-Young, and Youn-Kyung Kim. "Shopping enjoyment and store shopping modes: The moderating influence of chronic time pressure." Journal of Retailing and Consumer Services 15, no. 5 (2008): 410–19. http://dx.doi.org/10.1016/j.jretconser.2007.10.003.

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10

Lin, Chinho, Yu-Huei Wei, and Watcharee Lekhawipat. "Time effect of disconfirmation on online shopping." Behaviour & Information Technology 37, no. 1 (2017): 87–101. http://dx.doi.org/10.1080/0144929x.2017.1406004.

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Umesh, U. N., Kathy L. Pettit, and Carl S. Bozman. "Shopping Model of the Time-Sensitive Consumer." Decision Sciences 20, no. 4 (1989): 715–29. http://dx.doi.org/10.1111/j.1540-5915.1989.tb01415.x.

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12

Bruwer, Johan De W., Norbert E. Haydam, and Binshan Lin. "Reducing bias in shopping mall-intercept surveys: The time-based systematic sampling method." South African Journal of Business Management 27, no. 1/2 (1996): 9–16. http://dx.doi.org/10.4102/sajbm.v27i1/2.803.

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Marketing practitioners nowadays often have to base important management decisions on information obtained in research surveys conducted in shopping malls. The shopping mall-intercept survey is a very popular method used by research agencies to gather information of almost all kinds. While the advantages of shopping mall-intercept interviewing are considerable, their adoption without recognition of their shortcomings is not prudent. Selection error, resulting in time sampling bias, occurs in shopping mall-intercept surveys as a result of significant differences between the characteristics of p

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Barone, Vincenzo, Federica Crocco, and Domenico W. E. Mongelli. "Models of Choice between Shopping and E-Shopping." Applied Mechanics and Materials 442 (October 2013): 607–16. http://dx.doi.org/10.4028/www.scientific.net/amm.442.607.

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In the era of the new economy, research on freight transport and logistics in urban areas can not ignore the impact of the internet on society. From the point of view of e-commerce, the Web is joined in the daily life of the Italians not only for the growing opportunities to shop at better conditions than the other channels, but for the enormous possibilities that the Internet provides for those who has time, desire and interest to search the site data and useful information to make more effective shopping for a product or a service. The effects of these changes on the transport demand are man

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14

Baker, R. G. V., and B. J. Garner. "On the Space-Time Associations in the Consumer Patronage of Planned Shopping Centres." Environment and Planning A: Economy and Space 21, no. 9 (1989): 1179–94. http://dx.doi.org/10.1068/a211179.

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In this paper the changing behaviour of three shopping centres over time is described. The middle-ranked centre had stable occupancy levels, and shopping patronage over a finite time period is shown from the Fourier analysis to be periodic. The largest shopping centre does not exhibit the same behavioural characteristics. It is argued that agglomerative effects distort the space — time associations in the patronage distributions there. There is a return to the classical view of space-discounting shopping opportunities in the differential equation, and the results reflect the spatial trends obs

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15

Yang, Jinke. "An Empirical Analysis of Psychological Factors Based on EEG Characteristics of Online Shopping Addiction in E-Commerce." Journal of Organizational and End User Computing 33, no. 6 (2021): 1–17. http://dx.doi.org/10.4018/joeuc.286767.

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With the popularity of the Internet and the in-depth development of e-commerce, online shopping has broken through the time, space and geographical restrictions, and has attracted extensive attention from various social groups. Moderate online shopping can not only save time and expenses, but also play a role of entertainment to a certain extent. However, excessive online shopping will lead to online shopping addiction, resulting in extreme waste of time and money, and even disharmony of social functions. Internet shopping addiction is a psychological dependence on online shopping.

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16

Elizabeth Lloyd, Alison, Ricky Y.K. Chan, Leslie S.C. Yip, and Andrew Chan. "Time buying and time saving: effects on service convenience and the shopping experience at the mall." Journal of Services Marketing 28, no. 1 (2014): 36–49. http://dx.doi.org/10.1108/jsm-03-2012-0065.

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Purpose – The domain of service convenience remains relatively unexplored. However, as time pervades all aspects of consumption, the value placed on time is likely to influence the importance of convenience. Prior studies call for the investigation of convenience beyond the store context; and malls being a one-stop shopping destination, present an ideal environment for investigation. Design/methodology/approach – A conceptual model delineating the relationships between service convenience, shopping trip value, customer satisfaction and several retail outcomes is developed. This model is empiri

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17

Ferrell, Christopher E. "Home-Based Teleshopping and Shopping Travel." Transportation Research Record: Journal of the Transportation Research Board 1926, no. 1 (2005): 212–23. http://dx.doi.org/10.1177/0361198105192600125.

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Structural equation modeling techniques were used to explore the tradeoffs that people make when teleshopping from home. Early in the development and growth of online shopping, many assumed that it would become a direct substitute for traditional retail (out-of-home) shopping and thereby reduce shopping trips and vehicle miles traveled. A growing body of research on the interplay between the use of information and communications technologies suggests that people shop and travel for a multitude of reasons that depend on the interplay between lifestyle, availability and convenience of shopping o

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18

Angela Chang, Chiu‐chi, and Monika Kukar‐Kinney. "The effects of shopping aid usage on consumer purchase decision and decision satisfaction." Asia Pacific Journal of Marketing and Logistics 23, no. 5 (2011): 745–54. http://dx.doi.org/10.1108/13555851111183110.

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PurposeThe purpose of this paper is to compare and contrast two types of shopping aids, that is, research‐supporting and solution‐oriented shopping aids, and examine their effectiveness, considering both consumer and situational factors.Design/methodology/approachExpanded selection and additional detailed information are chosen to illustrate research‐supporting shopping aids, and personalized product recommendations and product ratings are used as examples of solution‐oriented shopping aids. This conceptual paper proposes that usage of shopping aids has an effect on the purchase likelihood and

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19

Chebat, Jean-Charles. "Effects of Time of Day on Shopping Behavior." Perceptual and Motor Skills 88, no. 2 (1999): 421–22. http://dx.doi.org/10.2466/pms.1999.88.2.421.

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20

Chiang, Jeongwen, Ching-Fan Chung, and Emily T. Cremers. "Promotions and the pattern of grocery shopping time." Journal of Applied Statistics 28, no. 7 (2001): 801–19. http://dx.doi.org/10.1080/02664760120074997.

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21

BLAYLOCK, JAMES R., and DAVID M. SMALLWOOD. "Intrahousehold Time Allocation: The Case of Grocery Shopping." Journal of Consumer Affairs 21, no. 2 (1987): 183–201. http://dx.doi.org/10.1111/j.1745-6606.1987.tb00198.x.

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22

Shy, Oz, and Rune Stenbacka. "Price Competition, Business Hours and Shopping Time Flexibility." Economic Journal 118, no. 531 (2008): 1171–95. http://dx.doi.org/10.1111/j.1468-0297.2008.02165.x.

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23

Cysne, Rubens P., Wilfredo L. Maldonado, and Paulo Klinger Monteiro. "Inflation and income inequality: A shopping-time approach." Journal of Development Economics 78, no. 2 (2005): 516–28. http://dx.doi.org/10.1016/j.jdeveco.2004.09.002.

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24

Efrianti, Efrianti, and Nurul Ilmi Idrus. "Preloved Shopping." Emik 3, no. 1 (2020): 55–79. http://dx.doi.org/10.46918/emik.v3i1.578.

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Online shopping has become part of public shopping activities, through social media such as Facebook, Instagram, etc., with various shopping convenience. Since the rise of online businesses, Instagram is one of the most popular shopping media, both for new and preloved goods. While a number of existing literatures concentrate on online shopping with various new items, little if any deals with preloved shopping with specific items, focusing on its management. This article fills this gap. This study was conducted on social media Instagram on preloved goods seller accounts through which pre

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25

Kumar, R. Rajendra. "Components of Consumer Factor and Its Influence on Attitude of the Student Online Shopping Community." International Journal of Online Marketing 8, no. 3 (2018): 36–51. http://dx.doi.org/10.4018/ijom.2018070103.

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This research article analyzed the impact of Consumer factors like privacy, security, time saving and convenience and its impact on the attitude of consumers of online shopping. Further, the difference between the variables such as frequency of online shopping, time spent for shopping online, products often purchased during online shopping, value of money spent during shopping, mode of payment preferred and the consumer factors were also identified to ascertain the actual relationship. The research has focused on the student's community as the data set and their views on online shopping were c

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26

Bin Peeyee, Muhammad Wardi, Shuzlina Abdul-Rahman, Nurzeatul Hamimah Abdul Hamid, and Mohd Zaki Zakaria. "Heuristic based model for groceries shopping navigator." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 932. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp932-940.

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This paper presents a heuristic based model for groceries shopping navigator that attempts to improve the navigation problem that usually face by customers while doing their shopping. A system known as Shopping Navigator or shortly SHoNa was developed to give the optimal sequence of shelves to be visited by the customer and the total estimated shopping time so that the user can plan their shopping task earlier. Genetic algorithm was employed and implemented in a web-based platform that is compatible with other devices such as smartphones and tablets. SHoNA can minimize the shopping time by ide

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27

Khusaini, Khusaini, Heni Cahya Ramdani, and Riski Ambarumanti. "The Influence of Shopping and Gender Differences on Online Shopping." Jurnal Pendidikan Ekonomi Dan Bisnis (JPEB) 7, no. 1 (2019): 22–30. http://dx.doi.org/10.21009/jpeb.007.1.3.

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This study aims to analyze the influence of shopping and gender orientation on online shopping, and analyze the differences in shopping orientation and online shopping between men and women. The sample in this study were 151 UNIS Tangerang students. The analysis method uses multiple linear regression test. Furthermore, this study also uses independent sample T test to analyze differences in shopping orientation and online shopping for male and female students. In shopping orientation, use shopping enjoyment indicators, fashion / conscious, price conscious, shopping confidence, time conscious,

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28

Hornik, Jacob. "Shopping Time and Purchasing Behavior as a Result of In-Store Tactile Stimulation." Perceptual and Motor Skills 73, no. 3 (1991): 969–70. http://dx.doi.org/10.2466/pms.1991.73.3.969.

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286 shoppers were greeted by one of 6 student-experimenters while entering a bookstore Half the shoppers were touched, and the other half were not. A light touch on the upper arm increased the subjects' shopping time, their amount of shopping, as well as their over-all evaluation of the store.

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29

Gohain, Kastury, Seethaletchumy Thambiah, and Manah Chandra Changmai. "Behavioural Components of Online Shopping Among Consumers of Malaysia." Journal of Social Sciences Research, no. 52 (January 25, 2019): 436–43. http://dx.doi.org/10.32861/jssr.52.436.443.

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The aim of this paper is to contribute to the literature of why people are becoming fond of online shopping nowadays. Surprisingly, online shopping has become much easier since some brands have started to display their designs on phone applications or website which makes the work easier and saves time of consumers. People nowadays like to spend their free time by surfing the internet no matter anywhere and anytime. For many respondents, the online shopping has almost become an addiction. The purpose of this study is to explore the extent to which the online shopping is preferred by the consume

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30

Nilsson, Elin, Tommy Gärling, and Agneta Marell. "Effects of time pressure, type of shopping, and store attributes on consumers’ satisfaction with grocery shopping." International Review of Retail, Distribution and Consumer Research 27, no. 4 (2017): 334–51. http://dx.doi.org/10.1080/09593969.2017.1309674.

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31

S, Balusamy, and Giri N. "Consumers’ attitude towards online shopping." Journal of Management and Science 6, no. 3 (2016): 219–55. http://dx.doi.org/10.26524/jms.2016.19.

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E-commerce offers many online marketing opportunities to companies worldwide and along with high rapid growth of online shopping; it has impressed many retailers to sell products and services through online channel to expand their market. Online shopping or marketing is the use of technology (i.e., computer, internet) for better marketing performance. And retailers are mixing strategies to meet the demand of online shoppers; they are busy in studying consumer in the field of online shopping, to see the consumer attitudes towards online shopping and specifically studying the factors influencing

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32

Massara, Francesco. "A Work-Fun Model of Shopping Behaviour: Explaining When Consumers Buy on Impulse." Multidisciplinary Business Review 13, no. 2 (2020): 1–16. http://dx.doi.org/10.35692/07183992.13.2.2.

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 A study was conducted that implemented a computer-based research vehicle to capture microscopic aspects of shopping and to permit a moment-by-moment analysis of consumer-environment interactions. Participants shopped in a virtual grocery store with a fixed budget. Analysis of shopping behaviour revealed a significant relationship between the time spent in the store, the shopping path taken, and the number of unplanned purchases made. Temporal analysis indicated that unplanned purchases were very unlikely during the first 25% of the time spent in the store, but became very likely during

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33

Bhat, Chandra R., and Jennifer L. Steed. "A continuous-time model of departure time choice for urban shopping trips." Transportation Research Part B: Methodological 36, no. 3 (2002): 207–24. http://dx.doi.org/10.1016/s0191-2615(00)00047-3.

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ACKERMAN, NORLEEN M. "Money resources, time demands, and situational factors as predictors of shopping time." Journal of Consumer Studies and Home Economics 13, no. 1 (1989): 1–19. http://dx.doi.org/10.1111/j.1470-6431.1989.tb00001.x.

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35

Vaidya, Rashesh. "Online Shopping in Nepal: Preferences and Problems." Journal of Nepalese Business Studies 12, no. 1 (2019): 71–86. http://dx.doi.org/10.3126/jnbs.v12i1.28184.

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The popularity of online shopping among Nepalese customers has increased with the cost-reduction of technology-based goods, the cost of internet services, and easy access to the internet. At the same time, the convenient modes of payments, and user-friendly, as well as, interactive shopping apps are further paving a pathway to unprecedented growth in the online shopping companies. The online shopping companies in Nepal have been seen following the Business to Consumer (B2C), Customer to Customer (C2C), or the ‘Facebook Store’ business model. The paper has taken 300 respondents, as a sample, wh

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36

Katta, Rama Mohana Rao, and Chandra Sekhar Patro. "Online Shopping Behavior." International Journal of Sociotechnology and Knowledge Development 8, no. 4 (2016): 21–36. http://dx.doi.org/10.4018/ijskd.2016100102.

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Online shopping is a recent phenomenon in the field of E-Business with promising results indicating revolutionary change in shopping in the world. Accessibility and convenience are the key drivers for a major shift to online shopping. Due to ever increasing work pressure, multiple roles in life style, paucity of time, consumers are on the lookout of such facility that can suit to their changing needs. Online shopping provides the right solution to get the desired goods and services with a touch on the computer/ mobile screen. Consumers are more connected than ever before and have more informat

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37

Križan, František, Kristína Bilková, Josef Kunc, et al. "From School Benches Straight to Retirement? Similarities and Differences in the Shopping Behaviour of Teenagers and Seniors in Bratislava, Slovakia." Moravian Geographical Reports 26, no. 3 (2018): 199–209. http://dx.doi.org/10.2478/mgr-2018-0016.

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Abstract The shopping behaviours of teenagers in shopping centres in Bratislava (Slovakia) is compared to those of seniors in this paper. The analysis focuses on the perception of shopping centres by teenagers and seniors in the context of time (shopping frequency), social (with whom they shop) and financial (amount of money spent) factors. The survey was conducted on random samples of 504 teenagers and 431 seniors. To test the hypotheses, group means were evaluated (Analysis of Variance models). When assessing the spatial aspects of teenagers’ and seniors’ shopping behaviours, a concentric zo

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38

Steed, Jennifer L., and Chandra R. Bhat. "On Modeling Departure-Time Choice for Home-Based Social/Recreational and Shopping Trips." Transportation Research Record: Journal of the Transportation Research Board 1706, no. 1 (2000): 152–59. http://dx.doi.org/10.3141/1706-18.

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The existing literature on departure-time choice has primarily focused on work trips. Departure-time choice for nonwork trips, which constitute an increasingly large proportion of urban trips, is examined. Discrete choice models are estimated for home-based social/recreational and home-based shopping trips using the 1996 activity survey data collected in the Dallas—Fort Worth metropolitan area. The effects of individual and household sociodemographics, employment attributes, and trip characteristics on departure-time choice are presented and discussed. The results indicate that departure-time

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39

Davies, Gary. "Time, food shopping and food preparation: some attitudinal linkages." British Food Journal 99, no. 3 (1997): 80–88. http://dx.doi.org/10.1108/00070709710168914.

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40

Nicholls, J. A. F. "Time and companionship: key factors in Hispanic shopping behavior." Journal of Consumer Marketing 14, no. 3 (1997): 194–205. http://dx.doi.org/10.1108/07363769710166783.

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41

Li, Wei Hong, Yang Cheng, and Zheng Fang. "Analysis on the Consumer Decision Time of Online Shopping." Advanced Materials Research 971-973 (June 2014): 2289–92. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.2289.

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In prior literature of consumer decision time has received scholars’ attention. Many researches have examined the elements which can affect the time of consumer decision.With the rate growing in online shopping, how long a consumer will pay for the goods has been concerned by companies.Factors impact on the consumer decision time has attracted scholars’ attention. For these reasons, clearing factors which influence the decision time is very necessary.Consumers engaged in a choice process can focus on information they bring with them from prior search or experience, or information variable in t

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McHugh, Marie, Kate Greenan, Christine Kerrigan, and Stephen Wightman. "Food Shopping and Cooking Cycles: ″Time″ – A Critical Dimension." British Food Journal 93, no. 5 (1991): 12–16. http://dx.doi.org/10.1108/eum0000000002340.

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43

van Ittersum, Koert, Brian Wansink, Joost M. E. Pennings, and Daniel Sheehan. "Smart Shopping Carts: How Real-Time Feedback Influences Spending." Journal of Marketing 77, no. 6 (2013): 21–36. http://dx.doi.org/10.1509/jm.12.0060.

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McDonald, William J. "Time use in shopping: The role of personal characteristics." Journal of Retailing 70, no. 4 (1994): 345–65. http://dx.doi.org/10.1016/0022-4359(94)90004-3.

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Nelmapius, A. H., C. Boshoff, A. P. Calitz, and B. R. Klemz. "The impact of the information search variables, time pressure and involvement, on buying behaviour in a three-dimensional hypermedia computer-mediated environment." South African Journal of Business Management 36, no. 3 (2005): 1–14. http://dx.doi.org/10.4102/sajbm.v36i3.631.

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The Internet has the potential (through enormous computing and data processing capabilities and the overcoming of the physical retail constraints of limited time and space) to change the way that modern-day business is being conducted. The potential of the Internet is, however, not always translated into actual retail sales.Currently product information on Web sites is mainly, with a few exceptions, of a two-dimensional nature. This study specifically investigates aspects of consumer behaviour within a three-dimensional hypermedia environment, as opposed to the two-dimensional environment. The

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46

Flores, Miguel, and Tobias Wenzel. "Shopping Hours and Price Competition with Loyal Consumers." B.E. Journal of Economic Analysis & Policy 16, no. 1 (2016): 393–407. http://dx.doi.org/10.1515/bejeap-2015-0063.

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Abstract We study a retail market where firms compete in shopping hours and prices, and consumers have night-time or day-time preferences. In contrast to the existing literature, we introduce a market expansion effect of extending shopping hours by adding a segment of consumers (the loyal consumers) whose demand is increased if shopping hours are extended. We find that prices can increase due to shopping hours deregulation so that some consumers are worse off with deregulation. We also find that the extent of the price increase depends on the competitiveness of the retail industry.

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47

Aguiar, Mark, and Erik Hurst. "Life-Cycle Prices and Production." American Economic Review 97, no. 5 (2007): 1533–59. http://dx.doi.org/10.1257/aer.97.5.1533.

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We use scanner data and time diaries to document how households substitute time for money through shopping and home production. We document substantial heterogeneity in prices paid for identical goods for the same area and time, with older households shopping the most and paying the lowest prices. Doubling shopping frequency lowers a good's price by 7 to 10 percent. We estimate the shopper's price of time and use this series to estimate an elasticity of substitution between time and goods in home production of roughly 1.8. The observed lifecycle time allocation implies a consumption series tha

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48

Yeh, Hsiao-ping, and Tsung-Sheng Chang. "Mining Customer Shopping Behavior." International Journal of Information Systems in the Service Sector 10, no. 1 (2018): 16–27. http://dx.doi.org/10.4018/ijisss.2018010102.

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Mining customer shopping data is able for business managers to understand and predict customer behavior. However, most practices are focusing on the purchasing goods, i.e. basket analysis. This article collects customer shopping data by observation to systematically discover customer shopping pattern incorporating with customer's purchasing decision time. With Apriori algorithm and the proposed customer purchasing decision pattern examining principle, customer purchase behaviors of with decision attitudes are revealed. This article gets insights at decomposing support and confidence values of

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Katrodia, Ankit, M. J. Naude, and S. Soni. "Consumer Buying Behavior at Shopping Malls: Does Gender Matter?" Journal of Economics and Behavioral Studies 10, no. 1(J) (2018): 125–34. http://dx.doi.org/10.22610/jebs.v10i1(j).2095.

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The development of shopping malls is a major social and global phenomenon that has unearthed a novel facet for customer satisfaction and their consequent or relative buying behavior. The aim of his paper was to explore the gender differences in consumer buying behavior at selected Durban shopping malls. It is an observational cross-sectional study carried out on 700 randomly selected respondents to study buying capacity, buying behavior and shopping experience of male and female consumers at shopping malls in the city of Durban, South Africa. Data was collected through pre-tested semi-structur

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Katrodia, Ankit, M. J. Naude, and S. Soni. "Consumer Buying Behavior at Shopping Malls: Does Gender Matter?" Journal of Economics and Behavioral Studies 10, no. 1 (2018): 125. http://dx.doi.org/10.22610/jebs.v10i1.2095.

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The development of shopping malls is a major social and global phenomenon that has unearthed a novel facet for customer satisfaction and their consequent or relative buying behavior. The aim of his paper was to explore the gender differences in consumer buying behavior at selected Durban shopping malls. It is an observational cross-sectional study carried out on 700 randomly selected respondents to study buying capacity, buying behavior and shopping experience of male and female consumers at shopping malls in the city of Durban, South Africa. Data was collected through pre-tested semi-structur

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