Consumer Behavior Analysis on Online and Offline Shopping During Pandemic Situation

Miguel CÃ³rdova Espinoza; Varsha Ganatra; Kiran Prasanth; Rupesh Sinha; Corina Elena Ochoa MontaÃ±ez; Kolhe Mayur Sunil; Rishikaysh Kaakandikar

doi:10.32535/ijafap.v4i3.1208

Consumer Behavior Analysis on Online and Offline Shopping During Pandemic Situation

Miguel CÃ³rdova Espinoza, Varsha Ganatra, Kiran Prasanth, Rupesh Sinha, Corina Elena Ochoa MontaÃ±ez, Kolhe Mayur Sunil, Rishikaysh Kaakandikar

Abstract

Shopping has undergone a paradigm shift as a result of technological influence, with most consumers preferring online purchasing to traditional physical store shopping. The current pandemic scenario has resulted in a shift in customer spending patterns both online and offline. This paper identifies and analyses customersâ€™ behavior towards online and retail shopping based on various factors affecting their behavior on which mode of shopping most they prefer during the pandemic situation. Primary data was used and a structured questionnaire was utilized to obtain the data. An online survey was conducted to collect from 200 heterogeneous kinds of people. The data collected were subjected to frequency analysis, Chi-square test, and Cronbachâ€™s Alpha Test. IBM Statistical Package for Social Sciences (SPSS v23) was used for analyzing the data. The results revealed that among the various technological factors the proficiency rate of respondents utilizing, the internet has shown a significant impact on the consumersâ€™ preference towards the mode of shopping. Factors like quick product information, a wider choice of products, better prices and discounts highly influence the consumers to opt for online shopping, whereas faster delivery time and product quality reliability and accuracy influence the consumers to choose offline shopping.

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References

Akhtar, N., Akhtar, M. N., Usman, M., Ali, M., & Siddiqi, U. I. (2020). Covid-19 restrictions and consumersâ€™ psychological reactance toward offline shopping freedom restoration. Service Industries Journal, 40, 891â€“913.

Alba, J., Lynch, J., Weitz, Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997). Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces. Journal of Marketing, 61.

Chayapa, K., & Cheng, L. W. (2011). Online shopper behavior: Influence of online shopping decision. Asian Journal of Business Research, 1, 5-6.

Chiang, K-. P. & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: An empirical investigation. Journal of Consumer Psychology, 13(1), 177-183.

Churchill, C. A. (1976). Marketing research. Hinsdale, Ill.: The Dryden Press.

Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Interactive Marketing, 20(2), 55-75.

Ho, S. F. (2013). A study on consumersâ€™ attitude towards online shopping on Penang famous fruit pickles. Faculty of Applied Social Sciences, Open University, Malaysia.

Iyer, R., & Eastman, J. K. (2014). The elderly and their attitude towards the internet: The impact of internet use, purchases, and comparison shopping. Journal of Marketing Theory and Practice, 14(1). 57-67.

Kahnemann, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263â€“292.

Kaur, S., & Kaur, V. (2018). Comparative study on online vs. offline shopping. International Journal of Creative Research Thoughts, 6(1), 1460-1470.

Kolko, J. (2010). How broadband changes online and offline behaviors. Information Economics and Policy, 22(2), 144-152.

Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A. (2020). Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services, 57(C), 102224.

Lu, Y., Cao, Y., Wang, B., & Yang, S. (2011). A study on factors that affect users' behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27, 355-364.

Mason, A., Narcum, J., Mason, K. (2020). Changes in consumer decision-making resulting from the COVID-19 pandemic. Journal of Customer Behavior, 19(4), 299-321.

Muntaqheem, M., & Raiker, S. D. (2019). A study on consumer behavior towards online and offline shopping. IRE Journals, 3(4), 56-62.

Sarkar, R., & Das, S. (2017). Online shopping vs offline shopping: A comparative study. International Journal of Scientific Research in Science and Technology, 3(1),424-431.

Shanthi, R., & Kannaiah, D. (2013). Consumersâ€™ perception on online shopping. Journal of Marketing and Consumer Research, 15, 14-20.

Sinai, T., & Waldfogel, J. (2004). Geography and the Internet: Is the Internet a substitute or a complement for cities?. Journal of Urban Economics, 56(1), 1-24.

Sinha, R., Nair, R. K., Naik, V., Ganatra, V., Singri, P., Singh, P., . . . Modawal, I. (2021). New norm in consumer buying pattern: Online shopping swing amid the coronavirus pandemic. International Journal of Accounting & Finance in Asia Pacific, 4(2), 118-128.

Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization, 1, 39â€“60.

Warrier, U., Singh, P., Jien, C. W., Kee, D. M. H., Yi, G. Z., Jiann, T. W., . . . Ganatra, V. (2021). Factors that lead Amazon.com to a successful online shopping platform. International Journal of Tourism and Hospitality in Asia Pacific, 4(1), 7-17.

DOI: https://doi.org/10.32535/ijafap.v4i3.1208