A STUDY OF POPULAR E-COMMERCE PLATFORMS AND DEMOGRAPHICS PROFILING OF ONLINE CONSUMERS IN INDIA
Keywords:
E-comm:erce platforms, Online shopping behavior, demographics, Indian consumersAbstract
Past decade has seen a surge in shopping via online mode by Indian consumers. This is accompanied by a multifold increase in e-commerce platforms that are catering to the diverse needs of these customers. Yet some e-commerce platforms remains more popular in the market and others fade out fast. This study is an attempt to investigate the popular e-commerce platforms among Indians in categories namely, food, shopping, entertainment and transport (cab service). Further, the study also explores the influence of demographic variables (gender & age) on the online shopping behavior of Indian consumers. Online survey-based questionnaire was used to collect data from the respondents. Data analysis and hypotheses testing was performed using Chi-square test. Analysis revealed that age differences were important factor influencing the online shopping behavior of consumers in India in comparison to gender differences. The findings of the current study will help e-commerce platforms in strategizing themselves to lure the untapped age groups in India as more and more consumers are becoming comfortable with surfing, ordering and purchasing via the digital mode.
References
Alreck, P. and Settle, R. B., “Gender Effects on Internet, Catalogue and Store Shopping,” Journal of Database Marketing Vol. 9, No. 2:150-162, 2002.
Bellenger, D. N. and Korgaonkar, P. K., “Profiling the Recreational Shopper,” Journal of Retailing Vol. 56, 77-92, 1980.
Bellman, S., Lohse, G. L. and Johnson, E. J., “Predictors of Online Buying Behavior,” Communications of the ACM Vol. 42, No. 12 32-38, 1999.
Bigne´, E., Ruiz, C. and Sanz, S. (2005), “The impact of internet user shopping patterns and demographics on consumer mobile buying behaviour”, Journal of Electronic Commerce Research, Vol. 6 No. 3, pp. 193-209.
Bhat, SA and Darzi, MA, “Exploring the Influence of Consumer Demographics on Online Purchase Benefits “, FIIB Business Review. 8(4):303-316. 2019
Bhatnagar, A. and Ghose, S., “A Latent Class Segmentation Analysis of E-Shoppers,” Journal of Business Research Vol. 57, 758-767, 2004
Brown, M., Pope, N. and Voges, K., “Buying or Browsing? An Exploration of Shopping Orientations and Online Purchase Intention,” European Journal of Marketing Vol. 37, No. 11/12: 1666-1685, 2003. 8. Donthu, N. and Garcia, A., “the Internet Shopper,” Journal of Advertising Research Vol. 39, No.3 52-58, 1999.
Herna´ndez; Blanca, Jime´nez, Julio and Martı´n, M. Jose´, “Age, gender and income: do they really moderate online shopping behaviour?” Online Information Review Vol. 35 No. 1, pp. 113-133, 2011 10. Hou, Jianwei and Elliott, Kevin, “Mobile shopping intensity: Consumer demographics andmotivations”, Journal of Retailing and Consumer Services, Volume 63, 2021, 102741, ISSN 0969-6989, 2021 11. Li, N., & Zhang, P. (2002). Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 proceedings, 74.
Lissitsa, Sabina and Ofrit Kol, “Generation X vs. Generation Y – A decade of online shopping” Journal of Retailing and Consumer Services Vol. 31, 304–312, 2016
Lynch, P. D. and Beck, J. C., “Profiles of Internet Buyers in 20 Countries: Evidence for Region Specific Strategies,” Journal of International Business Studies Vol. 32, 725-748, 2001.
Mahmood, M. A., Bagchi, K. and Ford, T. C., “On-Line Shopping Behavior: Cross-Country Empirical Research,” International Journal of Electronic Commerce Vol. 9, No. 1: 9-30, 2004. 15. Mckinney, L. N., “Internet Shopping Orientation Segments: An Exploration of Differences in Consumer Behavior,” Family and Consumer Sciences Research Journal Vol. 32, No. 4: 408-433, 2004. 16. Morris, M.G. and Venkatesh, V. (2000), “Age differences in technology adoption decisions: implications for a changing work force”, Personnel Psychology, Vol. 53 No. 2, pp. 375-403.
Park, C. and Jun, J.-K., “A Cross-Cultural Comparison of Internet Buying Behavior,”International Marketing Review Vol. 20, No. 5: 534-554, 2003.
Rodgers, S. and Harris, M., “Gender and E-Commerce: An Exploratory Study,” Journal of Advertising Research Vol. 43, No. 3: 322-330, 2003.
Rohm, A. J. and Swaminathan, V., “A Typology of Online Shoppers Based on Shopping Motivations,” Journal of Business Research Vol. 57, No. 7: 748-758, 2004.
Sin, L. and Tse, A., “Profiling Internet Shoppers in Hong Kong: Demographic, Psychographic, Attitudinal and Experiential Factors,” Journal of Interactive Marketing Vol. 15, No. 1, 7-29,2002. 21. Slyke, C. V., Comunale, C. L. and Belanger, F., “Gender Differences in Perceptions of Web- Based Shopping,” Communications of the ACM Vol. 45, No. 7: 82-86, 2002.
Tran, Van-Dat and Quang Huy Vu, “Inspecting the relationship among E-service quality, E-trust, E-customer satisfaction and behavioral intentions of online shopping customers”, Global Business & Finance Review (GBFR), ISSN 2384-1648, Vol. 24, Iss. 3, pp. 29-42, 2019
IAMAI and Kantar, “Internet Adoption in India ICUBE 2020” June 2021 Report 24. https://images.assettype.com/afaqs/2021-06/b9a3220f-ae2f-43db-a0b4-36a372b243c4/KANTAR_ ICUBE_2020_Report_C1.pdf
Livemint, Sept 7, 2021, https://www.livemint.com/industry/retail/india-to-have-500-milliononline shoppers-by-2030-says-study-11631004049343.html
Economic Times, Mar 15, 2021, https://economictimes.indiatimes.com/tech/technology/ecommerce is-fast-becoming-the-default-option-for-shopping-inindia/articleshow/81502440.cms?from=mdr
