DOI QR코드

DOI QR Code

Online Young Consumer Shopping Self-Efficacy: An Indian Exploration

  • 투고 : 2019.12.06
  • 심사 : 2020.04.22
  • 발행 : 2020.09.30

초록

The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.

키워드

참고문헌

  1. Arnold, M. J., and Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77-95. 
  2. Babin, B. J., Darden, W. R., and Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping. Journal of Consumer Research, 20(4), 644-656. 
  3. Bagozzi, R. P., and Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. 
  4. Bandura, A. (1977). Social learning theory. New York: General Learning Press. 
  5. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, WH Freeman. 
  6. Baumrind, D. (1991). The influence of parenting style on adolescent competence and substance use. The Journal of Early Adolescence, 11(1), 56-95. 
  7. Bridges, E., and Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314. 
  8. Browne, M. W., and Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods and Research, 21, 230-258. 
  9. Chiu, Y. B., Lin, C. P., and Tang, L. L. (2005). Gender differs: Assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416-435. 
  10. Christ, O., Van Dick, R., Wagner, U., and Stellmacher, J. (2003). When teachers go the extra mile: Foci of organizational identification as determinants of different forms of organizational citizenship behavior among schoolteachers. British Journal of Educational Psychology, 73(3), 329-341. 
  11. Cyr, D., Kindra, G. S., and Dash, S. (2005). Website design, trust, satisfaction and e-loyalty: The Indian experience. University of Ottawa Working Paper No. 05-31. 
  12. Dholakia, R., and Uusitalo, O. (2002). Switching to electronic stores: Consumer characteristics and the perception of shopping benefits. International Journal of Retail and Distribution Management, 30(10), 459-469. 
  13. Doney, P. M., and Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61(1), 35-51. 
  14. Dwyer, R. R., Sehurr, P. H., and Sejo, O. (1987). Developing buyer-seller relationships. Journal of Marketing, 5(1), 11-27. 
  15. Eastin, M. S., and LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-mediated Communication, 6(1). doi: 10.1111/j.1083-6101.2000.tb00110.x 
  16. Farris, R., Chong, F., and Dunning, D. (2002). Generation Y: Purchasing power and implications for marketing. Academy of Marketing Studies Journal, 6(2), 89-101. 
  17. Feick, L. F., and Price, L. L. (1987). The market maven: A diffuser of marketplace information. Journal of Marking, 51(1), 83-97. 
  18. Fornell, C., and Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement errors: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. 
  19. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58(1), 1-19. 
  20. Gist, E. M., and Mitchell, T. R. (1992). Self-efficacy: A theoretical analysis of its determinants and malleability. Academy of Management Review, 17(2), 183-211. 
  21. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2010). Multivariate data analysis (6th ed.). Upper Saddle River, New Jersey: Pearson Prentice Hall. 
  22. Hill, W. W., and Beatty, S. E. (2011). A model of adolescents' online consumer self-efficacy (OCSE). Journal of Business Research, 64(1), 1025-1033. 
  23. Hoe, S. L. (2008). Issues and procedures in adopting SEM technique. Journal of Applied Quantitative Methods, 3(1), 76-83. 
  24. Hoelter, D. R. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11, 325-344. 
  25. Karp, L., and Lee, I. H. (2001). Learning-by-doing and the choice of technology: The role of patience. Journal of Economic Theory, 100(1), 73-92. 
  26. Kim, Y. M., and Kim, D. J. (2005). A study of online transaction self-efficacy, consumer trust, and uncertainly reduction in electronic commerce transaction. Proceedings of the 38th Hawaii International Conference on System Sciences, Hawaii, USA. 
  27. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223. 
  28. Lueg, J. E., Ponder, N., Beatty, S. E., and Capella, M. L. (2006). Teenager's use of alternative shopping media: A consumer socialization perspective. Journal of Retailing, 82(2), 137-153. 
  29. Mick, D. G., and Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(3), 123-144. 
  30. Ministry of Youth Affairs and Sports (2014). National Youth Policy 2014, Government of India. Journal of Global Marketing 11. Retrieved from http://yas.nic.in/sites/default/files/National-YouthPolicyDocument.pdf 
  31. Monsuwe, T. P., Dellaert, B. G. C., and De Ko, R. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121. 
  32. Moore, R. L., and Moschis, G. P. (1981). The role of family communication in consumer learning. Journal of Communication, 3(4), 42-51. 
  33. Moschis, G. P., and Moore, R. L. (1978). An analysis of the acquisition of some consumer competencies among adolescents. The Journal of Consumer Affairs, 12(2), 277-292. 
  34. Nunnally, J. C., and Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill. 
  35. Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320. 
  36. Shang, R. A., Chen, Y. C., and Shen, L. (2005). Extrinsic versus intrinsic motivations for consumers to shop on-line. Information and Management, 42(2), 401-413. 
  37. Sorce, P., Perotti, V., and Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail and Distribution Management, 33(2), 122-132. 
  38. Statista (2020). Retail e-commerce sales 2014-2023. Retrieved from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales. Accessed on February 18, 2020. 
  39. The Economic Times (2016, May 8). India's e-commerce sector to see $120 billion revenue by 2020: Assocham-Forrester report. Retrieved from https://economictimes.indiatimes.com/industry/services/retail/indias-e-commerce-sector-to-see-120-billion-revenue-by-2020-assocham-forrester-report/articleshow/52172120.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppsthttps://economictimes.indiatimes.com/industry/services/retail/indias-e-commerce-sector-to-see-120-billion-revenue-by-2020-assocham-forrester-report/articleshow/52172120.cms. Accessed September 15, 2017. 
  40. Vrechopoulos, A. P., Siomkos, G. F., and Doukindis, G. I. (2001). Internet shopping adoption by Greek consumers. European Journal of Innovation Management, 4(3), 142-152. 
  41. Wei, L., and Zhang, M. (2008). The impact of Internet knowledge on college student's intention to continue to use the Internet. Information Research, 13(3), 1-22. 
  42. Zamzuri, N. H., Kassim, E. S., Shahrom, M., and Humaidi, N. (2018). Entertainment gratification, informative gratification, web irritation and self-efficacy as motivational factors to online shopping intention. Management and Accounting Review (MAR), 17(3), 95-108.