DOI QR코드

DOI QR Code

The Effects of Using O2O Fashion Mobile Commerce on Consumers' Attitudes and Intentions -Focused on the characteristics of consumers and O2O mobile commerce-

  • Ko, Takhwan (Dept. of Fashion Design & Textiles, Inha University) ;
  • Yeom, Sunyoung (Dept. of Fashion Design & Textiles, Inha University) ;
  • Lee, MiYoung (Dept. of Fashion Design & Textiles, Inha University)
  • Received : 2017.06.25
  • Accepted : 2017.07.21
  • Published : 2017.07.30

Abstract

This study investigated consumers' enjoyment, perceived risks, expected values, and innovativeness factors and the effects of the convenience and personalization of "online to offline" (O2O) fashion mobile commerce on its perceived usefulness, perceived ease of use, and consumers' attitudes and intention to use O2O mobile commerce. A research model was developed using the Technology Acceptance Model (TAM). A mobile survey was conducted through smartphone messengers and SNSs targeting male and female college students in their 20s who are living in the Seoul Metropolitan Area. A total of 192 questionnaire responses were used in the analysis. "Among the consumer characteristics, only enjoyment and expected values were found to make consumers feel that the O2O fashion mobile commerce is useful and easy to use. Among the mobile commerce characteristics, only convenience was found to have significant effects on consumers' perceived usefulness and ease of use regarding O2O fashion mobile commerce. Perceived usefulness was found to have the effects on attitudes as well as intention to use toward O2O mobile commerce. It was shown that positive attitudes toward O2O mobile commerce led to positive use intention toward O2O mobile commerce.

Keywords

References

  1. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247. https://doi.org/10.2307/249577
  2. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-692. https://doi.org/10.2307/3250951
  3. Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215. https://doi.org/10.1287/isre.9.2.204
  4. Ajzen, I., & Madden, T. J. (1986). Prediction of Goal-directed Behavior: Attitudes, Intentions and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22(5), 453-474. https://doi.org/10.1016/0022-1031(86)90045-4
  5. Ahn, S.-K., & Ryou, E. (2017). The effect of mobile fashion shopping characteristics on relationship quality. Journal of Fashion Business, 21(1), 99-111. doi:10.12940/jfb.2017.21.1.99
  6. Cheong, J.-H., & Park, M. C. (2005). Mobile Internet acceptance in Korea, Internet Research, 15(2), 125-140. https://doi.org/10.1108/10662240510590324
  7. Chi, Y., Kang, M., Han, K. (2015). AN empirical study on consumers' discontinuance intentions towards O2O commerce. The Journal of Internet Electronic Commerce Research, 15(4), 223-245
  8. Choi, H. (2009). A study on the factors which affect the usage intention of mobile shopping (Unpublished master's thesis). Hanyang University, Seoul, Korea.
  9. Curty, R. G., & Zhang, P. (2013). Website Features That Gave Rise to Social Commerce: A Historical Analysis. Electronic Commerce Research and Applications, 12(4), 260-279. doi:10.1016/j.elerap.2013.04.001
  10. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  11. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
  12. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  13. Durlacher Research (1999). Mobile Commerce Report. Retrieved from http://www.durlancher.com
  14. Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior (8th ed.). New York: Dryder.
  15. Galloway, J. J., & Meek, F. L. (1981). Audience uses and gratifications: An expectancy model. Communication Research, 8, 435-449. https://doi.org/10.1177/009365028100800403
  16. Hickey, K. (Jan 6, 2015). Moving e-commerce offline. Retrieved from http://www.forbes.com
  17. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. The Journal of Marketing, 60(3), 50-68. https://doi.org/10.2307/1251841
  18. Kang, T.-J. (2013). A study of factors affecting the adoption intention of mobile shopping.. Journalism & Communication, 17(4), 5-33.
  19. Korea Internet & Security Agency (KISA) (2017). The 2016 Survey on Internet Usage. Retrieved May 2, 2017, from www.kisa.or.kr
  20. Korea Internet & Security Agency (KISA) (2016). The 2015 Survey on Internet Usage. Retrieved June 15, 2016, from www.kisa.or.kr
  21. Kim, J.-H. (2010). (A) study on the acceptance intention for smart phone: using an extended TAM (Unpublished master's thesis). Konkuk University, Seoul, Korea.
  22. Kline, P. (2000). The handbook of psychological testing(2nd ed.). London: Routledge.
  23. Korea Chain Store Association (2016). Distribution Company Yearbook. Seoul: Korea Chain Store Association.
  24. Lee, S. H., Lee, U. O., & Yu, J. P. (2011). Antecedents of purchase intention toward fashion T-commerce: Application of technology acceptance model. Journal of Consumer Studies, 22(1), 93-115.
  25. Moon, J. W., & Kim, Y. G.(2001). Extending the TAM for a World Wide Web context. Information and Management, 38, 217-230. doi:10.1016/S0378-7206(00)00061-6
  26. Na, Y. (2012). The effect of consumer characteristics and TTF on the acceptance of fashion mobile commerce. Journal of Fashion Business, 16(4), 46-63. doi:10.12940/jfb.2012.16.4.046
  27. Ostlund, L. E. (1974). Perceived innovation attributes as predictors of innovativeness. Journal of Consumer Research, 1(2), 23-29. https://doi.org/10.1086/208587
  28. Rampell, A. (Aug 7, 2010). Why Online2Offline commerce is a trillion dollar opportunity. Retrieved August 28, 2016 from https://techcrunch.com
  29. Rogers E. M. (2005). Diffusions of innovations (5th ed.). New York: Eats & Units Free Press.
  30. Shin, S., & Lee, E. (2014). Preceding factors in the effect of QR code characteristics on consumer's purchasing intention for mobile marketing in fashion business. Journal of Fashion Business, 18(2), 80-94. doi:10.12940/jfb.2014.18.2.80
  31. Siau, K., Lim, E. P., & Shen, Z. (2001). Mobile commerce: Promises, challenges and research agenda. Journal of Database Marketing, 12(3), 4-13.
  32. Shiau, W. L., & Luo, M. M. (2010). Continuance intention of blog users: The impact of perceived enjoyment and user involvement. PACIS, 85-96.
  33. Son, Y.-J. (2007). An effect of technology acceptance of e-business service on use intention: Focusing on mobile banking service. International Commerce and Information Review 9(2), 87-101.
  34. Taylor, S., & Todd, P (1995).Understanding information technology usage: A test of competing models. Information systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
  35. Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. International Journal of Management Science, 27, 25-37.
  36. Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & management 41 (6), 747-762. doi:10.1016/j.im.2003.08.011
  37. Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729. doi:10.1016/j.im.2004.07.001