References
- 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
- 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
- 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
- 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
- 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
- Cheong, J.-H., & Park, M. C. (2005). Mobile Internet acceptance in Korea, Internet Research, 15(2), 125-140. https://doi.org/10.1108/10662240510590324
- 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
- Choi, H. (2009). A study on the factors which affect the usage intention of mobile shopping (Unpublished master's thesis). Hanyang University, Seoul, Korea.
- 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
- 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
- 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
- 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
- Durlacher Research (1999). Mobile Commerce Report. Retrieved from http://www.durlancher.com
- Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer behavior (8th ed.). New York: Dryder.
- 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
- Hickey, K. (Jan 6, 2015). Moving e-commerce offline. Retrieved from http://www.forbes.com
- 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
- Kang, T.-J. (2013). A study of factors affecting the adoption intention of mobile shopping.. Journalism & Communication, 17(4), 5-33.
- Korea Internet & Security Agency (KISA) (2017). The 2016 Survey on Internet Usage. Retrieved May 2, 2017, from www.kisa.or.kr
- Korea Internet & Security Agency (KISA) (2016). The 2015 Survey on Internet Usage. Retrieved June 15, 2016, from www.kisa.or.kr
- 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.
- Kline, P. (2000). The handbook of psychological testing(2nd ed.). London: Routledge.
- Korea Chain Store Association (2016). Distribution Company Yearbook. Seoul: Korea Chain Store Association.
- 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.
- 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
- 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
- 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
- Rampell, A. (Aug 7, 2010). Why Online2Offline commerce is a trillion dollar opportunity. Retrieved August 28, 2016 from https://techcrunch.com
- Rogers E. M. (2005). Diffusions of innovations (5th ed.). New York: Eats & Units Free Press.
- 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
- Siau, K., Lim, E. P., & Shen, Z. (2001). Mobile commerce: Promises, challenges and research agenda. Journal of Database Marketing, 12(3), 4-13.
- Shiau, W. L., & Luo, M. M. (2010). Continuance intention of blog users: The impact of perceived enjoyment and user involvement. PACIS, 85-96.
- 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.
- 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
- 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.
- 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
- 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