참고문헌
- Toner, M. M., Sawka, M. N., Foley, M. E., & Pandolf, K. B. (1986). Effects of body mass and morphology on thermal responses in water. Journal of Applied Physiology, 60(2), 521-525. https://doi.org/10.1063/1.337441
- Ajzen, I., & Fishbein, M. (1980).Understanding attitudes and predicting social behavior. Englewood Cliff, NJ: Prentice-Hall.
- Armstrong, J. S., & Overton, T. S. (1977). Estimation nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. https://doi.org/10.2307/3150783
- Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
- Balabanis, G., & Reynolds, N. L. (2001). Consumer attitudes towards multichannel retailer's websites: The role of involvement, brand attitude, internet knowledge and visit duration. Journal of Business Strategies, 18(2), 105-129.
- Ball-Rokeach, S. J., & DeFleur, M. L. (1976). A dependency model of mass media effects. Communication Research, 3(1), 3-21. https://doi.org/10.1177/009365027600300101
- Binge, E., Ruiz, C., & Sanz, S. (2007). Key drivers of mobile commerce adoption: An exploratory study of Spanish mobile users. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 48-60.
- Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systemsand Humans, 30(4), 411-420. https://doi.org/10.1109/3468.852435
- Bruner II, G, C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58(5), 553-558. https://doi.org/10.1016/j.jbusres.2003.08.002
- Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information and Management, 39(8), 705-719. https://doi.org/10.1016/S0378-7206(01)00127-6
- Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information and Management, 46(4), 241-248. https://doi.org/10.1016/j.im.2009.03.001
- Cheong, J. H., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research: Electronic Networking Applications and Policy, 15(2), 125-140. https://doi.org/10.1108/10662240510590324
- Constantiou, I. D., Damsgaard, J., & Knutsen, L. (2006). Exploring perceptions and use of mobile services: User differences in an advancing market. International Journal of Mobile Communications, 4(3), 231-247. https://doi.org/10.1504/IJMC.2006.008940
- Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychology Bulletin, 52, 281-302. https://doi.org/10.1037/h0040957
- 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
- Dillman, D. A. (2007). Mail and internet surveys: The tailored design method (2nd ed.). New York: John Wiley and Sons.
- Frattaroli, M. (2009). Compete blog: Cross-channel retail-what are online customers doing today? RetailWire. Retrieved April 3, 2010, from http://www.retailwire.com/Discussions/Sngl_Discussion.cfm/13922
- Fornell, C., & Larcker D. F. (1981). Evaluating structural equation models with unobservable variables and measurement models. Journal of Marketing Research, 18(1),39-50. https://doi.org/10.2307/3151312
- Grant, A. E., Guthrie, K. K., & Ball-Rokeach, S. J. (1991). Television shopping: A media system dependency perspective. Communication Research, 18(6), 773-798. https://doi.org/10.1177/009365091018006004
- Hair, J. F., Tatham, R. L., Anderson R. E., & Black, W. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice-Hall
- Hung, S. Y., Chang, C. M., & Yu, T. J. (2006). Determinantsof user acceptance of the e-government services: The case of online tax filing and payment system. Government Information Quarterly, 23(1), 97-122. https://doi.org/10.1016/j.giq.2005.11.005
- IANS. (2010, February 16). Five billion people to use cell phones in 2010: UN. Thaindian News. Retrieved April 1, 2011, from http://www.thaindian.com/newsportal/sci-tech/five-billion-people-to-use-cell-phones-in-2010-un_100320649.html
- Kim, J. H., Ma, Y. J., & Park, J. H. (2009). Are U. S. consumers ready to adopt mobile technology for fashion goods? An integrated theoretical approach. Journal of Fashion Marketing and Management, 13(2), 215-230. https://doi.org/10.1108/13612020910957725
- Kim, J. H., & Park, J. H. (2005). A consumer shopping channel extension model: Attitude shift toward the online retailer. Journal of Fashion Marketing and Management,9(1), 106-121. https://doi.org/10.1108/13612020510586433
- Ko, E. J., Kim, E. Y., & Lee, E. K. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology and Marketing, 26(7), 669-687. https://doi.org/10.1002/mar.20294
- Kulviwat, S., Bruner, G. C. II, Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance of technology. Psychology and Marketing, 24(12), 1067-1092.
- Lee, H. H., & Kim, J. H. (2010). Investigating dimensionality of multichannel retailer's cross-channel integration practices and effectiveness: Shopping orientation and loyalty intention. Journal of Marketing Channels, 17(4), 281-312. https://doi.org/10.1080/1046669X.2010.512859
- Lee, H. H., & Lee, S. E. (2007). Mobile commerce: An analysis of key success factors. Journal of Shopping Center Research, 14(2), 29-62.
- Lee, H. H., & Lee, S. E. (2010). Internet vs. mobile services: Comparisons of gender and ethnicity. Journal of Research in Interactive Marketing, 4(4), 346-375. https://doi.org/10.1108/17505931011092835
- Li, W., & McQueen, R. J. (2008). Barriers to mobile commerce adoption: An analysis framework for a country-level perspective. International Journal of Mobile Communication, 6(2), 231-257. https://doi.org/10.1504/IJMC.2008.016579
- Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research: Electronic Networking Applications and Policy, 13(3), 206-222. https://doi.org/10.1108/10662240310478222
- Mallata, N., Rossia, M., Tuunainen, V. K., & Oorni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information and Managementm, 46(3), 190-195. https://doi.org/10.1016/j.im.2008.11.008
- Moorman, J. (2009). Industry surveys: Telecommunications, wireless. New York: Standard & Poor's Industry surveys.
- Mort, G. S., & Drennan, J. (2002). Mobile digital technology: Emerging issues for marketing. Journal of Database Marketing, 10(1), 9-23. https://doi.org/10.1057/palgrave.jdm.3240090
- Murphy, S. (2007). Getting iReady. Chain Store Age, 83(8), 84.
- Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005a). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346. https://doi.org/10.1177/0092070305276149
- Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005b). Explaining intention to use mobile chat services: Moderating effects of gender. Journal of Consumer Marketing, 22(5), 247-256. https://doi.org/10.1108/07363760510611671
- Pentina, I., & Hasty, R. W. (2009). Effects of multichannel coordination and e-commerce outsourcing on online retail performance. Journal of Marketing Channels, 16(4), 359-374. https://doi.org/10.1080/10466690903188021
- Premkumar, G., Ramamurthy, K., & Liu, H. N. (2008). Internetmessaging: An examination of the impact of attitudinal, normative, and control belief systems. Information and Management, 45(7), 451-457. https://doi.org/10.1016/j.im.2008.06.008
- Rangaswamy, A., & Van Bruggen, G. H. (2005). Opportunities and challenges in multichannel marketing: An in-troduction to the special issue. Journal of Interactive Marketing, 19(2), 5-11. https://doi.org/10.1002/dir.20037
- Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). NewYork, NY: Free Press.
- Shankar, V., & Winer, R. S. (2005). Interactive marketing goes multichannel. Journal of Interactive Marketing, 19(2), 2-3. https://doi.org/10.1002/dir.20038
- Shao, Y. P. (1999). Expert systems diffusion in British banking: Diffusion models and media factor. Information and Management, 35(1), 1-8. https://doi.org/10.1016/S0378-7206(98)00071-8
- Skumanich, S. A., & Kintsfather, D. P. (1998). Individual media dependency relations within television shopping programming: A causal model reviewed and revised. Communication Research, 25(2), 200-219. https://doi.org/10.1177/009365098025002004
- Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65-78.
- Taylor, S., & Todd, P. A. (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
- Vijayasarathy, L. R. (2004). Predictong consumer intentions to use on-line shopping: The case for and augmented technology acceptance model. Information and Management, 41(6), 747-762.
- Vollmer, C. (2008). Always on: Advertising, marketing and media in an era of consumer control. New York: McGraw-Hill.
- Wakefield, K. L., & Baker, J. (1998). Excitement at the mall: Determinants and effects on shopping response. Journal of Retailing, 74(4), 515-539. https://doi.org/10.1016/S0022-4359(99)80106-7
- Wei, R., Xiaoming, H., & Pan, J. (2010). Examining user behavioral response to SMS ads: Implications for the evolution of the mobile phone as a bona-fide medium. Telematics and Informations, 27(1), 32-41. https://doi.org/10.1016/j.tele.2009.03.005
- Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719-729. https://doi.org/10.1016/j.im.2004.07.001
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- Under the sway of a mobile device during an in-store shopping experience vol.34, pp.7, 2017, https://doi.org/10.1002/mar.21019
- Salient antecedents of mobile shopping intentions: Media dependency, fashion/brand interest and peer influence vol.4, pp.4, 2013, https://doi.org/10.1080/20932685.2013.817140