DOI QR코드

DOI QR Code

The Effect of Mobile Fashion Shopping Characteristics on Consumer's Purchase Intention - Applying the Technology Acceptance Model -

모바일 패션 쇼핑 특성이 소비자의 구매의도에 미치는 영향 - 기술수용모델(Technology Acceptance Model)을 적용 -

  • Chae, Jin Mie (Major in Apparel Fashion & Business, Hansung University)
  • 채진미 (한성대학교 의류패션산업 전공)
  • Received : 2015.12.01
  • Accepted : 2016.02.05
  • Published : 2016.02.28

Abstract

This research analyzes the influence of mobile commerce characteristics on consumer's purchase intention using a theoretical Technology Acceptance Model (TAM) constructed on previous studies and a review of the literature to explain the effect of mobile fashion shopping characteristics on consumer's purchase intention. In constructing structural equation model, Mobile commerce characteristics variables such as 'security', 'enjoyment', and 'personalization' were selected as external variables affecting TAM. A questionnaire was distributed to consumers in their 20's-30's who had purchased fashion products using a mobile shopping channel. Statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using Amos 19.0 package were employed for the analysis of 453 effective data responses. The results were as follows. First, extended TAM was shown be the appropriate model to explain the influence of mobile commerce characteristics on consumer's purchase intention in mobile fashion shopping. Second, 'security' had a significant positive influence on perceived usefulness (PU), however it affected perceived ease of use (PEOU) negatively. Third, 'enjoyment' had a significant influence only on PEOU, while 'personalization' was found to affect both PEOU and PU significantly. Fourth, PEOU affected PU significantly. Finally, both PEOU and PU had a significant influence on consumer's purchase intention.

Keywords

References

  1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. doi:10.2307/3250951
  2. Bae, G. S. (2004). A study on the factors which affect the intention to users in using mobile commerce in the view of technology acceptance model. Unpublished master's thesis, Sookmyung Women's University, Seoul.
  3. Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58(5), 553-558. doi:10.1016/j.jbusres.2003.08.002
  4. Chang, C. M., Kim, J. U., & Kim, T. U. (2004). Factors influencing mobile internet service acceptance: Extension of technology acceptance model using the flow theory. Asia Pacific Journal of Information Systems, 14(3), 93-120. https://doi.org/10.1111/j.1365-2575.2004.00165.x
  5. Chae, J. M. (2015). The effect of perceived mobile commerce characteristics on consumers' purchase intentions according to consumer group based on fashion shopping orientation. Korea Science & Art Forum, 20(6), 441-453. doi:10.17548/ksaf.2015.06.20.441
  6. Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information & Management, 39(8), 705-719. doi:10.1016/S0378-7206(01)00127-6
  7. Choi, H. (2009). A study on the factors which affect the usage intention of mobile shopping. Unpublished master's thesis, Hanyang University, Seoul.
  8. Choi, S. G. (2004). A study on the factors which affect the purchase intention in mobile commerce: Focusing on the technology acceptance model and perceived system security. Unpublished master's thesis, Konkuk University, Seoul.
  9. Chung, K. S., & Lee, W. B. (2008). Factors influencing on behavior intention for mobile commerce. The Journal of Information Systems, 17(3), 153-174. doi:10.5859/KAIS.2008.17.3.153
  10. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-340. doi:10.2307/249008
  11. 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. doi:10.1287/mnsc.35.8.982
  12. Hong, S. B. (2013). A study on the mobile fashion commerce characteristics and consumer groups according to purchase intention. Unpublished master's thesis. Ewha Womans University, Seoul.
  13. Hwang, H. J., Ko, I. S., & Park, K. H. (2009). Electronic commerce & e-business (3rd ed.). Seoul: Kyungmoonsa.
  14. Jung, W. J. (2012). The effects of usability of mobile shopping malls on customer's intention to buy. Korea Journal of Business Administration, 25(3), 1769-1791.
  15. Kang, Y. S. (2005). The effects of the site characteristics and the customer characteristics of internet shopping malls on perceived risks and purchase intention. Unpublished doctoral dissertation, Kookmin University, Seoul.
  16. Kim, C. Y. (2012). The effect of shopping quality and shopping value on purchase intention in mobile fashion shopping. Unpublished master's thesis, Konkuk University, Seoul.
  17. Kim, C. Y., Hwang, J. S., & Cho, J. J. (2015). Relationships among mobile fashion shopping characteristics, perceived usefulness, perceived enjoyment, and purchase intention: Mediating effect of ease of use. Journal of the Korean Society of Clothing and Textiles, 39(2), 161-174. doi:10.5850/JKSCT.2015.39.2.161
  18. Kim, D. W., Lee, T. M., & Kang, M. S. (2003). A study on the effects of perceived risk and perceived quality on the mobile-commerce adoption: An extension to the technology acceptance model. Korea Journal of Business Administration, 35, 171-193.
  19. Kim, G. S. (2004). Analysis structural equation modeling. Seoul: Datasolution.
  20. Kim, K. D., Yu, Y. M., & Kim, J. L. (2013). A study on the influence of mobile commerce characteristics perception on mobile shopping intentions. The Journal of The Institute of Internet, Broadcasting and Communication, 13(6), 297-303. doi:10.7236/JIIBC.2013.13.6.297
  21. Kim, H. Y., & Kim, J. W. (2002). An empirical research on important factors of mobile internet usage. Asia Pacific Journal of Information Systems, 12(3), 89-113.
  22. Kim, J. H., & Shin, Y. S. (2005). The effects of mobile internet service characters on consumer's satisfaction and reuse intention. Proceedings of the Korean Scholars of Marketing Science, Summer Conference, Korea, pp. 1-12.
  23. Kim, M. J. (2009). The study of the effects of factors on the attitude and the using intention of mobile fashion shopping: Focused on 20's-30's female. The Research Journal of the Costume Culture, 17(4), 709-722. https://doi.org/10.29049/rjcc.2009.17.4.709
  24. Kim, M. J., & Shin, S. Y. (2014). Effects of mobile fashion shopping characteristics on perceived usefulness, perceived ease of use, purchase attitude, and purchase intention of mobile fashion shopping mall: Focusing on smartphone users. The Research Journal of the Costume Culture, 22(2), 240-257. doi:10.7741/rjcc.2014.22.2.240
  25. Ko, E. J., Kim, K. H., & Kim, S. S. (2009). A study on the introduction of mobile fashion shopping mall: Focusing on the characteristics of brands. Journal of the Korean Society of Clothing and Textiles, 33(7), 1164-1179. doi:10.5850/JKSCT.2009.33.7.1164
  26. Korea Chamber of Commerce & Industry. (2015). 2015년 유통산업 백서 [2015 Distribution Industry White Paper]. Retrieved May 13, 2014, from http://www.korcham.net/FileWebKorcham/PublishData/File/ECON_book2015.pdf
  27. Korea Internet & Security Agency. (2015). 2014년 모바일인터넷이용실태조사 [2014 Survey on the Mobile Internet Usage]. Retrieved May 13, 2014, from http://isis.kisa.or.kr/board/index.jsp?pageId=040100&bbsId=7&itemId=806&pageIndex=1
  28. Lee, E. K. (2007). A study on the effect of mobile fashion shopping characteristics and perceived risk on perceived value and purchase intention: Focusing on personal innovation and mobile internet lifestyle. Unpublished master's thesis, Yonsei University, Seoul.
  29. Lee, T. M., & Jun, J. K. (2004). A study on the effects of ubiquitous connectivity and contextual offer on the mobile-commerce adoption: An extension of the technology acceptance model. Korean Management Review, 33(4), 1043-1071.
  30. Min, C. H. (2007). A study on the analysis of critical factors affecting the user adoption in mobile-commerce. Unpublished doctoral dissertation, Soongsil University, Seoul.
  31. Muller-Veerse, F. (1999). Mobile commerce report. London: Durlacher Research Ltd.
  32. Noh, M. J. (2006). An empirical study on the factors influencing the user acceptance of mobile services. Unpublished doctoral dissertation, Kyungpook National University, Daegu.
  33. Roh, H. J. (2003). SPSS/AMOS에 의한 사회조사분석: 범주형 데이터분석 및 공분산 구조분석 [Social research analysis by SPSS/AMOS]. Seoul: Hyungseul.
  34. Ruth, C. J. (2000). Applying a modified technology acceptance model to determine factors affecting behavioral intentions to adopt electronic shopping on the world wide web: A structural equation modeling approach. Unpublished doctoral dissertation, Drexel University, Philadelphia.
  35. Siau, K., Lim, E. P., & Shen, Z. (2001). Mobile commerce: Promises, challenges, and research agenda. Journal of Database Management, 12(3), 4-13. doi:10.4018/jdm.2001070101
  36. Statistics Korea. (2015). 2014년 4/4분기 및 연간 온라인쇼핑동향 [Online Shopping in the Fourth Quarter and in 2014]. Retrieved May 13, 2014, from http://kostat.go.kr/portal/korea/kor_nw/3/index.board?bmode=read&aSeq=333423
  37. Sung, H. W. (2013). A study on the determinants of attitude toward and intention to use mobile shopping through fashion apps: Comparisons of gender and age group differences. Journal of the Korean Society of Clothing and Textiles, 37(7), 1000-1014. doi:10.5850/JKSCT.2013.37.7.1000
  38. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. doi:10.1287/isre.11.4.342.11872
  39. Yun, S. U. (2004). The study on the acceptance decision factor of the mobile internet. Korean Journal of Journalism & Communication Studies, 48(3), 274-301.