The Effect of Big Data-based Fashion Shopping Applications on App Users' Continuous Usage Intention
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초록
The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users’ perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user’s expectation confirmation also significantly affected the users’ continuous usage intention.
Abstract
The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users’ perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user’s expectation confirmation also significantly affected the users’ continuous usage intention.
참고문헌 (29)
- Agarwal, R., "Time flies when you're having fun: cognitive absorption and beliefs about information technology usage", MIS Quarterly, 24(4), pp.665~692 (2000)[DOI]
- Bae, E, "A study on perceived value and user satisfaction and intention to reuse corresponding to characteristic factors in mobile fashion application :Focusing on consumer innovation and smart phone lifestyle", doctor, pp.2010
- "Zara’s recipe for success: More data, fewer bosses" (2017)[URL]
- Bhattacherjee, A., "Understanding information systems continuance: An expectation-confirmation model", MIS Quarterly, 25(3), pp.351~370 (2001)[DOI]
- Chen, L., "Enticing online consumers: an extended technology acceptance perspective", Information and Management, 39(8), pp.705~719 (2002)[DOI]
- Clarke, I., "Emerging value propositions for M-commerce", Journal of Business Strategies, 18(2), pp.133~149 (2001)
- Davis, F., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)[DOI]
- Davis, F. D, "User acceptance of computer technology: A comparison of two theoretical models", Management Science, 35(8), pp.982~1003 (1989)[DOI]
- Davis, F. D., "Extrinsic and Intrinsic Motivation to Use Computers in the Workplace", Journal of Applied Social Psychology, 22(14), pp.1111~1132 (1992)[DOI]
- "Extracting value from chaos" (2011)[URL]
- Hong, S. B., "A study on the mobile fashion commerce characteristics and consumer groups according to purchase intention", master, pp.2013
- Hsu, C, "What drives purchase intention for paid mobile apps? An expectation confirmation model with perceived value", Electronic Commerce Research and Applications, 14(1), pp.46~57 (2015)[DOI]
- Jang, Y. J., "경영학콘서트" (2012), The Business Books Publishing
- Jung, S. Y, "The effect of mobile shopping user experience on satisfaction and continuous usage intention: Focusing on smartphone users", Master, pp.2014
- Kim, S.-Y, "(A) Study on model of fashion application, 'Style By Me'", master, pp.2011
- 김은동, "사용자 특성에 따른 모바일 콘텐츠 만족도에 영향을 미치는 콘텐츠 품질요인의 차이 분석", 한국산학기술학회논문지, 14(4), pp.1957~1968 (2013), 한국산학기술학회[DOI]
- 김춘연, "모바일 패션 쇼핑 특성, 지각된 유용성과 즐거움, 구매의도의 관계 -사용용이성의 매개효과-", 한국의류학회지, 39(2), pp.161~174 (2015), 한국의류학회
- 김예리, "브랜드 이미지에 영향을 미치는 어플리케이션 특성 요인에 관한 분석 : 백화점 어플리케이션을 중심으로", 한국콘텐츠학회 논문지, 11(8), pp.102~111 (2011), 한국콘텐츠학회
- Kline, P., "The handbook of psychological testing" (2000), Routledge
- Lee, E. K, "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", master, pp.2007
- Lee, M. J, "Mobile shopping motives and fashion application attribute importance", master, pp.2012
- "Big data: The next frontier for innovation, competition, and productivity" (2011)[URL]
- Nysveen, H, "Explaining intention to use mobile chat services: Moderating effects of gender", Information Systems Research, 13(3), pp.296~315 (2005)[DOI]
- Oliver, R., "A cognitive model of the antecedents and consequences of satisfaction decision", Journal of Marketing Research, 17(4), pp.460~469 (1980)[DOI]
- Park, E. H, "The effect of characteristics of mobile fashion application on satisfaction and continuous usage intention", master, pp.2016
- 1월 온라인쇼핑 동향, "Statistiacs Korea", Statistic Korea, ~ (2018)
- 성희원, "패션 앱을 이용한 모바일 쇼핑 태도 및 사용의도 영향요인 연구-성별과 연령집단별 차이 비교-", 한국의류학회지, 37(7), pp.1000~1014 (2013), 한국의류학회
- Thong, J. Y. L., "The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance", International Journal of Human-Computer Studies, 64(9), pp.799~810 (2006)[DOI]
- Zhao Liang, "Effects of Fashion Company’s Marketing Activities Using Micro-blogging Services on Chinese Consumer’s Attitude toward Company and Purchase Intention", 패션 비즈니스, 18(6), pp.157~173 (2014), 한국패션비즈니스학회[DOI]