생방송 전자상거래 쇼핑에 대한 소비자의 지속적인 사용 의지 연구
A Study on Consumers' Continuance Intention in Live Streaming E-commerce Shopping
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초록
The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.
Abstract
The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.
참고문헌 (46)
- Xia, Y., "Live-streaming e-commerce: Management challenges and potential research directions", China Management Science, pp.1~16 (2023)[DOI]
- Liu, P., "The influence mechanism of live-streaming marketing on consumer purchase decisions", China Retail Economics, 34(10), pp.38~47 (2020)[DOI]
- Apiradee Wongkitrungrueng, "The role of live streaming in building consumer trust and engagement with social commerce sellers", Journal of Business Research, 117, pp.543~556 (2020), Elsevier BV[DOI]
- Anol Bhattacherjee, "Understanding Information Systems Continuance: An Expectation-Confirmation Model", MIS Quarterly, 25(3), pp.351~ (2001), JSTOR[DOI]
- Shin, D. H., "Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities", Interacting with Computers, 20, pp.433~446 (2008), Oxford University Press (OUP)[DOI]
- Yan, A., "An empirical study of factors influencing the continued use intention of electronic resources in university libraries", Library Forum, 33(3), pp.43~50 (2013)
- Pan, L., "Study on the continued use intention of tourism apps in the context of smart tourism", Tourism Tribune, 31(11), pp.65~73 (2016)[DOI]
- Huang, B., "Research on the influencing factors of continuous usage intention of mobile social apps", Modern Information, 42(12), pp.57~64 (2016)[DOI]
- Li, Y., "Research on users' continuous usage intention and willingness to pay for online education platforms", Doctoral, pp.2016
- Venkatesh, "User Acceptance of Information Technology: Toward a Unified View", MIS Quarterly, 27(3), pp.425~ (2003), JSTOR[DOI]
- Venkatesh, "Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology", MIS Quarterly, 36(1), pp.157~ (2012), JSTOR[DOI]
- Li, S., "UTAUT and its application and prospects in information systems research", Modern Information, 40(10), pp.168~177 (2020)[DOI]
- Héctor San Martín, "Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework", Tourism Management, 33(2), pp.341~350 (2012), Elsevier BV[DOI]
- Nripendra P. Rana, "Adoption of online public grievance redressal system in India: Toward developing a unified view", Computers in Human Behavior, 59, pp.265~282 (2016), Elsevier BV[DOI]
- Dong-Hee Shin, "Towards an understanding of the consumer acceptance of mobile wallet", Computers in Human Behavior, 25(6), pp.1343~1354 (2009), Elsevier BV[DOI]
- Ahmad Abu-Al-Aish, "Factors influencing students’ acceptance of m-learning: An investigation in higher education", The International Review of Research in Open and Distributed Learning, 14(5), pp.82~107 (2013), Athabasca University Press[DOI]
- Richard L. Oliver, "A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions", Journal of Marketing Research, 17(4), pp.460~469 (1980), SAGE Publications[DOI]
- Wang, M., "Research on the influencing factors of video website user stickiness based on ECT theory and FLOW theory : A case study of Bilibili", Theory and Practice, 7(1), pp.80~92 (2021)[DOI]
- Deng, W., "Influencing factors of consumers'continuous use of community group buying", Journal of South-Central University for Nationalities, 42(12), pp.144~152 (2022)[DOI]
- Wu, X., "Research on academic users' continuous usage intention of mobile visual search: An empirical analysis based on UTAUT2-ECT integrated model", Journal of Information (2023)[DOI]
- Yang, F., "Modeling and empirical study on the influencing factors of e-book users' intention to use,", Library and Information Service, 64(9), pp.85~94 (2020)[DOI]
- Fred D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, 13(3), pp.319~ (1989), JSTOR[DOI]
- Ronald L. Thompson, "Personal Computing: Toward a Conceptual Model of Utilization", MIS Quarterly, 15(1), pp.125~ (1991), JSTOR[DOI]
- Cui, Z., "Research on the antecedent mechanism of sustained and stable development of sharing economy : A case study of life service-sharing economy", Economic Issues,, 2, pp.59~68 (2022)[DOI]
- Mazen El-Masri, "Erratum to: Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)", Educational Technology Research and Development, 65(3), pp.765~767 (2017), Springer Science and Business Media LLC[DOI]
- Shupei Yuan, "Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model", Telemedicine and e-Health, 21(9), pp.735~741 (2015), Mary Ann Liebert Inc[DOI]
- Ali Abdallah Alalwan, "Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse", International Journal of Information Management, 50, pp.28~44 (2020), Elsevier BV[DOI]
- Zeng, J., "Study on the acceptance of mobile language learning users based on the UTAUT2 model", Foreign Language Electronic Teaching, 190, pp.16~24 (2019)
- Bas Verplanken, "Reflections on Past Behavior: A Self-Report Index of Habit Strength", Journal of Applied Social Psychology, 33(6), pp.1313~1330 (2003), Wiley[DOI]
- Gefen, "Trust and TAM in Online Shopping: An Integrated Model", MIS Quarterly, 27(1), pp.51~ (2003), JSTOR[DOI]
- Zhang, M., "Exploring the influencing factors of sustained use of short video apps and their implications for public governance in this field", Modern Information, 40(3), pp.65~73 (2020)
- Liu, Z., "Research on the influencing factors of continuous intention to use mobile shopping in the B2C environment : Based on the expectation-confirmation model", Business and Economics Research, 17, pp.49~52 (2017)
- Wang, W., "An empirical study on consumers'continuous use of emerging online travel websites : The mediating role of customer satisfaction and trust", Journal of Jinan University (Philosophy and Social Sciences Edition), 36(4), pp.84~92 (2014)
- Dong-Hee Shin, "Smartphones as smart pedagogical tools: Implications for smartphones as u-learning devices", Computers in Human Behavior, 27(6), pp.2207~2214 (2011), Elsevier BV[DOI]
- He, D., "An empirical analysis of rural residents'acceptance of mobile information services", China Rural Economy, 1, pp.70~81 (2009)
- He, H., "Analysis and research on influencing factors of internet medical patient satisfaction", Packaging Engineering, 42(22), pp.204~211 (2021)[DOI]
- Fred D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, 13(3), pp.319~ (1989), JSTOR[DOI]
- Taylor, S., "Understanding information technology usage: A test of competing models", Information Systems Research, 6(2), pp.144~176 (1995)
- Ming-Chi Lee, "Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model", Computers & Education, 54(2), pp.506~516 (2010), Elsevier BV[DOI]
- James C. Anderson, "Structural equation modeling in practice: A review and recommended two-step approach.", Psychological Bulletin, 103(3), pp.411~423 (1988), American Psychological Association (APA)[DOI]
- Tang, D., "Common method bias test : Issues and suggestions", Psychological Science, 43(1), pp.215~223 (2020)[DOI]
- Wornchanok Chaiyasoonthorn, "Users' Acceptance of Online Literature Databases in a Thai University", International Journal of Information Systems in the Service Sector, 10(1), pp.54~70 (2018), IGI Global[DOI]
- Soyeon Shim, "An online prepurchase intentions model: The role of intention to search", Journal of Retailing, 77(3), pp.397~416 (2001), Elsevier BV[DOI]
- Chang, Y., "Research on the influence of live broadcasting of agricultural products on consumers' purchasing intention: An analysis based on the transmission effect of perceived value and perceived risk", Price Theory and Practice, (7), pp.1~4 (2022)[DOI]
- Yang, G., "Research on the influencing factors of MOOC users'continuous use behavior", Open Education Research, 22(1), pp.100~111 (2016)[DOI]
- Fan, Z., "Analysis of the influence of perceived usefulness and ease of use on users' intention to use mobile visual search behavior", Library and Information Service, 41(1), pp.79~86 (2020)[DOI]
