MZ세대의 인터넷 자기 효능감이 명품 패션플랫폼 이용의도에 미치는 영향 - 확장된 통합기술수용모델의 새로운 외생 메커니즘을 중심으로 -
A Study on the Effect of the Internet Self-Efficacy of Generation MZ on Use Intention of Luxury Fashion Platform - Focusing on the New Exogenous Mechanism of Extended UTAUT -
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This study aims to confirm which factors related to technology acceptance affect generation MZ's use of luxury fashion platforms. For this purpose, Internet self-efficacy and technology readiness were added as new exogenous and moderating variables using extended UTAUT. Then, performance expectancy, effort expectancy, social influence, and facil- itating condition as a factor of UTAUT were set as mediating factors. Response data were collected through questionnaires for generation MZ with experience in using luxury fashion platforms, and a factor analysis, reliability analysis, correlation analysis, and path analysis were conducted using the SPSS and AMOS statistical programs. According to the results, the Internet self-efficacy of generation MZ significantly affected on performance expectancy, effort expectancy, social influ- ence, and facilitating conditions on the luxury fashion platform. Moreover, performance expectancy and social influence had a significant effect on the use intention of luxury fashion platforms, but effort expectancy and facilitating condition did not have a significant effect on use intention and use behavior. Additionally, as the moderating effect of technology read- iness affects only the relationship between social influence and behavioral intention, it was confirmed that social influence is an important variable with the characteristics of MZ consumers. Therefore, it is deemed necessary to recognize the importance of social influence when trying to use new technologies targeting generation MZ in the fashion industry.
Abstract
This study aims to confirm which factors related to technology acceptance affect generation MZ's use of luxury fashion platforms. For this purpose, Internet self-efficacy and technology readiness were added as new exogenous and moderating variables using extended UTAUT. Then, performance expectancy, effort expectancy, social influence, and facil- itating condition as a factor of UTAUT were set as mediating factors. Response data were collected through questionnaires for generation MZ with experience in using luxury fashion platforms, and a factor analysis, reliability analysis, correlation analysis, and path analysis were conducted using the SPSS and AMOS statistical programs. According to the results, the Internet self-efficacy of generation MZ significantly affected on performance expectancy, effort expectancy, social influ- ence, and facilitating conditions on the luxury fashion platform. Moreover, performance expectancy and social influence had a significant effect on the use intention of luxury fashion platforms, but effort expectancy and facilitating condition did not have a significant effect on use intention and use behavior. Additionally, as the moderating effect of technology read- iness affects only the relationship between social influence and behavioral intention, it was confirmed that social influence is an important variable with the characteristics of MZ consumers. Therefore, it is deemed necessary to recognize the importance of social influence when trying to use new technologies targeting generation MZ in the fashion industry.
참고문헌 (62)
- Bandura, A., "Self-efficacy - Toward unifying theory of behavior change", American Psychologist, 37, pp.122~147 (1977)[DOI]
- Albert Bandura, "Role of Affective Self-Regulatory Efficacy in Diverse Spheres of Psychosocial Functioning", Child Development, 74(3), pp.769~782 (2003), Wiley[DOI]
- Browne, M. W., "Alternative ways of assessing model fit", pp.136~162 (1993), Sage
- "럭럭셔리 시장을 이끄는 뉴럭셔리 비즈니스 트렌드" (2022)[URL]
- 정인구, "혁신제품 수용의향에 관한 연구: 통합기술수용이론, 기술준비도와 가치기반수용모델을 중심으로", 마케팅관리연구, 25(4), pp.89~121 (2020), 한국마케팅관리학회[DOI]
- Deborah R. Compeau, "Computer Self-Efficacy: Development of a Measure and Initial Test", MIS Quarterly, 19(2), pp.189~ (1995), JSTOR[DOI]
- "5 Brands that reveal the future of luxury online" (2018)[URL]
- Satyabhusan Dash, "The Role of Consumer Self-Efficacy and Website Social-Presence in Customers' Adoption of B2C Online Shopping", Journal of International Consumer Marketing, 20(2), pp.33~48 (2008), Informa UK Limited[DOI]
- "Digitize or die - Technology makes luxury brands more accessible" (2020)[URL]
- "Defining generations - Where millennials end and generation z begins" (2019)[URL]
- Matthew S. Eastin, "Internet Self-Efficacy and the Psychology of the Digital Divide", Journal of Computer-Mediated Communication, 6(1), pp.0~0 (2006), Oxford University Press (OUP)[DOI]
- (2021)[URL]
- "‘True gen’ - Generation Z and its implications for companies" (2018)[URL]
- "From the baby boomer to the post-millennial generations - 50 years of change"[URL]
- "Generation Z"[URL]
- Michael Glassman, "Intelligence in the internet age: The emergence and evolution of Open Source Intelligence (OSINT)", Computers in Human Behavior, 28(2), pp.673~682 (2012), Elsevier BV[DOI]
- Gunasinghe, A., "Does the lecturer’s innovativeness drive VLE adoption in higher education institutes?", Journal of Information Technology Management, 10(3), pp.20~42 (2018)[DOI]
- Yue Guo, "Purchase behavior in virtual worlds: An empirical investigation in Second Life", Information & Management, 48(7), pp.303~312 (2011), Elsevier BV[DOI]
- Hooper, D., "Structural equation modelling-Guidelines for determining model fit", The Electronic Journal of Business Research Methods, 6(1), pp.53~60 (2008)[DOI]
- Meng-Hsiang Hsu, "Internet self-efficacy and electronic service acceptance", Decision Support Systems, 38(3), pp.369~381 (2004), Elsevier BV[DOI]
- Li‐tze Hu, "Cutoffcriteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives", Structural Equation Modeling: A Multidisciplinary Journal, 6(1), pp.1~55 (1999), Informa UK Limited[DOI]
- "What is internet self-efficacy?" (2021)[URL]
- 장석준, "OTT서비스 및 플랫폼 특성이 만족도와 지속이용의도에 미치는 영향연구: MZ세대를 중심으로", 한국소통학보, 21(3), pp.71~114 (2022), 한국소통학회
- R. K. Jena, "Exploring Antecedents of Peoples' Intentions to Use Smart Services in a Smart City Environment: An Extended UTAUT Model", Journal of Information Systems, 36(1), pp.133~149 (2021), American Accounting Association[DOI]
- 정다운, "통합기술수용이론을 활용한 온라인 명품 플랫폼 소비자 행동 연구 - 확장된 UTAUT(2) 이론을 중심으로 -", 한국의류산업학회지, 24(4), pp.386~398 (2022), 한국의류산업학회
- Joyce, M., "Development of a general internet attitude scale and internet self-efficacy scale", 박사, pp.2013
- 강유림, "MZ세대의 라이프스타일 특성에 대한 탐색적 연구- 2010년~2020년의 논문을 중심으로 -", 한국의류산업학회지, 24(1), pp.81~94 (2022), 한국의류산업학회
- Kapferer, J. N., "The luxury strategy - Break the rules of marketing to build luxury brands" (2012), Kogan page publishers
- "온라인 명품 플랫폼으로 보는 소비 트렌드의 변화" (2021)[URL]
- Yunhwan Kim, "Beyond search and communication: Development and validation of the Internet Self-efficacy Scale (ISS)", Computers in Human Behavior, 29(4), pp.1421~1429 (2013), Elsevier BV[DOI]
- 이호배, "인터넷 쇼핑에서 인터넷 자기효능감의 역할", 아시아마케팅저널, 8(2), pp.27~62 (2006), 한국마케팅학회
- 이종숙, "MZ세대의 YouTube 기반 뷰티건강정보 수용에 영향을 미치는 요인 : 기술준비수용모델 적용을 중심으로", 대한미용학회지, 16(4), pp.367~375 (2020), 대한미용학회[DOI]
- 이상헌, "통합기술수용이론(UTAUT) 기반 옴니채널 서비스의 사용자 수용과 동인이 이용의도에 미치는 영향 연구: 혁신성과 자기효능감의 조절 효과를 중심으로", 인터넷전자상거래연구, 21(2), pp.1~34 (2021), 한국인터넷전자상거래학회[DOI]
- Jiunn-Woei Lian, "Online shopping drivers and barriers for older adults: Age and gender differences", Computers in Human Behavior, 37, pp.133~143 (2014), Elsevier BV[DOI]
- Veronica Liljander, "Technology readiness and the evaluation and adoption of self-service technologies", Journal of Retailing and Consumer Services, 13(3), pp.177~191 (2006), Elsevier BV[DOI]
- Robert C. MacCallum, "Power analysis and determination of sample size for covariance structure modeling.", Psychological Methods, 1(2), pp.130~149 (1996), American Psychological Association (APA)[DOI]
- "Generation Z news - Latest characteristics, research, and facts" (2022)[URL]
- "Millennials"[URL]
- "Validation of the online technologies self-efficacy scale (OTSES)" (2000)[URL]
- "Why so many luxury brands are terrible at ecommerce" (2022)[URL]
- A. Parasuraman, "Technology Readiness Index (Tri)", Journal of Service Research, 2(4), pp.307~320 (2000), SAGE Publications[DOI]
- 박현희, "증강현실 패션 소매기술 특성의 소비자 사용효과에 관한 연구: 기술 준비도의 조절효과", 한국의류산업학회지, 21(6), pp.730~742 (2019), 한국의류산업학회[DOI]
- "세대별 온라인 소비행태 변화와 시사점" (2021)[URL]
- Roumeliotis, M., "Perception and adoption of technology based services by students of higher education", International Journal of Scientific and Research Publications, 4(3), pp.1~5 (2014)
- 송은영, "빅데이터 분석을 이용한 패션 플랫폼과 패션 스마트 팩토리에 대한 인식 연구", 한국의류산업학회지, 23(6), pp.799~809 (2021), 한국의류산업학회
- "Consumer markets - Luxury goods" (2022)[URL]
- "통계로 보는 MZ 세대 트렌드" (2020)[URL]
- Yuan Sun, "Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model", Electronic Markets, 24(1), pp.57~66 (2013), Springer Science and Business Media LLC[DOI]
- Kuttimani Tamilmani, "The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation", International Journal of Information Management, 57, pp.102269~ (2021), Elsevier BV[DOI]
- "The state of smooth - Unpacking luxury in 2022"[URL]
- Meng-Jung Tsai, "Information searching strategies in web-based science learning: the role of internet self-efficacy", Innovations in Education and Teaching International, 40(1), pp.43~50 (2003), Informa UK Limited[DOI]
- Tsai, C. C., "Self-efficacy on internet-based learning environment-A literature review", Journal of Educational Technology & Society, 14(4), pp.222~240 (2011)[DOI]
- Viswanath Venkatesh, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies", Management Science, 46(2), pp.186~204 (2000), Institute for Operations Research and the Management Sciences (INFORMS)[DOI]
- 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.157~178 (2012), JSTOR[DOI]
- Viswanath Venkatesh, "Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead", Journal of the Association for Information Systems, 17(5), pp.328~376 (2016), Association for Information Systems[DOI]
- Tao Wang, "Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study", Behaviour & Information Technology, 33(10), pp.1048~1064 (2013), Informa UK Limited[DOI]
- Yi-Shun Wang, "Developing and Validating an Instrument for Measuring Mobile Computing Self-Efficacy", CyberPsychology & Behavior, 11(4), pp.405~413 (2008), Mary Ann Liebert Inc[DOI]
- Chihiro Watanabe, "Amazon's New Supra-Omnichannel: Realizing Growing Seamless Switching for Apparel During COVID-19", Technology in Society, 66, pp.101645~ (2021), Elsevier BV[DOI]
- 신태용, "중국소비자의 유료온라인 동영상 서비스 이용의도 : 기술수용모델을 중심으로", 생활과학연구논총, 25(1), pp.1~21 (2021), 생활과학연구소[DOI]
- Yoo, S. J., "New fashion platform - Technology & connecting", Fashion Information and Technology, 12, pp.80~88 (2015)[DOI]
- Sun Joo Yoo, "The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea", Computers in Human Behavior, 28(3), pp.942~950 (2012), Elsevier BV[DOI]
