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Articles

Chinese consumers’ adoption intention toward smart closet: a perspective of psychological needs and motivations

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Pages 86-96 | Received 26 Sep 2022, Accepted 15 Aug 2023, Published online: 22 Aug 2023

References

  • Al-Omar, N. N., Al-Rashed, N. M., Al-Fantoukh, H. I., al-Osaimi, R. M., Al-Dayel, A.-H. A., & Mostefai, S. (2013). The design and development of a web-based virtual closet: The smart closet project. Journal of Advanced Management Science, 1(1), 124–128.
  • Bang, H., & Su, J. (2022). Who uses virtual wardrobes? Investigating the role of consumer traits in the intention to adopt virtual wardrobes. Sustainability, 14(3), 1209.
  • Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741–752.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132.
  • Deci, E. L., & Ryan, R. M. (1985). Cognitive evaluation theory: Perceived causality and perceived competence. In Intrinsic motivation and self-determination in human behavior (pp. 43–85). Boston, MA: Springer.
  • Deci, E. L., & Ryan, R. M. (2000). The “what” and” why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.
  • FashionUnited. (2022). Global fashion industry statistics. Retrieved from https://fashionunited.com/global-fashion-industry-statistics.
  • Gilal, F. G., Zhang, J., Paul, J., & Gilal, N. G. (2019). The role of self-determination theory in marketing science: An integrative review and agenda for research. European Management Journal, 37(1), 29–44.
  • Gutman, J., & Mills, M. K. (1982). Fashion life-style, self-concept, shopping orientation, and store patronage-an integrative analysis. Journal of Retailing, 58(2), 64–86.
  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Pearson Prentice Hall.
  • Haluk Koksal, M. (2014). Psychological and behavioural drivers of male fashion leadership. Asia Pacific Journal of Marketing and Logistics, 26(3), 430–449.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
  • Hsieh, S. H., & Chang, A. (2016). The psychological mechanism of brand co-creation engagement. Journal of Interactive Marketing, 33(1), 13–26.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
  • Kautish, P., & Sharma, R. (2018). Consumer values, fashion consciousness and behavioural intentions in the online fashion retail sector. International Journal of Retail & Distribution Management, 46(10), 894–914.
  • Kim, J., Jin Ma, Y., & Park, J. (2009). Are US consumers ready to adopt mobile technology for fashion goods? An integrated theoretical approach. Journal of Fashion Marketing and Management: An International Journal, 13(2), 215–230.
  • Kim, J., Park, J., & Glovinsky, P. L. (2018). Customer involvement, fashion consciousness, and loyalty for fast-fashion retailers. Journal of Fashion Marketing and Management: An International Journal, 22(3), 301–316.
  • Lee, J., Kim, J., & Choi, J. Y. (2019). The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties. Telematics and Informatics, 39, 37–48.
  • Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095–1104.
  • Lee, Y., Lee, J., & Hwang, Y. (2015). Relating motivation to information and communication technology acceptance: Self-determination theory perspective. Computers in Human Behavior, 51, 418–428.
  • Li, A., & Xu, Y. (2020). A study of Chinese consumers’ adoption behaviour toward virtual fitting rooms. International Journal of Fashion Design, Technology and Education, 13(2), 140–149.
  • Li, S. S., & Karahanna, E. (2015). Online recommendation systems in a B2C E-commerce context: A review and future directions. Journal of the Association for Information Systems, 16(2), 72–107.
  • Li, Y., & Hu, W. (2014). The conceptual design of” smart closet”. Fashion Consultant Expert System. International Journal of Business and Social Science, 5(10), 149–154.
  • Liang, Y., Lee, S. H., & Workman, J. E. (2020). Implementation of artificial intelligence in fashion: Are consumers ready? Clothing and Textiles Research Journal, 38(1), 3–18.
  • Loo, L. (2018). The best 6 closet & outfit planning apps reviewed. Retrieved from https://thelaurieloo.com/blog/ultimate-closet-app-roundup.
  • Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81–95.
  • Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217–230.
  • Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Integrating acceptance and motivational factors into a combined model of self-determination theory and technology acceptance. Computers in Human Behavior, 68, 83–95.
  • Park, J. S., Ha, S., & Jeong, S. W. (2021). Consumer acceptance of self-service technologies in fashion retail stores. Journal of Fashion Marketing and Management: An International Journal, 25(2), 371–388.
  • Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592–605.
  • Perry, A. (2016). Consumers’ acceptance of smart virtual closets. Journal of Retailing and Consumer Services, 33, 171–177.
  • Perry, A. (2017). Factors that influence consumers’ purchase intention of smart closets. International Journal of Fashion Design, Technology and Education, 10(1), 91–100.
  • Pe-Than, E. P. P., Goh, D. H. L., & Lee, C. S. (2014). Making work fun: Investigating antecedents of perceived enjoyment in human computation games for information sharing. Computers in Human Behavior, 39, 88–99.
  • Pinder, C. C. (1976). Additivity versus nonadditivity of intrinsic and extrinsic incentives: Implications for work motivation, performance, and attitudes. Journal of Applied Psychology, 61(6), 693–700.
  • Racero, F. J., Bueno, S., & Gallego, M. D. (2020). Predicting students’ behavioral intention to use open source software: A combined view of the technology acceptance model and self-determination theory. Applied Sciences, 10(8), 2711.
  • Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585–1604.
  • Roshitsh, K. (2019). Digital wardrobe’ app lessons: Women's wear daily women's wear daily. Retrieved from https://proxying.lib.ncsu.edu/index.php/login?url=https://search.proquest.com/docview/2245433598?accountid=12725.
  • Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.
  • Scott, W. E., Jr., Farh, J. L., & Podsakoff, P. M. (1988). The effects of “intrinsic” and “extrinsic” reinforcement contingencies on task behavior. Organizational Behavior and Human Decision Processes, 41(3), 405–425.
  • Soltani Nejad, N., Rastegar, R., & Jahanshahi, M. (2022). Tourist engagement with mobile apps of E-leisure: A combined model of self-determination theory and technology acceptance model. Tourism Recreation Research, 1–12.
  • Sørebø, Ø, Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology. Computers & Education, 53(4), 1177–1187.
  • Sproles, G. B., & Kendall, E. L. (1986). A methodology for profiling consumers’ decision-making styles. Journal of Consumer Affairs, 20(2), 267–279.
  • Talaat, R. M. (2022). Fashion consciousness, materialism and fashion clothing purchase involvement of young fashion consumers in Egypt: The mediation role of materialism. Journal of Humanities and Applied Social Sciences, 4(2), 132–154.
  • Tao, Q., & Xu, Y. (2020). Consumer adoption of fashion subscription retailing: Antecedents and moderating factors. International Journal of Fashion Design, Technology and Education, 13(1), 78–88.
  • Ulises. (2021). Best outfit planner applications for 2021. Retrieved from https://www.bigkittylabs.com/blog/best-outfit-planner-applications-for-2021/.
  • 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.
  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.
  • Vlachopoulos, S. P., & Michailidou, S. (2006). Development and initial validation of a measure of autonomy, competence, and relatedness in exercise: The basic psychological needs in exercise scale. Measurement in Physical Education and Exercise Science, 10(3), 179–201.
  • Wan, F., Youn, S., & Fang, T. (2001). Passionate surfers in image-driven consumer culture: Fashion-conscious, appearance-savvy people and their way of life. Advances in Consumer Research, 28(1), 266–274.
  • Wang, X., & Li, Y. (2017). How trust and need satisfaction motivate producing user-generated content. Journal of Computer Information Systems, 57(1), 49–57.

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