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Exploring the Consumer Acceptance of Nano Clothing Using a PLS-SEM Analysis

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  • Andreea-Ionela Puiu

    (Department of Applied Economics and Quantitative Analysis, Faculty of Business and Administration, University of Bucharest, 030018 Bucharest, Romania)

  • Rodica Ianole-Călin

    (Department of Applied Economics and Quantitative Analysis, Faculty of Business and Administration, University of Bucharest, 030018 Bucharest, Romania)

  • Elena Druică

    (Department of Applied Economics and Quantitative Analysis, Faculty of Business and Administration, University of Bucharest, 030018 Bucharest, Romania)

Abstract

We use an extended framework of the technology acceptance model (TAM) to identify the most significant drivers behind the intention to buy clothes produced with nano fabrics (nano clothing). Based on survey data, we estimate an integrated model that explains this intention as being driven by attitudes, perceived usefulness, and perceived ease of use. The influences of social innovativeness, relative advantage, compatibility, and ecologic concern on perceived usefulness are tested using perceived ease of use as a mediator. We employ a partial least squares path model in WarpPLS 7.0., a predictive technique that informs policies. The results show positive effects for all the studied relationships, with effect sizes underscoring perceived usefulness, attitude, and compatibility as the most suitable targets for practical interventions. Our study expands the TAM framework into the field of nano fashion consumption, shedding light on the potential drivers of the adoption process. Explorations of the topic hold the potential to make a substantial contribution to the promotion of sustainable fashion practices.

Suggested Citation

  • Andreea-Ionela Puiu & Rodica Ianole-Călin & Elena Druică, 2023. "Exploring the Consumer Acceptance of Nano Clothing Using a PLS-SEM Analysis," Stats, MDPI, vol. 6(4), pages 1-19, October.
    • Handle: RePEc:gam:jstats:v:6:y:2023:i:4:p:69-1113:d:1262817
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    References listed on IDEAS

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    1. Massoud Moslehpour & Van Kien Pham & Wing-Keung Wong & İsmail Bilgiçli, 2018. "e-Purchase Intention of Taiwanese Consumers: Sustainable Mediation of Perceived Usefulness and Perceived Ease of Use," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Alberta Bernardi & Chiara Luisa Cantù & Elena Cedrola, 2022. "Key success factors to be sustainable and innovative in the textile and fashion industry: Evidence from two Italian luxury brands," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 13(2), pages 116-133, April.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Bin Shen, 2014. "Sustainable Fashion Supply Chain: Lessons from H&M," Sustainability, MDPI, vol. 6(9), pages 1-14, September.
    6. Mijin Noh & Qin Li & Hyunhee Park, 2016. "An integration model for innovative products in Korea and China: bio-based smart clothing," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 21(1), pages 59-78.
    7. Pando-Garcia, Julián & Periañez-Cañadillas, Iñaki & Charterina, Jon, 2016. "Business simulation games with and without supervision: An analysis based on the TAM model," Journal of Business Research, Elsevier, vol. 69(5), pages 1731-1736.
    8. Yuen, Kum Fai & Chua, Jessana & Li, Kevin X. & Wang, Xueqin, 2022. "Consumer's adoption of virtual reality technologies for marine conservation: Motivational and technology acceptance perspectives," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    9. Baltar, Fabiola & Brunet Icart, Ignasi, 2012. "Social research 2.0: virtual snowball sampling method using Facebook," Nülan. Deposited Documents 1875, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    10. Stacy H. Lee & Ran Huang, 2020. "Exploring the Motives for Online Fashion Renting: Insights from Social Retailing to Sustainability," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    11. Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah Binti & Moeenizadeh, Leila, 2018. "Public opinion on renewable energy technologies and climate change in Peninsular Malaysia," Renewable Energy, Elsevier, vol. 116(PA), pages 659-668.
    12. Heshan Sun & Ping Zhang, 2008. "An exploration of affect factors and their role in user technology acceptance: Mediation and causality," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1252-1263, June.
    13. Elena Druică & Rodica Ianole-Călin & Andreea-Ionela Puiu, 2023. "When Less Is More: Understanding the Adoption of a Minimalist Lifestyle Using the Theory of Planned Behavior," Mathematics, MDPI, vol. 11(3), pages 1-18, January.
    14. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    15. Cosette M. Joyner Armstrong & Kim Y. Hiller Connell & Chunmin Lang & Mary Ruppert-Stroescu & Melody L. A. LeHew, 2016. "Educating for Sustainable Fashion: Using Clothing Acquisition Abstinence to Explore Sustainable Consumption and Life Beyond Growth," Journal of Consumer Policy, Springer, vol. 39(4), pages 417-439, December.
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