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Regenerated Cellulose Fibers (RCFs) for Future Apparel Sustainability: Insights from the U.S. Consumers

Author

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  • Ting Chi

    (Department of Apparel, Merchandising, Design and Textiles, Washington State University, Pullman, WA 99164, USA)

  • Anastasia Frattali

    (Department of Apparel, Merchandising, Design and Textiles, Washington State University, Pullman, WA 99164, USA)

  • Hang Liu

    (Department of Apparel, Merchandising, Design and Textiles, Washington State University, Pullman, WA 99164, USA)

  • Yini Chen

    (Department of Apparel, Merchandising, Design and Textiles, Washington State University, Pullman, WA 99164, USA)

Abstract

An increasing number of apparel companies are inventing novel green technologies to produce regenerated cellulose fibers (RCFs) out of textile waste. RCF can significantly reduce virgin cotton production and decrease textile waste in incinerators or landfills. However, our knowledge on U.S. consumers’ willingness to purchase RCF-made apparel is still limited given its newness. To address the gap in the literature, this study aimed to identify the factors significantly influencing the U.S. consumers’ purchase intention toward RCF-made apparel. Building on the Theory of Planned Behavior (TPB), a research model including attitude, subjective norm, perceived behavioral control, perceived consumer effectiveness, and past environmental behavior as predictors was proposed to investigate the U.S. consumers’ intention to purchase RCF-made apparel. The primary data were collected by a Qualtrics survey of U.S. consumers. A total of 544 eligible responses were gathered for data analysis and hypothesis testing. The multiple regression method was applied for determining the proposed statistical relationships. Attitude, perceived consumer effectiveness, and past environmental behavior positively affect U.S. consumers’ purchase intention toward RCF-made apparel, while the effects of subjective norm and perceived behavior control are insignificant. Attitude plays a partial mediating role between past environmental behavior and purchase intention toward RCF-made apparel. A higher level of consumer environmental behavior leads to a more positive attitude toward and a greater likelihood to purchase RCF-made apparel. The proposed research model exhibits a good explanatory power, accounting for 64.8% of variance in U.S. consumers’ purchase intention toward RCF-made apparel.

Suggested Citation

  • Ting Chi & Anastasia Frattali & Hang Liu & Yini Chen, 2023. "Regenerated Cellulose Fibers (RCFs) for Future Apparel Sustainability: Insights from the U.S. Consumers," Sustainability, MDPI, vol. 15(6), pages 1-13, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5404-:d:1100891
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    References listed on IDEAS

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    1. Cho, Yoon-Na & Thyroff, Anastasia & Rapert, Molly I. & Park, Seong-Yeon & Lee, Hyun Ju, 2013. "To be or not to be green: Exploring individualism and collectivism as antecedents of environmental behavior," Journal of Business Research, Elsevier, vol. 66(8), pages 1052-1059.
    2. Chi, Ting, 2018. "Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 274-284.
    3. Mariadoss, Babu John & Chi, Ting & Tansuhaj, Patriya & Pomirleanu, Nadia, 2016. "Influences of Firm Orientations on Sustainable Supply Chain Management," Journal of Business Research, Elsevier, vol. 69(9), pages 3406-3414.
    4. Cornelissen, Gert & Pandelaere, Mario & Warlop, Luk & Dewitte, Siegfried, 2008. "Positive cueing: Promoting sustainable consumer behavior by cueing common environmental behaviors as environmental," International Journal of Research in Marketing, Elsevier, vol. 25(1), pages 46-55.
    5. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    6. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    7. Neil A. Morgan & Douglas W. Vorhies & Charlotte H. Mason, 2009. "Market orientation, marketing capabilities, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 30(8), pages 909-920, August.
    8. Kumar, Bipul, 2012. "Theory of Planned Behaviour Approach to Understand the Purchasing Behaviour for Environmentally Sustainable Products," IIMA Working Papers WP2012-12-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    9. Xingqiu Lou & Ting Chi & Justin Janke & Gianna Desch, 2022. "How Do Perceived Value and Risk Affect Purchase Intention toward Second-Hand Luxury Goods? An Empirical Study of U.S. Consumers," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    10. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    11. Chi, Ting & Sun, Yao, 2013. "Development of firm export market oriented behavior: Evidence from an emerging economy," International Business Review, Elsevier, vol. 22(1), pages 339-350.
    12. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    13. Lindsay McCoy & Ting Chi, 2022. "Collaborative Consumption: A Study of Sustainability Presentation in Fashion Rental Platforms," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    14. Ting Chi & Jenisha Gerard & Alison Dephillips & Hang Liu & Jing Sun, 2019. "Why U.S. Consumers Buy Sustainable Cotton Made Collegiate Apparel? A Study of the Key Determinants," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    15. Hye Jung Jung & Yun Jung Choi & Kyung Wha Oh, 2020. "Influencing Factors of Chinese Consumers’ Purchase Intention to Sustainable Apparel Products: Exploring Consumer “Attitude–Behavioral Intention” Gap," Sustainability, MDPI, vol. 12(5), pages 1-14, February.
    16. Lindsay McCoy & Yuan-Ting Wang & Ting Chi, 2021. "Why Is Collaborative Apparel Consumption Gaining Popularity? An Empirical Study of US Gen Z Consumers," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    17. Carla Rossi & Francesca Rivetti, 2020. "Assessing Young Consumers’ Responses to Sustainable Labels: Insights from a Factorial Experiment in Italy," Sustainability, MDPI, vol. 12(23), pages 1-23, December.
    18. Paulius Yamin & Maria Fei & Saadi Lahlou & Sara Levy, 2019. "Using Social Norms to Change Behavior and Increase Sustainability in the Real World: a Systematic Review of the Literature," Sustainability, MDPI, vol. 11(20), pages 1-41, October.
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    1. Weronika Wojdyla & Ting Chi, 2024. "Decoding the Fashion Quotient: An Empirical Study of Key Factors Influencing U.S. Generation Z’s Purchase Intention toward Fast Fashion," Sustainability, MDPI, vol. 16(12), pages 1-16, June.

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