IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11444-d1201084.html
   My bibliography  Save this article

Leveraging 4D Golf Apparel Wear Simulation in Online Shopping: A Promising Approach to Minimizing the Carbon Footprint

Author

Listed:
  • Doyeon Kong

    (Department of Human Centered Design, Cornell University, Ithaca, NY 14853, USA)

  • Yoo-Kyoung Seock

    (Department of Textiles, Merchandising and Interiors, University of Georgia, Athens, GA 30602, USA)

  • Steve Marschner

    (Department of Computer Science, Cornell University, Ithaca, NY 14853, USA)

  • Heeju Terry Park

    (Department of Human Centered Design, Cornell University, Ithaca, NY 14853, USA)

Abstract

As fashion e-commerce grows, the online return rates are running higher than ever before. Online customers buy the same product in multiple sizes or colors with the intention of returning what is not necessary as they are unable to have a tactile experience during their purchase. In terms of sustainability, returns have a huge negative impact on the environment, causing waste sent to landfills and carbon emissions. In the United States alone, over 15 million metric tons of carbon dioxide are annually emitted from transporting returned inventory. This study explored an innovative way to help reduce online returns due to fit and sizing issues using four-dimensional (4D) golf apparel wear simulation. The study observed how online customers reacted to an apparel wear simulation where they could see the body–clothing interactions, such as dynamic changes in the drape of a garment and cloth deformations caused by different body movements, with a focus on golf apparel. Female customers (n = 13) with experience playing golf and purchasing golf apparel online participated in randomized experiments where three different e-commerce demo websites embedded with simulations were shown. In-depth interviews were followed to collect qualitative data, and surveying was used to quantitatively assess the perceived usefulness of 4D golf apparel wear simulations. The findings of the study indicated that the wear simulation has the potential to help customers find the correct fit and size when shopping online. By exploring the idea of providing a more accurate representation of how apparel fits and interacts with the body, this study sheds light on the promising approach of leveraging 4D golf apparel wear simulations in online shopping to enhance sustainable fashion and potentially contribute to reducing the carbon footprint by minimizing returns.

Suggested Citation

  • Doyeon Kong & Yoo-Kyoung Seock & Steve Marschner & Heeju Terry Park, 2023. "Leveraging 4D Golf Apparel Wear Simulation in Online Shopping: A Promising Approach to Minimizing the Carbon Footprint," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11444-:d:1201084
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11444/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/14/11444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Citrin, Alka Varma & Stem, Donald Jr. & Spangenberg, Eric R. & Clark, Michael J., 2003. "Consumer need for tactile input: An internet retailing challenge," Journal of Business Research, Elsevier, vol. 56(11), pages 915-922, November.
    2. Carolina Bozzi & Marco Neves & Claudia Mont’Alvão, 2022. "Fashion E-Tail and the Impact of Returns: Mapping Processes and the Consumer Journey towards More Sustainable Practices," Sustainability, MDPI, vol. 14(9), pages 1-39, April.
    3. Kim, Hyejeong & Niehm, Linda S., 2009. "The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 221-233.
    4. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    5. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    6. Tsan-Ming Choi & Shu Guo, 2018. "Responsive supply in fashion mass customisation systems with consumer returns," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3409-3422, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ren, Minglun & Liu, Jiqiong & Feng, Shuai & Yang, Aifeng, 2021. "Pricing and return strategy of online retailers based on return insurance," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    2. Santiago Gallino & Antonio Moreno, 2018. "The Value of Fit Information in Online Retail: Evidence from a Randomized Field Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 767-787, October.
    3. Zhao, Lianxia & Guo, Wen & Fang, Shu-Cherng & An, Qi, 2024. "Enhancing supply chain coordination through transparency initiatives to mitigate product returns," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    4. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2021. "Return shipping insurance: Free versus for-a-fee?," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Necati Ertekin & Michael E. Ketzenberg & Gregory R. Heim, 2020. "Assessing Impacts of Store and Salesperson Dimensions of Retail Service Quality on Consumer Returns," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1232-1255, May.
    6. Xiaomin Zhao & Shuhui Hu & Xiaoxiao Meng, 2020. "Who should pay for return freight in the online retailing? Retailers or consumers," Electronic Commerce Research, Springer, vol. 20(2), pages 427-452, June.
    7. Yang, Hui & Chen, Jing & Chen, Xu & Chen, Bintong, 2017. "The impact of customer returns in a supply chain with a common retailer," European Journal of Operational Research, Elsevier, vol. 256(1), pages 139-150.
    8. Rosenbaum, Mark S. & Ramirez, Germán Contreras & Campbell, Jeffrey & Klaus, Philipp, 2021. "The product is me: Hyper-personalized consumer goods as unconventional luxury," Journal of Business Research, Elsevier, vol. 129(C), pages 446-454.
    9. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    10. Naixin Zhu, 2023. "Dissertation on Applied Microeconomics of Freemium Pricing Strategies in Mobile App Market," Papers 2305.09479, arXiv.org.
    11. Pereira, Hélia Gonçalves & Salgueiro, Maria de Fátima & Rita, Paulo, 2016. "Online purchase determinants of loyalty: The mediating effect of satisfaction in tourism," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 279-291.
    12. Khouja, Moutaz & Hammami, Ramzi, 2023. "Optimizing price, order quantity, and return policy in the presence of consumer opportunistic behavior for online retailers," European Journal of Operational Research, Elsevier, vol. 309(2), pages 683-703.
    13. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2023. "Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews," Journal of Business Research, Elsevier, vol. 156(C).
    14. Zhang, Kun & Choi, Tsan-Ming & Chung, Sai-Ho & Dai, Yue & Wen, Xin, 2024. "Blockchain adoption in retail operations: Stablecoins and traceability," European Journal of Operational Research, Elsevier, vol. 315(1), pages 147-160.
    15. Imschloss, Monika & Kuehnl, Christina, 2019. "Feel the Music! Exploring the Cross-modal Correspondence between Music and Haptic Perceptions of Softness," Journal of Retailing, Elsevier, vol. 95(4), pages 158-169.
    16. Ülkü, M. Ali & Gürler, Ülkü, 2018. "The impact of abusing return policies: A newsvendor model with opportunistic consumers," International Journal of Production Economics, Elsevier, vol. 203(C), pages 124-133.
    17. Wann-Yih Wu & Phan Thi Phu Quyen & Adriana A. Amaya Rivas, 2017. "How e-servicescapes affect customer online shopping intention: the moderating effects of gender and online purchasing experience," Information Systems and e-Business Management, Springer, vol. 15(3), pages 689-715, August.
    18. Jian Liu & Xinyue Sun & Yanyan Liu, 2022. "Products pricing and return strategies for the dual channel retailers," Operational Research, Springer, vol. 22(4), pages 3841-3867, September.
    19. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    20. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11444-:d:1201084. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.