IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v63y2021ics0969698921002939.html
   My bibliography  Save this article

Predictors of consumers’ willingness to share personal information with fashion sales robots

Author

Listed:
  • Song, Christina Soyoung
  • Kim, Youn-Kyung

Abstract

This study investigates whether consumers' self-interests and social interactions predict their willingness to share their personal information with a fashion sales robot. The study develops hypotheses based upon the information sharing theory and tests them by building a decision tree predictive model. Using a video stimulus of a fashion sales robot, we conduct interviews, pretests, and main data collection (n = 464) in the United States. The results indicate that service quality, enjoyment, and usefulness, which reflect self-interest, and trust, which reflects social interaction, predict consumers’ willingness to share personal information with the robots. These results suggest that fashion marketers should focus strategically on service quality and enjoyment when they adopt AI sales robots and use them as a medium to share information in customer service.

Suggested Citation

  • Song, Christina Soyoung & Kim, Youn-Kyung, 2021. "Predictors of consumers’ willingness to share personal information with fashion sales robots," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:joreco:v:63:y:2021:i:c:s0969698921002939
    DOI: 10.1016/j.jretconser.2021.102727
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698921002939
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2021.102727?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stock, Ruth & Nguyen, Mai Anh, 2019. "Robotic Psychology. What Do We Know about Human-Robot Interaction and What Do We Still Need to Learn?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118838, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. So Young Song & Youn-Kyung Kim, 2018. "Theory of Virtue Ethics: Do Consumers’ Good Traits Predict Their Socially Responsible Consumption?," Journal of Business Ethics, Springer, vol. 152(4), pages 1159-1175, November.
    3. Hoyer, Wayne D. & Kroschke, Mirja & Schmitt, Bernd & Kraume, Karsten & Shankar, Venkatesh, 2020. "Transforming the Customer Experience Through New Technologies," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 57-71.
    4. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Poushneh, Atieh, 2021. "Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    6. So Young Song & Youn-Kyung Kim, 2018. "A Human-Centered Approach to Green Apparel Advertising: Decision Tree Predictive Modeling of Consumer Choice," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    7. David Constant & Sara Kiesler & Lee Sproull, 1994. "What's Mine Is Ours, or Is It? A Study of Attitudes about Information Sharing," Information Systems Research, INFORMS, vol. 5(4), pages 400-421, December.
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Cuicui & Li, Yiyang & Fu, Weizhong & Jin, Jia, 2023. "Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    3. Urbonavicius, Sigitas, 2023. "Relative power of online buyers in regard to a store: How it encourages them to disclose their personal data?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Niculescu Miruna & Pelau Corina & Pop Stefana, 2022. "Social appreciation of the interaction with an anthropomorphic robot," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1475-1482, August.

    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. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    2. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    3. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    4. Lu, Hsi-Peng & Cheng, Hsiang-Ling & Tzou, Jen-Chuen & Chen, Chiao-Shan, 2023. "Technology roadmap of AI applications in the retail industry," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    5. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    6. Eliza Nichifor & Adrian Trifan & Elena Mihaela Nechifor, 2021. "Artificial Intelligence in Electronic Commerce: Basic Chatbots and Consumer Journey," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-87, February.
    7. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    8. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    9. So Young Song & Youn-Kyung Kim, 2019. "Doing Good Better: Impure Altruism in Green Apparel Advertising," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    10. Aw, Eugene Cheng-Xi & Tan, Garry Wei-Han & Cham, Tat-Huei & Raman, Ramakrishnan & Ooi, Keng-Boon, 2022. "Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    11. Wang, Yawei & Kang, Qi & Zhou, Shoujiang & Dong, Yuanyuan & Liu, Junqi, 2022. "The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    12. Dogerlioglu-Demir, Kivilcim & Ng, Andy H. & Koçaş, Cenk, 2023. "Gracefully yours: Would snap judgments of one's subtle graceful movements lead to inferences about their emotional intelligence?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    13. Huang, Yu-Shan (Sandy) & Dootson, Paula, 2022. "Chatbots and service failure: When does it lead to customer aggression," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    14. Yang, Hongyan & Xu, Hong & Zhang, Yan & Liang, Yan & Lyu, Ting, 2022. "Exploring the effect of humor in robot failure," Annals of Tourism Research, Elsevier, vol. 95(C).
    15. Song, C.S. & Kim, Y.-K. & Jo, B.W. & Park, S.-h., 2022. "Trust in humanoid robots in footwear stores: A large-N crisp-set qualitative comparative analysis (csQCA) model," Journal of Business Research, Elsevier, vol. 152(C), pages 251-264.
    16. Tran, Anh D. & Pallant, Jason I. & Johnson, Lester W., 2021. "Exploring the impact of chatbots on consumer sentiment and expectations in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    17. Song, Mengmeng & Xing, Xinyu & Duan, Yucong & Cohen, Jason & Mou, Jian, 2022. "Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    18. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    19. Lingxiang Jian & Shuxuan Guo & Shengqing Yu, 2023. "Effect of Artificial Intelligence on the Development of China’s Wholesale and Retail Trade," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    20. Liu, Chih-Hsing & Dong, Tse-Ping & Vu, Ho Tran, 2023. "Transformed virtual concepts into reality: Linkage the viewpoint of entrepreneurial passion, technology adoption propensity and advantage to usage intention," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).

    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:eee:joreco:v:63:y:2021:i:c:s0969698921002939. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.