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Trust in humanoid robots in footwear stores: A large-N crisp-set qualitative comparative analysis (csQCA) model

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  • Song, C.S.
  • Kim, Y.-K.
  • Jo, B.W.
  • Park, S.-h.

Abstract

Based upon Computers-Are-Social-Actors and Social Exchange theories, this study investigated causal configurations of Human-Robot Trust (HRT), social intelligence, and retail assistance performance of humanoid robots that may increase consumers’ intention to visit a footwear store. A pretest and main study (n = 455) were conducted with a video-based stimulus. Using Crist-Set Qualitative Comparative Analysis (csQCA), the study took a holistic approach to the emerging topic of humanoid robots, and proposed a QCA-based conceptual framework. The results revealed that consumers will always demonstrate a strong intention to visit a robot-operated store when the configurations of HRT and retail assistance performance or HRT and social intelligence are present (sufficient conditions). Most importantly, consumers will never demonstrate a strong intention to visit the store in the absence of HRT (necessary condition). This study serves as an example of new alternative analytical methods, such as large-N csQCA applications, to traditional multivariate analyses.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jbrese:v:152:y:2022:i:c:p:251-264
    DOI: 10.1016/j.jbusres.2022.07.012
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    References listed on IDEAS

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    1. Brengman, Malaika & De Gauquier, Laurens & Willems, Kim & Vanderborght, Bram, 2021. "From stopping to shopping: An observational study comparing a humanoid service robot with a tablet service kiosk to attract and convert shoppers," Journal of Business Research, Elsevier, vol. 134(C), pages 263-274.
    2. Roig-Tierno, Norat & Alcázar, Joaquín & Ribeiro-Navarrete, Samuel, 2015. "Use of infrastructures to support innovative entrepreneurship and business growth," Journal of Business Research, Elsevier, vol. 68(11), pages 2290-2294.
    3. 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.
    4. Seo Young Kim & Bernd H. Schmitt & Nadia M. Thalmann, 2019. "Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking," Marketing Letters, Springer, vol. 30(1), pages 1-12, March.
    5. Hultman, Magnus & Kazeminia, Azadeh & Ghasemi, Vahid, 2015. "Intention to visit and willingness to pay premium for ecotourism: The impact of attitude, materialism, and motivation," Journal of Business Research, Elsevier, vol. 68(9), pages 1854-1861.
    6. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    7. Civera, Chiara & Cortese, Damiano & Mosca, Fabrizio & Murdock, Alex, 2020. "Paradoxes and strategies in social enterprises’ dual logics enactment: A csQCA between Italy and the United Kingdom," Journal of Business Research, Elsevier, vol. 115(C), pages 334-347.
    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. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    10. 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).
    11. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
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