 Trust in humanoid robots in footwear stores: A large-N crisp-set qualitative comparative analysis (csQCA) modelC.S. Song, Y.-K. Kim, B.W. Jo and S.-h. Park Journal of Business Research, 2022, vol. 152, issue C, 251-264 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. Keywords: Artificial intelligence; CASA; Robot; Service; Trust; QCA (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:152:y:2022:i:c:p:251-264 DOI: 10.1016/j.jbusres.2022.07.012 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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