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Examining Human Interactions with Smart Retail Technology: A Hybrid SEM- fsQCA Investigation |
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| Author(s) |
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Fazal-e-Hasan, Syed Muhammad |
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Balaji Makam, Sathyaprakash |
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| DOI |
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10.1080/10447318.2024.2352213 |
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| Abstract |
As technologies evolve, businesses have focused on enhancing human interactions beyond simple satisfaction. This new research builds on recent exploratory work, responding to calls for testing antecedents and consequences of Smart Retail Technology (SRT) interactions. An online survey was administered to 338 respondents. In addition to structural equation modelling (SEM), fuzzy set Qualitative Comparative Analysis (fsQCA) was employed to identify value outcomes. Results demonstrate that the more individuals perceive a business’s technologies to be distinctive, the more likely they are to interact with those technologies. Respondents’ innovativeness was positively associated with their intentions to interact with SRT. The fsQCA outcomes offer an understanding of the types of individuals who perceive value through SRT interaction. Findings offer managerial implications and extend current knowledge about adopting interactive technologies. This is the first study to contribute a comprehensive SRT model that examines the inter-relationships between antecedents and consequences of interacting with SRT. |
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International Journal of Human–Computer Interaction, 41(8), p. 4541-4551 |
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Attribution 4.0 International |
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