Loading...
Examining human interactions with smart retail technology : A hybrid SEM- fsQCA investigation
Fazal-e-Hasan, Syed Muhammad Mortimer, Gary Adapa, Sujana Adil, Mohd. Makam, Sathyaprakash Balaji Sadiq, Mohd Amrollahi, Ali R.
Fazal-e-Hasan, Syed Muhammad
Mortimer, Gary
Adapa, Sujana
Adil, Mohd.
Makam, Sathyaprakash Balaji
Sadiq, Mohd
Amrollahi, Ali R.
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.
Keywords
smart retail technology, human interaction, consumer perceptions, value, perceived risk
Date
2025
Type
Journal article
Journal
International Journal of Human-Computer Interaction
Book
Volume
41
Issue
8
Page Range
4541-4551
Article Number
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open
Notes
© 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.