 Exploring information technology success of Augmented Reality Retail Applications in retail food chainCandy Lim Chiu, Han-Chiang Ho, Tiancheng Yu, Yijun Liu and Yuwen Mo Journal of Retailing and Consumer Services, 2021, vol. 61, issue C Abstract: Augmented reality retail applications (ARRAs) have emerged as rapidly developing innovative and futuristic retail innovation used in both physical store and online shops to improve the retail settings and customer experience. So, the objective of this research was to identify predictors of user benefits of ARRA in the retail food chain. By integrating the theory of information system success model, this study proposes a model to investigate the mediating effect of two values: (1) user satisfaction and (2) user continuance intention between quality perspective as explanatory variables (system, service, and information quality) and user benefits as the outcome variable. Both the mediating factors are found positively playing mediating roles among all proposed relationships. This paper provides valuable course of action for retailers and marketers on assessing customers satisfaction and using ARRA to create marketing strategies effectively. Keywords: Augmented reality; Mobile application; IS success Model; User satisfaction; Retail; Retail food chain (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:joreco:v:61:y:2021:i:c:s0969698921001272 DOI: 10.1016/j.jretconser.2021.102561 Access Statistics for this article Journal of Retailing and Consumer Services is currently edited by Harry Timmermans More articles in Journal of Retailing and Consumer Services from Elsevier |
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