The penetration of mobile devices has reshaped consumers’ shopping journeys, drawing the attention of both scholars and practitioners. Over the last two decades, a rich strand of empirical studies across disciplines has been conducted on the factors underlying mobile shopping behavior. We provide and test a comprehensive framework for both the key drivers of consumers’ initial adoption and the continuance intention to use mobile devices for purchasing. To achieve this goal, we conduct a meta-analysis, in which we integrate the findings from the literature and apply a structural equation modeling approach. Our work builds on the existing theories (Technology Acceptance Model, Theory of Planned Behavior, and Unified Theory of Acceptance and Use of Technology) and offers an extensive understanding of the variables that shape mobile shopping behavior. Based on 207 articles, with 228 studies, 4,354 effect sizes, a total sample size of 68,944 shoppers, our findings show that mobile shopping is influenced by variables that reflect the evolution of technological innovations and the consequent improvement of the functionality and convenience of mobile devices (previous digital experience and ubiquity). Managerially, based on these findings, we provide a future research agenda and the key implications for firms to develop for a successful marketing strategy throughout the mobile customer journey. Companies should focus on both utilitarian and hedonic variables to stimulate the intention to use the mobile for the first time. In addition, to increase continuance intention to use mobile for shopping, they improve customer satisfaction, through enjoyment and the three dimensions of quality of the mobile channel.

What drives consumers to shop on mobile devices? Insights from a Meta-Analysis / Luceri, B.; Bijmolt T. H. A., (Tammo); Bellini, S.; Aiolfi, S.. - In: JOURNAL OF RETAILING. - ISSN 0022-4359. - 98:1(2022), pp. 178-196. [10.1016/j.jretai.2022.02.002]

What drives consumers to shop on mobile devices? Insights from a Meta-Analysis

Luceri B.;Bellini S.;Aiolfi S.
2022

Abstract

The penetration of mobile devices has reshaped consumers’ shopping journeys, drawing the attention of both scholars and practitioners. Over the last two decades, a rich strand of empirical studies across disciplines has been conducted on the factors underlying mobile shopping behavior. We provide and test a comprehensive framework for both the key drivers of consumers’ initial adoption and the continuance intention to use mobile devices for purchasing. To achieve this goal, we conduct a meta-analysis, in which we integrate the findings from the literature and apply a structural equation modeling approach. Our work builds on the existing theories (Technology Acceptance Model, Theory of Planned Behavior, and Unified Theory of Acceptance and Use of Technology) and offers an extensive understanding of the variables that shape mobile shopping behavior. Based on 207 articles, with 228 studies, 4,354 effect sizes, a total sample size of 68,944 shoppers, our findings show that mobile shopping is influenced by variables that reflect the evolution of technological innovations and the consequent improvement of the functionality and convenience of mobile devices (previous digital experience and ubiquity). Managerially, based on these findings, we provide a future research agenda and the key implications for firms to develop for a successful marketing strategy throughout the mobile customer journey. Companies should focus on both utilitarian and hedonic variables to stimulate the intention to use the mobile for the first time. In addition, to increase continuance intention to use mobile for shopping, they improve customer satisfaction, through enjoyment and the three dimensions of quality of the mobile channel.
What drives consumers to shop on mobile devices? Insights from a Meta-Analysis / Luceri, B.; Bijmolt T. H. A., (Tammo); Bellini, S.; Aiolfi, S.. - In: JOURNAL OF RETAILING. - ISSN 0022-4359. - 98:1(2022), pp. 178-196. [10.1016/j.jretai.2022.02.002]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2922358
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