SHAH, Sayed Kifayat, YUAN, Jingbo, TAJEDDINI, Kayhan, GAMAGE, Thilini Chathurika, OLÁH, Judit and ACEVEDO-DUQUE, Ángel (2025). Exploring the intention–behavior gap in food delivery applications: a digital transformation perspective in smart tourism. British Food Journal. [Article]
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Tajeddini-ExploringTheIntention( AM ).pdf - Accepted Version
Available under License Creative Commons Attribution.
Tajeddini-ExploringTheIntention( AM ).pdf - Accepted Version
Available under License Creative Commons Attribution.
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Abstract
Purpose
Integrating modern food technologies within the tourism sector improves the pleasures, convenience and involvement of travelers. Central to this advancement is AI-powered food applications (AI-PFDA), which are vital in driving this shift. However, the adoption of AI-PFDA is impeded by the gap between travelers’ usage intention (UI) and their actual usage behavior (UB), a phenomenon that has received limited scholarly attention in recent years.Design/methodology/approach
To address the identified disparity, this study introduces a theoretical model based on self-determination theory, cognitive dissonance theory and mere exposure theory. The proposed model was tested using data collected from a questionnaire administered to 305 tourists in China, employing partial least squares structural equation modeling and necessary conditions analysis techniques.Findings
Our findings demonstrate a significant partial mediating effect of perceived autonomy, competence and relatedness, a positive moderating effect of mere exposure and a negative moderating effect of reference price on the relationship between UI and UB.Originality/value
This research enriches the current literature and assists policymakers in developing measures to mitigate the intention–behavior gap in adopting AI-PFDA within the framework of smart tourism.More Information
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