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Health Risks, Fatigue, and Loyalty in Food Delivery Apps: The Moderating Power of Nutrition Disclosure and Chatbots
1Department of Tourism Administration, Kangwon National University, Chuncheon 24341, Republic of Korea.
Abstract:
The healthiness of food can become a weakness of food delivery app services. Hence, this research aims to examine the relationships among health risk, fatigue, loyalty, nutrition disclosure, and chatbot information in the context of food delivery apps. In particular, this study investigates the moderating roles of nutrition disclosure and chatbot information on the effect of health risk on fatigue, using information overload as the theoretical underpinning. Data were collected through an online survey on the Clickworker platform, with 364 valid responses from consumers in the U.S. market. This study employed Hayes's PROCESS Macro Model 7 to test the research hypotheses. The results indicate that loyalty is significantly affected by both health risk and fatigue. Furthermore, the findings demonstrate significant moderating effects of nutrition disclosure and chatbot information on the relationship between health risk and fatigue. This study contributes to the literature by elucidating the associations among the five constructs and additionally provides important managerial implications.
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