Ani Kartikasari, David L. Dean, M. Rombach, D. Suhartanto
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引用次数: 0
Abstract
In 2020, during the early stages of the coronavirus pandemic, New Zealand's online food delivery (OFD) services saw a marked increase in popularity. New Zealand had received worldwide praise for their approach to fight Covid-19, and online businesses were important contributors, allowing the food service industry to remain viable in the face of severe restrictions. OFD research has found that the determinants of customer loyalty, such as consumer satisfaction, trust, and value are well established and largely depend on food quality, e-service quality, and OFD-service providers not being associated with COVID-19 transmission. The present study aims to fill a research gap and investigate new predictors such as OFD discomfort and proactive COVID-19 strategies, in addition to confirming well-established ones such as sociodemographic factors, perceived infection risk, perceived value, satisfaction, and trust. The Partial Least Square Structural Equation Modeling (PLS-SEM) analysis reveals that age is the only significant sociodemographic factor influencing pro-active COVID-19 strategies. While trust and perceived value are positively affected by consumers committed to proactively counteract Covid-19;satisfaction and ultimately loyalty, are positively affected by trust only. Best practice recommendations for marketing managers and OFD service providers are presented. [ FROM AUTHOR] Copyright of Journal of Foodservice Business Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
期刊介绍:
The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment.