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Relationships Among Perceived Value, Satisfaction, and e-Trust: An e-CRM View of Online Restaurant Consumption

Zhang Gang (), Wang Zongshui () and Zhao Hong ()
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Zhang Gang: School of Economics and Management, University of Chinese Academy of Sciences, Beijing100190, China
Wang Zongshui: School of Economics and Management, Beijing Information Science and Technology University, Beijing100192, China
Zhao Hong: Sino-Danish College, University of Chinese Academy of Sciences, Beijing100190, China

Journal of Systems Science and Information, 2020, vol. 8, issue 5, 458-475

Abstract: This paper aims to propose a new trend in research which integrates the online customer relationship management through the perspectives of perceived value, satisfaction, and e-trust regarding the online restaurant in Chinese e-CRM business backgrounds. This study constructs a structural equation model to analyze the online restaurant marketing with the research perspective of the relationships among perceived value, satisfaction and e-Trust, corresponding to the cognitive belief, affective experiences and cognitive behavior of e-CRM. This model proposes six hypotheses concerning the relationships among perceived value, satisfaction and e-trust, aiming to demonstrate the predominant factors affecting the online restaurant sales and further to have a better understanding of the customers’ preferences on placing orders and purchases in the online context. The results show that there is a series of connections among perceived value, satisfaction and e-trust, and most of them are important. First, the perceived value has an incentive effect on satisfaction, e-trust, and customers’ commitment to a relationship. Second, satisfaction has a positive impact on e-trust and leads to the commitment to a relationship. Third, e-trust positively affects the consumer commitment to a relationship. In addition, production quality, service quality and price fairness have a significant impact on the perceived value.

Keywords: perceived value; satisfaction; e-Trust; e-CRM; online restaurant consumption (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:8:y:2020:i:5:p:458-475:n:5

DOI: 10.21078/JSSI-2020-458-18

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