Author:
Mannan Mahafuz,Chowdhury Nusrat,Sarker Priodorshine,Amir Riasat
Abstract
PurposeThe purpose of this study is to provide an insight into the crucial antecedents of customer satisfaction and revisit intention in the context of dining restaurants in a holistic approach, taking Bangladesh as a unit of analysis.Design/methodology/approachThe research design was cross-sectional. Data were collected from 30 dining restaurants in Dhaka city, Bangladesh. The proposed model was tested using partial least square structural equation modeling with a sample size of 600 respondents.FindingsThe antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value/price) were found to have significant positive effects on customer satisfaction. Customer satisfaction and restaurant reputation were found to have significant positive effects on revisit intention, while variety seeking tendency was found to have a significant negative effect on revisit intention. Trust was found to partially mediate the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships.Originality/valueThis study is among the first to provide a holistic approach toward the crucial antecedents of customer satisfaction (i.e. service quality, food quality, atmospherics, other customers and perceived value) and revisit intention (i.e. customer satisfaction, variety seeking tendency, trust and restaurant reputation) in one structural equation model, and investigated their interrelationships in the context of dining restaurants. To the authors’ knowledge, this is the first study that has investigated the mediating role of trust between the customer satisfaction-revisit intention and restaurant reputation-revisit intention relationships in the context of dining restaurants. From a market-specific context, this the first study to investigate and link the examined variables in the context of Bangladeshi dining restaurants.
Subject
Management Science and Operations Research,Strategy and Management,General Decision Sciences
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