Understanding frontline employees' fuzzy request behavior based on image theory

基于图像理论理解一线员工的模糊请求行为

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Abstract

INTRODUCTION: While frontline employees (FLEs) often make fuzzy requests (made during the service process and are outside of service policy or FLEs' job descriptions or are not addressed by service providers, but are not unacceptable), there is no research explaining how such requests emerge. This research pioneers in using image theory to elucidate the underlying dynamics that propel the mechanism behind FLEs' fuzzy request behavior. METHODOLOGY: The hypotheses were examined by using data from 324 FLEs who asked customers to share tables in restaurants. RESULTS: The results show that normative legitimacy, role confidence, expected responsiveness, and expected technical quality have significantly positive impacts on request behavior, whereas service rule commitment has a significantly negative impact. Meanwhile, trajectory image (represented by expected responsiveness and expected technical quality) mediates the relationship between value image (represented by normative legitimacy and role confidence) and request behavior. Additionally, habit moderates the relationship between expected responsiveness and request behavior while service rule commitment moderates the relationship between expected technical quality and request behavior. DISCUSSION: This study is the first to demonstrate the mechanism of FLEs' fuzzy requests' emergence and provides vital managerial implications to manage request behavior.

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