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作者:Andreawan Honora
作者(英文):Andreawan Honora
論文名稱:The Role of Customer Forgiveness in Service Recovery
論文名稱(英文):The Role of Customer Forgiveness in Service Recovery
指導教授:池文海
指導教授(英文):Wen-Hai Chih
口試委員:劉明德
林榮禾
湯玲郎
蔡宗宏
口試委員(英文):Ming-Te Liu
Rong-Ho Lin
Ling-Lang Tang
Chung-Hung Tsai
學位類別:博士
校院名稱:國立東華大學
系所名稱:企業管理學系
學號:810732010
出版年(民國):111
畢業學年度:110
語文別:英文
論文頁數:117
關鍵詞(英文):Customer ForgivenessPerceived JusticeReconciliationAvoidanceService Recovery TransparencyCustomer EngagementTimelinessPersonalization
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This research proposes the role of customer forgiveness in the context of service recovery. This research examines the mediating role of customer forgiveness in the relationships between service failure severity and reconciliation/avoidance as well as investigates the moderating effect of perceived justice on the relationship between service failure severity and customer forgiveness (Study 1a). The interaction effect of justice dimensions and service failure severity on customer forgiveness is also examined (Study 1b). The results confirm that customer forgiveness mediates the relationships between service failure severity and reconciliation/avoidance. Perceived justice moderates the relationship between service failure severity and customer forgiveness. Among the dimensions of perceived justice, the interaction effects between distributive justice/interactional justice and service failure severity on customer forgiveness are significant. In addition, this research also explores the role of customer forgiveness for online complaint handling strategies in the context of online complaint handling and indicates that the increase of customer forgiveness ultimately leads to customer engagement (Study 2). The results show that service recovery transparency positively affects customer forgiveness, which in turn leads to customer engagement. The effect of service recovery transparency on customer forgiveness is moderated by timeliness/personalization.
Chapter 1 Introduction 1
Chapter 2 Literature Review 11
Chapter 3 Research Methodology 27
Chapter 4 Data Analysis 39
Chapter 5 Conclusion and Suggestions 81
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