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研究生: 王建斌
Wang, Jian-Bin
論文名稱: Why Proactivity in Service Recovery Matters: Retaining Disappointed Customers with a Signal for Future Improvement
指導教授: 嚴秀茹
口試委員: 王俊程
李有仁
學位類別: 碩士
Master
系所名稱: 科技管理學院 - 服務科學研究所
Institute of Service Science
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 69
中文關鍵詞: 前瞻式行為服務補救
外文關鍵詞: proactivity, proactive behavior, service recovery
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  • 服務失誤總是難以避免,不論組織再怎麼重視顧客以及服務品質,還是無法消除所有發生服務失誤的可能性。為了挽回顧客,廠商後續的服務補救相當地重要,因此該議題在學術領域中得到了許多的關注。過去關於服務補救的文獻,主要是著重在顧客對於服務補救公平性的認知;然而,在此本研究欲運用訊號理論,探討前瞻式服務補救以及實質補償是否能夠增強顧客對未來服務改善的預期,並間接帶來對廠商有利的顧客行為;以及探討此兩種策略是否也能夠直接影響顧客行為。此外,本研究也認為提供前瞻式服務補救將產生調節作用,減弱實質補償對服務改善預期的正面效果。
    根據兩項情境實驗的結果,前瞻式服務補救的確能夠增強顧客對未來服務改善的預期,並且產生對廠商有利的顧客行為。雖然結果顯示提供實質補償也能夠增強顧客對未來服務改善的預期,但若廠商在互動構面中展現出前瞻式的服務補救行為,則實質補償的效果將變得不顯著,無法增強該預期。而結果也進一步證實顧客對未來服務改善的預期能夠產生中介效果,增加顧客再購意願並減少負面口碑的傳播。本研究的學術貢獻在於確認了服務補救中的前瞻性能夠成為訊號,增強顧客對未來服務改善的預期,並可減少服務補救中所需提供的實質補償。此外,研究的結果也發現了雖然在服務補救中傳遞單一的訊號能夠帶來有利的結果,但若廠商同時對顧客傳遞多個訊號,這些有利的結果不一定會出現。


    Service failure is endemic and even service organizations with the most customer-oriented service quality programs are unlikely to eliminate all service failures. How the service provider handles service recovery (SR) is vital for retaining customers, thus the topic has received abundant research attention. Apart from the extant literature that has focused on perceived justice, this article applies signaling theory and examines the role of SR proactivity and compensation in enhancing customers’ expectations of future service improvement and achieving desirable customer outcomes. In particular, this research proposes a model analyzing the direct effects of compensation and SR proactivity on customer outcomes, along with their indirect effects, via future improvement expectations (FIE). Additionally, this research predicts that SR proactivity weakens the effects of compensation on future improvement expectations. Findings from two studies using scenarios support predictions pertaining to the effects of SR proactivity on FIE and customer outcomes. Although compensation is found to signal future improvement, high compensation does not result in higher FIE when the service provider is proactive in SR interaction. The results further demonstrate that FIE mediates the effects of the interaction on customer intention to repurchase and to spread negative word-of-mouth. This study contributes to the literatures by empirically confirming proactivity as an effective signal to establish positive expectations about future service improvement and to reduce the need for providing compensation in service recovery. The findings also suggest that the application of multiple signals simultaneously does not necessarily lead to more positive outcomes than the use of a single signal in service recovery.

    CONTENT INDEX Chapter 1 Introduction 1 1-1 Background & Motivation 1 1-2 Research Objectives 2 Chapter 2 Theoretical Background 4 2-1 Service Recovery 4 2-1-1 Fairness in Service Recovery 4 2-1-2 Customer Expectations of Future Service Improvements 5 2-2 Signaling Theory 6 2-3 Proactivity 7 2-3-1 Definition of Proactivity 7 2-3-2 Proactivity in service recovery 8 Chapter 3 Research Framework 11 3-1 Future Improvement Expectations 11 3-2 Proactivity as a Signal 11 3-2-1 Procedure Proactivity as a Signal 12 3-2-2 Interactional Proactivity as a Signal 12 3-3 Compensation as a Signal 13 3-4 Interaction Effect between Compensation and Proactivity 14 Chapter 4 Methodology 17 4-1 Overview 17 4-2 Study 1 20 4-2-1 Procedure and Design 20 4-2-2 Measures 21 4-2-3 Pretest 23 4-3 Study 2 23 4-3-1 Procedure and Design 23 4-3-2 Measures 25 4-3-3 Pretest 25 Chapter 5 Results 26 5-1 Study 1 26 5-1-1Descriptive Analysis 26 5-1-2 Manipulation Checks 27 5-1-3 Reliability 27 5-1-4 Hypothesis Testing 28 5-2 Study 2 33 5-2-1 Descriptive Analysis 33 5-2-2 Manipulation Checks 34 5-2-3 Reliability 34 5-2-4 Hypothesis Testing 35 Chapter 6 Discussions and Conclusion 46 6-1 Summery of Empirical Findings 46 6-1-1 The Effect of FIE 46 6-1-2 The Signal Effect of Procedure Proactivity 46 6-1-3 The Signal Effect of Interactional Proactivity 46 6-1-4 The Signal Effect of Compensation 47 6-2 Theoretical Implications 49 6-3 Managerial Implications 50 6-4 Limitations and Future Research 51 REFERENCES 53 APPENDIX 1 QUESTIONNAIRE 58 APPENDIX 2 SCENARIOS 62 Study 1 62 Study 2 66 LIST OF TABLES Table 4-1 Manipulation (Study 1) 21 Table 4-2 Measurement (Studies 1 & 2) 21 Table 4-3 Measurement of the manipulations (Study 1) 22 Table 4-4 Manipulation (Study 2) 24 Table 4-5 Measurement of the manipulations (Study 2) 25 Table 5-1 Demographic distribution (Study 1) 26 Table 5-2 Manipulation check (Study 1) 27 Table 5-3 Reliability coefficients (Study 1) 28 Table 5-4 Regression analysis results for FIE (Study 1) 28 Table 5-5 MANOVA results for main effects (Study 1) 29 Table 5-6 Examination of mediation effects of FIE (Study 1) 32 Table 5-7 Demographic distribution (study 2) 33 Table 5-8 Manipulation check (study 2) 34 Table 5-9 Reliability coefficients (Study 2) 35 Table 5-10 Regression analysis for FIE (Study 2) 35 Table 5-11 MANOVA results for main effects (Study 2) 36 Table 5-12 MANOVA results for simple main effects of compensation (Study 2) 38 Table 5-13 Cell means for FIE (Study 2) 38 Table 5-14 Cell means for repurchase intent (Study 2) 38 Table 5-15 Cell means for negative WOM (Study 2) 38 Table 5-16 Examination for mediation effects of FIE (Study 2) 40 Table 5-17 The mediated moderation effects of FIE (Study 2) 42 Table 5-18 ANOVA test for simple main effects of compensation on failure severity (Study 2) 43 Table 5-19 The mediated moderation effect of failure severity (study 2) 45 LIST OF FIGURES Figure1 Research Framework (study 1) 19 Figure2 Research Framework (study 2) 19

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