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研究生: Rahman Dwi Wahyudi
Rahman - Dwi Wahyudi
論文名稱: 以SEE方法論發展搭配全新或重製產品的服務之研究
Developing Service Offers for Supporting New, Reused and Remanufactured Products Using Service Experience Engineering (SEE) Methodology
指導教授: 周碩彥
Shuo-yan Chou
口試委員: 王孔政
Kung-jeng Wang
喻奉天
Vincent F. Yu
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 83
中文關鍵詞: Service Experience EngineeringService for Reused and Remanufactured ProductsService Development
外文關鍵詞: Service Experience Engineering, Service for Reused and Remanufactured Products, Service Development
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  • Green marketing has been an important academic research topic for last three decades but few studies have focused specifically on green products such as reused and remanufactured products. Whereas, observing customer’s willingness to use reused and remanufactured products becomes an interesting issue to enhance the implementation of sustainable manufacturing. As the willingness of use is increasingly driven by services, the introduction of new services to satisfy customers and improve value is becoming a critical issue for company.
    In this research, we conduct a survey to observe and understand the voice of customer toward service improvement for reused and remanufactured products. By understanding the voice of customer, the most suitable services for reused and remanufactured products can be formulated. The respondents involved in this study are university students in Taipei, while the data obtained from this survey are characteristics of respondents, the importance level of services of each product type, and the customer’s satisfaction to services of each product type. In this research, Service Experience Engineering (SEE) is selected to describe the new service development framework starting from ideas creation to service market-launch. There are three phases in SEE methodology. At the first phase, we provide statistic descriptive to compile the obtained data and service quality to analyze the gap between customer expectation and customer experience. Secondly, we provide importance-performance analysis to group the service. Finally, the grouping service is statistically proven by clustering method. The results of this research are (1) statistically knowing service combination for new, reused, and remanufactured products; (2) conveying quality proven; (3) applying service quality in SEE methodology to develop service combination for new, reused, and remanufactured products; (4) applying statistical approach in SEE methodology. Thus, this research makes important contribution from theoretical, managerial, and methodological viewpoints.


    Green marketing has been an important academic research topic for last three decades but few studies have focused specifically on green products such as reused and remanufactured products. Whereas, observing customer’s willingness to use reused and remanufactured products becomes an interesting issue to enhance the implementation of sustainable manufacturing. As the willingness of use is increasingly driven by services, the introduction of new services to satisfy customers and improve value is becoming a critical issue for company.
    In this research, we conduct a survey to observe and understand the voice of customer toward service improvement for reused and remanufactured products. By understanding the voice of customer, the most suitable services for reused and remanufactured products can be formulated. The respondents involved in this study are university students in Taipei, while the data obtained from this survey are characteristics of respondents, the importance level of services of each product type, and the customer’s satisfaction to services of each product type. In this research, Service Experience Engineering (SEE) is selected to describe the new service development framework starting from ideas creation to service market-launch. There are three phases in SEE methodology. At the first phase, we provide statistic descriptive to compile the obtained data and service quality to analyze the gap between customer expectation and customer experience. Secondly, we provide importance-performance analysis to group the service. Finally, the grouping service is statistically proven by clustering method. The results of this research are (1) statistically knowing service combination for new, reused, and remanufactured products; (2) conveying quality proven; (3) applying service quality in SEE methodology to develop service combination for new, reused, and remanufactured products; (4) applying statistical approach in SEE methodology. Thus, this research makes important contribution from theoretical, managerial, and methodological viewpoints.

    Acknowledgement i Abstract ii Table of Content iii List of Figures vi List of Tables vii List of Equation viii Chapter 1. Introduction 1 1.1 Motivation and Background 1 1.2 Research Objectives 3 1.3 Research Methodology 3 1.3.1 Problem Formulation 3 1.3.2 Data Collecting and Data Processing 4 1.3.3 Data Analysis and Conclusion 9 1.4 Organization of Thesis 10 Chapter 2. Literature Review 12 2.1 Service Innovation 12 2.2 An overview of Service Marketing Development 15 2.3 Service Experience Engineering (SEE) Methodology 16 2.4 Environmental Issue 21 Chapter 3. Data Collecting and Processing 23 3.1 Limitation 23 3.2 Research Framework 23 3.3 Data Collection 23 3.3.1 Questionnaire Distribution 24 3.3.2 Reliability Test 26 3.3.3 Respondents Demographic 26 3.4 Data Processing 28 3.4.1 Friedman’s ANOVA test 29 3.4.2 Post Hoc Test 31 3.4.3 Determining Service Combination using SEE methodology 31 3.4.4 Crosstab Analysis 45 3.4.5 Respondents Cluster 49 Chapter 4. Data Analysis 50 4.1 Service as Supporting Product 50 4.2 Developing Service Offers 51 4.2.1 Phase 1 51 4.2.2 Phase 2 53 4.2.3 Phase 3 56 4.3 Developing Service Typology 58 4.4 Service for Supporting Product in Several Country 60 Chapter 5. Conclusion and Future Research 62 5.1 Conclusions 62 5.2 Future Research 64 References 66 APPENDIX A. QUESTIONNAIRE 71

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