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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

教育單位導入ITIL之分析與評估-以T學校為例 / The Analysis and Evaluation of Implementing ITIL for Education Institute - A Case Study of T shcool

黃世榮 Unknown Date (has links)
「企業電子化」在網路企業時代中成了提高核心競爭力的主要關鍵。學校在全球化浪潮及少子化的衝擊下,也正處於日益競爭的教育市場中。而長久以來,一直存在IT服務品質不佳的問題, 1980年代晚期英國政府因此開發出一套全面性服務管理標準,ITIL。   曾有學者指出,大學生對學校經驗不滿意者共占51.4%,而其中一項「校園資訊服務」滿意度倒數第三。綜觀資訊服務管理的演進與校園e化的發展,本研究想了解使用者注重的服務有哪些,最需先改善哪些項目。   透過單一個案研究法,對個案學校進行資料蒐集,從分析資料中可以發現,資訊服務的提供者與使用者在滿意度上存在相當程度的落差。最後視資訊服務提供者現況並參考ITIL機制,給予資訊服務改善的建議,並適度調整服務等級,以逐步建立資訊服務整體規劃。
2

數位產品網路行銷之顧客資訊滿意度衡量模式 / The Measurement Model of Customer Information Satisfaction for Internet Marketing of Digital Products

王怡舜, Yi-Shun Wang Unknown Date (has links)
資訊管理文獻中,對於電子商務環境的顧客資訊滿意度衡量模式甚少探討。目前文獻中的使用者資訊滿意度(UIS),以及使用者自建系統滿意度(EUCS)兩種衡量模式,主要是適用於「傳統資料處理環境」或是「使用者自建系統環境」。因此,本研究將發展一個適用於「數位產品網路行銷環境」的顧客資訊滿意度衡量模式。首先,本研究探討了網站顧客資訊滿意度(WCIS)的概念性定義,作者從文獻中歸納出初步的顧客資訊滿意度衡量構面與問項,並透過訪談、焦點群體、先導研究等方法來加以補充與調整。再者,本研究也說明了量表問項產生過程、資料蒐集方法、以及純化測量的步驟。作者並運用兩個配額樣本來進行探索性因素分析以及驗證性因素分析,其中嚴謹地檢驗了顧客資訊滿意度衡量模式的信度、內容效度、效標關聯效度、收歛效度、區別效度,以及法理效度。最後,本研究探討了顧客資訊滿意度衡量模式在實務界與學術界的應用方式,並討論了本研究所面臨的若干限制,同時提出一些未來可以進一步研究的方向。作者希望本研究所提出的顧客資訊滿意度衡量模式,未來可以被其他研究人員用來發展網路行銷或電子商務理論。 CHAPTER 1. INTRODUCTION….………………………………………….….…1 CHAPTER 2. DOMAIN OF WEB CUSTOMER INFORMATION SATISFACTION ……………………………………………………………………..4 2.1 The Focus of This Study…………………………………………….…..…….4 2.2 The Impact of E-commerce on the Business Process of DPSPs….……….…..5 2.3 Instruments for Measuring User Information Satisfaction (UIS) and End-User Computing Satisfaction (EUCS)…….……………..……………….6 2.4 The Conceptual Definition of Web Customer Information Satisfaction ….…..9 2.5 The Theoretical Framework for Assessing WCIS……………………….…..12 2.6 Service Quality versus Customer Satisfaction………………………….……14 CHAPTER 3. GENERATION OF SCALE ITEMS……….……………………...16 3.1 Generation of Initial Item List……………………………………………...16 3.2 Pilot Study…………………………………………………………………....17 CHAPTER 4. SCALE PURIFICATION AND EXPLORATORY FACTOR ANALYSIS…...…………………………………………………………..19 4.1 Sample and Procedure……………………………………………………….19 4.2 Item Analysis and Reliability Estimates……………………………………..20 4.3 Identifying the Factor Structure of the WCIS Construct…..…………………21 4.4 Reliability…………………………………………………………………….23 4.5 Content Validity………………………………………………………………25 4.6 Criterion-Related Validity……………………………………………………25 4.7 Reliability and Criterion-Related Validity by Type of Web Site……………..26 4.8 Discriminant and Convergent Validity……………………………………….27 4.9 Nomological Validity………………………………………………………...28 CHAPTER 5. THE CONFIRMATORY FACTOR ANALYSIS OF THE WCIS INSTRUMENT………………………………………………...……………30 5.1 Need for Confirmatory Analysis………………………………………….….30 5.2 Methods……………………………………………………………………....33 5.3 Data Collection for Confirmatory Analysis………………………………….41 5.4 Alternative Models…………………………………………………..……….43 5.5 Criteria for Comparing Model-Data Fit…..………………………………….46 5.6 Checks for Statistical Assumptions………………………………………….49 5.7 Estimation Method…………………………………………………………...50 5.8 Results………………………………………………………………………..50 5.9 Assessment of Reliability and Validity………………………………………55 5.10 The Measurement of Service Quality……………………………………….60 5.10.1 The Development of SERVQUAL and IS-adapted SERVQUAL………61 5.10.2 Refinement of an EC-adapted SERVQUAL…………………………...66 5.11 Research Findings for Confirmatory Analysis……………………………...72 5.11.1 Findings for Question One……………………………………………72 5.11.1 Findings for Question Two……………………………………………74 5.12 Comparison of Underlying Dimensions Between UIS, EUCS and WCIS…………………………………………………………………..76 CHAPTER 6. IMPLICATIONS………….………………………………………..77 6.1 Implications for Practice……………………………………………….....….77 6.2 Implications for Research.……………………………………………………79 CHAPTER 7. CONCLUSION……..………………………………………………81 REFERENCE……………...………………………………………………………..83 GLOSSARY…………………………………………………………………………95 APPENDIX A Measurement of Web Customer Information Satisfaction – Forty-Three Items Used in the Pilot Study…………………………………………...97 APPENDIX B Observed Correlation Matrix of WCIS Instrument in Confirmatory Analysis..……………………………………………………………....99 APPENDIX C Observed Correlation Matrix of Initial EC-SERVQUAL Instrument…………….……………………...………………………………………100 APPENDIX D The LISREL Program for WCIS Model 1……..…………………...101 APPENDIX E The LISREL Program for WCIS Model 2.……….………………...102 APPENDIX F The LISREL Program for WCIS Model 3...………………………...104 APPENDIX G The LISREL Program for WCIS Model 4..………………………...105 APPENDIX H The LISREL Program for EC-SERVQUAL Model 1.…………….106 APPENDIX I The LISREL Program for EC-SERVQUAL Model 2.…………….107 APPENDIX J The LISREL Program for The Structural Model Between WCIS and EC-SERVQUAL Measures………………………………..………………...108 ABOUT THE AUTHOR…………………………………………………………...110 / MIS literature has not addressed the measurement of web customer information satisfaction (WCIS) in electronic commerce. Current models for measuring user information satisfaction (UIS) and end-user computing satisfaction (EUCS) are perceived as inapplicable as they are targeted primarily towards either conventional data processing or the end-user computing environment. This study develops a comprehensive model and instrument for measuring customer information satisfaction for web sites that market digital products and services. This paper first discusses the concepts and definitions of WCIS construct from the literature. The researcher summarizes his findings in a theoretical framework. Based on this framework, the researcher develops a measurement instrument to measure web customer information satisfaction. The procedures used in generating items, collecting data, and purifying a multiple-item scale are described. The researcher has carefully examined evidences of reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity by analyzing data from two quota samples. The potential applications for practitioners and researchers are then explored. Finally, the researcher concludes this study by discussing limitations and potential future research. The researcher hopes that the proposed WCIS instrument with good reliability and validity can be used by other researchers to develop and test Internet marketing and EC theories in the future.

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