本研究回顧過去「資訊通路」相關研究發現，主要集中在幾個議題，例如：經營或競爭策略、通路管理、產品訂價模式、顧客忠誠度、通路服務品質、供應商關係管理、或個案公司之研究；而回顧關於「技術採用生命週期」與「跨越鴻溝」相關研究較少且多集中於高科技技術，如LED、IC設計、網站平台..或個案產品之研究，如iPod、筆記型電腦、電子書、網路電視..等。且大部研究的探討範圍較缺乏以產業角度研究數位產品之相關通路服務需求；且並未發現根據Geoffrey A . Moore(1991)跨越鴻溝一書所論述「高科技行銷通路」理論之提出有效履行「完整產品」之實務架構並進行可行性研究。 　　就實務面觀察，多數創新數位產品在通路推展成功機率很低且擴散速度緩慢，因此本研究針對影響數位產品成敗因素分為企業內部因素、外在環境因素與通路因素三部分，並針對品牌原廠非完全可控制之通路因素進行深入分析研究。關研究方法方面，本研究以通路服務業觀點先探討數位產品的演進趨勢對消費者與品牌原廠通路服務需求的影響，接著探討消費者與品牌原廠對現有主要數位產品通路型態之滿意度分析，找出「市場需求缺口」是否存在與各項服務需求與滿意度(放心度)之差異程度；再進一步驗證本研究提出創新服務模式-「官網下單&透過區域專業經銷商交貨」之適用性與滿意度改善之比較。本研究進一步分析可能影響各項通路服務需求與滿意度的因素，包括消費者類型與品牌原廠類型。 　　經過資料分析，本研究的主要研究結果有五點，包括：消費者與品牌原廠之通路服務需求的確存在且被數位產品的演進所影響、不同類型消費者會影響對通路服務需求與通路型態的放心程度、不同類型品牌原廠影響對通路服務需求的程度不大；但會影響推展新產品初期通路選擇之策略、創新通路服務模式(官網下單&透過區域專業經銷商交貨) 符合消費者與品牌原廠需求並提升滿意度、數位產品之採用生命週期曲線之「鴻溝現象」仍然存在，且與Geoffrey A . Moore(1991)之技術採用生命週期曲線之結構有所不同。 根據上述的研究結果，本研究提出下列建議給予實務界參考： 一、對數位產品通路服務公司：跳脫「競爭」與「去服務化」思維，以實際市場需求出發以建構企業價值鏈與提升附加價值、 有效整合數量龐大區域加值經銷商的在地力量建構「售後服務」機制、優先建構「導入時效」通路價值鏈。二、對創新數位產品之品牌原廠：運用創新通路服務模式彌補目前面臨通路服務滿意度之落差、以官網發展虛實整合的創新通路服務模式較可滿足消費者需求。 / In this study, we have reviewed the existing thesis and research about keyword of IT channel and found that focused on several issues , such as: business or competitive strategy, channel management, product pricing model, customer loyalty, channel service quality, supplier relationship management, or the case company the study; About the number of existing thesis and research of "technology adoption life cycle" and "Crossing the Chasm" is rare and found that more concentrated in high technology product, such as LED, IC design, web platform .. or some case studies, such as iPod, notebook, e-books, network TV .. and so on. And lack of research to explore the issue of digital products industry ‘s real demand for channel services; and we have not found according to the theory of "high-tech marketing channel" discussed by the book of Geoffrey A. Moore’s "Crossing the Chasm" to proposed the effective implementation architecture of "whole product" and do some research. Through the observations of the practical , most innovative digital products is very low probability of success in channel marketing and spread slowly, so the study of divided the success or failure factors of digital products into three parts,including business internal factors, external environmental factors and channel factors, and in this study focus and analysis depthly to the channel factor that the brand company ‘s non-completely control . About research methods, this research study first the impact of channel service demand of the consumers and brand company by evolution of digital products through channel service’s viewpoint. Then we analysis the the satisfaction of consumer and brand company to existing major channels of digital products to identify "market demand gap" and the difference degree between the service needs and satisfaction (comfort level); further validate the applicability and satisfaction improvement degree of the innovative service model - "place orders on the official website and delivery goods through the regional dealer in relatived field" . This study further analyzed the various factors that may affect the service needs and satisfaction, including types of consumers and the types of brand company. After data analysis, the main findings of this study have five points, including: The demand of consumer and the brand company for channel services are affected by the evolution of digital products; The demand for channel services and comfort level will be affected by the different types of consumers;The demand for channel services won’t be affected by the different types of brand company, but the choice of the initial channel strategy will be affected by the different types of brand company;The innovative service model - "place orders on the official website and delivery goods through the regional dealer in relatived field" can meet the demend and improve satisfaction of the customer and brand company;The " Chasm phenomenon" of " the digital product adoption life cycle curve " still exists, and different with the structure of Geoffrey A. Moore (1991) of the technology life-cycle curve . Based on the above findings, this study proposes to practitioners the following recommendations: First, for channel services company of digital products: Give up "competition" and "off service" thinking t o construct the enterprise value chain and value- up by actual market demand；To integrate the huge forces of local value-added- reseller to construct the "after-sale- service" mechanism;Give the high priority to construct the value chain of "Time to market". Second, for the brand company of digital product : Take advantage with the innovative service model - "place orders on the official website and delivery goods through the regional dealer in relatived field" to make up for the satisfaction of the channel service；To create the innovation virtual-physical- channel service model by the official website to meet consumer demand.

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.