臺灣博碩士論文加值系統

近年來，隨著資訊與網路科技的發展與普及，台灣地區2010年整體人口上網率已達88.42％；其中電子商務應用方面約89.9%網路族會透過網路查詢產品資訊這些數據，顯示愈來愈多網際網路消費者會在進行商品購買前後，會瀏覽產品所屬的企業網站，進行相關商品資訊搜尋，進而突顯了企業網站存在重要性與價值。
　　反觀過去關於網站服務品質研究方向，多偏屬於購物型購站，況且其與企業網站的特性又大不相同。故本論文旨在探討個人電腦企業網站服務品質決定因素，對應目前消費環境與消費習慣其重要性是否有所改變，同時並試圖探討「各項網站服務構面」對於「消費者後續行為意圖」之間的關係。希望藉由研究結果與建議做為日後業界在建構或改版網站內容時，作為強化服務品質的參考。
　　本研究根據Dai (2005)學者的文獻做為網站服務品質衡量的因素構面，並參考PZB (1996)所提出服務品質如何影響顧客的行為意圖(忠誠度、轉換傾向、內部反應、外部反應、願意支付更多)做為本研究之研究架構及假設基礎，選定國內六家知名個人電腦品牌公司企業網站為研究對象（包括宏碁、華碩、明碁、美商蘋果、惠普、新力），選擇中壢NOVA 資訊廣場及宏碁、華碩中壢維修中心為問卷發放場所，以現場的消費者做為網站問卷發放對象，並採用Pearson相關分析、多元迴歸分析與共線性分析對回收樣本資料進行實證分析與研究。
　　本研究根據實證的結果主要發現:1.會讓消費者產生正相關「忠誠度」行為意圖的自變數共有「網站資訊品質」、「網站外觀與視覺吸引力」、「網站服務與回應」、「網站隱私權的保護」。2. 會讓消費者產生負相關「轉換傾向」及「外部反應」行為意圖的自變數共有「網站資訊品質」、「網站服務與回應」。3. 會讓消費者產生負相關「內部反應」行為意圖的自變數只有「網站外觀與視覺吸引力」。4. 會讓消費者產生正相關「願意支付更多」行為意圖的自變數只有「網站隱私權保護」。5.因服務品質因素間，彼此存在高度的共線性關係及中、高度的相關性，因而造成抵消或干擾原先單一自變數對於顧客後續行為意圖影響。6消費者遇到企業網站服務品質不佳時，大多數的消費者並不會向公司所提供的管道反應問題。7.除此之外大部分的使用者當享受完網站服務品質後，並不一定因此願意支付更多金錢購買該公司的產品。
　　研究最後根據研究發現提出其管理意涵與建議，並提供後續研究者未來研究方向之相關議題。

In recent years, with the information and network technology development and popularization of the overall population in Taiwan, the Internet users have reached 88.42% in 2010, and the percentage of e-commerce applications users is approximately 89.9%. It shows that most of the Internet users browse, search and check the relevant product through its official website. That means that the value of existing official website is really important

In the past, most of the researches on the Website service quality are focus on Shopping type websites, but the characteristics of its are not similar. The purpose of this thesis is to explore the personal computer business website service quality in corresponding to the current consumer environment and the change in consumption habits. This thesis also tries to explore the relationships between "the Web services perspective" and “the consumer behavioral intentions". Hopefully, the research findings and recommendations from the industry will enhance the service quality.

This study is based on Dai (2005) as a web service scholar, who measured the dimensions of the quality, in reference to PZB (1996) who proposed how they would affect the customer service quality, behavioral intentions (including loyalty, switch, internal and external response, willingness to pay more) as the framework of this study.
There are six selected well-known PC brands in the domestic corporate Web site for the study (including Acer, Asus, Acer, American apple, HP, Sony). Places for distributing the questionnaires to the consumers are NOVA Information Plaza and Acer, Asus Service Center which are located in Zhongli City. The returned samples will be analyzed with Pearson correlation analysis and multiple linear regression analysis. The main findings based on empirical results are: 1. Consumers are related to "loyalty" towards the independent variables such as behavioral intentions which includes "website information quality", "website appearance and visual appeal", "website service and response," and "Website privacy protection."; 2. Consumers will not related to "switch" and "external response" from the behavioral intention variables such as "website information quality", and "website service and response."; 3. Consumers will not related to "internal response" from the variable behavioral intention, but only related to "website appearance and visual appeal."; 4. Consumers are related to "willing to pay more," only has the intention of the independent variables such as "website privacy protection."; 5. Service quality factors, the mutual co-existence of a high degree of linear relationship, and the high degree of correlation, cause the result in a single offset or interfere with the original independent variables for the intention of the followed-up customer; 6 Most consumers are not provided by the company''s pipeline to response to the problem happened in their experiences which is considered a poor service quality; 7. In addition to most users, when the enjoyment of the service quality on the website is over, the users will not be willing to pay more money to buy the company''s products.

Finally, based on the findings of its management implications and recommendations, this research can be used for future researchers which related to the same topic.

書名頁 i
論文口試委員審定書 ii
授權書 iii
中文摘要 iv
英文摘要 vi
誌謝 viii
目錄 ix
表目錄 xi
圖目錄 xiv
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 2
第三節 研究範圍 3
第四節 論文架構與研究程序 3
第二章 文獻探討 5
第一節 網站服務品質 5
第二節 行為意圖 13
第三節 服務品質與行為意圖間的關係 14
第三章 研究方法 18
第一節 研究架構 18
第二節 研究假設 20
第三節 研究變數定義與衡量 21
第四節 問卷設計 26
第五節 抽樣設計 27
第六節 資料分析方法 28
第四章 研究結果與分析 31
第一節 樣本資料結構分析 31
第二節 敘述性統計分析 39
第三節 效度及信度分析 47
第四節 皮爾森積差相關分析 51
第五節 迴歸分析結果 58
第六節 研究假說檢定結果 73
第五章 結論與建議 76
第一節 研究結論與發現 76
第二節 研究貢獻與管理意涵 82
第三節 研究限制與未來建議 87
參考文獻 88
附錄一：Mysurey 線上問卷 93

中文參考文獻
朱博湧、林裕淩、吳蔚震、陳佳誼(2009)。技術支援網站服務品質決定因素之探討-以台灣資訊科技企業為例。電子商務學報，11(1)，1-24。
江志卿、廖則竣(2005)。網站服務品質、顧客滿意度及後續行為意圖之探討-以網路購物為例。管理與系統，12(1)，26-31。
江義平、江謝鎮同(2007)。網站服務品質與網站體驗對關係品質及行為意象之影響。電子商務學報，9(4)，689-724。
何昶鴛(2002)。旅遊網站服務品質評估構面之建立。觀光研究學報，9(1)，20-40。
吳蔚震(2006)。企業官方網站服務品質影響因素探索-以IT企業台灣區網站為例。國立交通大學，新竹市。
宋欣雅 (2004)。新北投地區溫泉旅館服務品質與遊客購後行為之研究。國立臺灣師範大學，臺北市。
李雅雯、賴其勛、邴傑民(2001）。服務品質與購後行為意圖關係以台中百貨業例。企業管理學報，49，135-158。
林素吟、丁學勤、(2001)。服務品質與行為意圖關係之研究。遠東學報，199-215
翁玉玲(2008)。服務品質、服務失誤、服務補救對顧客後續行為意向之關係研究-以國內A電子公司為例。朝陽科技大學，台中市。
財團法人台灣網路資訊中心(2010)。2010年台灣寬頻網路使用調查報告出爐報告。2010年9月18日，取自財團法人台灣網路資訊中心網址http://www. Twnic .net.tw/downl- oad/200307/200307index.shtml.
郭崑謨、闕河士 (1989)。消費者抱怨行為及其影響因素之研究。管理評論，9，155-173。
黃俊杰(2000)。從網路消費者購買過程探討電子商店的構建。國立東華大學，花蓮縣。
賴嘉宏(2003)。網站設計品質對線上顧客關係與行為意圖的影響。國立中央大學，桃園縣。
蔡淑如(2003)。台灣網站型態使用行為分析報告。網址：http:/ /www.find.org.tw/0105 /news
/0105_news_disp.asp? news_id= 2884。
潘明君(2004)。網路為消費者購物的重要資訊管道。網址:http://www.find.org.tw/0105/new
-s/0105_news_disp.as p? news _ id = 2877。

英文參考文獻
Ariely, D., ( 2000). Controlling the Information Flow: Effects on Consumers Decision Making and Preferences. Journal of Consumer Research, 27(2), 233-248.
Ajzen, I., & Driver, B. L. (1991). Prediction of Leisure Participation from Behavioral, Normative and Control Beliefs: An Application of the Theory of Planned Behavior. Leisure Sciences, 13, 185–204.
Banwari Mittal, Walfried M. Lassar (1998). Why Do Customers Switch? The Dynamics of Satisfaction versus Loyalty. Journal of Services Marketing, 12(3), 177 -194
Barnes, S. J. & R. T. Vidgen (2002). An Integrative Approach to the Assessment of E-Commerce Quality. Journal of Electronic Commerce Research, 3(3), 114-127.
Bhatti, N., Bouch, A., & Kuchinsky, A. (2000). Integrating User-perceived Quality into Web Server Design. Computer Networks-the International Journal of Computer andTelecommunications. Networking, 33(6), 1-16.
Bickart, B. & R. M. Schindler (2001). Internet Forums as Influential Sources of Consumer Information. Journal of Interactive Marketing, 15(3), 31-40.
Bitner, M. J.( 1990). Evaluating Service Encounters: The Effects of Physical Surroundings and Employee Responses. Journal of Marketing, 54(2), 69-82.
Blackwell, D. R., Engel, J. F., & Kollat, D. T. (1993). Consumer Behavior (7th ed.). New York, NY: South-Western Educational Publishing.
Boulding. (1993) A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions. Journal of marketing research, 30 (1), 7.
Cao, M., Zhang, Q., and Seydel, J. (2005). B2C E-Commerce Website Quality: An Empirical Examination. Industrial Management & Data System 105(5), 645-661.
Cronin, J. J. & S. A. Taylor. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55-68.
Dai, L., L. Huang, Y. Yi & N. Technological (2005). How B2C Service Quality Influences Website Continuance. In Pacific Asia Conference on Information Systems, Bangkok,9, Thailand.
Davenport, T. H., & Klahr, P. (1998). Managing Customer Support Knowledge. California Management Review, 40(3), 195-208.
Day, Ralph L. & Landon, E. Laird, Jr. (1977). A Model of Consumer Complaining Behavior in Consumer Satisfaction, Dissatisfaction and Complaint Behavior, ed. Ralph L. Day. Bloomington. IN: Department of Marketing, Indiana University, 31-5
DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: the Quest for the Dependent Variable. Information Systems Research, 3(1), 60-95.
Ducoffe, R. H. (1996). Advertising Value and Advertising on the Web. Joumal of Advertising Research, 36(5), 21-35.
Eighmey, J. (1997). Profiling User Responses to Commercial Web Sits. Joumal of Advertising Research, 37(3), 59-66.
Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley.
Fred D. Davis, Richard P. Bagozzi & Paul R. Warshaw (1989) User Acceptance of Computer Technology: A Comparison of Two Theoretical Model. Management Science 35(8), 982-1003.
Gruen, T. W., T. Osmonbekov & A. J. Czaplewski (2006). eWOM: The Impact of Customer-to-Customer Online Know-How Exchange on Customer Value and Loyalty. Journal of Business Research, 59(4), 449-456.
Hennig-Thurau, T., K. P. Gwinner, G. Walsh, & D. D. Gremler. (2004). Electronic Word-of-Mouth Via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52.
Jeong, M. & Lambert, C. (2001). Adaptation of an Information Quality Framework to Measure Customers Behavioral Intentions to Use Lodging Websites. International Journal of Hospitality Management 20 (2), 129–146.
Jonathan D. Hibbard, Nirmalya Kumar and Louis W. Stern (2001). Examining the Impact of Destructive Acts in Marketing Channel Relationships. Journal of Marketing Research, 38(1), 45-61
Kotler, P. (2000). Marketing Management：Analysis, Planning, Implementation, and Control (10th ed.). Prentice-Hall, Inc.
Liu, C. & K. P. Arnett (2000). Exploring the Factors Associated with Website Success in the Context of Electronic Commerce. Information & Management, 38(1), 23-33.
Loiacono, E. T. (2000). Webqual: A Website Quality Instrument, Ph.D. thesis. University of Georgia,.
Parasuraman, A., Zeithaml, V.A., & Berry, L.L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41-50.
Parasuraman, A., Zeithaml, V.A., & Berry, L.L., (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1),12-40.
Parasuraman, A., Berry, L.L., & Zeithaml, V.A. (1991). Refinement and Reassessment of the SERVQUAL. Journal of Retailing, 67(4), 420-450.
Parasuraman, A., Berry, L.L., & Zeithaml, V.A. (1993). Research Note: More on Improving the Measurement of Service Quality. Journal of Retailing, 69(1), 140-147.
Parasuraman, A., Berry, L.L., & Zeithaml, V.A. (1994). Alternative Scales for Measuring Service Quality: A Comparative Assessment Based on Psychometric and Diagnostic. Journal of Retailing, 70(3), 201-230.
Parasuraman, A., Berry, L.L., & Zeithaml, V.A. (1994). Reassessment of Expectations as a ComparisonStandard in Measuring Service Quality: Implications for Further Research. Journal of Marketing, 58(1), 111-124.
Parasuraman, A., Zeithaml, V.A., & A. Malhotra (2005). E-S-Qual: A Multiple-Item Scale for Assessing Electronic Service Quality. Journal of Service Research, 7(3), 213-233.
Park, Chung-Hoon & Kim, Young-Gul (2006). The Effect of Information Satisfaction and Relational Benefit on Consumers'' Online Shopping Site Commitments. Journal of Electronic Commerce in Organizations, 4 (1), 70-90.
Richmond, Alice (1996). Enticing Online Shoppers to Buy: A Human Behavior Study. Computer Networks & ISDN Systems, 28 (7-11), 1469.
Rust, R. T. & K. N. Lemon (2001). E-Service and the Consumer. International Journal of Electronic Commerce, 5(3), 85-101.
Sachs, D. & H. Henry (1997). The 7 Keys to Effective Websites Upper Saddle River. NJ : Prentice Hall.
Saeed, K.A., Hwang, Y., & Yi, M.Y.( 2003). Toward an Integrative Framework for Online Consumer Behavior Research: A Meta-Analysis Approach. Journal of End User Computing, 15(4), 1-26.
Santos, J. (2003). E-Service Quality: A Model of Virtual Service Quality Dimensions. Managing Service Quality, 13(3), 233-46.
Success: A Test of DeLone & McLean''s Model (2003). Information Resources Management Journal, 16(1), 24-45.
Wolfinbarger, M. & M. C. Gilly (2003). eTailQ: Dimensionalizing Measuring and Predicting etail Quality. Journal of Retailing, 79(3), 183-198.
Yang, Z., S. Cai, Z. Zhou, & N. Zhou (2005). Development and Validation of an Instrument to Measure User Perceived Service Quality of Information Presenting Web Portals. Information and Management, 42(4), 575-589.
Yoo, B. & N. Donthu (2001). Developing a Scale to Measure the Perceived Quality of an Internet Shopping Site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31-45.
Zeithaml, V.A., Berry, L.L., & Parasuraman (1988). A. Communication and Control Processes in the Delivery of Service Quality. Journal of Marketing, 52(2), 35-48.
Zeithaml, V.A., Berry, L.L., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, .2(60), 31-46.
Zeithaml, V. A. (2000). Service Quality, Profitability and the Economic Worth of Customers: What We Know and What We Need to Learn, Journal of the Academy of Marketing Science, 28(1), 67-85.
Zeithaml, V. A., A. Parasuraman, & A. Malhotra (2002). Service Quality Delivery through Websites: A Critical Review of Extant Knowledge. Journal of the Academy of MarketingScience, 30(4), 362-375.
Zeithaml, V.A. & Bitner, M.J. ( 2003). Services Marketing: Integrating Customer Focus
Across the Firm (3rd ed). New York , McGraw-Hill,