【研究背景與問題】隨著網際網路技術的成熟與應用的普及化，推動各項 e 化服務（如線上申辦服務）已是許多電子化政府之發展趨勢，但是在這一股蓬勃發展的 e 化服務潮流中，仍有許多民眾在經過體驗後便不再繼續使用。因此，要如何吸引並留住民眾再繼續使用電子化政府服務，乃是現在政府機關在提供線上公共服務時所必須要正視的議題。再者，任何一項資訊科技服務或資訊系統之實行其最後是否會成功，乃是取決於使用者的持續使用而非初次採用。有鑒於此，本研究認為現在政府應當考慮到民眾對於電子化政府所提供的 e 化服務之使用感受，並瞭解他們會願意繼續使用該服務之影響因素。職是之故，本研究主要研究問題有二：（1）當民眾完成特定網路申辦項目後，影響其持續使用線上申辦服務意向之關鍵因素有哪些？（2）而這些影響因素當中，又有哪些關鍵因素是會影響民眾對於線上申辦系統之使用滿意度？ 
【模型觀點與研究方法】在過去有關電子化政府服務或資訊系統的持續意向研究當中，大多是將重點放在新增構念之研究變數上，來延伸以資訊系統持續使用模型為基礎的相關研究，反而忽略了應整合其他理論或模型之觀點，來廣泛性地解釋使用者的持續使用意向。因此，本研究乃利用資訊系統持續使用模型作為建構本模型之基礎，並結合科技接受模型、延伸期望確認模型、以及網站服務品質評估模型之重要概念作為建構本模型之材料，從使用者觀點角度出發，整合資訊科技之特性與線上網站之屬性，據以建構出一套以民眾使用者為導向的持續使用意向之整合模型。在研究方法上，本研究採用問卷調查法，以桃園縣線上申辦整合系統與臺北市民 e 點通之使用者作為研究對象進行調查，並運用統計套裝軟體 SPSS 將問卷資料進行分析。
【研究發現與意涵】問卷資料在經過多元迴歸分析與中介效果分析之檢測下，可獲得下列重要發現與意涵：第一，影響民眾持續使用線上申辦服務意向之關鍵因素，按其影響程度高低分別為：「使用者滿意度」、「網站服務品質」、以及「科技特性」，其中「使用者滿意度」在本模型中具有部分的中介效果，意味著透過「網站服務品質→使用者滿意度→持續使用意向」此類擴張模式，能夠增加瞭解民眾對於該系統服務的使用滿意度及其持續使用意向，這對目前在探討電子化政府服務或資訊系統之持續使用意向研究議題來說，深具有相當重要性；第二，影響民眾對於線上申辦系統之使用滿意度的關鍵因素，依其影響程度高低分別為：「網站服務品質」、「科技特性」、以及「先前經驗」，其中「先前經驗」對於「使用者滿意度」之間的影響關係乃是值得後續研究做進一步擴張模式的概念。最後，本研究模型與資料分析結果，於學術研究上可供後續相關議題研究進行更具廣泛性的模型推導與探討；於實務意涵上，可供電子化政府精進線上申辦系統實施效益之參考，並提出後續研究建議以供未來有志研究持續意向議題者可以努力的方向。

【Background and questions】With the maturity and propagation of Internet technology applications, it has been developed trend for many e-governments to promote various e-services such as online application services, but in the booming stock trend of e-services, there are still many people no longer continue to use them after experienced. Therefore, engaging and retaining citizens in using e-government Web sites for continued usage is a challenge being faced by most government agencies providing online public services. Furthermore, User’s intention to continue using the ICT services or information systems is considered a major determinant of its success because initial use of the ICT services or information systems is the first step toward realizing its success. One can conclude that an eventual ICT services or information systems success depends on its continued use or “continuance” after initial use (acceptance). Hence, understanding the factors influencing the user’s intention to continue using the e-services provided by e-government is a critical issue for public practitioners. Accordingly, the main research questions of this research are two. Firstly, what are the key factors influencing continued use the e-services after people complete online application services? Secondly, what are the key factors influencing user satisfaction toward online application system among these factors?
【Model viewpoints and methods】In the past relate e-government services or information systems continued intention to researches, mostly focused on new variables of constructs to extend the related researches based on the post-adopt model of IS continuance, however ignored the viewpoints integrated other theories or models to explain generally the user’s continued usage intention. Therefore, this research is making use of the post-adopt model of IS continuance as a construction the foundation of this model, combined with the key concepts of the technology acceptance model, the extended expectation confirmation model, and the web service quality model as a construction the viewpoints of this model. From user’s perspective, according to the characteristics of information technology and the attributes of online website, to construct a set of the integrated model of user-oriented continued usage intention. In research methods, this research adopts a questionnaire survey which carry on users of Taoyuan county integrated online application system and Taipei e-services online as this research object, and make use of statistics software package SPSS to analyze the questionnaire data.
【Findings and implications】The regression analysis and path analysis techniques were employed to test the research hypotheses. The results indicated that, firstly the key factors affecting continued usage intention were “user satisfaction”, which had the effect of partial mediation, “web service quality”, and “technology characteristics”. Secondly, the key factors affecting user satisfaction were “web service quality”, “technology characteristics”, and “prior experience”, which relationship between the impacts of user satisfaction relationship was worthy to further research expands the concept of that model. In conclusion, the results of this empirical research can guide us to devote limited resources to discussions, managerial implications, and future research suggestions are also provided.

目次

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3
第三節　研究流程5
第二章　文獻回顧7
第一節　電子化政府創新服務7
第二節　科技接受模型17
第三節　資訊系統持續使用模21
第四節　延伸期望確認模型	27
第五節　網站服務品質評估模型31
第三章　研究設計39
第一節　研究架構與假設39
第二節　研究變數之操作型定義53
第三節　問卷調查55
第四節　調查執行過程63
第五節　資料分析方法67
第四章　研究結果與分析71
第一節　資料合併73
第二節　問卷信、效度分析75
第三節　描述性分析89
第四節　差異分析105
第五節　相關分析113
第六節　多元迴歸分析117
第七節　路徑分析127
第五章　結論與建議133
第一節　研究發現與討論133
第二節　政策建議139
第三節　後續研究建議141
參考文獻143
附錄一　桃園縣線上申辦整合系統調查問卷（初稿）163
附錄二　桃園縣線上申辦整合系統介紹173
附錄三　專家面談之意見與建議簡要177
附錄四　桃園縣線上申辦整合系統調查問卷（修改後之第一版）179
附錄五　第一場評論委員審查意見與建議彙整187
附錄六　桃園縣線上申辦整合系統調查問卷（修改後之第二版）197
附錄七　桃園縣線上申辦整合系統調查問卷（正式版）203
附錄八　桃園縣線上申辦整合系統調查問卷掛放位置與公佈延長問卷調查訊息209
附錄九　臺中市線上申辦整合系統調查問卷掛放位置211
附錄十　臺北市民 e 點通調查問卷掛放位置	213
附錄十一　臺北市民 e 點通調查問卷（正式版）215
附錄十二　問卷開放題之改善意見彙整221

表　次

表 2-1　 政府對民眾間的應用模式9
表 2-2　 SERVQUAL 量表之五個構面31
表 2-3　 ALANEZI 等人的電子化服務品質與 SERVQUAL 量表33
表3-1　 研究變數之間的因果關係51
表3-2　 研究變數之操作型定義53
表3-3　 知覺有用性 (PERCEIVED USEFULNESS, PU) 之正式問卷題項56
表3-4　 知覺易用性 (PERCEIVED EASE OF USE, PEOU) 之正式問卷題項56
表3-5　 網站內容 (WEB SITE CONTENT, WSC) 之正式問卷題項57
表3-6　 網站服務品質 (WEB SERVICE QUALITY, WSQ) 之正式問卷題項58
表3-7　 知覺風險 (PERCEIVED RISK, PR) 之正式問卷題項58
表3-8　 先前經驗 (PRIOR EXPERIENCE, PE) 之正式問卷題項59
表3-9　 使用者滿意度 (USER SATISFACTION, US) 之正式問卷題項59
表3-10　持續使用意向 (CONTINUED USAGE INTENTION, CUI) 之正式問卷題項59
表3-11　CRONBACH’ S Α係數指標判斷原則67
表3-12　樣本大小與因素負荷量選取標準68
表4-1　 兩個案線上申辦系統網路問卷發放回收情形72
表4-2　 兩地點之變異數同質性 LEVENE 檢定73
表4-3　 KMO 統計量值之判斷原理76
表4-4　 KMO 與 BARTLETT 球型檢定表76
表4-5　 研究假設修改前後之對照表79
表4-6　 影響因素量表之第一次因素分析表80
表4-7　 影響因素量表之第二次因素分析表83
表4-8　 本研究影響因素量表之因素分析彙整表85
表4-9　 受訪者性別次數分配表89
表4-10　受訪者年齡描述性統計表90
表4-11　受訪者年齡層分布次數分配表90
表4-12　受訪者教育程度次數分配表90
表4-13　受訪者平均每次所需之申辦時間次數分配表91
表4-14　受訪者使用線上申辦期間次數分配表91
表4-15　受訪者目前持續使用線上申辦次數描述性統計表92
表4-16　受訪者目前持續使用線上申辦次數分配表92
表4-17　受訪者資訊科技能力程度次數分配表93
表4-18　受訪者對於線上申辦系統「科技特性」之看法94
表4-19　受訪者對於線上申辦系統「網站內容」之看法95
表4-20　受訪者對於線上申辦系統「網站服務品質」之看法97
表4-21　受訪者「先前使用」線上申辦系統的實際情形(Ⅰ)98
表4-22　受訪者「先前使用」線上申辦系統的實際情形(Ⅱ)98
表4-23　受訪者「先前使用」線上申辦系統的實際情形（Ⅲ）99
表4-24　受訪者對於線上申辦系統的「使用滿意度」之看法99
表4-25　受訪者對於線上申辦系統的「持續使用意向」之看法100
表4-26　受訪者對於「持續使用」線上申辦系統之意向的綜合評價100
表4-27　受訪者對於線上申辦系統的「使用滿意度」之綜合評價101
表4-28　受訪者對於線上申辦系統使用的「科技特性」之綜合評價101
表4-29　受訪者對於線上申辦系統「網站內容」之綜合評價102
表4-30　受訪者對於線上申辦系統「網站服務品質」之綜合評價103
表4-31　受訪者對於「先前使用」線上申辦系統之經驗的綜合評價104
表4-32　受訪者的性別對各變數之T 檢定結果105
表4-33　受訪者目前持續使用線上申辦次數對各變數之 T 檢定結果106
表4-34　受訪者的資訊科技能力程度對各變數之 T 檢定結果106
表4-35　受訪者的年齡對各變數之單因子變異數分析表108
表4-36　受訪者的教育程度對各變數之單因子變異數分析表109
表4-37　受訪者平均每次所需之申辦時間對各變數之單因子變異數分析表110
表4-38　受訪者使用線上申辦期間對各變數之單因子變異數分析表111
表4-39　雙變數關聯程度之判別表113
表4-40　自變項間之相關分析114
表4-41　自變項與依變項之相關分析115
表4-42　持續使用意向之迴歸分析表(Ⅰ)118
表4-43　使用者滿意度之多元迴歸分析表(Ⅱ)119
表4-44　持續使用意向之多元迴歸分析表(Ⅲ)120
表4-45　使用者滿意度作為中介變項之階層迴歸分析表(Ⅳ)123
表4-46　本研究建立四組多元迴歸模型分析彙整表125
表4-47　本研究假設與驗證結果彙整表126
表4-48　持續使用意向路徑分析之各項效果分解說明131

圖　次

圖1-1　研究流程6
圖2-1　我國電子化政府推動歷程10
圖2-2　科技接受模型18
圖2-3　修正後的科技接受模型19
圖2-4　期望確認理論23
圖2-5　資訊系統持續使用模型26
圖2-6　延伸期望確認模型28
圖2-7　網站服務品質評估模型36
圖3-1　研究架構40
圖3-2　各變數之間的因果假設50
圖 4-1　經信效度分析刪減後的研究架構78
圖 4-2　中介效果分析之路徑圖124
圖 4-3　路徑分析之路徑圖128
圖 4-4　路徑分析之參數估計圖130

壹、中文部分
王國明、陳啟光（2000a）。提升為民服務品質之研究：單一窗口服務標準化暨應用電子化政府於無人窗口之原型設計（編號：RDEC-MO-089-028）。臺北：行政院研究發展考核委員會。檢閱日期：2011/7/27，取自：
http://www.rdec.gov.tw/public/PlanAttach/200605081108306633228.pdf。
王國明、陳啟光（2000b）。對我國推動單一窗口運動之幾點看法。研考雙月刊，24(4)，70-76。
古步鋼（2010）。「整合服務、效能躍升」方案規劃方向。研考雙月刊，34(3)，116-120。
行政院人事行政局（1988）。推開簡政便民的窗口：全國行政單一窗口化成效實例。臺北：行政院人事行政局。
行政院研究發展考核委員會（1998）。八十七年度政府業務電腦化報告書：邁向二十一世紀的電子化政府。臺北：行政院研究發展考核委員會。
行政院研究發展考核委員會（2002）。電子化政府報告書（91年度）：電子化政府之挑戰與契機。臺北：行政院研究發展考核委員會。
行政院研究發展考核委員會（2007）。優質網路政府計畫（97年至100年）。臺北：行政院研究發展考核委員會。檢閱日期：2011/02/26，取自：http://www.rdec.gov.tw/np.asp?ctNode=12406&mp=120。
行政院研究發展考核委員會（2008）。電子化政府報告書（96年度）：邁向優質網路政府。臺北：行政院研究發展考核委員會。檢閱日期：2011/02/26，取自：
http://www.rdec.gov.tw/ct.asp?xItem=4087193&ctNode=12862&mp=100。
朱愛群、王俊元（2008）。整合為民服務專線電話可行性（編號：RDEC-RES-097-024）。臺北：行政院研究發展考核委員會。檢閱日期：2011/7/27，取自：
http://www.rdec.gov.tw/public/PlanAttach/200904141608250375016.pdf。
朱斌妤、李洛維（2009）。電子治理的發展與挑戰。研習論壇月刊，107，1-13。
李麗花（2003）。法院單一窗口聯合服務中心成效之研討。 T& D 飛訊，14，1-9。
李政忠（2004）。網路調查所面臨的問題與解決建議。資訊社會研究，6，1-24。
李仲彬（2006）。電子化政府的公民使用行為：數位資訊能力與資訊素養之影響分析。資訊社會研究，11，177-218。
吳明隆（2009）。SPSS操作與應用：問卷統計分析實務（二版）。臺北：五南。
宋餘俠、盧志山（2009）。策略規劃第四階段電子化政府。研考雙月刊，33(6)，19-34。
林鐘沂（2001）。行政單一窗口化的理論之分析。收錄於推動全國行政單一窗口化運動實錄論文集（頁202-228）。臺北：行政院人事行政局。
范錚強（1999）。先進國家網路申辦之推動現況。研考雙月刊，23(1)，15-21。
項　靖（2005）。行政單一窗口作業。收錄於數位化政府（第十三章，頁386-402）。臺北：空中大學。
項　靖（2010）。績優政府服務運用資通科技現況與展望。研考雙月刊，34(5)，24-29。
彭錦鵬（2005）。全觀型治理：理論與制度化策略。政治科學論叢，23，61-100。
黃朝盟、吳濟安（2007）。電子化政府影響評估。研考雙月刊，31(1)，76-85。
黃朝盟、朱斌妤、黃東益（2008）。電子治理成效調查評估與分析報告：G2G、G2E（編號：09640D002503）。臺北：行政院研究發展考核委員會。檢閱日期：2011/2/27，取自：
http://www.teg.org.tw/research/view.do?id=33&language=zh。
黃東益、朱斌妤、蕭乃沂（2009）。電子治理成效指標與評估：G2C與G2B（第一冊：G2C）（編號：0972461343）。臺北：行政院研究發展考核委員會。檢閱日期：2011/2/27，取自：
http://www.teg.org.tw/research/view.do?id=18&language=zh。
黃子華、李蕙芬（2010）。政府推動整合型服務之探討：以單一窗口為例。研考雙月刊，35(5)，39-52。
曾冠球、胡龍騰、莊文忠（2010）。電子治理下的跨域整合管理第二階段暨G2G成效評估（編號：0992460052）。臺北：行政院研究發展考核委員會。檢閱日期：2011/3/9，取自：
http://www.teg.org.tw/research/view.do?id=40&language=zh。
邱皓政（2011）。量化研究與統計分析：SPSS (PASW) 資料分析範例解析（第五版）。臺北：五南。
莊文忠（2010）。SPSS在社會科學的應用（初版四刷）。臺北：五南。
游至宏（1999）。美國公務界實施單一窗口業務評估摘譯。人事月刊，28(5)，40-45。
楊朝祥（1998）。邁向二十一世紀電子化政府。研考雙月刊，22(1)，3-9。
楊秀娟（2002）。單一窗口服務機制的推動。研考雙月刊，26(5)，30-39。
陳啟光、謝登旺、徐光圭（2000）。美國公部門與私部門推出單一窗口服務之經驗。收錄於提升為民服務品質之研究：單一窗口服務標準化暨應用電子化政府於無人窗口之原型設計（頁159-180）。臺北：行政院研究發展考核委員會。
陳啟光（2001）。單一窗口標準化與虛擬化、提升政府為民服務之品質。收錄於提升為民服務品質之研究：單一窗口服務標準化暨應用電子化政府於無人窗口之原型設計（頁135-147）。臺北：行政院研究發展考核委員會。
陳立剛（2001）。單一窗口化服務之研析：我國與美國實施之檢討與建議。收錄於推動全國行政單一窗口化運動實錄論文集（頁231-246）。臺北：行政院人事行政局。
賴維堯（2001）。單一窗口化服務之研析：我國與美國實施之檢討與建議評論。收錄於推動全國行政單一窗口化運動實錄論文集（頁247）。臺北：行政院人事行政局。
陳敦源、黃東益、蕭乃沂（2004）。電子化參與：公共政策過程中的網路公民參與。研考雙月刊，28(4)，36-51。
陳順宇（2005）。結構方程模式：AMOS操作（初版）。臺北：心理出版社。
陳瑜芬、鄭凱文（2009）。 E 好了沒？電子治理在台灣。研習論壇月刊，107，21-29。
陳寬裕、王正華（2010）。論文統計分析實務：SPSS與AMOS的運用。臺北：五南。
魏啟林（2000）。政府再造運動。臺北：晨星出版社。
魏啟林（2001）。我國推動全國行政單一窗口化之現況與前瞻。收錄於推動全國行政單一窗口化運動實錄論文集（頁191-206）。臺北：行政院人事行政局。
羅清俊（2008）。社會科學研究方法：如何做好量化研究。臺北：威仕曼。
蕭乃沂（2003）。政府採購電子化的成效評估：透明化觀點的指標建立。空大行政學報，13，161-184。
蕭乃沂、鄭嘉豪、李惠如（2003）。各國推動電子化政府之比較：整體資訊建設指標的觀點。中國行政評論，13(1)，1-28。
蕭乃沂、朱斌妤、黃東益、李仲彬（2010a）。電子治理成效指標與評估：G2A與G2D（第一冊：G2A）（編號：0992460052）。臺北：行政院研究發展考核委員會。檢閱日期：2011/2/27，取自：
http://www.teg.org.tw/research/view.do?id=44&language=zh。
蕭乃沂、朱斌妤、黃東益、李仲彬（2010b）。電子治理成效指標與評估：G2A與G2D（第一冊：G2D）（編號：0992460052）。臺北：行政院研究發展考核委員會。檢閱日期：2011/2/27，取自：
http://www.teg.org.tw/research/view.do?id=44&language=zh。
 

貳、英文部分
Azjen, I., & M. Fishbein (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, Mass: Addison-Wesley.
Azjen, I., & M. Fishbein (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall, Inc.
Azjen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Anderson, E. W., & M. W. Sullivan (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.
Agarwal, R., & J. Prasad (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557-582.
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new Information technologies? Decision Sciences, 30(2), 361-391.
Anderson, C., M. Glassman, R. McAfee, & T. Pinelli (2001). An investigation of factors affecting how engineers and scientists seek information. Journal of Engineering and Technology Management, 18(2), 131-155.
Amoako-Gyampah, K., & A. F. Salam (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41, 731-745.
Al-adawi, Z., S. Yousafzai, & J. Pallister (2005). Conceptual model of citizen adoption of e-government. Proceedings of the 2nd International Conference on Innovations in Information Technology, Dubai, UAE.
AlAwadhi, S., & A. Morris (2008). The use of the UTAUT model in the adoption of e-government services in Kuwait. Proceedings of the 41st Hawaii International Conference on System Sciences (pp.1-11), in Proc.
AlAwadhi, S., & A. Morris. (2009). Factors influencing the adoption of e-Government services. Journal of Software, 4(6), 584-590.
Alanezi, M. A., A. Kamil, & S. Basri (2010). A proposed instrument dimensions for measuring e-government service quality. International Journal of u-and e-Service, Science and Technology Service, 3(4), 1-18.
Ayo, C. K, J. O. Adewoye, & A. A. Oni (2010). The state of e-banking implementation in Nigeria: A post-consolidation review. Journal of Emerging Trends in Economics and Management Sciences, 1(1), 37-45.
Bem, D. J. (1972). Self-perception theory. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology, 6 (pp. 1-32). New York: Academic Press.
Bolton, R. N., & K. N. Lemon (1999). A dynamic model of customers’ usage of services: Usage as an antecedent and consequence of satisfaction. Journal of Marketing Research, 36(5), 171-186.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Barnes, S. J., & R. T. Vidgen (2001). An evaluation of cyber-bookshops: The   webqual method. International Journal of Electronic Commerce, 6, 11-30.
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.
Balasubramanian, S., P. Konana, & N. M. Menon (2003). Customer satisfaction in virtual environments: A study of online investing. Manage Science, 49(7), 871-889.
Bhattacherjee, A., & G. Premkumar (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229-254.
Barnes, S. J., & R. T. Vidgen (2006). Data triangulation and web quality metrics: A case study in e-government. Information & Management, 43(6), 767-777.
Be´langer, F., & L. Carter (2008). Trust and risk in e-government adoption. Journal of Strategic Information Systems, 17, 165-176.
Bhattacherjee, A., J. Perols, & C. Sanford (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17-26.
Cummings, W. H., & M. Venkatesan (1976). Cognitive dissonace and consumer behavior: A review of the evidence. Journal of Marketing Research, 13, 303-308.
Churchill, G. A., & C. Suprenant (1982). An investigation into the determainants of customer satisfaction. Journal of Marketing Research, 19, 491-504.
Chadwick, A., & C. May (2003). Interaction between states and citizens in the age of the Internet: E-government in the United States, Britain, and the European Union. Governance, 16(2), 271-300.
Cho, J. (2004). Likelihood to abort an online transaction: Influences from cognitive evaluations, attitudes, and behavioral variables. Information and Management, 41(7), 827-838.
Carter, L., & F. Bélanger (2004). The influence of perceived characteristics of innovating on e-goernment adoption. Electronic Journal of e-Government, 2(1), 11-20.
Carter, L., & F. Bélanger (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems, 15, 5-25.
Chang, I. C., Y. C. Li, W. F. Hung, & H. G. Hwang (2005). An empirical study on the impact of quality antecedents on tax payers' acceptance of internet tax-filing systems. Government Information Quarterly, 22, 389-410.
Chen, S. Y., & R. D. Macredie (2005). The assessment of usability of electronic shopping: A heuristic evaluation. International Journal of Information Management, 25(6), 516-532.
Cheung, C., & M. Limayem (2005). The role of habit in information systems continuance: Examining the evolving relationship between intention and usage. Proceedings of the 26th International Conference on Information Systems, Las Vegas, USA.
Colier, J. E., & C. C. Bienstock (2006). Measuring service quality in e-retailing. Journal of Service Research, 8(3), 260-275.
Calisir, F., & C. A. Gumussoy (2008). Internet banking versus other banking channels: Young consumers’ view. International Journal of Information Management, 28(3), 215-221.
Chai, S., T. C. Herath, I. Park, & H. R. Rao (2008). Repeated use of e-gov web sites: A satisfaction and confidentiality perspective. International Journal of Electronic Government Research, 2(3), 1-22.
Cho, V., T. C. E. Cheng, & H. Hung (2009). Continued usage of technology versus situational factors: An empirical analysis. Journal of Engineering and Technology Management, 26, 264-284.
Chen, Y. Y., H. L. Huang, Y. C. Hsu, H. C. Tseng, & Y. C. Lee (2010). Confirmation of expectations and satisfaction with the Internet shopping: The role of Internet self-efficacy. Computer and Information Science, 3(3), 14-22.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D., R. P. Bagozzi, & P. R. Warshaw (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
DeLone, W. H., & E. R. McLean (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
Danaher, P. J., & R. T. Rust (1996). Indirect financial benefits from service quality. Quality Management Journal, 3(2), 63-75.
Dabolkar, P. A., C. D. Shepard, & D. I. Thorpe (2000). A comprehensive framework for service quality: An investigation of critical conceptual and measurement issues through a longitudinal study. Journal of Retailing, 76(2), 139-173.
Devaraj, S., M. Fan, & R. Kohli (2002). Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research, 13(3), 316-333.
DeLone, W. H., & E. R. McLean (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
DeLone, W. H., & E. R. McLean (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success Model. International Journal of Electronic Commerce, 9(1), 31-47.
Fountain, J. E. (2001). Building the virtual state: Information technology and institutional Change. Washington, D. C.: Brookings Institution Press.
Ford, N., D. Miller, & N. Moss (2001). The role of individual differences in internet searching: An empirical study. Journal of American Society of Information Science and Technology, 52(12), 1049-1066.
Gronlund, A. (2002). Electronic government: Design, applications & management. London: Idea Group Publishing.
Giese, J. L., & J. A. Cote (2002). Defining consumer satisfaction. Retrieved August 13, 2011, from http://www.amsreview.org/articles/giese01-2000.pdf.
Gefen, D., P. A. Pavlou, G. M. Rise, & M. Warkentin (2002). E-government adoption. Proceedings of the 8th Americas Conference on Information Systems. Boston, M. A.
Gefen, D., E. Karahanna, & D. W. Straub (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
Gronlund, A., & T. A. Horan (2004). Introducing e-government: History, definitions, and issues. Communications of the Association for Information Systems, 15, 713-729.
Gupta, B., S. Dasgupta, & A. Gupta (2008). Adoption of ICT in a government organization in a developing country: An empirical study. Journal of Strategic Information Systems, 17, 140-154.
Helson, H. (1964). Adaptation Level Theory. New York: Harper & Row.
Howard, J. A., & J. N. Sheth (1969). The theory of buyer behavior. New York: John Wiley.
Hunt, H. K. (1977). CS/D-overview and future research directions. In H. K. Hunt (Ed.), Conceptualization and Measurement of Consumer Satisfaction and Dissatisfaction (pp.455-488). Marketing Science Institute, Cambridge, MA.
Hammer, M., & J. Champy (1993). Reengineering the corporation. Nicholas Brealy, London.
Hu, P. J., P. Y. K. Chau, O. R. L. Sheng, & K. Y. Tam (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112
Huang, M. H. (2000). Information load: Its relationship to online exploratory and shopping behavior. International Journal of Information Management, 20(5), 337-347.
Hsu, M. H., & C. M. Chiu (2004). Predicting electronic service continuance with a decomposed theory of planned behavior. Behavior & Information Technology, 23(5), 359-373.
Hsu, M. H., C. M. Chiu, & T. L. Ju (2004). Determinants of continued use of the WWW: An integration of two theoretical models. Industrial Management & Data Systems, 104(9), 766-775.
Hung, S. Y., C. M. Chang, & T. J. Yu (2006). Determinants of user acceptance of the e-government services: The case of online tax filing and payment system. Government Information Quarterly, 23, 97-122.
Hong, S. J., J. Y. L. Thong, & K. Y. Tam (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42, 1819-1834. 
Heinze, N., & Q. Hu (2006). The evolution of corporate web presence: A longitudinal study of large American companies. International Journal of Information Management, 26(4), 313-325.
Horst, M., M. Kuttschreuter, & J. M. Gutteling (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in the Netherlands. Computers in Human Behavior, 23, 1838-1852.
Hongxiu, L., & S. Reima (2009). A proposed scale for measuring e-service quality. International Journal of u-and e-Service, Science and Technology, 2(1), 1-10.
Hu, P., S. Brown, J. Thong, F. Chan, & K. Y. Tam (2009). Determinants of service quality and continuance intention of online services: The case of eTax. Journal of the American Society for Information Science and Technology, 60(2), 292-306.
Hussein, R., N. Mohamed, A. R. Ahlan, M. Mahmud, & U. Aditiawarman (2010). An integrated model on online tax adoption in Malaysia.  Proceedings of the European, Mediterranean & Middle Eastern Conference on Information Systems, Abu Dhabi, UAE.
Ives, B., M. H. Olson, & J. J. Baroudi (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
Jackson, C. M., S. Chow, & R. A. Leitch (1997). Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2), 357-389
Jiang, J., G. Klein, & C. Carr (2002). Measuring information systems service quality: SERVQUAL from the other side. MIS Quarterly, 26(2), 145-166.
Jayawardhena, C. (2004). Measurement of service quality in internet banking: The development of an instrument. Journal of Marketing Management, 20, 185-207.
Kettinger, W. J., & C. C. Lee (1995). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5/6), 737-765.
Karahanna, E., D. W. Straub, & N. L. Chervany (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-Adoption beliefs. MIS Quarterly, 23(2), 183-213.
Kim, J., & J. Lee (2002). Critical design factors for successful e-commerce systems. Behavior and Information Technology, 21(3), 185-189.
Kuo, Y. F. (2003). A study on service quality of virtual community web sites. Total Quality Management, 14(4), 461-473.
Koernig, S. K. (2003). E-scapes: The electronic physical environment and service tangibility. Psychology & Marketing, 20(2), 157-167.
King, S. F., & J. S. Liou (2004). A framework for internet channel evaluation. International Journal of Information Management, 24(6), 473-488.
Kim, S. S., & N. K. Malhotra (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying post-adoption phenomena. Management Science, 51(5), 741-755.
Kumar, V., B. Mukerji, I. Butt, & A. Persaud (2007). Factors for successful e-government adoption: A conceptual framework. The Electronic Journal of e-Government, 5(1), 63-76.
Kim, J. H., M. Kim, & J. Kandampully (2009). Buying environment characteristics in the context of e-service. European Journal of Marketing, 43(9/10), 1188-1204.
Kang, Y. S., S. Hong, & H. Lee (2009). Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25, 111-122.
LaTour, S. A., & N. C. Peat (1979). Conceptual and methodological issues in consumer satisfaction research. Advances in Consumer Research, 6, 431-437.
Liu, C., & K. P. Arnett (2000). Exploring the factors associated with web site success in the context of electronic commerce. Information & Management, 38(1), 23-33.
Lin, J. C., & H. Lu (2000). Towards an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20(3), 197-208.
Lociacono, E., R. T. Watson, & Goodhue. (2002). WebQual: Measure of web site quality. Marketing Educators Conference: Marketing Theory and Applications, 13, 432-437.
Li, Y. N., K. C. Tan, & M. Xie (2002). Measuring web-based service quality. Total Quality Management, 13(5), 685-700.
Limayem, M., C. Cheung, & G. Chan (2003). Explaining information systems adoption and post-adoption: Toward an integrative model. Proceedings of the 23rd International Conference on Information Systems, Seattle, Washington, USA.
Limayem, M., S. Hirt, & C. Cheung (2003). Habit in the context of IS continuance: Theory extension and scale development. Proceedings of the 11th European Conference on Information Systems, Naples, Italy.
Lee, G. G., & H. F. Lin (2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176.
Lin, C. S., S. Wu, & R. J. Tsai (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42, 683-693.
Lee, S. M., X. Tan, & S. Trimi (2005). Current practices of leading e-government countries. Communications of the ACM, 48(10), 99-104.
Liao, C., P. Palvia, & H. N. Lin (2006). The roles of habit and web site quality in　e-commerce. International Journal of Information Management, 26, 469-483.
Liao, C., P. L. To, & M. L. Shih (2006). Website practices: A comparison between the top 1000 companies in the US and Taiwan. International Journal of Information Management, 26(3), 196-211.
Landrum, H., V. R. Prybutok, & X. Zhang (2007). A comparison of magal’s service quality instrument with SERVPERF. Information & Management, 44(1), 104-113.
Liao, C., J. L. Chen, & D. C. Yen (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23, 2804-2822.
Limayem, M., & C. Cheung (2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information & Management, 45, 227-232.
Lopez-Nicolas, C., & F. J. Molina-Castillo (2008). Customer knowledge management and e-commerce: The role of customer perceived risk. International Journal of Information Management, 28, 102-113.
Landrum, H., V. Prybutok, X. Zhang, & D. Peak (2009). Measuring IS system service quality with SERVQUAL: Users’ perceptions of relative importance of the five SERVPERF dimensions. Informing Science: the International Journal of an Emerging Transdiscipline, 12, 17-35.
Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54, 506-516.
Limayem, M., & C. Cheung (2011). Predicting the continued use of Internet-based learning technologies: The role of habit. Behaviour & Information Technology, 30(1), 91-99.
Lee, Y., & O. Kwon (2011). Intimacy, familiarity and continuance intention: An extended expectation–confirmation model in web-based services. Electronic Commerce Research and Applications, 10, 342-357.
Lin, K. M., N. S. Chen, & K. Fang (2011). Understanding e-learning continuance intention: A negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77-89.
Lin, F., S. S. Fofanah, & D. Liang (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28, 271-279.
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
Myers, B., L. Kappelman, & V. R. Prybutok (1997). A comprehensive model for assessing the quality and productivity of the information systems function: Toward a theory for information systems assessment. Information Resource Management Journal, 10(1), 6-25.
Malhotra, Y., & D. F. Galletta (1999). Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Proceedings of the 32nd Hawaii International Conference on System Science, Maui, Hawaii, USA.
Miyazaki, A. D., & A. Fernandez (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer Affairs, 35(1), 27-44.
Meister, D., & D. R. Compeau (2002). Infusion of innovation adoption: An individual perspective. Proceedings of the 30th Annual conference of the Administrative Sciences Association of Canada (pp.23-33), Winnipeg, Manitoba.
Montoya-Weiss, M., G. Voss, & D. Grewall (2003). Determinants of online channel use and overall satisfaction with a relational multichannel service provider. Journal of the Academy of Marketing Science, 31(4), 448-458.
Mofleh, S. I., & M. Wanous (2008). Understanding factors influencing citizens’ adoption of e-government services in the developing world: Jordan as a case study. Journal of Computer Science, 7(2), 1-11.
Negash, S., T. Ryan, & M. Igbaria (2003). Quality and effectiveness in web-based customer support systems. Information and Management, 40(8), 757-768.
Nitse, P., K. Parker, D. Krumwiede, & T. Ottaway (2004). The impact of color in the e-commerce marketing of fashions: An exploratory study. European Journal of Marketing, 38(7), 898-915.
Nusair, K., & J. Kandampully (2008). The antecedents of customer satisfaction with online travel services: A conceptual model. European Business Review, 20(1), 4-19.
Oliver, R. L. (1980). A cognitive model for the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17, 460-469.
Oliver, R. L., & G. Linda (1981). Effect of satisfaction and its antecedents on consumer preference and intention. In K. B. Monroe (Ed.), Advances in Consumer Research, 8 (pp.88-93). Association for Consumer Research, Ann Arbor. Retrieved August 13, 2011, from
http://www.acrwebsite.org/volumes/display.asp?id=9746.
Oliver, R. L., & W. S. DeSarbo (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495-507.
Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20, 418-430.
O’Looney, J. A. (2002). Wiring governments: Challenges and possibilities for public managers. London: Quorum Books.
Organization for Economic Cooperation and Development (2003). Background paper: Implementing e-government in OECD countries: Experiences and challenge. Retrieved Dec 25, 2011, from
http://www.oecd.org/dataoecd/35/6/36853121.pdf.
Obi, M. C. (2009). Development and validation of a scale for measuring e-government user satisfaction. UMI dissertation publishing, ProQuest LLC, Nova Southeastern University.
Onita, C. G., & J. Dhaliwal (2010). Emotional and rational components of IS service satisfaction and their impact on IS service continuance. Proceedings of the 31st International Conference on Information Systems (pp. 1-12), St. Louis.
Parasuraman, A., V. A. Zeithaml, & L. L. Berry (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41-50.
Parasuraman, A., V. A. Zeithaml, & L. L. Berry (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Pitt, L. F., R. T. Watson, & C. B. Kavan (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187.
Pitt, L. F., R. T. Watson, & C. B. Kavan (1997). Measuring information systems service quality: Concerns for a complete canvas. MIS Quarterly, 21(2), 209-220.
Patterson, P. G., L. W. Johnson, & R. A. Spreng (1997). Modeling the determinants of customer satisfaction for business-to-business professional services. Journal of the Academy of Marketing Science, 25(1), 4-17.
Parthasarathy, M., & A. Bhattacherjee (1998). Understanding post-adoption behavior in the context of online services. Information Systems Research, 9(4), 362-379.
Pavlou, P. A. (2002). What drives electronic commerce? A theory of planned behavior perspective. Proceedings of the Academy of Management Conference, Denver, Colorado.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Pollard, C. (2003). Exploring continued and discontinued use of IT: A case study of option finder, a group support system. Group Decision and Negotiation, 12(3), 171-193.
Pires, G., J. Stanton, & A. Eckford (2004). Influences on the perceived risk of purchasing online. Journal of Consumer Behavior, 4(2), 118-131.
Phang, C. W., J. Sutanto, Y. Li, & A. Kankanhalli (2005). Senior citizens’ adoption of e-government: In quest of the antecedents of perceived usefulness. Proceedings of the 38th Hawaii International Conference on System Sciences, Big Island, Hawaii.Patel, H., & D. Jacobson (2008). Factors influencing citizen adoption of e-government: A review and critical assessment. Proceedings of the 16th European Conference on Information Systems, Galway, Ireland
Premkumar, G., & A. Bhattacherjee (2008). Explaining information technology usage: A test of competing models. International Journal of Management Science, 36(1), 64-75.
Qi, S., C. Ip, R. Leung, & R. Law (2010). A new framework on website evaluation. IEEE Proceedings of the International Conference on E-Business and E-Government (pp. 78-81). Guangzhou, China.
Rogers, E. (1995). Diffusion of innovations. New York: Free Press.
Rai, A., S. S. Lang, & R. B. Welker (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
Raney, A., L. Arpan, K. Pashupati, & D. Brill (2003). At the movies on the web: AnInvestigation of the effects of entertaining and interactive web content on site and brand evaluations. Journal of Interactive Marketing, 17(4), 38-53.
Roca, J. H., C. M. Chiu, & F. J. Artınez (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal Human-Computer Studies, 64, 683-696.
Swan, J. E., & I. F. Trawick (1981). Disconfirmation of expectations and satisfaction with a retail service. Journal of Retailing, 57, 49-67.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Saarinen, T. (1996). An expanded instrument for evaluating information system success. Information and Management, 31(2), 103-118.
Sedden, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
Santos, J. (2003). E-service quality: A model of virtual service dimensions. Managing Service Quality, 13(3), 233-247.
Sahadev, S., & K. Purani (2008). Modeling the consequences of e-service quality. Marketing Intelligence & Planning, 26(6), 605-620.
Sohn, C., & S. K. Tadisina (2008). Development of e-service quality measure for the internet-based financial institutions. Total Quality Management & Business Excellence, 19(9), 903-918.
Sørebø, O., & T. R. Eikebrokk (2008). Explaining IS continuance in environments where usage is mandatory. Computers in Human Behavior, 24, 2357-2371.
Singh, M., P. Sarkar, D. Dissanayake, & S. Pittachayawa (2008). Diffusion of e-government services in Australia: Citizens' perspectives. Proceedings of the 16th European Conference on Information Systems , Galway, Ireland
Susanto, T. D., & R. Goodwin (2010). Factors influencing citizen adoption of SMS-based e-government services. Electronic Journal of e-Government, 8(1), 55-71.
Suki, M. M., & T. Ramayah (2010). User acceptance of the e-government services in Malaysia: Structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge, and Management, 5, 395-413.
Shareef, M. A., N. Archer, V. Sharan, & V. Kumar (2010). Critical factors for adoption of e-government: Validity of adoption model in Indian context. In C. G. Reddick (Ed.), Comparative E-Government (pp.371-389). Integrated Series in Information Systems, 25, Springer, NY, USA.
Tse, D. K., & P. C. Wilton (1988). Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25, 204-212.
Taylor, S., & P. A. Todd (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Taylor, K. A. (1997). A regret theory approach to assessing consumer satisfaction. Marketing Letters, 8(2), 229-238.
Than, C. R., & E. Grandon (2002). An exploration examination of factors affecting online sales. Journal of Computer Information Systems, 42(3), 87-93.
Tong, J. P. C., V. G. Duffy, G. W. Cross, F. Tsung, & B. P. C. Yen (2005). Evaluating the industrial ergonomics of service quality for online recruitment websites. International Journal of Industrial Ergonomics, 35, 697-711.
Thong, J. Y. L., S. J. Hong, & K. Y. Tam (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64, 799-810.
Tan, C. M., I. Benbasat, & R. T. Cenfetelli (2008). Building citizen trust towards e-government services: Do high quality web sites matter? Proceedings of the 41st Hawaii International Conference on System Sciences, 1530-1605.
Teo, T., S. Shirish, & J. Li (2009). Trust and electronic government success: An empirical study. Journal of Management Information, 25(3), 99-131.
Udo, G., & G. Marquis (2002). Factors affecting e-commerce web sites effectiveness. Journal of Computer Information Systems, 42, 10-16.
United Nations & American Society for Public Administration (2002). Benchmarking e-government: A global perspective. Retrieved Dec 25, 2011, from
http://unpan1.un.org/intradoc/groups/public/documents/un/unpan021547.pdf.
United Nations (2003). World public sector report 2003: E-government at the crossroads. Retrieved Feb 26, 2011, from 
http://unpan1.un.org/intradoc/groups/public/documents/un/unpan012733.pdf.
Ueltschy, L. C., R. F. Krampf, & P. Yannopoulos (2004). A cross-national study of perceived consumer risk towards online (Internet) purchasing. Multinational Business Review, 12(2), 59-82.
Udo, G. J., K. K. Bagchi, & P. J. Kirs (2010). An assessment of customers' e-service quality perception, satisfaction and intention. International Journal of Information Management, 30, 481-492.
Venkatesh, V., & F. D. Davis (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
Venkatesh, V. & M. G. Morris (2000). Why don’t men ever stop to ask for directions? Gender, Social Influence, and their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24(1), 115-139.
Venkatesh, V., & F. D. Davis (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., M. G. Morris, G. B. Davis, & F. D. Davis (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Vatanasombut, B., M. Igbaria, A. C. Stylianou, & W. Rodgers (2008). Information systems continuance intention of web-based applications customers: The case of online banking. Information & Management, 45(7), 419-428.
Westbrook, R. A., & M. D. Reilly (1983). Value-percept disparity: An alternative to the disconfirmation of expectation theory of consumer satisfaction. In K. B. Monroe (Ed.), Advances in Consumer Research, 10 (pp.256-561). Association for Consumer Research, Ann Arbor. Retrieved August 13, 2011, from http://www.acrwebsite.org/volumes/display.asp?id=6120
Watson, R. T., L. F. Pitt, & C. B. Kavan (1998). Measuring information systems services quality: Lessons from two longitudinal case studies. MIS Quarterly, 22(1), 61-79.
Wolfinbarger, M. F., & M. C. Gilly (2001). Shopping online for freedom, control and fun. California Management Review, 43(2), 34-55.
Warkentin, M., D. Gefen, P. Pavlou, & G. Rose (2002). Encouraging citizen adoption of e-government by building trust. Electronic Markets, 12(3), 157-162.
World Bank (2005). A definition of e-government. Retrieved Feb 26, 2011, from 
http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTINFORMATIONANDCOMMUNICATIONANDTECHNOLOGIES/EXTEGOVERNMENT/0,,contentMDK:20507153~menuPK:702592~pagePK:148956~piPK:216618~theSitePK:702586,00.htmlWu, I. L., & J. L. Chen (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal Human-Computer Studies, 62, 784-808.
Wangpipatwong, S., W. Chutimaskul, & B. Papasratorn (2008). Understanding citizen’s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. The Electronic Journal of e-Government, 6(1), 55-64.
Yi, Y. (1990). A critical review of consumer satisfaction. In V. A. Zeithmal (Ed.), Review of Marketing, 4 (pp.68-123). American Marketing Association, Chicago.
Yang, Z. (2001). Consumer perceptions of service quality in internet-based electronic  commerce. Proceedings of the EMAC Conference (pp. 8-11), Bergen.
Yang, Z., R. T. Peterson, & L. Huang (2001). Taking the pulse of internet pharmacies. Marketing Health Services, 21(2), 5-10.
Yoo, B., & N. Donthu (2001). Developing a scale to measure perceived quality of an internet shopping site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31-46.
Yang, Z., & M. Jun (2002). Consumer perception of e-service quality: From internet purchaser and non purchaser perspectives. Journal of Business Strategies, 19(1), 19-41. 
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 & Management, 42(4), 575-589.
Yaghoubi, N. M., S. H. B. Beiglo, & R. Zare (2011). A survey on factors effecting continuity the use of government’ e-services. Australian Journal of Basic and Applied Sciences, 5(8), 209-220.
Zeithaml, V. A., A. Parasuraman, & L. L. Berry (1990). Delivering Quality Service: Balancing Customer Perceptions and Expectations. The Free Press.
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, 67-85.
Zeithaml, V. A., A. Parasuraman, & A. Malhotra (2000). E-service quality: Definition, dimensions and conceptual model. Cambridge, M.A.: Marketing Science Institute.
Zeithaml, V. A. (2002). Service excellent in electronic channels. Managing Service Quality, 12(3), 135-138.
Zhang, X., & V. R. Prybutok (2005). A consumer perspective of e-service quality. IEEE Transactions on Engineering Management, 52(4), 461-477.
Zhang, H., & X. Xu (2011). Integrating network externalities into expectation confirmation model for e-government services context. Retrieved Nov. 22, 2011, from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06006378.
Zhang, N., X. Guan, & Q. Meng (2011). Exploring different roles between service expectation and technology expectation in citizen’s e-government continuance adoption: An extended expectation-confirmation model. Proceedings of the 15th Pacific Asia Conference on Information Systems, Brisbane, Australia.