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研究生: 羅傑帆
Chieh-Fan Lo
論文名稱: 影響自然人憑證使用意願之因素探討
A study on factors of intention to use Citizen Digital Certificate
指導教授: 宋鎧
Kai Sung
口試委員:
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理學系
Department of Information Management
畢業學年度: 94
語文別: 中文
論文頁數: 99
中文關鍵詞: 自然人憑證電子化政府探索性因素分析
外文關鍵詞: Exploratory Factory Analysis, Citizen Digital Certificate, E-government
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  • 近年來,隨著網際網路技術的快速發展以及普遍應用,越來越多的人開始使用網路,而網路頻寬的增加,也使得在網路上可以提供的服務越來越多樣化。各國的政府為了提升國家競爭力,開始積極推動電子化政府,利用網路提供更多便民的服務。
    自然人憑證是政府於民國92年推出了以公開金鑰基礎建設 (Public Key Infrastructure, PKI) 為基礎推出的,幫助政府解決透過網路提供電子化服務時的兩個難題:(一)難以確認網路上使用者的的身份,(二)無法確保資料在網路上傳輸的安全性。然而,自然人憑證推動至今已經三年多,但是根據資策會MIC (民95) 的調查報告指出,聽過自然人憑證的民眾只有21.4%,申辦的只有5.9%,而使用的人只有3.3%,可見民眾對於自然人憑證的認知、申辦以及使用情形並不普遍。
    本研究整合不同領域的理論研究,進行探索性的研究分析,希望能瞭解民眾運用自然人憑證使用電子化服務意願之關鍵因素。研究結果找出12個影響民眾使用自然人憑證意願的關鍵因素。之後更進一步探討不同型態的電子化服務以及不同特性的民眾,影響他們使用自然人憑證意願的關鍵因素之差異。結果發現只有在民眾對於自然人憑證認知程度的不同,影響他們使用自然人憑證的因素差異較大。也就是民眾對於自然人憑證認知的不同,決定了民眾使用自然人憑證的行為意圖。


    As the great progress and applications of Internet these years, more and more people start using Internet. While the bandwidth of Internet improved, we could provide various kinds of service than before. For increasing competitiveness, many governments begin to build electronic government (e-government) actively and provide more services through Internet for their people.
    Citizen Digital Certificate (CDC) based on Public Key Infrastructure (PKI) was implemented in 2003. The government could solve two difficult problems through CDC: (1) the identification of Internet users, and (2) the security of data transmission through Internet. CDC has been implemented for three years, however, according to the report of MIC (2006), there were only 21.4% people have heard CDC, 5.9% people have applied for CDC, and there are only 3.3% people have used CDC. As a result, we know that the recognition, application, and usage from general public are not widespread.
    This thesis integrates many theories and research results from different domains. We use Exploratory Factor Analysis to find out the reasons and critical factors why the common usage of CDC is not widespread yet. We identified 12 critical factors and did further analysis in this research. The results showing that general public have different intention to use CDC according to their recognitions on CDC.

    第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 研究流程 4 第二章 文獻探討 7 第一節 電子化政府 7 第二節 自然人憑證與公開金鑰基礎建設 21 第三節 科技接受理論 24 第四節 創新理論 32 第三章 研究方法 34 第一節 研究架構 34 第二節 研究設計 40 第三節 資料分析方法與工具 48 第四章 資料分析與結果 50 第一節 樣本資料分析 50 第二節 因素分析 51 第三節 迴歸分析 54 第四節 集群分析 56 第五節 分群迴歸分析 58 第五章 結論與建議 69 第一節 研究結論 69 第二節 研究貢獻 77 第三節 研究限制 82 第四節 未來研究建議 83 參考文獻 84 附錄 88

    一、中文文獻:
    1 行政院研考會 (民90) ,電子化政府推動方案 (90-93) 。
    2 行政院研考會 (民94) ,「電子化政府推動計畫」。http://www.rdec.gov.tw/ct.asp?xItem=13157&ctNode=5563
    3 行政院研考會 (民94) ,電子化政府報告書 (93-94年度) 。http://www.rdec.gov.tw/public/egov/9408/enter.html .
    4 亞洲公開金鑰基礎建設論壇中華台北推動委員會 (民91) ,「何謂PKI」。 http://www.pki.org.tw/ .
    5 內政部憑證管理中心 (民94) ,「什麼是自然人憑證」。 http://moica.nat.gov.tw/html/index.htm .
    6 行政院研考會 (民94) ,「民眾對電子化政府相關議題的看法 (民意調查) 」。 http://www.rdec.gov.tw/ct.asp?xItem=16193andctNode=3532 .
    7 內政部自然人憑證中心 (民91) ,內政部自然人憑證發證計畫。
    8 資策會MIC (民94) ,自然人憑證應用推廣策略及相關法規配套措施委外規劃建議書。
    9 資策會MIC (民95) ,自然人憑證應用推廣策略及相關法規配套措施委外規劃期末報告。
    10 謝政益 (民92) ,網路電話接受度之研究,國立台灣科技大學資訊管理學系碩士論文。
    11 尤婷靜 (民92) ,影響網路報稅接受意向之關鍵因素:三種理論模式之比較,國立中正大學資訊管理研究所碩士論文。
    二、英文文獻:
    1 Ajzen, I. (1985), “From intentions to actions: A theory of planned behavior,” In Kuhl, J. and Beckmann, J., (Eds), Action-Control: From Cognition to Behavior, Heidelberg: Springer, pp. 11–39.
    2 Ajzen, I. (1991), “The theory of planned behavior,” Behavior and Human Decision Processes, 50, pp. 179-211.
    3 Ajzen, I. (2005), http://www-unix.oit.umass.edu/~aizen/ .
    4 American Society for Public Administration (ASPA) (2002), Benchmarking E-government: A Global Perspective, United Nations.
    5 Anderberg M.R. (1973), Cluster analysis for applications, New York: Academic Press.
    6 Bandura, A. (1977), “Self-efficacy: Toward a unifying theory of behavioral change,” Psychological Review, 84(2), pp. 191-215.
    7 B?langer, F. and Hiller, J. (2006), “A framework for e-government: Privacy implications,” Business Process Management Journal, 12(1), pp. 48-60.
    8 B?langer, F., Hiller, J. and Smith, W. (2002), “Trustworthiness in electronic commerce: the role of privacy, security, and site attributes,” Journal of Strategic Information Systems, 11, pp. 245-270.
    9 Bhattacherjee, A. (2000), “Acceptance of e-commerce services: The case of electronic brokerages,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans,” 30(4), pp. 411-420.
    10 Brown University Taubman Center for Public Policy (2005), Global e-Government Report 2005, Brown University Taubman Center Policy Report.
    11 Carter, L. and B?langer, F. (2005), “The utilization of e-government services: citizen trust, innovation and acceptance factors,” Information Systems Journal, 15, pp. 5-25.
    12 Chadwick, S. (2001), “Communicating trust in e-commerce interactions,” Management Communication Quarterly, 14, pp. 653-658.
    13 Dabholkar, P.A. (1996), “Consumer evaluations of new technology-based self-service options: an investigation of alternative models of service quality,” International Journal of Research in Marketing, 13, pp. 29-51.
    14 Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, pp.319-340.
    15 Fishbein, M. and Ajzen, I. (1975), Belief, attitude, intention and behavior: An introduction to theory and research, Massachusetts: Addison-Wesley.
    16 Gefen, D., Pavlou, P.A., Warkentin, M., and Rose, G.M. (2002), “eGovernment adoption,” 8th Americas Conference on Information Systems, pp. 569-576.
    17 Gefen, D. and Straub, D.W. (2004), “Consumer trust in B2C e-Commerce and the important of social presence: Experiments in e-products and e-Services,” Omega, 32, pp. 407-424.
    18 General Accounting Office (GAO) (2001), “Electronic government: Challenges must be addressed with effective leadership and management,” Washington, DC: US Government Printing, GAO-01-959T.
    19 Gerson, V. (1998), “Service with more than a smile,” Bank Marketing, 30(8), pp. 32-6.
    20 Global E-Government Press Release (2005), “Brown University Policy Reports,” Brown University, http://www.insidepolitics.org/policyreports.html .
    21 Huang, W.D., Ambra, J, and Bhalla, V. (2002), “Key factors influencing the adoption of e-government in Australian public sectors,” 8th Americas Conference on Information Systems, pp. 577-579.
    22 Laio, Z., and Cheung, M.T. (2002), “Internet-based e-banking and consumer attitudes: an empirical study,” Information and Management, 39, pp. 283-295
    23 Marchionini, G., Samet, H., and Brandt, L. (2003), “Digital government,” Association for Computing Machinery. Communications of the ACM New York, Vol. 46, Iss. 1, pp. 24-27.
    24 McDougall, G.H.G. and Levesque, T.J. (1994), “Benefit segmentation using service quality dimensions: an investigation in retail banking,” International Journal of Bank Marketing, 12(2), pp. 15-23.
    25 Meuter, M., Ostrom, A., Roundtree, R., and Bitner, M. (2000), “Self-service technologies: understanding customer satisfaction with technology-based service encounters,” Journal of Marketing, 64(3), pp. 50-64.
    26 Milne, G.P. and Culnan, M.J. (2004), “Strategies for reducing online private risks: why consumers read (or don’t read) online privacy notices,” Journal of Interactive Marketing, 18(3), pp. 15-29.
    27 Miyazaki, A. and Fernandez, A. (2001), “Consumer perceptions of privacy and security risks for online shopping,” Journal of Consumer Affairs, 35, pp. 27-44.
    28 Moore, G.C., and Benbasat, I. (1991), “Development of an instrument to measure the perceptions of adopting an information technology innovation,” Information Systems Research, 2(3), pp. 192-222.
    29 Moore, T. (2005), “Do consumers understand the role of privacy seals in e-Commerce?” Communications of the ACM, 48(3), pp. 86-91.
    30 Parasuraman, A. (2000), “Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies,” Journal of Service Research, 2(4), pp. 307-320.
    31 Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988), “SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality,” Journal of Retailing, 64(1), pp. 12-40.
    32 Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1991), “Refinement and reassessment of the SERVQUAL scale,” Journal of Retailing, 67(4), pp. 420-50.
    33 Rogers, E.M, (1983) Diffusion of Innovations, 3rd ed. New York: Free press.
    34 Rogers, E.M, (1995) Diffusion of Innovations, 4th ed. New York: Free press.
    35 Rogers, E.M, (2003) Diffusion of Innovations, 5th ed. New York: Free press.
    36 Stone, R.N. and Gr?nhaug, K (1993), “Perceived Risk: Further Considerations for the Marketing Discipline,” European Journal of Marketing, 27(3), pp. 39-50.
    37 Taylor, S. and Todd, P.A. (1995), “Understanding information technology usage: A test of competing models,” Information Systems Research, 6(2), pp. 144-176.
    38 United Nations Department of Economic and Social Affairs (UN/DESA) (2003)'', World Public Sector Report: E-government at the Crossroads, United Nations.
    39 Warkentin, M., Gefen, D., Pavlou, P.A., and Rose, G.M. (2002), “Encouraging citizen adoption of e-government by building trust,” Electronic Markets, 12(3), pp. 157-162.
    40 Westin, A. (1967), Privacy and Freedom, New York: Athenaeum.
    41 Yen, H.R. (2005), “An attribute-based model of quality satisfaction for internet self-service technology,” The Service Industries Journal, 25(5), pp. 641-659.
    42 Zue, F.X., Wymer, W., and Chen, I. (2002), “IT-based services and service quality in consumer banking,” International Journal of Service Industry Management, 13(1), pp. 69-90.

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