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題名 影響政府資料開放推動因素之探討
The Analysis of Organizational Factors Affecting Implementation for Open Government Data Policy作者 吳冠翰 貢獻者 朱斌妤
吳冠翰關鍵詞 電子治理
開放政府
政府資料開放
結構方程式
E-governance
open government
open government data
organizational factors
SEM日期 2016 上傳時間 2-九月-2016 00:43:55 (UTC+8) 摘要 近年來，政府治理的發展逐漸走向開放、公民參與的發展趨勢，政府資料開放(Open Government Data, OGD)成為政府、企業與公民社會共同關注的議題，政府資料的開放及加值，有助於提升大眾信任感，促進商業的創新發展，以及強化公民社會的協作功能，體現開放政府在透明、參與和協作之公共價值。 我國目前已針對政府資料開放作業原則、組織推動以及授權條款進行相關法規之訂定，機關資料集開放數量也逐漸成長，然而政府資料開放政策的落實，非只在於機關資料集數量的成長，須從整體開放政府的各環節進行投入與問題改善。故了解我國在政府資料開放政策的整備投入與影響人員推動因素之關係，將有助於機關在資料開放工作之推動。本研究提出影響推動政府資料開放政策之因素模型，使用三個機關(財政部、經濟部、內政部)之次級資料，透過結構方程式(Structural Equation Modeling, SEM)分析方法進行模型驗證，找出影響機關人員推動資料開放工作的關鍵因素，並探討三個機關資料開放策略之特性與人員推動之關係。 研究結果顯示，機關在行政及法規、組織開放文化及技術諮詢的支持，能提升人員對於資料開放工作之認同與控制能力，以及降低機關人員在資料開放工作的風險感受，則有助於提高人員的推動意願。本研究透過模型實證與三個機關分析結果，針對我國在資料開放法規面向、技能培訓策略規劃、提高人員認同度共識及重視資 參考文獻 Albano, C. S., & Reinhard, N. (2014). Open government data: Facilitating and motivating factors for coping with potential barriers in the Brazilian context. Proceedings of the International Conference on Electronic Government 8653, 181-193. Andersen, K. N., Medaglia, R., & Henriksen, H. Z. (2012). Social media in public health care: Impact domain propositions. Government Information Quarterly, 29(4), 462-469. Attard, J., Orlandi, F., Scerri, S. & Auer, S. (2015). A systematic review of open government data initiatives. Government Information Quarterly, 32(4), 399-418.Barry, E. & Bannister, F. (2014). Barriers to open data release: A view from the top. Information Polity, 19, 129-152.dos Santos Brito, K., da Silva Costa,M. A., Garcia, V. C., & de LemosMeira, S. R. (2014). Brazilian government open data: Implementation, challenges, and potential opportunities. Proceedings of the 15th Annual International Conference on Digital Government Research (pp. 11–16).Dulong de Rosnay, M., & Janssen, K. (2014). Legal and institutional challenges for opening data across public sectors: Towards common policy solutions. Journal Of Theoretical and Applied Electronic Commerce Research, 9, 1–14Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.Gonzalez-Zapata, F., & Heeks, R. (2015). The multiple meanings of open government data: Understanding different stakeholders and their perspectives. Government Information Quarterly, 32(4), 441-452. Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006).Multivariate date analysis (6th ed.). NJ: Prentice-Hall.Heeks, R. (2006). Benchmarking e-Government: Improving the national and international measurement, evaluation and comparison of e-Government. IDPM i-Government Working Paper, 18, 1-33.Hogge, B. (2010). Open Data Study. Retrieved from http://www.transparency-initiative.org/wp-content/uploads/2011/05/open_data_study_final1.pdfHuijboom, N. & Van de Borek, T. (2011). Open data: an international comparison of strategies. European Journal of ePractice, 12, 1-13.Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information System Management, 29, 258-268.Joel Gurin. (2014). Open data now: the secret to hot startups, smart investing, savvy marketing, and fast innovation. McGraw Hill Education.Jung, K., & Park, H.W. (2015) A semantic (TRIZ) network analysis of South Korea`s “Open Public Data” policy .Government Information Quarterly,32(3),353-358.Kalampokis, E., Tambouris, E., & Tarabanis, K. (2011). Open government data: A stage model. Proceedings of the International Conference on Electronic Government 6846, 235-246. Karolis Granickas. (2013). Understanding the impact of releasing and re-using open government data. Retrieved from http://www.epsiplatform.eu/sites/default/files/2013-08-Open_Data_Impact.pdfLee, G. & Kwak, Y. H. (2012). An open government maturity model for social media-based public engagement. Government Information Quarterly, 29(4), 492-503.Martin, S., Foulonneau, M., Turki, S., & Ihadjadene, M. (2013). Risk analysis to overcome barriers to open data. Electronic Journal on e-Government, 11(1), 348-359.OECD (2006).Digital broadband content: public sector information and content. Retrieved form http://www.oecd.org/sti/36481524.pdfOECD (2011).Open science: policy challenges and opportunities, Retrieved from http://www.oecd.org/sti/outlook/e-outlook/stipolicyprofiles/interactionsforinnovation/openscience.htm OGP (2015).About San Francisco, CA: Open Government Partnership . Retrieved from http://www.opengovpartnership.org/aboutOpen Data Institute (2015). Benchmarking open data automatically, Retrieved from https://theodi.org/guides/benchmarking-data-automaticallyParycek, P., Höchtl, J., & Ginner, M. (2014). Open government data implementation evaluation. Journal of Theoretical and Applied Electronic Commerce Research, 9(2), 80-99.Sayogo, D. S., Pardo, T. A., & Cook, M. (2014). A framework for benchmarking open government data efforts. Proceedings of the 47th Hawaii International Conference on System Sciences (pp. 1896-1905). Solar, M., Daniels, F., López, R. & Meijueiro, L. (2014). A model to guide the open government data implementation in public agencies. Journal of Universal Computer Science, 20(11), 1564-1582.Sunlight Foundation (2015). The social impact of open data, Retrieved from http://www.opendataresearch.org/dl/symposium2015/odrs2015-paper20.pdfUbaldi, B. (2013). Open government data towards empirical analysis of open government data initiatives, OECD Working Papers on Public Government, 22, 1-61.Venkatesh, V., Morris, M. G.., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-475.Verma, N., & Gupta, M.P. (2013). Open government data: beyond policy & portal, a study in Indian context. Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance (pp.338–341).Wirtz, B. W., Piehler, R., Thomas, M.-J., & Daiser, P. (2015). Resistance of public personnel to open government: a cognitive theory view of implementation barriers towards open government data. Public Management Review, 1-30. World Wide Web Foundation (2015). Open Data Barometer Global Report 2nd Edition, Retrieved from http://www.opendatabarometer.org/assets/downloads/Open%20Data%20Barometer%20-%20Global%20Report%20-%202nd%20Edition%20-%20PRINT.pdf Yu, H., & Robinson, D. G. (2012). The new ambiguity of open government, Retrieved from http://ssrn.com/abstract=2012489 Zuiderwijk, A., & Janssen, M. (2013). A coordination theory perspective to improve the use of open data in policy-making. Proceedings of the International Conference on Electronic Government 8074, 38-49.Zuiderwijk, A., & Janssen, M. (2014). Open data polices, their implementation and impact: A framework for comparison. Government Information Quarterly, 31, 17-29.Zuiderwijk, A., Janssen, M., & Davis, C. (2014). Innovation with open data: Essential elements of open data ecosystems. Information Policy, 19, 17-33. 朱斌妤 (2015)。政府資訊公開與加值運用之規劃與績效評估，行政院科技部專題研究計畫，未出版。朱斌妤、蕭乃沂 (2010)。電子治理績效模型與實證研究，行政院國家科學委員會研究計畫，未出版。朱斌妤、蕭乃沂、楊禮榮 (2013)。電子治理中政府對企業計畫(G2B)評估架構。行政暨政策學報，56，1-41。江思穎 (2014)。政府資料開放評估指標建立。國立政治大學公共行政學系碩士論文，未出版。余民寧 (2006)。潛在變項模式: SIMPLIS 的應用。臺北市：高等教育：知識達總經銷。邱皓政 (2004)。結構方程模式：LIRSEL的理論、技術與應用。臺北市：雙葉書廊有限公司。洪新原、梁定澎、張嘉銘 (2005)。科技接受模式之彙總研究，資訊管理學報，12(4)，211-234國家發展委員會 (2015)。政府資料開放進階行動方案。行政院第3465次院會會議簡報，取自：http://www.slideshare.net/releaseey/ss-52612225張家生 (2012)。從台北市看政府公開資料(open data)。研考雙月刊，36(4)，61-69。張偉豪、鄭時宜 (2012)。與結構方程模型共舞：曙光初現。高雄市：三星統計服務有限公司。陳舜伶、林珈宏、莊庭瑞 (2013)。藏智於民:開放政府資料的原則與現況，台北：中央研究院台灣創用CC計畫。項靖、陳曉慧、楊東謀、羅晉 (2015)。開放資料及其對政府治理與個人隱私影響之研究。台北市：國家發展委員會。項靖、楊東謀、羅晉、王慧茹 (2014)。政府資料開放加值營運模式之研究。台北市：國家發展委員會。黃東益、朱斌妤、蕭乃沂 (2009)。電子治理成效指標與評估：G2C與G2B，行政院研考會100年度電子治理委外服務計畫案。台北市；行政院研究發展考核委員會。楊東謀、羅晉、王慧茹、項靖 (2013)。國際政府數據開放實施現況初探。電子政務，126，16-25。資訊工業策進會 (2014)。主要國家「政府開放資料」機制與作法追蹤觀察報告（二）─日本。2015年12月25日，取自： http://opendata.tca.org.tw/content_detail.php?id=36蕭乃沂、羅晉 (2010)。電子化政府的價值鏈評估觀點：以數位台灣e化政府計畫為例。公共行政學報，36，1-39。蕭景燈 (2012)。資料開放發展現況與展望。研考雙月刊，36(4)，22-38。 描述 碩士
國立政治大學
公共行政學系
102256011資料來源 http://thesis.lib.nccu.edu.tw/record/#G0102256011 資料類型 thesis dc.contributor.advisor 朱斌妤 zh_TW dc.contributor.author (作者) 吳冠翰 zh_TW dc.creator (作者) 吳冠翰 zh_TW dc.date (日期) 2016 en_US dc.date.accessioned 2-九月-2016 00:43:55 (UTC+8) - dc.date.available 2-九月-2016 00:43:55 (UTC+8) - dc.date.issued (上傳時間) 2-九月-2016 00:43:55 (UTC+8) - dc.identifier (其他 識別碼) G0102256011 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/101162 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 公共行政學系 zh_TW dc.description (描述) 102256011 zh_TW dc.description.abstract (摘要) 近年來，政府治理的發展逐漸走向開放、公民參與的發展趨勢，政府資料開放(Open Government Data, OGD)成為政府、企業與公民社會共同關注的議題，政府資料的開放及加值，有助於提升大眾信任感，促進商業的創新發展，以及強化公民社會的協作功能，體現開放政府在透明、參與和協作之公共價值。 我國目前已針對政府資料開放作業原則、組織推動以及授權條款進行相關法規之訂定，機關資料集開放數量也逐漸成長，然而政府資料開放政策的落實，非只在於機關資料集數量的成長，須從整體開放政府的各環節進行投入與問題改善。故了解我國在政府資料開放政策的整備投入與影響人員推動因素之關係，將有助於機關在資料開放工作之推動。本研究提出影響推動政府資料開放政策之因素模型，使用三個機關(財政部、經濟部、內政部)之次級資料，透過結構方程式(Structural Equation Modeling, SEM)分析方法進行模型驗證，找出影響機關人員推動資料開放工作的關鍵因素，並探討三個機關資料開放策略之特性與人員推動之關係。 研究結果顯示，機關在行政及法規、組織開放文化及技術諮詢的支持，能提升人員對於資料開放工作之認同與控制能力，以及降低機關人員在資料開放工作的風險感受，則有助於提高人員的推動意願。本研究透過模型實證與三個機關分析結果，針對我國在資料開放法規面向、技能培訓策略規劃、提高人員認同度共識及重視資 zh_TW dc.description.tableofcontents 第一章 緒論 11.1 政府資料開放的重要發展趨勢 11.2 我國目前推動政府資料開放現況 31.3 研究目的與問題 61.4 研究流程與方法 7第二章 文獻回顧 82.1 政府資料開放的定義 82.2 重要國家在政府資料開放之推動 112.3 重要國際組織在資料開放之推動 182.4 政府資料開放政策評估研究 262.5 政府資料開放的阻礙與影響因素 30第三章 研究設計與方法 403.1 模型採用之理論構念 413.2 影響推動政府資料開放因素模型 473.3 次級資料介紹 523.4 資料分析方法 57第四章 資料分析 604.1 樣本資料分析 604.2 各衡量變項描述性統計分析 634.3 差異性分析 714.4 測量模型之驗證分析 824.5 影響推動政府資料開放因素模型之驗證 854.6 多樣本結構方程模式分析 93第五章 研究結論與建議 995.1 研究結論 995.2 政策建議 1065.3 研究限制與建議 109參考文獻 112 zh_TW dc.format.extent 2656705 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0102256011 en_US dc.subject (關鍵詞) 電子治理 zh_TW dc.subject (關鍵詞) 開放政府 zh_TW dc.subject (關鍵詞) 政府資料開放 zh_TW dc.subject (關鍵詞) 結構方程式 zh_TW dc.subject (關鍵詞) E-governance en_US dc.subject (關鍵詞) open government en_US dc.subject (關鍵詞) open government data en_US dc.subject (關鍵詞) organizational factors en_US dc.subject (關鍵詞) SEM en_US dc.title (題名) 影響政府資料開放推動因素之探討 zh_TW dc.title (題名) The Analysis of Organizational Factors Affecting Implementation for Open Government Data Policy en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Albano, C. S., & Reinhard, N. (2014). Open government data: Facilitating and motivating factors for coping with potential barriers in the Brazilian context. Proceedings of the International Conference on Electronic Government 8653, 181-193. Andersen, K. N., Medaglia, R., & Henriksen, H. Z. (2012). Social media in public health care: Impact domain propositions. Government Information Quarterly, 29(4), 462-469. Attard, J., Orlandi, F., Scerri, S. & Auer, S. (2015). A systematic review of open government data initiatives. Government Information Quarterly, 32(4), 399-418.Barry, E. & Bannister, F. (2014). Barriers to open data release: A view from the top. Information Polity, 19, 129-152.dos Santos Brito, K., da Silva Costa,M. A., Garcia, V. C., & de LemosMeira, S. R. (2014). Brazilian government open data: Implementation, challenges, and potential opportunities. Proceedings of the 15th Annual International Conference on Digital Government Research (pp. 11–16).Dulong de Rosnay, M., & Janssen, K. (2014). Legal and institutional challenges for opening data across public sectors: Towards common policy solutions. Journal Of Theoretical and Applied Electronic Commerce Research, 9, 1–14Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50.Gonzalez-Zapata, F., & Heeks, R. (2015). The multiple meanings of open government data: Understanding different stakeholders and their perspectives. Government Information Quarterly, 32(4), 441-452. Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006).Multivariate date analysis (6th ed.). NJ: Prentice-Hall.Heeks, R. (2006). Benchmarking e-Government: Improving the national and international measurement, evaluation and comparison of e-Government. IDPM i-Government Working Paper, 18, 1-33.Hogge, B. (2010). Open Data Study. Retrieved from http://www.transparency-initiative.org/wp-content/uploads/2011/05/open_data_study_final1.pdfHuijboom, N. & Van de Borek, T. (2011). Open data: an international comparison of strategies. European Journal of ePractice, 12, 1-13.Janssen, M., Charalabidis, Y., & Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information System Management, 29, 258-268.Joel Gurin. (2014). Open data now: the secret to hot startups, smart investing, savvy marketing, and fast innovation. McGraw Hill Education.Jung, K., & Park, H.W. (2015) A semantic (TRIZ) network analysis of South Korea`s “Open Public Data” policy .Government Information Quarterly,32(3),353-358.Kalampokis, E., Tambouris, E., & Tarabanis, K. (2011). Open government data: A stage model. Proceedings of the International Conference on Electronic Government 6846, 235-246. Karolis Granickas. (2013). Understanding the impact of releasing and re-using open government data. Retrieved from http://www.epsiplatform.eu/sites/default/files/2013-08-Open_Data_Impact.pdfLee, G. & Kwak, Y. H. (2012). An open government maturity model for social media-based public engagement. Government Information Quarterly, 29(4), 492-503.Martin, S., Foulonneau, M., Turki, S., & Ihadjadene, M. (2013). Risk analysis to overcome barriers to open data. Electronic Journal on e-Government, 11(1), 348-359.OECD (2006).Digital broadband content: public sector information and content. Retrieved form http://www.oecd.org/sti/36481524.pdfOECD (2011).Open science: policy challenges and opportunities, Retrieved from http://www.oecd.org/sti/outlook/e-outlook/stipolicyprofiles/interactionsforinnovation/openscience.htm OGP (2015).About San Francisco, CA: Open Government Partnership . Retrieved from http://www.opengovpartnership.org/aboutOpen Data Institute (2015). Benchmarking open data automatically, Retrieved from https://theodi.org/guides/benchmarking-data-automaticallyParycek, P., Höchtl, J., & Ginner, M. (2014). Open government data implementation evaluation. Journal of Theoretical and Applied Electronic Commerce Research, 9(2), 80-99.Sayogo, D. S., Pardo, T. A., & Cook, M. (2014). A framework for benchmarking open government data efforts. Proceedings of the 47th Hawaii International Conference on System Sciences (pp. 1896-1905). Solar, M., Daniels, F., López, R. & Meijueiro, L. (2014). A model to guide the open government data implementation in public agencies. Journal of Universal Computer Science, 20(11), 1564-1582.Sunlight Foundation (2015). The social impact of open data, Retrieved from http://www.opendataresearch.org/dl/symposium2015/odrs2015-paper20.pdfUbaldi, B. (2013). Open government data towards empirical analysis of open government data initiatives, OECD Working Papers on Public Government, 22, 1-61.Venkatesh, V., Morris, M. 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