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Title: | 從資料治理看政府數位轉型: 以聊天機器人在政府部門之應用為例 A Study of Government Digital Transformation from Data Governance Perspective : Using Government Chatbots Applications as An Example |
Authors: | 許博雅 Hsu, Bo-Ya |
Contributors: | 陳敦源 Chen,Don-yun 許博雅 Hsu, Bo-Ya |
Keywords: | 政府數位轉型 數位治理 人工智慧 智能機器人 智能客服 Government digital transformation Digital governance Artificial intelligence Intelligent robots Intelligent conversational agents |
Date: | 2022 |
Issue Date: | 2022-08-01 18:34:35 (UTC+8) |
Abstract: | 近年來不論政府或民間企業皆積極投入數位轉型,強調透過數位科技的應用,例如大數據、人工智慧、區塊鏈等,改變業務處理流程提升工作效率、發展以使用者為中心的產品或服務,創造更大的價值與競爭力。事實上,政府欲達成數位轉型,邁向智慧政府,資料治理工作到位與否為重要關鍵。
資料治理的範疇大至整個政府部門的資料管理,小至每一項政府服務的運作,為了能具體了解目前政府資料治理的情形,本研究以近期備受重視的聊天機器人為主題,採用個案研究的方式,挑選三個已導入使用的稅務機關,分別是財政部中區國稅局、臺中市政府地方稅務局及桃園市政府地方稅務局,透過深度訪談法及文獻分析法,從中探索政府機關導入數位服務的關鍵因素、資料治理過程及聊天機器人運作情形。
研究結果發現,目前稅務機關使用聊天機器人有四大現象,首先,機關考量經費和時間,選擇購買廠商公版軟體及租用廠商雲端平台;其次,以個別專案的方式導入聊天機器人服務,未考慮機關整體的資料治理架構;第三,將聊天機器人定位在回答簡單、重複性高的問題,缺乏資料分析與應用;最後,機關未積極蒐集使用者回饋,影響聊天機器人功能優化。
為建構導入聊天機器人服務需考慮的項目,從人力協作面、資料處理面及系統應用面進行研究,為建構導入聊天機器人服務需考慮的項目,期望作為政府數位服務執行資料治理的參考,透過系統性的評估與檢視,進而提升聊天機器人服務效益。 In recent years, both governments and private enterprises have been actively investing in digital transformation, emphasizing the applications of digital technologies including big data, artificial intelligence, and blockchain to transform business processes, improve efficiency, and develop user-centered products or services to create greater value and competitiveness. In fact, if the government intends to achieve digital transformation and move towards a smart government, it is crucial to have data governance in place.
The scope of data governance ranges from the management of data across government departments to the operation of each government service. In order to understand the current situation of government data governance, this study adopts a case study approach focusing on the recent emphasis on chatbots through studying three tax agencies that have already been using chatbots. The case studies were conducted in the National Taxation Bureau of the Central Area, Ministry of Finance, the Local Tax Bureau of Taichung City Government and the Department of Taxation of Taoyuan City Government. Through in-depth interviews and documentary analysis, the key factors of digital service implementation, data governance process, and chatbot operation in government agencies were explored.
The study found that there are four main phenomena regarding the current use of chatbots by tax agencies. First, the agencies choose to purchase the manufacturers’ public domain software and rent the manufacturers’ cloud platform in consideration of funding and time; second, they import chatbots as individual projects without considering the overall data governance structure of the agencies; third, they position chatbots to answer simple and highly repetitive questions, lacking data analysis and applications; and finally, the agencies do not actively collect user feedback, which affects the optimization of chatbots’ functions.
The items to be considered for the construction of chatbot service implementation are examined in terms of personnel collaboration, data processing, and system application. It is expected that these items will serve as a reference for data governance in the implementation of government digital services. It is also hoped that the effectiveness of chatbot services will be further enhanced through systematic evaluations and reviews. |
Reference: | 丁玉珍、林子倫(2020)。人工智慧提升政府公共治理的應用潛力探 討。檔案半年刊,19(2),24-41。 王昊奮(2019)。自然語言處理實踐:聊天機器人技術原理與應用。上海:電子工業出版社。 行政院(2016)。數位國家‧創新經濟發展方案(2017-2025年)。2021年9月10日,取自: https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/f4d3319a-e2d7-4a8b-8b55-26c936804b5b。 行政院 (2018)。台灣AI行動計畫—掌握契機,全面啟動產業AI化。2022年5月21日,取自:https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/a8ec407c-6154-4c14-8f1e-d494ec2dbf23。 行政院(2021a)。行政院說明數位發展部組織與人力編制議題。2021年9月10日,取自:https://www.ey.gov.tw/Page/9277F759E41CCD91/23de5608-8935-4204-957b-0fcebbe7890b。 行政院(2021b)。智慧國家方案(2021-2025年)。2022年5月10日,取自:https://www.ey.gov.tw/achievement/5B6F7E717F7BADCE。 朱斌妤 (2021)。因應開放資料後的政府資料治理策略與績效(第3年)。科技部補助專題研究計畫報告,未出版,台北。 李洛維、朱斌妤(2021)。推動服務型智慧政府的核心引擎:資料治理的挑戰與對策。文官制度。文官制度,13(2),115-151。 周海濤、李永賢、張蘅(譯)(2009)。個案研究:設計與方法(Robert K. Yin 原著)。台北:五南。 紐文英(2013)。研究方法與論文寫作—量化與質性方法之應用。台北:三民。 馬翊(2020)。社群聊天機器人互動率探究與使用者行為分析。國立政治大學數位內容碩士學位學程碩士論文,未出版,台北。 張孟駸(2019)。0 門檻!0 負擔!9 天秒懂大數據 & AI 用語。台北:博碩。 開放文化基金會(2017)。開放政府觀察報告(2014-2016年)。2021年11月13日,取自:http://opengovreport.ocf.tw/report/#tab-0。 國家發展委員會(2019)。智慧政府行動方案。2021年9月10日,取自:https://www.ndc.gov.tw/Content_List.aspx?n=589F7971894A9B51。 國家發展委員會(2020)。服務型智慧政府2.0推動計畫 (110年-114年)。2021年9月10日,取自:https://www.ndc.gov.tw/Content_List.aspx?n=C531757D5FE32 950。 陳向明(2009)。社會科學質的研究。台北:五南。 陳俊明、黃東益、蔣麗君、朱斌妤、李仲彬、張鎧如、洪永泰、游佳萍(2014)。數位國家治理:國情分析架構與方法(編號:RDEC-MIS-102-001)。台北:國家發展委員會。 陳敦源、朱斌妤、蕭乃沂、黃東益、廖洲棚、曾憲立(2020)。政府數位轉型:一本必讀的入門書。台北:五南。 陳敦源、陳揚中(2016)。政府機關運用臉書進行公民接觸之理論與實務:以考選部為例,國家菁英季刊,12(2),96-116。 曾冠球、陳敦源、胡龍騰(2009)。推動公民導向的電子化政府:願景或幻想,公共行政學報,33,1-44。 黃敏瑜(2020)。Smart City的進化:Super City。2021年9月11日,取自:https://stli.iii.org.tw/article-detail.aspx?no=55&tp=5&i=180&d=8403#。 廖興中、賴怡樺、蔡雅琄(2021)。公務人員數位治理職能培訓之研究—以公務人員保障暨培訓委員會法定訓練對象為例。台北:公務人員保障暨培訓委員會。 潘中道、胡龍騰、蘇文賢(2014)。研究方法:步驟化學習指南(第二版)。台北市:學富文化。 衛生福利部疾病管制署(2021)。雙語聊天機器人「防疫專家」加入防疫,掌握全球疫情更給力,2021年10月20日,取自:https://www.cdc.gov.tw/Category/ ListContent/EmXemht4IT-IRAPrAnyG9A?uaid=oQJeZwPSJ746M4hT3uhwUQ。 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,36,1-37。 簡宏偉(2015)。資料新政之構想與規劃。國土及公共治理季刊,3(4),7-16。
Abraham, R., Schneider, J., & Brocke, J. V. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49, 424-438. Adamopoulou, E. & Moussiades, L. (2020). Chatbots: History, technology, and applications, Mach. Learn. with Appl., vol. 2, 100006. Ahn, M. J., & Chen, Y.C. (2021). Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government. Government Information Quarterly, 39(2), 101664. Al-Ruithe, M., & Benkhelifa, E. (2017). Analysis and classification of barriers and critical success factors for implementing a cloud data governance strategy. In Proceedings of the 8th International Conference on Emerging Ubiquitous System and Pervasive Networks. Sweden. Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358-367. Aoki, N. (2020). An experimental study of public trust in AI chatbots in the public sector. Government Information Quarterly, 37(4), 101490. Business Insider (2016). The ATO’s virtual assistant has already answered almost a million enquiries this year. Retrieved October 3, 2021, from https://www.businessinsider.com. au/the-ato-launched-a-siri-for-tax-and-has-called-it-alex-2016-12. Bundin, M., Martynov, A., & Shireeva, E. (2018). On the Way to Legal Framework for AI in Public Sector. In Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, 682-684. Chen, Q., Gong, Y., Lu, Y., & Tang, J. (2022). Classifying and measuring the service quality of AI chatbot in frontline service. Journal of Business Research. 145, 552-568. Cheong, L. K., & Chang, V. (2007). The need for data governance: A case study. 18th Australasian Conference on Information System, 999-1008. de Sousa, W. G., de Melo, E. R. P., Bermejo, P. H. D. S., Farias, R. A. S. & Gomes, A.O. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4), 101392. Dutton, T. (2018). An overview of national AI strategies. Retrieved October 15, 2021, from https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd. Dwivedi, Y. K., Janssen, M., Slade, E. L., Rana, N. P., Weerakkody, V., Millard, J., & Snijders, D. (2017). Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling. Information Systems Frontiers, 19(2), 197-212. Eggers, W. D., Schatsky, D., & Viechnicki, P. (2017). AI-augmented government:Using cognitive technologies to redesign public sector work. Retrieved October 28, 2021, from https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/artificial-intelligence-government.html. El Arass, M., & Souissi, N. (2018). Data Lifecycle: From Big Data to Smart Data. 2018 IEEE 5th International Congress on Information Science and Technology (CiSt), 80-87. European Commission (2019). Policy and investment recommendations for trustworthy artificial intelligence. Retrieved October 10, 2021, from https://digital-strategy.ec.europa.eu/en/library/policy-and-investment-recommendations-trustworthy-artifical-intelligence. Grand View Research (2021). Chatbot Market Size Worth $2,485.7 Million By 2028 | CAGR: 24.9%. Retrieved May 1, 2022, from https://www.grandviewresearch.com/ press-release/global-chatbot-market. Henman, P. (2020) Improving public services using artificial intelligence: possibilities, pitfalls, governance. Asia Pacific Journal of Public Administration, 42(4), 209-221. Hurbans, R. (2020). Grokking Artificial Intelligence Algorithms. Manning Publications. IBM (2013). The fundamentals of data lifecycle management in the era of big data: How data lifecycle management complements a data strategy. Retrieved December 15, 2021, from http://hosteddocs.ittoolbox.com/TheFundimentals.PDF. Janssen, M., & van den Hoven, J. (2015). Big and open linked data (BOLD) in government: a challenge to transparency and privacy? Government Information Quarterly, 32 (4), 363-368. Katsonis, M., & Botros, A. (2015). Digital Government: A Primer and Professional Perspectives. Australian Journal of Public Administration, 74(1), 42-52. Khadpe, P., Krishna, R., Li, Fei-Fei, Hancock, J. T., & Bernstein, M. S. (2020). Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1–26. Khan, N., Yaqoob, I., Abaker, I., Hashem, T., Inayat, Z., Kamaleldin, W., Mahmoud, A., Alam, M., Shiraz, M., & Gani, A. (2014). Big Data: Survey, Technologies, Opportunities, and Challenges. The Scientific World Journal, vol. 2014. Khatri, V. & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148-152. Kourik, J. L., & Wang, J. (2017). The Intersection of Big Data and the Data Life Cycle: Impact on Data Management. International Journal of Knowledge Engineering, 3(2), 32-36. Kum, H. C., Stewart, C. J., Rose, R. A., & Duncan, D. F. (2015). Using big data for evidence based governance in child welfare. Children and Youth Services Review, 58, 127-136. Ladley, J. (2012). Data Governance: How to Design, Deploy, and Sustain An Effective Data Governance Program. Waltham, MA: Morgan Kaufmann. Lee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business Horizons 60(3), 293-303. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills, CA: Sage. Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., Hinz, O., Morana, S., & Söllner, M. (2019). AI-Based Digital Assistants: Opportunities, Threats, and Research Perspektives. Business & Information Systems Engineering , 61(4), 535-544. McKinsey & Company (2018). Unlocking success in digital transformations. Retrieved February 5, 2022 from https://www.mckinsey.com/~/media/McKinsey/ Business%20Functions/Organization/Our%20Insights/Unlocking%20success%20in%20digital%20transformations/Unlocking-success-in-digital-transformations.ashx. Mehr, H. (2017). Artificial Intelligence for Citizen Services and Government. Ash Center for Democratic Governance and Innovation at Harvard Kennedy School. Retrieved November 20, 2021, from https://ash.harvard.edu/publications/artificial-intelligence- citizen-services-and-government. Meijer, A. J., Curtin, D., & Hillebrandt, M. (2012). Open government: Connecting vision and voice. International Review of Administrative Sciences, 78(1), 10-29. Meyer von Wolff, R., Hobert, S., & Schumann, M. (2022). Chatbot Introduction and Operation in Enterprises – A Design Science Research-based Structured Procedure Model for Chatbot Projects. Proceedings of the 55th Hawaii International Conference on System Sciences. 5933-5942. Miller, B. (2021). Government Chatbots Now a Necessity for States, Cities, Counties. Retrieved November 5, 2021, from https://www.govtech.com/products/government- chatbots-now-a-necessity-for-states-cities-counties.html. National Research Foundation (2018). AI Singapore. Retrieved November 19, 2021, from https://www.nrf.gov.sg/programmes/artificial-intelligence-r-d-programme. Natarajan, A., & Bogaraj, T. (2022). Development of Artificial Intelligence Based Chat bot for Project Assistance in Automotive Applications. Journal of Science and Technology, 7(1),62-72. Nirala, K. K., Singh N. K., & Purani V. S. (2022). A survey on providing customer and public administration based services using AI: chatbot. Multimedia Tools and Applications. OECD (2014). Recommendation of the Council on Digital Government Strategies. Paris: OECD Publishing. Retrieved October 10, 2021, from https://legalinstruments.oecd. org/en/instruments/OECD-LEGAL-0406. Reshmi, S., & Balakrishnan, K. (2016). Implementation of an inquisitive chatbot for database supported knowledge bases. Sadhana 41(10), 1173-1178. SAS Institute Inc. (2018). The SAS® Data Governance Framework: A Blueprint for Success. Retrieved December 22, 2021, from https://www.sas.com/en_gb/insights/articles/data-management/what-is-a-data-governance-framework.html. Sean, B. (2020). Chatbot History: What is SmarterChild. Retrieved December 17, 2021, from https://yakbots.com/chatbot-history-what-is-smarterchild/. Singh, V., Srivastava, I., & Johri,V. (2014). Big data and the opportunities and challenges for government agencies. International Journal of Computer Science and Information Technologies, 5(4), 5841-5824. Straus, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage Publications. Thompson, N., Ravindran, R., & Nicosia, S. (2015). Government data does not mean data governance: lessons learned from a public sector application audit. Government Information Quarterly, 32(3), 316-322. Trump, D. (2019). Accelerating America’s Leadership in Artificial Intelligence. Retrieved September 30, 2021, from https://trumpwhitehouse.archives.gov/articles/accelerating- americas-leadership-in-artificial-intelligence/. Turing, A. M. (1950). Computing machinery and intelligence. Mind, LIX(236), 433-460. United Nations (2020). Strengthening Data Governance for Effective Use of Open Data and Big Data Analytics for Combating COVID-19. Retrieved September 30, 2021, from https://www.un.org/development/desa/dpad/publication/un-desa-policy-brief-89-strengthening-data-governance-for-effective-use-of-open-data-and-big-data-analytics-for-combating-covid-19/. USGS (2013). The United States Geological Survey Science Data Lifecycle Model. Retrieved December 22, 2021, from https://pubs.usgs.gov/of/2013/1265/pdf/ of2013-1265.pdf. Wallace, R. S. (2009). The Anatomy of A.L.I.C.E. In R. Epstein, G. Roberts, & G. Beber (Eds.), Parsing the Turing Test: philosophical and methodological issues in the quest for the thinking computer. Dordrecht: Springer Netherlands, http://dx.doi.org/10.1007/ 978-1-4020-6710-5_13. Weizenbaum, J. (1966). Eliza computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45. World Economic Forum (2020). Chatbots RESET Framework Pilot Projects: Using Chatbots in Healthcare. Retrieved December 30, 2021, from https://www.weforum. org/reports/chatbots-reset-framework-pilot-projects-using-chatbots-in-healthcare. Yu, H., & Robinson, D. G. (2012). The new ambiguity of open government. UCLA Law Review Discourse, 59, 178-208. |
Description: | 碩士 國立政治大學 行政管理碩士學程 108921014 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0108921014 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202200991 |
Appears in Collections: | [行政管理碩士學程(MEPA)] 學位論文
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