English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51623219      Online Users : 546
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/141828


    Title: 企業數位轉型形成資料驅動型組織的過程與影響-以C公司為例
    The Process & Influence of Forming a Data-driven Organization by Corporate Digital Transformation : Case Study of C Company
    Authors: 黃婷筠
    Huang, Ting-Yun
    Contributors: 吳思華
    Wu, Se Hwa
    黃婷筠
    Huang, Ting-Yun
    Keywords: 數位轉型
    關鍵要素
    人才培育
    組織變革
    資料驅動
    Digital transformation
    Key elements
    Talent Cultivation
    Organizational Change
    Data-driven decision making
    Date: 2022
    Issue Date: 2022-09-02 15:45:04 (UTC+8)
    Abstract:   隨著近年數位浪潮,數位轉型成了各家企業的討論重點,在許多企業的認知內,導入許多數位科技工具、大幅減少人力就是數位轉型的體現,數位轉型所包含的不僅是系統、設備的優化,而是數位轉型的發生是否能造成企業的價值改變,若能在急遽變動的市場上愈快速地搶得市場先機或是提升營運績效,確保各種關鍵決策、行動及營運流程都受到數據驅動的所產生的見解來影響,而非根據管理者的直覺來推動,則是這其中的關鍵,故本研究著重於企業如何在數位轉型的過程中形成資料驅動型的組織,故從文獻及國外成功案例中找尋主要的關鍵要素。

      透過國外成功案例及訪談個案C公司的交互比較,可發現數位轉型的過程中有四項關鍵要素:數位科技工具應用、人才培育及發展、組織變革、資料驅動的決策模式,此四項要在數位轉型的過程中從導入到應用階段,逐步建立起蒐集數據、應用數據並且累積數據資訊的過程,最終在工具、人才、文化轉變下,使得決策模式轉變成了資料驅動,幫助企業找尋決策方向及進行營運管理,並依照企業不同需求協助達成數位轉型內部營運優化、顧客體驗優化及新事業發展等三項目標。

      最後本研究基於研究結果,對個案C公司在數位轉型上所面臨的問題提出四個關鍵要素上需要改善的實務建議,也同時提供做為有相同狀況的企業做為參考。
    Digital Transformation has become the key issue of every company in recent years. Most of the enterprise consider digitalization as a digital transformation. Digital transformation involves not only the optimization of systems and equipment, but also whether the occurrence of digital transformation can change the value of an enterprise. Besides, through digital transformation can quickly seize market opportunities, improve operational performance in a rapidly changing market or ensure that various key decisions, actions and operational processes are influenced by data-driven insights rather than managers’ intuition. Therefore, this research focuses on how enterprises form data-driven organizations in the process of digital transformation, so the key elements are found from literature and foreign successful cases.
    Through the interactive comparison of foreign successful cases and interviews with Company C, it can be found that there are four key elements in the process of digital transformation: the digital technology tools, talent cultivation and development, organizational change, and data-driven decision-making. In the process of digital transformation, the four elements are gradually established from the settlement of technology tools, data collecting to accumulating data information. Finally, under the changing of technology, talents and culture, the decision-making process has been transformed into data-driven which help enterprises to find problems, make decisions and assist in achieving three goals of digital transformation, internal operation optimization, customer experience optimization and new business development.
    Based on the research results, this research puts forward practical suggestions on the four key elements that need to be improved on the problems faced by the
    Company C in the digital transformation, and also provides it as a reference for companies with the same situation.
    Reference: 一、中文文獻
    1.方植永(2020)。你的公司正在「數位轉型」還只是「數位化」。經理人月刊,2020年5月號。
    2.何振隆、徐光平、王益真、蘇裕昌(2015)。〈台灣造紙產業之介紹〉。林業研究季刊,22,頁13-14。
    3.林淑馨(2010)。質性研究:理論與實務。台北:巨流出版社。
    4.張家維(2017)。Industry 4.0標竿案例研究-勞斯萊斯。台北:財團法人資訊工業策進會產業情報研究所。
    5.詹文男(2021)。數位轉型力。台北:商周出版社。
    6.錢思敏(2019)。數位轉型之組織文化與組織變革。台灣經濟研究月刊,2019年10月號。
    7.簡鈺璇(2021)。數位轉型該從哪做起、如何落地? 一個思考框架,擬定轉型策略。經理人月刊,2021年6月號。
    8.簡禎富(2019)。數位轉型是企業維新。哈佛商業評論,2019年11月號。

    二、英文文獻
    1.Agarwal, R., Chandrasekaran, S., & Sridhar, M. (2016). Imagining construction’s digital future. McKinsey & Company, 24.
    2.Barro, S., & Davenport, T. H. (2019). People and machines: Partners in innovation. MIT Sloan Management Review, 60(4), 22-28.
    3.Bean, R. (2022). Why chief data officers must assume leadership for data success.
    4.Day, G. S., & Reibstein, D. J. (Eds.). (2004). Wharton on dynamic competitive strategy. John Wiley & Sons.
    5.Frankiewicz, B., & Chamorro-Premuzic, T. (2020). Digital transformation is about talent, not technology. Harvard Business Review, 6(3).
    6.Kotter, J. (1995). Leading change: Why transformation efforts fail. Harvard Business Review, 73 (2), 59-67.
    7.Kotter, J. P. (1995). Leading change. harvard business review, 2(1), 1-10.
    8.Mandinach, E. B., Honey, M., & Light, D. (2006, April). A theoretical framework for data-driven decision making. In annual meeting of the American Educational Research Association, San Francisco, CA.
    9.Marchand, D. A., & Wade, M. (2014). Digital business transformation: Where is your company on the journey. Perspectives for Managers, (187), 1.
    10.Mehta Sunita, Ramnarayan S. (2021). Digital Transformation at L&T (A). Indian School of Business.
    11.Mirković, B. D., & Ganić, E. M. (2020). Measures to reduce pollutant emissions from taxiing aircraft at Belgrade airport. Tehnika, 75(6), 759-766.
    12.Redman, T., C. (2020). Top-Down leadership for data: Seven ways to get started. MIT Sloan Management Review.
    13.Sarayreh, B. H., Khudair, H., & Barakat, E. A. (2013). Comparative study: The Kurt Lewin of change management. International Journal of Computer and Information Technology, 2(4), 626-629.
    14.Smith-Gillespie, A., Muñoz, A., Morwood, D., & Aries, T. (2019). ROLLS-ROYCE: A Circular Economy Business Model Case.
    15.Tomas Chamorro-Premuzic (2021). The Essential Components of Digital Transformation. Harvard Business Review.
    16.Vachhrajani, I. (2020). The New Leadership Mindset for Data& Analytics. MIT Sloan Management Review.
    17.Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901.
    18.Westerman, G., Bonnet, D., & McAfee, A. (2014). The nine elements of digital transformation. MIT Sloan Management Review, 55(3), 1-6.
    19.World Economic Forum (2016). Digital Transformation of Industries
    20.Yin, R. K. (2011). Applications of case study research. sage.

    三、網路資料
    1.林書萍(2021)。迎接數位轉型時代,掌握轉型人才為企業致勝關鍵。2022年7月15日。檢自:https://www.italent.org.tw/ePaperD/36/ePaper20210800006
    2.游佳臻(2022)。製造業數位轉型人才職能發展建議。2022年7月15日。檢自:https://www.italent.org.tw/ePaperD/35/ePaper20220100005
    3. 蘇翰揚(2021)。傳統產業數位轉型與人才培養。2022年7月15日。檢自:https://www.italent.org.tw/ePaperD/35/ePaper20210800004
    4.Chawla, V. (2018). How Rolls Royce Wants To Strengthen Data Analytics With The EMER2GENT Alliance. Retrieved July 15 ,2022 from: https://analyticsindiamag.com/rolls-royce-analytics-emer2gent/
    5.Dahlander, L.& Wallin, M. (2018). 3 challenges for making digitally-savvy employees feel part of the team – and how to tackle them. Retrieved July 15 ,2022 from: https://bdaily.co.uk/articles/2018/09/12/3-challenges-for-making-digitally-savvy-employees-feel-part-of-the-team-and-how-to-tackle-them
    6.Francis, A. (2021). Case Study of Rolls Royce: Innovating for the Future. Retrieved July 15 ,2022 from: https://www.mbaknol.com/management-case-studies/case-study-of-rolls-royce-innovating-for-the-future/
    Description: 碩士
    國立政治大學
    科技管理與智慧財產研究所
    109364108
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0109364108
    Data Type: thesis
    DOI: 10.6814/NCCU202201284
    Appears in Collections:[科技管理與智慧財產研究所] 學位論文

    Files in This Item:

    File Description SizeFormat
    410801.pdf3341KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback