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    政大典藏 > College of Commerce > MBA Program > Theses >  Item 140.119/131950
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/131950


    Title: 以TOE架構探討汽車產業的自駕車與電動車之發展趨勢
    Authors: 葉明杰
    Ye, Ming-Jie
    Contributors: 陳立民
    葉明杰
    Ye, Ming-Jie
    Keywords: 自駕車
    電動車
    多重個案研究
    科技-環境-組織架構
    self-driving cars
    electric vehicles
    Multiple Case Study
    Technology-Organization-Environment Framework
    Date: 2020
    Issue Date: 2020-09-02 13:17:39 (UTC+8)
    Abstract: 隨著自駕車系統與電動車技術的興起,讓汽車企業不容忽視這股趨勢。而企業在抉擇是否要發展自駕車與電動車的同時,也會面臨政府在法律上對自駕車合法性與碳排放等法規的修改。而如何在各國政府、競爭者、供應商中做出一個正確的決策,是汽車業的企業必須面臨的課題。
    因為自駕車與電動車是近幾年才逐漸發展的科技,所以在台灣與之相關的研究也較為稀少。本研究以科技-組織-環境架構當作基礎,透過以往的文獻找出「科技準備程度」、「預期直接獲益」、「組織資源」、「組織創新精神」、「政府規範」、「競爭壓力」,作為三個構面之考量因素。使用個案研究法來研究四個在同一產業之個案,並且使用次級資料法蒐集各大平台的資料。最後進行資料的歸納,分析四個個案在考量因素上的異同,並且給予欲發展自駕車與電動車之相關單位一個參考方向。
    本研究將四個個案在考量因素上的異同進行交叉比對後發現,在組織構面的組織資源、組織創新程度,是欲發展自駕車與電動車之必要因素,而科技構面中,科技準備程度與預期直接獲益會影響產出的結果。而在環境構面,政府規範雖造成壓力,卻也促使自駕車與電動車的發展,也可以透過補助政策來降低企業在發展自駕車與電動車上的競爭壓力。
    With the rise of self-driving car systems and electric vehicle technology, auto companies can’t ignore the trend. While deciding whether to develop self-driving cars and electric vehicles, companies will also face the government`s legal amendments to the legality and carbon emissions of self-driving cars. How to make a correct decision among governments, competitors, and suppliers is a topic that companies in the automotive industry must face.
    Since self-driving cars and electric vehicles are technologies that have only gradually developed in recent years, research related to them is relatively rare in Taiwan. This research uses the technology-organization-environment framework as the basis, and finds out the "technological readiness", "expected direct benefits", "organizational resources", "organizational innovativeness ", "government regulation", and "competitive pressure" through previous literature. "Stress" is considered as a factor in the three dimensions. Use the case study method to study four cases in the same industry, and use the secondary data method to collect data on major platforms. Finally, the data is summarized, the similarities and differences in the consideration factors of the four cases are analyzed, and a reference direction is given to related units who want to develop self-driving cars and electric vehicles.
    This study cross-compared the results in the consideration factors of the four cases and found that the organizational resources and the degree of organizational innovation in the organizational dimension are necessary factors for the development of self-driving cars and electric vehicles. In the technological dimension, technology The degree of readiness and expected direct benefits will affect the outcome of the output. In terms of the environment, although government regulations have caused pressure, they have also promoted the development of self-driving cars and electric vehicles. Subsidy policies can also be used to reduce the competitive pressure of enterprises in the development of self-driving cars and electric vehicles.
    Reference: 中文部份
    石育賢. (2019). ”全球自動駕駛產業發展趨勢與臺灣產業發展機會”
    https://www.materialsnet.com.tw/DocView.aspx?id=37924
    卓立庭. (2019). 基於專利引證分析探討自動駕駛技術之發展, 國立臺灣科技大學資訊管理所 碩士論文.
    邱譽嘉. (2016). 電動車的台灣市場進入策略研究, 國立臺灣大學臺大-復旦EMBA境外專班 碩士論文
    黃樑傑. (2011). ”國際電動車市場發展概況”
    https://www.artc.org.tw/chinese/03_service/03_02detail.aspx?pid=1861&nPage=1
    陳玉蕙. (2013). 台灣電動車產業需求面商業模式, 國立中央大學企業管理學所 碩士論文
    陳敬典. (2018). ”自動駕駛車發展現況與未來趨勢” https://www.artc.org.tw/upfiles/ADUpload/knowledge/tw_knowledge_594122328.pdf
    馮淑慧. (2012). 臺灣推動電動車產業之關鍵成功因素, 國立交通大學經營管理研究所 碩士論文.
    劉智倫. (2018). 人工智慧在汽車產業應用分析, 國立臺灣大學國際企業學研究所 碩士論文.

    英文部份
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    Hwang, B. N., Huang, C. Y., & Wu, C. H. (2016). A TOE approach to establish a green supply chain adoption decision model in the semiconductor industry. Sustainability, 8(2), 168.
    IEA.(2019)” Global EV Outlook 2019”
    https://www.iea.org/reports/global-ev-outlook-2019
    Johnston, M. P. P.(2014). Secondary Data Analysis: A Method of which the Time Has Come. Qualitative and Quantitative Methods in Libraries 3(3), 619-626.
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    McKinnie, M. (2016). Cloud computing: TOE adoption factors by service model in manufacturing.
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    Description: 碩士
    國立政治大學
    企業管理研究所(MBA學位學程)
    107363111
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107363111
    Data Type: thesis
    DOI: 10.6814/NCCU202001293
    Appears in Collections:[MBA Program] Theses

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