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題名 以TOE架構探討汽車產業的自駕車與電動車之發展趨勢 作者 葉明杰
Ye, Ming-Jie貢獻者 陳立民
葉明杰
Ye, Ming-Jie關鍵詞 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日期 2020 上傳時間 2-Sep-2020 13:17:39 (UTC+8) 摘要 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.參考文獻 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Arnold, C., Veile, J., & Voigt, K. I. (2018, April). What drives industry 4.0 adoption? An examination of technological, organizational, and environmental determinants. In 27th international conference on management of technology (IAMOT). Birmingham, UK.Bhattacharya, M. (2015). A conceptual framework of RFID adoption in retail using Rogers stage model. Business Process Management Journal.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-2019Johnston, 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.Kuan, K. K., & Chau, P. Y. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & management, 38(8), 507-521.Lin, H. F., & Lin, S. M. (2008). Determinants of e-business diffusion: A test of the technology diffusion perspective. Technovation, 28(3), 135-145.Lin, H. F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework. Technological Forecasting and Social Change, 86, 80-92.McKinnie, M. (2016). Cloud computing: TOE adoption factors by service model in manufacturing.Meszaros, F., Shatanawi, M., & Ogunkunbi, G. A. (2020). Challenges of the Electric Vehicle Markets in Emerging Economies. Periodica Polytechnica Transportation Engineering.Mirtsch, M., Kinne, J., & Blind, K. (2020). Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis. IEEE Transactions on Engineering Management.Oliveira, T., & Martins, M. F. (2008, July). A Comparison of Web Site Adoption in Small and Large Portuguese Firms. In ICE-B (pp. 370-377).Pan, M. J., & Jang, W. Y. (2008). Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan`s communications industry. Journal of Computer information systems, 48(3), 94-102.Racherla, P., & Hu, C. (2008). eCRM system adoption by hospitality organizations: A technology-organization-environment (TOE) framework. Journal of Hospitality & Leisure Marketing, 17(1-2), 30-58.Smit, R., Whitehead, J., & Washington, S. (2018). Where are we heading with electric vehicles?. Air Quality and Climate Change, 52(3), 18.Takács, Á., Rudas, I., Bösl, D., & Haidegger, T. (2018). Highly automated vehicles and self-driving cars [industry tutorial]. IEEE Robotics & Automation Magazine, 25(4), 106-112.Takács, Á., Drexler, D. A., Galambos, P., Rudas, I. J., & Haidegger, T. (2018, June). Assessment and standardization of autonomous vehicles. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) (pp. 000185-000192). IEEE.Teo, T. S., Tan, M., & Buk, W. K. (1997). A contingency model of Internet adoption in Singapore. International Journal of electronic commerce, 2(2), 95-118.Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, (1), 28-45.Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). Processes of technological innovation. Lexington books.Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.Zhu, K., Kraemer, K. L., & Dedrick, J. (2004). Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry. Journal of management information systems, 21(1), 17-54. 描述 碩士
國立政治大學
企業管理研究所(MBA學位學程)
107363111資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107363111 資料類型 thesis dc.contributor.advisor 陳立民 zh_TW dc.contributor.author (Authors) 葉明杰 zh_TW dc.contributor.author (Authors) Ye, Ming-Jie en_US dc.creator (作者) 葉明杰 zh_TW dc.creator (作者) Ye, Ming-Jie en_US dc.date (日期) 2020 en_US dc.date.accessioned 2-Sep-2020 13:17:39 (UTC+8) - dc.date.available 2-Sep-2020 13:17:39 (UTC+8) - dc.date.issued (上傳時間) 2-Sep-2020 13:17:39 (UTC+8) - dc.identifier (Other Identifiers) G0107363111 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/131950 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所(MBA學位學程) zh_TW dc.description (描述) 107363111 zh_TW dc.description.abstract (摘要) 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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents 目次摘要 I誌謝 III目次 IV圖次 VII表次 VII第一章 緒論 1第一節 研究背景與動機 1第二節 研究問題與目的 5第三節 研究流程 5第二章 文獻探討 7第一節 自駕車與電動車 72-1-1 自駕車 72-1-2 電動車 9第二節 TOE架構 11第三章 研究方法 16第一節 研究架構 16第二節 研究方法 20第四章 研究結果與分析 22第一節 Tesla 22第二節 Ford 27第三節 BMW 31第四節 Audi 35第四節 交叉分析表 40第五章 結論與建議 46第一節 研究結論與未來建議 46第二節 研究限制 49第六章 參考文獻 50附錄 文中資料引用之來源 55 zh_TW dc.format.extent 1569567 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107363111 en_US dc.subject (關鍵詞) 自駕車 zh_TW dc.subject (關鍵詞) 電動車 zh_TW dc.subject (關鍵詞) 多重個案研究 zh_TW dc.subject (關鍵詞) 科技-環境-組織架構 zh_TW dc.subject (關鍵詞) self-driving cars en_US dc.subject (關鍵詞) electric vehicles en_US dc.subject (關鍵詞) Multiple Case Study en_US dc.subject (關鍵詞) Technology-Organization-Environment Framework en_US dc.title (題名) 以TOE架構探討汽車產業的自駕車與電動車之發展趨勢 zh_TW dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 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Arnold, C., Veile, J., & Voigt, K. I. (2018, April). What drives industry 4.0 adoption? An examination of technological, organizational, and environmental determinants. In 27th international conference on management of technology (IAMOT). Birmingham, UK.Bhattacharya, M. (2015). A conceptual framework of RFID adoption in retail using Rogers stage model. Business Process Management Journal.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-2019Johnston, 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.Kuan, K. K., & Chau, P. Y. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & management, 38(8), 507-521.Lin, H. F., & Lin, S. M. (2008). Determinants of e-business diffusion: A test of the technology diffusion perspective. Technovation, 28(3), 135-145.Lin, H. F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework. Technological Forecasting and Social Change, 86, 80-92.McKinnie, M. (2016). Cloud computing: TOE adoption factors by service model in manufacturing.Meszaros, F., Shatanawi, M., & Ogunkunbi, G. A. (2020). Challenges of the Electric Vehicle Markets in Emerging Economies. Periodica Polytechnica Transportation Engineering.Mirtsch, M., Kinne, J., & Blind, K. (2020). Exploring the Adoption of the International Information Security Management System Standard ISO/IEC 27001: A Web Mining-Based Analysis. IEEE Transactions on Engineering Management.Oliveira, T., & Martins, M. F. (2008, July). A Comparison of Web Site Adoption in Small and Large Portuguese Firms. In ICE-B (pp. 370-377).Pan, M. J., & Jang, W. Y. (2008). Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan`s communications industry. Journal of Computer information systems, 48(3), 94-102.Racherla, P., & Hu, C. (2008). eCRM system adoption by hospitality organizations: A technology-organization-environment (TOE) framework. Journal of Hospitality & Leisure Marketing, 17(1-2), 30-58.Smit, R., Whitehead, J., & Washington, S. (2018). Where are we heading with electric vehicles?. Air Quality and Climate Change, 52(3), 18.Takács, Á., Rudas, I., Bösl, D., & Haidegger, T. (2018). Highly automated vehicles and self-driving cars [industry tutorial]. IEEE Robotics & Automation Magazine, 25(4), 106-112.Takács, Á., Drexler, D. A., Galambos, P., Rudas, I. J., & Haidegger, T. (2018, June). Assessment and standardization of autonomous vehicles. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) (pp. 000185-000192). IEEE.Teo, T. S., Tan, M., & Buk, W. K. (1997). A contingency model of Internet adoption in Singapore. International Journal of electronic commerce, 2(2), 95-118.Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, (1), 28-45.Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). Processes of technological innovation. Lexington books.Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.Zhu, K., Kraemer, K. L., & Dedrick, J. (2004). Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry. Journal of management information systems, 21(1), 17-54. zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202001293 en_US
