博碩士論文 109421061 詳細資訊




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姓名 鄭以祥(Yee-Shiang Cheng)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 中小企業的工業 4.0:數位化與生產力的觀點
(Industry 4.0 for the SMEs: Perspective of Digitalization and Productivity)
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摘要(中) 因應工業4.0的發展以及數位轉型的迫切需要,企業不得不投注資源,運用資本、人力提升企業的數位化程度,然而,許多企業對於具體應該如何進行數位化並沒有充分的了解,導致許多失敗的案例。本研究欲探討台灣中小企業用不同方式進行數位化能如何為企業帶來競爭力,並且探討管理層面的數位化在這當中扮演何種角色。本研究採用Puchan、Krischke與呂俊德博士授權之台灣地區製造業的工業4.0現況調查之問卷。將數位化分為技術與管理兩個部份,技術方面的數位化聯結、數位化服務與數位化工廠,與管理方面的數位化管理。並透過台灣經濟新報資料庫 (TEJ+) 中蒐集人均生產力、資本生產力以及資本獲利能力的財務資料,合併為生產力構面。透過結構方程模型 (SEM),採用偏最小平方結構方程模式 (PLS-SEM) 對於186份樣本進行分析。結果顯示企業如果僅做到技術層面的數位化聯結、數位化服務、數位化工廠三者單一個面向並不能提升企業的生產力。但是數位化聯結、數位化工廠可以透過數位化管理為中介顯著正向影響生產效率。企業在生產流程當中如應用數位科技整合企業內外部流程,並且將機器設備透過物聯網蒐集即時數據以進行大數據分析,可影響到企業內部的策略與組織,從管理層面帶動企業整體一致運作,以提升生產效率。
摘要(英) In response to the development of Industry 4.0 and the digital transformation, enterprises have to enhance the degree of digitalization of enterprises. However, many enterprises don’t know how to carry out digitalization in detail. This study intends to explore how different ways of digitalization can bring competitiveness to Taiwanese SMEs. And what role does digitization at the management level play in this. This study uses the questionnaire of Industry 4.0 in Taiwan′s manufacturing industry published and authorized by Dr. Puchan, Krischke and Jun-Der Leu. Digitalization is divided into two parts : one is technology include digital connection, digital service and digital factory. Another is management include digital management. The financial data of per capita productivity, capital productivity, and capital profitability are collected through the TEJ+ and merged into the productivity dimension. Through SEM and used PLS-SEM to analyze 186 samples. The results show that if an enterprise only achieves a single aspect of digital connection, digital service, and digital factory at the technical level, it will not be able to improve the productivity of the enterprise. However, digital connection and digital factory can significantly positively affect production efficiency through digital management as an intermediary. In the production process, if an enterprise uses digital technology to integrate internal and external processes, and collects real-time data from machines and equipment through the Internet of Things for big data analysis. It can affect the internal strategy and organization of the enterprise, and drive the overall consistent operation of the enterprise from the management level to improve production efficiency.
關鍵字(中) ★ 中小型企業
★ 工業4.0
★ 數位化
★ 生產力
關鍵字(英) ★ SMEs
★ Industry 4.0
★ digitalization
★ productivity
論文目次 摘要 i
ABSTRACT ii
目錄 iii
圖目錄 vi
表目錄 vii
第一章 緒論 1
1-1 研究背景與動機 1
1-2 研究目的 2
1-3 研究架構 3
第二章 文獻回顧 4
2-1 中小企業 4
2-1-1 中小企業定義 4
2-1-2 中小企業特性 6
2-1-3 台灣中小企業現況 6
2-2 數位化 8
2-2-1 數位化的差異 9
2-2-2 數位化對企業的影響 10
2-2-3 技術與管理層面的數位化 11
2-3 生產力 13
2-3-1 績效衡量 13
2-3-2 生產力與數位化 13
2-4 文獻回顧小結 15
第三章 研究方法 16
3-1 研究模型發展歷程 16
3-2 研究模型與研究假設 17
3-3 研究變數與研究方法 20
3-3-1 研究變數與內涵 20
3-3-2 尺度衡量方法 22
3-4 統計分析方法 23
3-4-1 測量模型 24
3-4-2 結構模型 25
3-4-3 中介效果 27
第四章 研究分析與結果 28
4-1 研究問卷 28
4-1-1 問卷發放對象 28
4-1-2 問卷回收概況 28
4-2 敘述性統計分析 29
4-3 測量模型分析 33
4-3-1 信度及效度分析 33
4-3-2 區別效度分析 34
4-4 結構模型分析 36
4-4-1 共線性分析 37
4-4-2 路徑分析 37
4-4-3 模型解釋力分析 38
4-4-4 中介效果分析 39
4-5 檢驗結果整理 40
4-6 研究論述 41
4-6-1 數位化聯結、數位化服務、數位化工廠與生產力的關係 41
4-6-2 數位化管理與生產力的關係 43
4-6-3 數位化聯結、數位化服務、數位化工廠透過數位化管理與生產力的關係 43
第五章 結論與後續研究 47
5-1 研究結論 47
5-2 理論意涵 47
5-3 管理意涵 48
5-4 研究限制與後續研究 49
參考文獻 51
參考文獻 主計總處 (2021)。行業統計分類。行政院。
主計總處 (2022a)。國民所得統計摘要。行政院。
主計總處 (2022b)。產值勞動生產力趨勢分析報告。行政院。
主計總處 (2022c)。國民所得統計及國內經濟情勢展望。行政院。
楊采霖 (2021)。台灣製造業進行數位轉型與環境永續發展的關係探討。國立中央大學企業管理學系碩士班。
經濟部中小企業處 (2022)。中小企業白皮書。行政院。
蔡薈芳 (2021)。從精實生產到工業4.0:台灣地區中小企業的實證研究。國立中央大學企業管理學系碩士班。
Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of marketing research, 14(3), 396-402.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
Azevedo, A., & Almeida, A. (2011). Factory templates for digital factories framework. Robotics and Computer Integrated Manufacturing, 27(4), 755-771.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Bayo‐Moriones, A., Billón, M., & Lera‐López, F. (2013). Perceived performance effects of ICT in manufacturing SMEs. Industrial Management & Data Systems, 113(1), 117-135.
Beamon, B. M. (1999). Measuring supply chain performance. International Journal of Operations & Production Management, 19(3), 275-292.
Belekoukias, I., Garza-Reyes, J. A., & Kumar, V. (2014). The impact of lean methods and tools on the operational performance of manufacturing organisations. International Journal of Production Research, 52(18), 5346-5366.
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International Journal of Production Research, 57(15-16), 4719-4742.
Benedettini, O., Neely, A., & Swink, M. (2015). Why do servitized firms fail? A risk-based explanation. International Journal of Operations & Production Management , 35(6), 946-979.
Bhatt, G., Emdad, A., Roberts, N., & Grover, V. (2010). Building and leveraging information in dynamic environments: The role of IT infrastructure flexibility as enabler of organizational responsiveness and competitive advantage. Information & Management, 47(7-8), 341-349.
Bicocchi, N., Cabri, G., Mandreoli, F., & Mecella, M. (2019). Dynamic digital factories for agile supply chains: An architectural approach. Journal of Industrial Information Integration, 15, 111-121.
Bloomberg, J. (2018). Digitization, digitalization, and digital transformation: confuse them at your peril. Forbes. Retrieved on August, 28, 2019.
Cash, J. I., & Konsynski, B. R. (1985). IS redraws competitive boundaries. Harvard business review, 63(2), 134-142.
Chatterjee, S., & Kar, A. K. (2020). Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India. International Journal of Information Management, 53, 102103.
Chatterjee, S., & Mariani, M. (2022). Exploring the influence of exploitative and explorative digital transformation on organization flexibility and competitiveness. IEEE Transactions on Engineering Management, 1-11. DOI: 10.1109/TEM.2022.3220946
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Coelli, T. J., Rao, D. S. P., O′Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. New York: Springer.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. New York: Routledge.
Dremel, C., Wulf, J., Herterich, M. M., Waizmann, J.-C., & Brenner, W. (2017). How AUDI AG established big data analytics in its digital transformation. MIS Quarterly Executive, 16(2), 81-100.
Dibrell, C., Davis, P. S., & Craig, J. (2008). Fueling innovation through information technology in SMEs. Journal of small business management, 46(2), 203-218.
Eggert, A., Hogreve, J., Ulaga, W., & Muenkhoff, E. (2014). Revenue and profit implications of industrial service strategies. Journal of Service Research, 17(1), 23-39.
El Sawy, O. A., Malhotra, A., Park, Y., & Pavlou, P. A. (2010). Research commentary—seeking the configurations of digital ecodynamics: It takes three to tango. Information Systems Research, 21(4), 835-848.
Facultada, E. B., & Sebialb, S. C. L. (2019). Development and Validation of a Mathematics Attitude Scale (MAS) for High School Students in Southern Philippines. Development, 8(2).
Fernandez-Vidal, J., Perotti, F. A., Gonzalez, R., & Gasco, J. (2022). Managing digital transformation: The view from the top. Journal of Business Research, 152, 29-41.
Fletcher, G., & Griffiths, M. (2020). Digital transformation during a lockdown. International Journal of Information Management, 55, 102185.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933.
Gebauer, H., Fleisch, E., & Friedli, T. (2005). Overcoming the service paradox in manufacturing companies. European Management Journal, 23(1), 14-26.
Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California management review, 33(3), 114-135.
Gu, M., Yang, L., & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: An ambidexterous view. International Journal of Production Economics, 232, 107956.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. 6th Edition. New Jersey: Pearson.
Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). New York: Sage.
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.
Heavin, C., & Power, D. J. (2018). Challenges for digital transformation–towards a conceptual decision support guide for managers. Journal of Decision Systems, 27(sup1), 38-45.
Henderson, V., Kuncoro, A., & Turner, M. (1995). Industrial development in cities. Journal of political economy, 103(5), 1067-1090.
Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15(2), 103-119.
Hong, P., & Jeong, J. (2006). Supply chain management practices of SMEs: from a business growth perspective. Journal of Enterprise Information Management, 19(3), 292-302.
Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2019). Global supply chain and operations management: A decision-oriented introduction to the creation of value. Switzerland: Springer.
Jayaram, J., Dixit, M., & Motwani, J. (2014). Supply chain management capability of small and medium sized family businesses in India: A multiple case study approach. International Journal of Production Economics, 147, 472-485.
Jazdi, N. (2014, May). Cyber physical systems in the context of Industry 4.0. In Automation,Quality and Testing, Robotics, 2014 IEEE International Conference on (pp. 1-4). IEEE.
Jimenez-Jimenez, D., Martínez-Costa, M., & Sanchez Rodriguez, C. (2019). The mediating role of supply chain collaboration on the relationship between information technology and innovation. Journal of Knowledge Management, 23(3), 548-567.
Kowalkowski, C., Gebauer, H., Kamp, B., & Parry, G. (2017). Servitization and deservitization: Overview, concepts, and definitions. Industrial Marketing Management, 60, 4-10.
Kushnir, K. (2010). A universal definition of small enterprise: a procrustean bed for SMEs. World Bank.
Lam, L. W. (2012). Impact of competitiveness on salespeople′s commitment and performance. Journal of Business Research, 65(9), 1328-1334.
Lee, M., Yun, J.J., Pyke, A., Won, D., Kodama, F., Giovanni, Schiuma, Park, H., Jeon, J.,Park, K., Jung, K., Yan, M.-R., Lee. (2018). How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 4(3), 21.
Leonardi, P. M., & Treem, J. W. (2020). Behavioral visibility: A new paradigm for organization studies in the age of digitization, digitalization, and datafication. Organization Studies, 41(12), 1601-1625.
Li, F. (2020). Leading digital transformation: three emerging approaches for managing the transition. International Journal of Operations & Production Management, 40(6), 809-817.
Li, F., Nucciarelli, A., Roden, S., & Graham, G. (2016). How smart cities transform operations models: a new research agenda for operations management in the digital economy. Production Planning & Control, 27(6), 514-528.
Lindner, A., & Bagherzadeh, M. (2005). SME Statistics: towards more systematic statistical measurement of SME behavior. Paper presented at the Expert Group Meeting on Industrial Statistics, Two United Nations Plaza, Conference.
Masood, T., & Sonntag, P. (2020). Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry, 121, 103261.
Matt, D. T., Orzes, G., Rauch, E., & Dallasega, P. (2020). Urban production–A socially sustainable factory concept to overcome shortcomings of qualified workers in smart SMEs. Computers & Industrial Engineering, 139, 105384.
Mazzone, D. M. (2014). Digital or death: Digital transformation: The only choice for business to survive smash and conquer. Smashbox Consulting Inc.
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118-1136.
Monczka, R. M., Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (1998). Success factors in strategic supplier alliances: The buying company perspective. Decision Sciences, 29(3), 553-577.
Nadkarni, S., & Prügl, R. (2021). Digital transformation: A review, synthesis and opportunities for future research. Management Review Quarterly, 71(2), 233-341.
Nagorny, K., Colombo, A. W., & Barata, J. (2014). A survey of service-based systems-of-systems manufacturing systems related to product life-cycle support and energy efficiency. Paper presented at the 2014 12th IEEE International Conference on Industrial Informatics (INDIN).
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: a literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116.
Nunnally, J. C., & Bernstein, I. (1978). Psychometric theory. New York: McGraw-Hill.
Pagani, M., & Pardo, C. (2017). The impact of digital technology on relationships in a business network. Industrial Marketing Management, 67, 185-192.
Paschou, T., Rapaccini, M., Adrodegari, F., & Saccani, N. (2020). Digital servitization in manufacturing: A systematic literature review and research agenda. Industrial Marketing Management, 89, 278-292.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Prater, E., & Ghosh, S. (2006). A comparative model of firm size and the global operational dynamics of US firms in Europe. Journal of Operations Management, 24(5), 511-529.
Puchan, J., Krischke, A., & Jun-Der, Leu. (2019年1月)。全台首次566家公司智慧製造大調查:誰是最佳工業4.0企業﹖。天下雜誌,665,72-86。
Puchan, J., Zeifang, A., & Leu, J.-D. (2018). Industry 4.0 in practice-identification of industry 4.0 success patterns. Paper presented at the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).
Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, 225-246.
Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor′s comments: A critical look at the use of PLS-SEM in" MIS Quarterly". MIS Quarterly, iii-xiv.
Schreyer, P., & Pilat, D. (2001). Measuring productivity. OECD Economic Studies, 33(2), 127-170.
Senge, P. M. (1990). The fifth discipline: The art and science of the learning organization. New York: Doubleday.
Simon, H. A. (1993). Strategy and organizational evolution. Strategic management journal, 14(S2), 131-142.
Stoel, M. D., & Muhanna, W. A. (2009). IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type. Information & Management, 46(3), 181-189.
Tortorella, G. L., & Fettermann, D. (2018). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. International Journal of Production Research, 56(8), 2975-2987.
Tortorella, G. L., Vergara, A. M. C., Garza-Reyes, J. A., & Sawhney, R. (2020). Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers. International Journal of Production Economics, 219, 284-294.
Tuten, T. L., & Urban, D. J. (2001). An expanded model of business-to-business partnership formation and success. Industrial marketing management, 30(2), 149-164.
Van Buren, H. J., Greenwood, M., Sheehan, C. (2011). Strategic human resource management and the decline of employee focus. Human Resource Management Review, 21(3), 209-219.
Vanpoucke, E., Vereecke, A., & Muylle, S. (2017). Leveraging the impact of supply chain integration through information technology. International Journal of Operations & Production Management, 37(4), 510-530.
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.
Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118-144.
Vinzi, V. E., Trinchera, L., & Amato, S. (2010). PLS path modeling: From foundations to recent developments and open issues for model assessment and improvement. Berlin: Springer-Verlag.
Wang, H., Feng, J., Zhang, H., & Li, X. (2020). The effect of digital transformation strategy on performance: The moderating role of cognitive conflict. International Journal of Conflict Management, 31(3), 441-462.
Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171-180.
Westerman, G., Bonnet, D., & McAfee, A. (2014). The nine elements of digital transformation. MIT Sloan Management Review, 55(3), 1-6.
Westerman, G., Calméjane, C., Bonnet, D., Ferraris, P., & McAfee, A. (2011). Digital Transformation: A roadmap for billion-dollar organizations. MIT Center for Digital Business and Capgemini Consulting, 1, 1-68.
Williams, B. D., Roh, J., Tokar, T., & Swink, M. (2013). Leveraging supply chain visibility for responsiveness: The moderating role of internal integration. Journal of Operations Management, 31(7-8), 543-554.
Zou, S., & Cavusgil, S. T. (2002). The GMS: A broad conceptualization of global marketing strategy and its effect on firm performance. Journal of Marketing, 66(4), 40-56.
指導教授 呂俊德(Jun-Der Leu) 審核日期 2023-4-14
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