許多具有經濟規模電子製造業已建置工廠自動化系統，提高更多產能效率，藉以深化對客戶的服務，同時希望提升產品市占率，如我們所知，近年來如大數據與物聯網興起，逐漸地有如何以智慧化工廠整合資源在未來，使之發揮最大效益，同時德國也宣布以工業4.0新觀念，增加工廠效率，因此本研究以使用者的角度，亦探討工業4.0系統認知情況與新系統接受程度。
本研究以國內電子專業製造服務業負責自動化單位與資訊中心為研究對象，以問卷方式獲得312份有效問卷進行分析，利用統計軟體SPSS與AMOS進行本研究量化分析，以科技接受模式的理論基礎一直是備受關注的議題。
研究發現以科技接受模型為論文基本理論基礎與工業4.0新系統觀念藉由結構方程模式分析具有良好之模式適配性，同時在認知易用性與認知有用性以及使用態度、行為意圖上認同程度都有顯著影響，本研究亦針對各因素與職務與教育程度做多元尺度分析，透過分析以了解不同的使用者所注重之因素情況，以利未來新系統導入需注意事件。
最後，本研究希望可為國內電子製造業未來規劃工業4.0系統做為參考，以利電子製造業在工業4.0系統之推廣，為企業在工業4.0的風潮下，透過以數據為基礎下做出對企業更精確的策略及決策。

Many electronic manufacturing factories have been implemented automation system which have economies of scale to offer more production capacity for customers. At the same to increase their product market share，As we know by now，just like big data and internet of things keep raising up in recent years ，gradually how to integrated resources by smart factory to get more capacity in the future，German government announced new concept is called “Industry 4.0”to increased plant performance，therefore this study is focus on users position to review Industry 4.0 system and people who act of accepting with approval new system as well.
This study based on automation and database center members of electronic manufacturing factory in Taiwan，using the questionnaire method to get 312 valid questionnaires in this study，and to analyzed these quantization data by SPSS and AMOS，the foundational theory of the TAM is a hot topic。
Between the two sets of TAM theory and Industry 4.0 new concept through SEM，results of this study showed an excellent overall model fit，at the same time in perceived usefulness、perceived ease of use、attitude to toward using、behavioral intention to use all five dimensions had statistically significant affected，this research involved a MDS to comprised of two variables like position and education to conclude each factor which to emphasize in the future.
Last one more thing，if enterprise want to plan an Industry 4.0 system in the future，as well as in providing new system with a better understanding of how this industry 4.0 beliefs about manufacturing related to their strategy use and decision.

中文部分:
1.王怡惠 (2015). "從工業 4.0 看我國生產力 4.0 之挑戰." 臺灣經濟研究月刊 38(8): 111-119.
2.余民寧 (2006). "潛在變項模式 SIMPLIS 的應用, 台北: 高等教育文化事業有限公司."
3.李茂能 (2006). "結構方程模式 Amos 軟體之簡介及其在編製上之應用-Graphics & Basic." 臺北市: 心理.
4.林蒧均 (2015). "淺談工業 4.0 浪潮下的國際製造業政策." 經濟前瞻(162): 65-72.
5.邱皓政 (2006). 量化研究與統計分析, 五南圖書出版股份有限公司.
6.施振榮 (1996). 再造宏碁: 開創, 成長與挑戰, 遠見天下文化出版股份有限公司.
7.陳順宇 (2004). 多變量分析. 華泰文化事業股份有限公司.
8.黃如惠 and 洪志洋 (1998). 價值創造活動型態, 財務政策與經濟附加價值關係之研究---以台灣資訊電子產業為例.
9.楊志海 and 陳忠榮 (2002). "研究發展, 專利與生產力-台灣製造業的實證研究." 經濟論文叢刊 30(1): 27-48.
10.資策會 (2011). "2011 資訊工業年鑑."
11.瞿宛文 (2010). "臺灣戰後工業化是殖民時期的延續嗎? 兼論戰後第一代企業家的起源." 臺灣史研究 17(2): 39-84.
英文部分:
1.Bagozzi, R. P. and Y. Yi (1988). "On the evaluation of structural equation models." Journal of the academy of marketing science 16(1): 74-94.
2.Bollen, K. A. (1989). "A new incremental fit index for general structural equation models." Sociological Methods & Research 17(3): 303-316.
3.Davis, F. D. (1989). "Perceived usefulness, perceived ease of use, and user acceptance of information technology." MIS quarterly: 319-340.
4.Davis, F. D. (1993). "User acceptance of information technology: system characteristics, user perceptions and behavioral impacts." International journal of man-machine studies 38(3): 475-487.
5.Davis, F. D., et al. (1989). "User acceptance of computer technology: a comparison of two theoretical models." Management science 35(8): 982-1003.
6.Fishbein, M. (1979). "A theory of reasoned action: some applications and implications."
7.Fishbein, M. and I. Ajzen (1977). "Belief, attitude, intention, and behavior: An introduction to theory and research."
8.Gefen, D., et al. (2000). "Structural equation modeling and regression: Guidelines for research practice." Communications of the association for information systems 4(1): 7.
9.Goodhue, D. L. and R. L. Thompson (1995). "Task-technology fit and individual performance." MIS quarterly: 213-236.
10.Hair, J. F., et al. (1998). Black (1998), Multivariate data analysis, Upper Saddle River, NJ: Prentice Hall.
11.Hartwick, J. and H. Barki (1994). "Explaining the role of user participation in information system use." Management science 40(4): 440-465.
12.Henderson, R. and M. J. Divett (2003). "Perceived usefulness, ease of use and electronic supermarket use." International Journal of Human-Computer Studies 59(3): 383-395.
13.Hooper, D., et al. (2008). "Structural equation modelling: Guidelines for determining model fit." Articles: 2.
14.Johnson, R. A. and M. A. Hignite (2000). "Applying the technology acceptance model to the WWW." Academy of Information and Management Sciences Journal 3(2): 130-142.
15.Kline, R. B. (2015). Principles and practice of structural equation modeling, Guilford publications.
16.Kruskal, J. B. (1964). "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis." Psychometrika 29(1): 1-27.
17.Lee, J., et al. (2015). "A cyber-physical systems architecture for industry 4.0-based manufacturing systems." Manufacturing Letters 3: 18-23.
18.Legris, P., et al. (2003). "Why do people use information technology? A critical review of the technology acceptance model." Information & management 40(3): 191-204.
19.Leonard-Barton, D. and I. Deschamps (1988). "Managerial influence in the implementation of new technology." Management science 34(10): 1252-1265.
20.Mathieson, K., et al. (2001). "Extending the technology acceptance model: the influence of perceived user resources." ACM SigMIS Database 32(3): 86-112.
21.Moon, J.-W. and Y.-G. Kim (2001). "Extending the TAM for a World-Wide-Web context." Information & management 38(4): 217-230.
22.Moore, G. C. and I. Benbasat (1991). "Development of an instrument to measure the perceptions of adopting an information technology innovation." Information systems research 2(3): 192-222.
23.Schifter, D. E. and I. Ajzen (1985). "Intention, perceived control, and weight loss: an application of the theory of planned behavior." Journal of personality and social psychology 49(3): 843.
24.Schumacker, R. and R. Lomax (1996). "A guide to structural equations modeling." Hillsdale, NJ: Erl-baum.
25.So, J. C. and N. Bolloju (2005). "Explaining the intentions to share and reuse knowledge in the context of IT service operations." Journal of Knowledge Management 9(6): 30-41.
26.Taylor, S. and P. Todd (1997). "Understanding the determinants of consumer composting behavior1." Journal of Applied Social Psychology 27(7): 602-628.
27.Van der Heijden, H. (2004). "User acceptance of hedonic information systems." MIS quarterly: 695-704.
28.Venkatesh, V. (2000). "Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model." Information systems research 11(4): 342-365.
29.Venkatesh, V. and F. D. Davis (2000). "A theoretical extension of the technology acceptance model: Four longitudinal field studies." Management science 46(2): 186-204.
30.Vernon, R. (1979). "The product cycle hypothesis in a new international environment." Oxford bulletin of economics and statistics 41(4): 255-267.
31.Vessey, I. and D. Galletta (1991). "Cognitive fit: An empirical study of information acquisition." Information systems research 2(1): 63-84.
32.Wahlster, W. (2012). "Industry 4.0: From Smart Factories to Smart Products." Gemeran Research Center for Artificial Intelligence 5.