A Review of Organizational Readiness Models for Entering the Fourth Industrial Revolution
Subject Areas :Iman Ansari 1 , Masoud Barati 2 , Mohammad Reza Sadeghi Moghadam 3 , Morteza Ghobakhloo 4
1 - Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran
3 - Tehran university
4 - Division of Industrial Engineering and Management, Uppsala University, PO Box 534, Uppsala, Sweden
Keywords: Technology, Assessment, Industry 4.0, Fourth industrial revolution, readiness model,
Abstract :
With the emergence of a phenomenon called "Fourth Industrial Revolution" and its technologies and applications, developed countries such as: Germany, America, Japan and some developing countries such as: China, India, trying to create suitable infrastructures. They have evaluated and improved their level of readiness in order to enter to the fourth industrial revolution in various industries to achieve its many benefits through digitization. Therefore, it is necessary to evaluate the readiness level of organizations and industries to enter this digital industrial revolution, and in line with that, the necessary strategies to achieve the desired readiness level and implement the technologies and systems of the fourth industrial revolution are determined. Therefore, the present research aims to introduce the best Industry 4.0 readiness models by a wide review of the research literature and analyze the models in order to help organizations to use the appropriate readiness models and evaluate their degree of readiness. The results show that the best model based on the six research evaluation criteria is Impuls readiness model and Warwick University's readiness model is in second place.
عارف، محمدرضا؛ جعفرنژاد، احمد و کیانی¬بختیاری، ابوالفضل. (1398). ارائه چارچوب مناسب (شاخصهای ترکیبی) ارزیابی آمادگی بنگاهها و شهرکهای صنعتی برای پیادهسازی مولفههای بنیادین انقلاب صنعتی چهارم و توسعه سرمایهگذاری. دانش سرمایهگذاری،8(31)، 23-48.
- Ansari, I., Barati, M., Sadeghi Moghadam, M.R., and Ghobakhloo, M. (2023), An Industry 4.0 readiness model for new technology exploitation. International Journal of Quality & Reliability Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJQRM-11-2022-0331.
- Axmann, B., Harmoko, H. (2020). Industry 4.0 Readiness Assessment: Comparison of Tools and Introduction of New Tool for SME. Technical Journal, 14(2), 212- 217.
- Basl, J. (2017). Pilot study of readiness of Czech companies to implement the principles of Industry 4.0.
- Burke, L.A., Hutchins, H.M. (2007). Training transfer: an integrative literature review. Human Resource Development Review, 6(3), 263-296.
- Conti, M., Passarella, A., and Das, S.K. (2017). The Internet of People (IoP): a new wave in pervasive mobile computing. Pervasive and Mobile Computing, 41(1), 1-27.
- Ding, B. (2018). Pharma Industry 4.0: literature review and research opportunities in sustainable pharmaceutical supply chains. Process Safety and Environment Protection, 119, 115-130.
- Doshi, A., Smith, R.T., Thomas, B.H., and Bouras, C. (2017). Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. The International Journal of Advanced Manufacturing Technology, 89(5-8), 1279-1293.
- Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(1), 910-936.
- Govindan, K., Arampatzis, G. (2023). A framework to measure readiness and barriers for the implementation of Industry 4.0: A case approach. Electronic Commerce Research and Applications, 59, 101249.
- Hajoary, P. N. (2023). Industry 4.0 Maturity and Readiness- A case of a Steel Manufacturing Organization. Procedia Computer Science, 217, 614–619.
- Janev, V., Vraneš, S. (2011). Applicability assessment of semantic web technologies. Information Processing & Management, 47(4), 507-517.
- Kocian, J., Tutsch, M., Ozana, S., and Koziorek, J. (2012). Application of modeling and simulation techniques for technology units in industrial control. Frontiers in Computer Education, Springer, Heidelberg, 491lu-499.
- Monostori, L. (2014). Cyber-physical Production Systems: Roots, Expectations and R&D Challenges. Procedia CIRP, 17, 9-13.
- Nick, Gábor., Kovács, Tibor., Kő, Andrea., and Kádár, Botond. (2021). Industry 4.0 readiness in manufacturing: Company Compass 2.0, a renewed framework and solution for Industry 4.0 maturity assessment. Procedia Manufacturing, 54, 39-44.
- Nolin, J., Olson, N. (2016). The internet of things and convenience. Internet Research, 26(2), 360-376.
- Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roen, K., and Duffy, S. (2006). Guidance on the conduct of narrative synthesis in systematic reviews. a Product from the ESRC Methods Programme Version, Institute of Health Research Lancaster, 1, 1-92.
- Pulevska-Ivanovska, L., N. Kaleshovska. (2013). Implementation of eSupply Chain Management. TEM Journal, 2(4), 314-322.
- Schwab, K. (2017). The Fourth Industrial Revolution. New York: Crown Business.
- Schumacher, A., Erol, S., and Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161-166.
- Smith, K.B., Profetto-McGrath, J., and Cummings, G.G. (2009). Emotional intelligence and nursing: an integrative literature review. International Journal of Nursing Studies, 46(12), 1624-1636.
- Sony, M., Naik, S. (2019). Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. Benchmarking: An International Journal, 27(7), 2213-2232
- Tapscott, D., Tapscott, A. (2016). Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World. New York: Penguin.
- Tripathi, S. Gupta, M. (2021). A holistic model for Global Industry 4.0 readiness assessment. Benchmarking: An International Journal, 28(10), 3006-3039.
- Trstenjak, M., Opetuk, T. (2020). Industry 4.0 Readiness Factor Calculation and Process Planning: State-of-the-Art Review. Transactions of FAMENA, 44(3), 1-22.
- Yew, A., Ong, S., and Nee, A. (2016). Towards a Griddable distributed manufacturing system with augmented reality interfaces. Robotics and Computer-Integrated Manufacturing, 39(1), 43-55.