Digital readiness models: a systematic literature review
Keywords:
Digital Readiness, Digitalization, Fourth Industrial Revolution, Industry 4.0, Industrial Revolution 4.0Abstract
A model that helps organizations to self-assess their digital readiness can be a valuable organizational development tool. This paper systematically reviews such models in the context of Fourth Industrial Revolution. A Systematic Literature Review (SLR) methodology is employed to review 57 papers from peer-reviewed academic journals and industry reports, published from 2007 to 2019. Through this technique, 22 digital readiness models with 119 model dimensions have been explored. The SLR results revealed five major concepts on digitalization: Information Technology (IT), Operational Technology (OT), Unified Theory of Acceptance and Use of Technology (UTAUT), Technological, Organizational and Environmental Framework (TOE), and Industrial Internet of Things (IIOT). Furthermore, four Critical Success Factors (CSFs) have been proposed through thematic analysis that can help managers and companies achieve digital readiness: (a) Digital Agents and Skills, (b) Digital Tools and Applications, (c) Digital Systems and Infrastructure, and (d) Digital Eco-system and Culture. Digital readiness is a trending topic, and in that perspective, this paper provides a review of four factors that can provide a research agenda for future research on digital readiness.
References
Aarseth, M. B. 2018. Resistance in the Caliphate‟s Classrooms: Mosul Civilians vs IS. Middle East Policy 25(1): 46–63. doi:10.1111/mepo.12324
Agarwal, N. & Brem, A. 2015. Strategic business transformation through technology convergence: Implications from General Electric‟s industrial internet initiative. International Journal of Technology Management. doi:10.1504/IJTM.2015.068224
Ardito, L., Petruzzelli, A. M., Panniello, U. & Garavelli, A. C. 2018. Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal. doi:10.1108/BPMJ-04-2017-0088
Bahrin, M. A. K., Othman, M. F., Azli, N. H. N. & Talib, M. F. 2016. Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi 78(6–13): 137–143. doi:10.11113/jt.v78.9285
Bartodziej, C. J. 2017. The concept Industry 4.0. Springer Gabler 27–50. doi:10.1007/978-3-658-16502-4_3
Bauer, W., Pokorni, B. & Findeisen, S. 2019. Production Assessment 4.0 – Methods for the Development and Evaluation of Industry 4.0 Use Cases. Springer Nature 793: 501–510. doi:10.1007/978-3-319-94196-7
Birkel, H. S., Veile, J. W., Müller, J. M., Hartmann, E. & Voigt, K. I. 2019. Development of a risk framework for Industry 4.0 in the context of sustainability for established manufacturers. Sustainability (Switzerland) 11(2): 1–27. doi:10.3390/su11020384
Canetta, L., Barni, A. & Montini, E. 2018. Development of a Digitalization Maturity Model for the Manufacturing Sector. 2018 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2018 - Proceedings 1–7. doi:10.1109/ICE.2018.8436292
Dirican, C. 2015. The Impacts of Robotics, Artificial Intelligence On Business and Economics. Procedia - Social and Behavioral Sciences. doi:10.1016/j.sbspro.2015.06.134
Erol, S., Jäger, A., Hold, P., Ott, K. & Sihn, W. 2016. Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production. Procedia CIRP 54: 13–18. doi:10.1016/j.procir.2016.03.162
Ertan, J. 2018. Digital Readiness of Swedish Organizations. SKOLAN FÖR INDUSTRIELL TEKNIK OCH MANAGEMENT.
Fan, J. P. H., Wong, T. J. & Zhang, T. 2007. Politically connected CEOs, corporate governance, and Post-IPO performance of China‟s newly partially privatized firms. Journal of Financial Economics 84(2): 330–357. doi:10.1016/j.jfineco.2006.03.008
Fatorachian, H. & Kazemi, H. 2018. A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning and Control 29(8): 633–644. doi:10.1080/09537287.2018.1424960
Forsythe, A. & Forsythe, A. 2019. Howard Gardner. Key Thinkers in Individual Differences. doi:10.4324/9781351026505-21
Gammage, B., Plummer, D. C., Valdes, R., Mcgee, K., Potter, K., Tan, S., Aron, D., et al. 2011. Gartner‟s Top Predictions for IT Organizations and Users , 2011 and Beyond : IT ‟ s Growing Transparency. Managing. doi:G00208367
Glisczinski, D. 2018. Thematic Analysis. Journal of Transformative Education. doi:10.1177/1541344618777367
Guzmán-Simón, F., García-Jiménez, E. & López-Cobo, I. 2017. Undergraduate students‟ perspectives on digital competence and academic literacy in a Spanish University. Computers in Human Behavior. doi:10.1016/j.chb.2017.04.040
Haddara, M. & Elragal, A. 2015. The Readiness of ERP Systems for the Factory of the Future. Procedia Computer Science 64: 721–728. doi:10.1016/j.procs.2015.08.598
Hamidi, S. R., Aziz, A. A., Shuhidan, S. M., Aziz, A. A. & Mokhsin, M. 2018. SMEs maturity model assessment of IR4.0 digital transformation. Advances in Intelligent Systems and Computing 739: 721–732. doi:10.1007/978-981-10-8612-0_75
Hammer, M. 2019. Digitization Perspective: Impact of Digital Technologies in Manufacturing. Springer Nature 2019 27–68. doi:10.1007/978-3-658-22939-9_3
Hermann, M., Pentek, T. & Otto, B. 2016. Design principles for industrie 4.0 scenarios. Proceedings of the Annual Hawaii International Conference on System Sciences 2016- March: 3928–3937. doi:10.1109/HICSS.2016.488
Higgins, J. & Green, S. 2011. Cochrane Handbook for Systematic Reviews of Interventions. The Cochrane Collaboration.
Hofstede, G. 2011. Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture. doi: 0.9707/2307-0919.1014
Holler, J., Tsiatsis, V., Mulligan, C., Avesand, S., Karnouskos, S. & Boyle, D. 2014. From Machine-ToMachine to the Internet of Things. From Machine-ToMachine to the Internet of Things. doi:10.1016/C2012-0-03263-2
Hong, A. J. & Kim, H. J. 2018. College Students‟ Digital Readiness for Academic Engagement (DRAE) Scale: Scale Development and Validation. Asia-Pacific Education Researcher 27(4): 303–312. doi:10.1007/s40299-018-0387-0
Ivanov, D., Dolgui, A. & Sokolov, B. 2018. The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research 0(0): 1–18.doi:10.1080/00207543.2018.1488086
Jones, M., Zarzycki, L. & Murray, G. 2017. Does Industry 4.0 pose a challenge for the SME Machine builder ? A case study and reflection of readiness for a UK SME. TQC Nottingham UK 1–10.
Kagermann, Wahlster, W. & Helbig, J. 2013. Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 WG.
Kamble, S. S., Gunasekaran, A. & Gawankar, S. A. 2018. Sustainable Industry 4.0 framework : A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection 117: 408–425. doi:10.1016/j.psep.2018.05.009
Kiel, D. 2015. The Impact Of The Industrial Internet of Things On Businesses. International Association for Management of Technology (May): 1–5.
Kiel, D. 2017. What do we know about “ Industry 4.0” so far? International Association for Management of Technology (May): 0–22.
Kohlegger, M., Maier, R. & Thalmann, S. 2009. Understanding maturity models results of a structured content analysis. Proceedings of I-KNOW 2009 - 9th International Conference on Knowledge Management and Knowledge Technologies and Proceedings of ISEMANTICS 2009.
Kroell, C., Peinl, P. & Pommnitz, J. 1994. Extensions of the Internet protocol for wireless communication. IFIP Transactions A: Computer Science and Technology.
Kuan, K. K. Y. & Chau, P. Y. K. 2001. A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework. Information and Management. doi:10.1016/S0378-7206(01)00073-8
Lee, A. S. & Baskerville, R. L. 2012. Conceptualizing generalizability: New contributions and a reply. MIS Quarterly: Management Information Systems.
Lee, J., Bagheri, B. & Kao, H.-A. 2014. Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics. Int. Conference on Industrial Informatics (INDIN) (November 2015): 1–6. doi:10.13140/2.1.1464.1920
Linden, A. & Fenn, J. 2003. Understanding Gartner‟s hype cycles. Strategic Analysis Report No R-20-1971. Gartner Research.
Lokuge, S., Sedera, D., Grover, V. & Xu, D. 2018. Organizational readiness for digital innovation: Development and empirical calibration of a construct. Information & Management. doi:10.1016/j.im.2018.09.001
Lorenz, R., Lorentzen, K., Stricker, N. & Lanza, G. 2018. Applying User Stories for a customer-driven Industry 4.0 Transformation. IFAC-PapersOnLine 51(11): 1335–1340. doi:10.1016/j.ifacol.2018.08.345
Mohd Fadzil, N. A., Jaafar, A., Abdullah, R. & Azmi Murad, M. A. 2015. Preliminary Study of Knowledge Management (KM) Practices in Malaysian Automotive Industry. Journal of Computer Science & Computational Mathematics 5(1):13–20. doi:10.20967/jcscm.2015.01.003
Obermaier, J. & Hutle, M. 2016. Analyzing the security and privacy of cloud-based video surveillance systems. IoTPTS 2016 - Proceedings of the 2nd ACM International Workshop on IoT Privacy, Trust, and Security, Co-located with Asia CCS 2016. doi:10.1145/2899007.2899008
Peña-lópez, I. 2014. Measuring digital development for policy-making : models, stages, characteristics and causes. Universitat Oberta de Catalunya (May): 0–30.
Peter, C. 2017. Developing a Maturity Model for Assessing “Old Economy” Businesses´ Readiness to Adopt Artificial Intelligence. Kansas State University 1–55.
Pick, J. B. & Azari, R. 2011. A Global Model of Technological Utilization Based on Governmental, BusinessInvestment, Social, and Economic Factors. Journal of Management Information Systems. doi:10.2753/mis0742-1222280103
Schaupp, E., Abele, E. & Metternich, J. 2017. Potentials of Digitalization in Tool Management. Procedia CIRP 63: 144–149. doi:10.1016/j.procir.2017.03.172
Schneider, P. 2018. Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field. Review of Managerial Science, hlm. Vol. 12. Springer Berlin Heidelberg. doi:10.1007/s11846-018-0283-2
Schwab, K. 2017. The Fourth Industrial Revolution. The Currency Press, Redfern, New South Wales.
Türkmen S.Y. (2018) Industry 4.0 and Turkey: A Financial Perspective. In: Dincer H., Hacioglu Ü., Yüksel S. (eds) Strategic Design and Innovative Thinking in Business Operations. Contributions to Management Science. Springer, Cham.
Gentile, B. F., & Miller, B. O. (2009). Foundations of psychological thought: A history of psychology. Sage Publications, Inc.
Sommer, L. 2015. Industrial Revolution - Industry 4.0: Are German Manufacturing SMEs the First Victims of this Revolution? Journal of Industrial Engineering and Management 8(5): 1512–1532. doi:10.3926/jiem.1470
Srivastava, S. C. & Teo, T. S. H. 2006. Facilitators for egovernment development: An application of the technologyorganization-environment framework. Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006.
Thuemmler, C. & Bai, C. 2017. Health 4.0: Application of Industry 4.0 Design Principles in Future Asthma Management. Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare 1–254. doi:10.1007/978-3-319-47617-9
Tornatzky, L. G. & Fleischer, M. 1990. The Process of Technology Innovation. Lexington Books, Lexington, MA. doi:10.1016/0925-5273(98)00075-9
Tranfield, D., Denyer, D. & Smart, P. 2003. Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management. doi:10.1111/1467-8551.00375
Tukker, A. 2004. Eight Types of Product Service Systems: Eight ways to sustainability? Experiences from Suspronet. Business Strategy and the Environment 13(4): 246–260. doi:10.1002/bse.414
Ustundag, A. & Cevikcan, E. 2018. Industry 4.0: Managing The Digital Transformation. Springer. doi:10.1007/978-3-319-57870-5
Vazire, S. 2018. Implications of the Credibility Revolution for Productivity, Creativity, and Progress. Perspectives on Psychological Science. doi:10.1177/1745691617751884
Venkatesh, V. & Zhang, X. 2010. Unified theory of acceptance and use of technology: U.S. vs. China. Journal of Global Information Technology Management 13(1): 5–27. doi:10.1080/1097198X.2010.10856507
Wang, Y., Wang, G. & Anderl, R. 2016. Generic Procedure Model to Introduce Industrie 4.0 in Small and Medium-sized Enterprises. Proceedings of the World Congress on Engineering and Computer Science II: 971–976.
Xu, L. Da, Xu, E. L. & Li, L. 2018. Industry 4.0: state of the art and future trends. International Journal of Production Research 7543: 1–22. doi:10.1080/00207543.2018.1444806
Zhong, R. Y., Xu, X., Klotz, E. & Newman, S. T. 2017. Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering 3(5): 616–630. doi:10.1016/J.ENG.2017.05.015
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
