Industry 4.0 and Digital Transformation: Enablers, Barriers, and Organisational Pathways to Performance
DOI:
https://doi.org/10.51137/wrp.ijarbm.670Keywords:
Industry 4.0, Digital Transformation, Organisational Readiness, Strategic Leadership, Dynamic CapabilitiesAbstract
This study critically examines the evolving relationship between Industry 4.0, digital transformation, and organisational performance, with a particular focus on the enablers, barriers, and socio-technical processes that shape successful transformation. The aim of the study is to clarify how organisations can convert the technological potential of Industry 4.0 into tangible and sustainable value. To achieve this, the study adopts a systematic literature review SLR approach, synthesising evidence from eighty-two peer-reviewed articles published between 2014 and 2024. The review followed a structured and transparent process, combining keyword-based searches in Scopus with filters for open-access, English-language publications, and journal articles. Thematic synthesis was then employed to extract insights from the findings, theoretical framings, and contextual discussions of the selected studies. The results indicate that digital transformation is not a purely technological upgrade but a holistic process of organisational change requiring the integration of strategy, culture, leadership, and governance with digital technologies. Key findings show that organisational readiness and maturity are decisive predictors of transformation success, while leadership commitment, cultural alignment, and business process management act as crucial enablers. Technologies such as IoT, AI, and analytics improve performance only when embedded in systems that enhance integration, visibility, and resilience across supply chains and organisational boundaries. Conversely, transformation is frequently stalled by human resistance, conceptual ambiguity, skill gaps, and weak governance structures.
References
Ahmed, S., Abd Aziz, N., Haque, R., Bin S. Senathirajah, A. R., & Qazi, S. Z. (2024). Digital transformation in Malaysian manufacturing: a study of change sensing and seizing capabilities. Cogent Business & Management, 11(1), 2392046.
Antony, J., Kaul, A., Bhat, S., Sony, M., Kaul, V., Zulfiqar, M., & McDermott, O. (2024). Critical failure factors for Quality 4.0: An exploratory qualitative study. International Journal of Quality & Reliability Management, 41(4), 1044–1062.
Antony, J., Sony, M., & McDermott, O. (2023). Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study. The TQM Journal, 35(2), 577-596
Antony, J., Sony, M., Furterer, S., McDermott, O., & Pepper, M. (2022). Quality 4.0 and its impact on organizational performance: an integrative viewpoint. The TQM Journal, 34(6), 2069-2084.
Cadden, T., Dennehy, D., Mantymaki, M., & Treacy, R. (2022). Understanding the influential and mediating role of cultural enablers of AI integration to supply chain. International Journal of Production Research, 60(14), 4592–4620.
Carvalho, A. M., Dias, A. R., Dias, A. M., & Sampaio, P. (2024). The Quality 4.0 Roadmap: Designing a capability roadmap toward quality management in Industry 4.0. Quality Management Journal, 31(2), 117-137. Scriven, P., Ledwith, A., & Nagle, T. (2024). Towards a lean digital transformation research framework: A literature review. Journal of Decision Systems, 33(sup1), 63–77.
Climent, R. C., Haftor, D. M., & Staniewski, M. W. (2024). AI-enabled business models for competitive advantage. Journal of Innovation & Knowledge, 9(3), 100532.
Dias, A. M., Carvalho, A. M., & Sampaio, P. (2022). Quality 4.0: literature review analysis, definition and impacts of the digital transformation process on quality. International Journal of Quality & Reliability Management, 39(6), 1312-1335.
Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: Theoretical operationalisation framework. Production Planning & Control, 29(8), 633–644.
Flores, E., Xu, X., & Lu, Y. (2020). Human Capital 4.0: a workforce competence typology for Industry 4.0. Journal of Manufacturing Technology Management, 31(4), 687-703.
Frederico, G. F., Garza-Reyes, J. A., Kumar, A., & Kumar, V. (2021). Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach. International journal of productivity and performance management, 70(4), 789-807.
Gonzalez, R., Gasco, J., & Llopis, J. (2024). Towards Organisation 4.0: An empirical study. International Journal of Information Management, 75, 102746.
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.
Horváth, D., & Szabó, R. Z. (2019). Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities? Technological Forecasting and Social Change, 146, 119–132.
Horváth, D., & Szabó, R. Z. (2019). Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?. Technological forecasting and social change, 146, 119-132.
Ito, A., Ylipää, T., Gullander, P., Bokrantz, J., Centerholt, V., & Skoogh, A. (2021). Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management. Journal of Manufacturing Technology Management, 32(9), 285–303.
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable operations and computers, 3, 203-217.
Lundgren, C., Berlin, C., Skoogh, A., & Källström, A. (2023). How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context. International Journal of Production Research, 61(15), 5282-5301.
Madsen, D. Ø. (2019). The emergence and rise of Industry 4.0 viewed through the lens of management fashion theory. Administrative Sciences, 9(3), 71.
Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for SMEs. Journal of Manufacturing Systems, 49, 194–214.
Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2020). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 58(5), 1384–1400.
Müller, J. M., Buliga, O., & Voigt, K.-I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2–17.
Müller, J. M., Kiel, D., & Voigt, K.-I. (2018). What drives the implementation of Industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(247), 1–24.
Nasir, A., Zakaria, N., & Zien Yusoff, R. (2022). The influence of transformational leadership on organizational sustainability in the context of industry 4.0: Mediating role of innovative performance. Cogent Business & Management, 9(1), 2105575.
Papadonikolaki, E., Krystallis, I., & Morgan, B. (2022). Digital technologies in built environment projects: Review and future directions. Project Management Journal, 53(5), 512–526.
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of management review, 46(1), 192-210.
Ramadan, M., Bou Zakhem, N., Baydoun, H., Daouk, A., Youssef, S., El Fawal, A., Elia, J., & Ashaal, A. (2023). Toward digital transformation and business model innovation: The nexus between leadership, organizational agility, and knowledge transfer. Administrative Sciences, 13(8), 185.
Reaidy, P. J., Marqués, L., Mzougui, I., Khelifi, S., Dweiri, F., & Alzoubi, Y. I. (2024). Unveiling the impact of Industry 4.0 on supply chain performance: The mediating role of integration and visibility. International Journal of Production Research.
Stentoft, J., Wickstrøm, K. A., Philipsen, K., & Haug, A. (2021). Drivers and barriers for Industry 4.0 readiness and practice: Empirical evidence from small and medium-sized manufacturers. Production Planning & Control, 32(10), 811–828.
Todisco, L., Tomo, A., Canonico, P., & Mangia, G. (2023). The bright and dark side of smart working in the public sector: employees' experiences before and during COVID-19. Management Decision, 61(13), 85-102.
Tortorella, G., Giglio, R., Fogliatto, F. S., & Sawhney, R. (2020). Mediating role of learning organization on the relationship between total quality management and operational performance in Brazilian manufacturers. Journal of Manufacturing Technology Management, 31(3), 524-541.
Trunk, A., Birkel, H., & Hartmann, E. (2020). On the current state of combining human and artificial intelligence for strategic organizational decision making. Business Research, 13(3), 875-919.
Van Doorn, J., Heyden, M. L. M., & Volberda, H. W. (2022). Opportunity or threat? Exploring middle manager roles in the face of digital transformation. Journal of Management Studies, 59(5), 1213–1241.
Venugopal, M., Madhavan, V., Prasad, R., & Raman, R. (2024). Transformative AI in human resource management: Enhancing workforce planning with topic modeling. Cogent Business & Management, 11(1), 2432550.
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. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems.
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Misheck Musaigwa, Fulufhelo Netswera (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
