Digital Transformation in Manufacturing Enterprises: A Bibliometric Review of Research Trends and Thematic Evolution
Authors
FAW-Volkswagen Automobile Co., Ltd. (China)
Jilin Engineering Normal University (China)
Article Information
DOI: 10.47772/IJRISS.2026.10100483
Subject Category: Management
Volume/Issue: 10/1 | Page No: 6204-6219
Publication Timeline
Submitted: 2026-01-27
Accepted: 2026-02-02
Published: 2026-02-14
Abstract
Digital transformation has become a central strategic priority for manufacturing enterprises in response to rapid technological advancement, intensifying global competition, and the emergence of Industry 4.0. Although a rapidly growing body of research has examined digital transformation in manufacturing contexts, existing studies remain scattered across multiple disciplines, and a comprehensive synthesis of the intellectual structure of this field is still lacking. To address this gap, this study conducts a bibliometric review of digital transformation research in manufacturing enterprises based on publications retrieved from the Web of Science Core Collection.
Keywords
Digital transformation; Manufacturing enterprises; Industry 4.0; Bibliometric analysis
Downloads
References
1. Chen, C. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2(2), 1–40. https://doi.org/10.1515/jdis-2017-0006 [Google Scholar] [Crossref]
2. Chen, Y., Wang, Y., & Zhang, L. (2024). Digital transformation and corporate environmental performance: Evidence from manufacturing firms. Journal of Cleaner Production, 428, 140903. https://doi.org/10.1016/j.jclepro.2023.140903 [Google Scholar] [Crossref]
3. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525 [Google Scholar] [Crossref]
4. Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. [Google Scholar] [Crossref]
5. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070 [Google Scholar] [Crossref]
6. Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2022). Big data analytics capability and organizational resilience: The mediating role of organizational flexibility. International Journal of Production Research, 60(6), 1770–1789. https://doi.org/10.1080/00207543.2021.1876942 [Google Scholar] [Crossref]
7. Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. [Google Scholar] [Crossref]
8. 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. https://doi.org/10.1016/j.ijpe.2019.01.004 [Google Scholar] [Crossref]
9. Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727 [Google Scholar] [Crossref]
10. Kohtamäki, M., Parida, V., Oghazi, P., Gebauer, H., & Baines, T. (2020). Digital servitization business models. Journal of Business Research, 104, 380–392. https://doi.org/10.1016/j.jbusres.2019.06.027 [Google Scholar] [Crossref]
11. Kohtamäki, M., Henneberg, S. C., & Storbacka, K. (2024). Digital servitization and performance outcomes. Industrial Marketing Management, 114, 1–12. https://doi.org/10.1016/j.indmarman.2023.10.006 [Google Scholar] [Crossref]
12. Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2022). Digital transformation: An overview of the current state of the art of research. Journal of Business Research, 152, 602–614. https://doi.org/10.1016/j.jbusres.2022.07.003 [Google Scholar] [Crossref]
13. Li, L., Su, F., Zhang, W., & Mao, J. Y. (2023). Digital transformation and firm performance: Evidence from China. Journal of Business Research, 156, 113507. https://doi.org/10.1016/j.jbusres.2022.113507 [Google Scholar] [Crossref]
14. Liao, Y., Deschamps, F., Loures, E. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0: A systematic literature review and research agenda. International Journal of Production Research, 55(12), 3609–3629. https://doi.org/10.1080/00207543.2017.1308576 [Google Scholar] [Crossref]
15. Liu, Y., & Zhang, Y. (2024). Digital transformation, dynamic capabilities, and innovation performance. Technovation, 124, 102740. https://doi.org/10.1016/j.technovation.2023.102740 [Google Scholar] [Crossref]
16. Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5 [Google Scholar] [Crossref]
17. Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 41(1), 223–238. [Google Scholar] [Crossref]
18. Sjödin, D., Parida, V., Kohtamäki, M., & Wincent, J. (2023). Digital servitization pathways. Journal of Business Research, 155, 113412. https://doi.org/10.1016/j.jbusres.2022.113412 [Google Scholar] [Crossref]
19. Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007 [Google Scholar] [Crossref]
20. Tortorella, G. L., Fogliatto, F. S., & Mac Cawley, A. (2023). Digital technologies and manufacturing performance: The role of organizational integration. Journal of Manufacturing Technology Management, 34(2), 359–377. https://doi.org/10.1108/JMTM-06-2022-0246 [Google Scholar] [Crossref]
21. 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. [Google Scholar] [Crossref]
22. Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. [Google Scholar] [Crossref]
23. Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001 [Google Scholar] [Crossref]
24. Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203. [Google Scholar] [Crossref]
25. Zhang, M., Chen, H., & Wang, Y. (2023). Digital servitization and firm performance. Industrial Marketing Management, 109, 157–169. https://doi.org/10.1016/j.indmarman.2022.11.006 [Google Scholar] [Crossref]
26. Zhang, Y., Li, X., & Cui, L. (2024). Digital transformation and productivity in manufacturing firms. Technological Forecasting and Social Change, 198, 122945. https://doi.org/10.1016/j.techfore.2023.122945 [Google Scholar] [Crossref]
27. Zhou, K. Z., Gao, G. Y., & Zhao, H. (2022). Digital transformation and innovation. Journal of Management Studies, 59(2), 412–440. https://doi.org/10.1111/joms.12727 [Google Scholar] [Crossref]
28. Zhu, J., Li, J., & Wang, Y. (2022). Digital transformation and green innovation. Business Strategy and the Environment, 31(8), 3795–3809. https://doi.org/10.1002/bse.3089 [Google Scholar] [Crossref]
29. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- The Indirect Effect of Liquidity and Activity on Company Value with Profitability as an Intervening Variable
- Effect of Financial Skills, Knowledge, and Attitude on The Financial Behaviour of Clergy
- A Decade of Review: Trends in Budget Execution and Financial Performance of Development Projects in Tanzania (2014/15-2023/24)
- The Influence of Pre-Project Planning on the Budget Absorption Rate of Public Funded Infrastructure Projects in Kenya a Comparative Case Study of Narok, Migori, and Kisii County Government Projects
- Assessment of Factors Influencing Digital Transformation in Hotels’ Facility Management in Abuja Metropolis, Nigeria