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The Innovation and Change of Industrial Project Management Mode under the Background of Digital Transformation
DOI: https://doi.org/10.62381/ACS.ATSS2025.14
Author(s)
Zhe Huang
Affiliation(s)
Zhejiang Jiaxing Middle School, Jiaxing, Zhejiang, China
Abstract
Amid the wave of digital transformation, the industrial project management paradigm is encountering both significant challenges and transformative opportunities. This study seeks to examine the implications of digital transformation on industrial project management and to delineate pathways for innovative evolution within this context. Initially, the research investigates the technological advancements driven by digital transformation, including cloud computing, big data, and artificial intelligence, while highlighting their potential applications in industrial project management. Subsequently, the paper thoroughly examines how digital transformation enhances the industrial project management lifecycle, encompassing project planning, execution, monitoring, and closure. Furthermore, the study proposes actionable strategies and recommendations for fostering innovation in industrial project management practices, emphasizing the importance of enhancing workforce development, refining technical standards, and fostering interdisciplinary collaboration in the era of digital transformation.
Keywords
Digital Transformation; Industrial Project Management; Innovation and Change
References
[1] Hess, T., et al. (2019). Digital transformation of business models – A systematic review. In Proceedings of the 52nd Hawaii International Conference on System Sciences. [2] Verhoef, P. C., et al. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901. [3] Marston, S., et al. (2019). Cloud computing in industrial IoT: A survey of enabling technologies. IEEE Access, 7, 123115-123133. [4] Mikalef, P., et al. (2020). Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility. International Journal of Production Economics, 229, 107567. [5] Borgia, E., Fantacci, R., & Picano, B. (2020). Industrial internet of things: Challenges and future perspectives. IEEE Internet of Things Journal, 7(7), 6342-6356. [6] Dwivedi, Y. K., et al. (2021). Artificial intelligence for decision making in the era of big data -- Evolution, challenges and research agenda. International Journal of Information Management, 60, 102387. [7] Frank, A. G., et al. (2019). Smart manufacturing and Industry 4.0: A bibliometric analysis. Journal of Manufacturing Technology Management, 30(5), 910-930. [8] Ivanov, D., et al. (2020). Cloud supply chain: Integrating Industry 4.0 and digital platforms in the "Supply Chain-as-a-Service". Transportation Research Part E: Logistics and Transportation Review, 136, 101886. [9] Fitzgerald M., et al. (2021). Customer-centric digital transformation in manufacturing industries. Journal of Business Research, 131, 721-733.
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