STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on the Evaluation of the Effectiveness of Digital Transformation in Manufacturing Industries
DOI: https://doi.org/10.62517/jbm.202609209
Author(s)
Siyao Li
Affiliation(s)
Business School, Shandong University of Technology, Zibo, Shandong, China
Abstract
As China's economy transitions from a phase of rapid growth to one of high-quality development, the digital economy, as a pivotal force in reshaping the global competitive landscape, has been incorporated into the core pillars of national strategic planning. Based on a systematic review of existing literature and case studies of leading enterprises, this paper identifies prominent issues such as the prevalence of single-dimensional evaluation criteria in current manufacturing digital transformation efforts. To address these bottlenecks, the study proposes establishing a multi-dimensional indicator system to facilitate the development of a quantifiable, traceable, and comparable evaluation framework for digital transformation outcomes in manufacturing enterprises, thereby providing a reference framework that combines theoretical depth with practical guidance for industrial policy formulation and corporate management decision-making.
Keywords
Manufacturing Industry; Digital Transformation; Effectiveness Evaluation
References
[1] Yang Zhusan, Li Xin. The Promoting Role of Digital Transformation in High-Quality Economic Development. Business Economics, 2024, (06):28-30. [2] Chudaeva A A, SvetkinaI A, Zotova A S. The Process of Production Digital Transformation at the Industrial Enterprise. Digital Age: Chances, Challenges and Future, 2020. [3] Chen C L, Lin Y C, Chen W H, Chen C L, Lin Y C, Chen W H, et al. Role of government to enhance digital transformation in small service business. Sustainability, 2021, 13(3): 1028. [4] Fan Decheng, Wang Ya. Research on the Impact of Digital Transformation on Innovation in Traditional Enterprises: A Case Study of Automotive Manufacturing Enterprises. Soft Science, 2022, 36(06):63-70. [5] Zhong Y, Chen Z, Ye J, Zhong Y, Chen Z, Ye J, et al. Exploring critical success factors for digital transformatio n in construction industry –based on TOE framework. Engineering, Construction and Architectural Management, 2025, 32(6): 4227-4249. [6] Chang Y W, Chen J. An empirical investigation of critical success factors in implementing digital transformation. Technological Forecasting and Social Change, 2025, 217: 124161. [7] Buccieri D, Javalgi R G, Jancenelle V E. Dynamic capabilities and performance of emerging market international new ventures: does international entrepreneurial culture matter? International Small Business Journal, 2021, 39(5): 474-499. [8] Liu Huiling, Qi Ruili. Research on the Factors Influencing Digital Transformation in China's Manufacturing Enterprises: An Analysis Based on the TOE Theoretical Framework. Productivity Research, 2025, (09):78-83. [9] Margiono A. Margiono A. Digital transformation: setting the pace. Journal of Business Strategy, 2021, 42(5): 315-322. [10] Alqoud A, Milisavljevic-Syed J, Salonitis K. Multi-criteria decision making in evaluating digital retrofitting solutions: utilising AHP and TOPSIS. Procedia CIRP, 2025, 132: 184-190. [11] Li L. Evaluation of Digital Transformation Maturity of Small and Medium ‐ Sized Entrepreneurial Enterprises Based on Multicriteria Framework. Mathematical Problems in Engineering, 2022, 2022(1): 7085322. [12] Chen Q, Zhang W, Jin N, Chen Q, Zhang W, Jin N, et al. Digital transformation evaluation for small-and medium-sized manufacturing enterprises using the fuzzy synthetic method DEMATEL-ANP. Sustainability, 2022, 14(20): 13038. [13] Liu Lu, Zhao Huijuan. Construction of an Evaluation System for Digital Transformation Capability in Automotive Manufacturing Enterprises. Science and Technology & Industry, 2024, 24(10):115-122. [14] Zhang Chengxin. Research on the Evaluation of Manufacturing Digital Transformation Based on the Entropy-Weighted TOPSIS Model. Modern Industrial Economics and Information Technology, 2024, 14(7):4-5, 9. [15] Liu H, Wang Y. TOPSIS method for ability evaluation of industrial internet platform energizing digital transformation of manufacturing with DHHFLTSs. International Journal of Knowledge-Based and Intelligent Engineering Systems, 2025, 29(3): 336-347. [16] Zhang Lingang, Dai Guoqing, Xiong Yan, et al. Evaluation and Influencing Factors of Digital Transformation in China's Manufacturing Industry: A Fuzzy Set Qualitative Comparative Analysis. Science and Technology Management Research, 2022, 42(07):68-78. [17] Liu Zhaoning, Zhang Shushan. How Can Digital Transformation Promote Corporate Development and Security? — From the Perspective of Coordinated Development of Efficiency and Resilience. Enterprise Economics, 2025, 44(05):108-117. [18] Zhang Jingyu, Gao Wei, Zheng Yuming, et al. Research on the Evaluation and Enhancement Strategies for Digital Transformation Benefits of Power Grid Enterprises: An Analysis Based on a Combination Model. Price Theory and Practice, 2025, (04):106–112+237. [19] Fu Yuhan, Wang Qingyu, Wang Qi, et al. Construction and Application of an Evaluation System for Digital Transformation in Manufacturing Enterprises. Science and Technology Management Research, 2024, 44(18):58-69.
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