A Study on the Evaluation of High-Quality Development of Enterprises in the Context of Digital Transformation: A Case Study of Hualing Steel
DOI:
https://doi.org/10.63944/r2y.JFEMRKeywords:
Hualing Steel; high-quality development; digital transformation; entropy value method; Topsis methodAbstract
In the context of the digital economy, digital transformation of enterprises has become a current hot topic. This study focuses on Hualing Steel to explore how enterprises can achieve high-quality development through digital transformation. The paper employs indicators of efficiency, innovation, and green development, utilizing the entropy and TOPSIS methods to quantitatively assess transformation performance from 2013 to 2023. The analysis yields three key conclusions: (1) Digital transformation has yielded significant outcomes, with the highest comprehensive performance observed in 2021, coinciding with the launch of the 5G smart factory; (2) A structural characteristic of "efficiency improvement leading, with innovation-driven development lagging" is identified; (3) Recommendations are made for deepening the application of digital technologies, optimizing enterprise operation management systems, enhancing innovation-driven development, and improving talent development systems. These findings provide a theoretical framework and practical model for the transformation and upgrading of traditional manufacturing industries.
References
[1] Zhang Yongshan, Li Xiaobo, and Xing Mingqiang. (2021). "Enterprise Digital Transformation and Audit Pricing." Audit Research, n(03): 62-71.
[2] Ma Zongguo, Cao Lu. (2020). Construction and Measurement of an Evaluation System for High-Quality Development of Manufacturing Enterprises: An Analysis of 1,881 Listed Companies from 2015 to 2018. Science and Technology Progress and Policy, 37(17): 126-133.
[3] Wang Benqiang, Chen Meng, Zheng Shanshan. (2022). Comprehensive Evaluation of Inter-regional Scientific and Technological Innovation Capabilities in Anhui Province Based on the Analytic Hierarchy Process and Entropy Weight Method. Science and Technology Management Research, 42(2): 75-83.
[4] Wijaya E R, Rudianto. (2020). Selection of supplier for the evaluation of procurement of special chemicals using entropy method and Topsis in XYZ Company. IOP Conference Series: Materials Science and Engineering, 909(1). DOI: https://doi.org/10.1088/1757-899X/909/1/012046
[5] Mian Fu, Dandan Wang. (2020). Evaluation of Unit Canteen Suppliers Based on Entropy Method and Analytic Hierarchy Process. E3S Web of Conferences, 218. DOI: https://doi.org/10.1051/e3sconf/202021803054
[6] Lam Weng Siew et al. (2021). Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model. Entropy, 23(3): 320-320. DOI: https://doi.org/10.3390/e23030320
[7] Miao Chunxia. (2023). Digital Transformation, Management Power, and High-Quality Development of Enterprises. Accounting and Finance Bulletin, (11): 83-87.
[8] Wang Xi, Chen Xuejiao, Cao Jing, et al. (2023-09-11). The Impact of Digital Transformation on Enterprise High-Quality Development: An Enterprise Innovation and Risk-Taking Perspective . Science and Technology Progress and Policies: 1-10.
[9] Zhang Shaofeng, Xu Mengsu, Zhu Yue, et al. (2023). Technological Innovation, Organizational Resilience, and High-Quality Development of Manufacturing Enterprises. Science and Technology Progress and Policy, 40(13): 81-92.
[10] Wang Tingwei, Su Zhenfang, Li Jiazheng. (2023-09-11). Research on the Driving Mechanisms and Pathways of High-Quality Development in Manufacturing from a Configuration Perspective: A Fuzzy Set Qualitative Comparison Analysis. Soft Science: 3931-13.
[11] Lei Shangjun. (2023). Has Digital Transformation Driven Industrial Innovation? — Microevidence from Listed Companies. Jiangxi Social Sciences, 43(07): 110-120.
[12] Zhou Hongxing, Huang Songqin. (2023). Can Digitalization Empower Innovation? — The Impact of Digital Transformation on Innovation in Private Enterprises. Economic Dynamics, (07): 69-90.
[13] Pan Hongbo, Gao Jinhui. (2022). Digital Transformation and Enterprise Innovation: Empirical Evidence from Annual Reports of Chinese Listed Companies. Journal of Central South University (Social Sciences Edition), 28(05): 107-121.
[14] Chen Xiaoying. (2017). Evaluation of Financial Performance of Listed Coal Companies in China: A Study Based on the Entropy Method. Journal of Liaoning University of Technology (Social Sciences Edition), 9(4): 44-48.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Frontier in Economic and Management Research

This work is licensed under a Creative Commons Attribution 4.0 International License.