Construction of Enterprise Operational Resilience for Sustainable Development: Data Perspective and Practical Implications

Authors

  • Yubing Su

DOI:

https://doi.org/10.54097/89gsyp60

Keywords:

Enterprise operational resilience, sustainable development, data-driven, practical pathways, data governance

Abstract

Under the multiple backgrounds of global geopolitical conflicts, supply chain fluctuations and the deepening of the "dual carbon goals", the coordinated promotion of enterprise operational resilience and sustainable development has become the key to survival and development. As a new production factor, data provides technical support and practical pathways for the deep integration of the two. From the perspective of data, this paper analyzes the internal relationship between enterprise operational resilience and sustainable development, reveals the core logic of data-driven resilience construction, combs the practical directions such as supply chain collaboration, production optimization, and ecological linkage, analyzes the practical obstacles such as data silos, compliance costs, and talent gaps, and extracts implications from the real practice of the industry. Research shows that data-lifecycle management can effectively improve enterprise risk resistance and resource utilization efficiency, provide feasible solutions for enterprises to achieve the dual goals of "risk resistance" and "green transition or green development", and provide references for the transformation of enterprises of different sizes and industries.

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References

[1] Duchek S. Organizational resilience: a capability-based conceptualization [J]. Business research, 2020, 13(1): 215-246.

[2] Ministry of Industry and Information Technology of the People's Republic of China. Report on the Development of Digital Transformation in the Manufacturing Industry [R]. Beijing: Ministry of Industry and Information Technology, 2023.

[3] Negri M, Cagno E, Colicchia C, et al. Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda [J]. Business Strategy and the environment, 2021, 30(7): 2858-2886.

[4] China National Petroleum Corporation. 2023 Social Responsibility Report [R]. Beijing: China National Petroleum Corporation, 2024.

[5] Zhang M, Huang Z. The impact of digital transformation on ESG performance: The role of supply chain resilience [J]. Sustainability, 2024, 16(17): 7621.

[6] MSCI Inc. 2023 Global ESG Ratings Report [R]. New York: MSCI Inc., 2023.

[7] Zamani E D, Smyth C, Gupta S, et al. Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review [J]. Annals of Operations Research, 2023, 327(2): 605-632.

[8] Vatankhah Barenji A, Liu X, Guo H, et al. A digital twin-driven approach towards smart manufacturing: reduced energy consumption for a robotic cell [J]. International Journal of Computer Integrated Manufacturing, 2021, 34(7-8): 844-859.

[9] Kim H. Performance from building smart factories of small-and medium-sized enterprises: The moderating effects of product complexity and company size [J]. International Journal of Operations & Production Management, 2022, 42(10): 1497-1520.

[10] Mishra R, Singh R K, Subramanian N. Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence [J]. The International Journal of Logistics Management, 2022, 33(3): 926-954.

[11] Onoja, J. P., Hamza, O., Collins, A., Chibunna, U. B., Eweja, A., & Daraojimba, A. I. (2021). Digital transformation and data governance: Strategies for regulatory compliance and secure AI-driven business operations. J. Front. Multidiscip. Res, 2(1), 43-55.

[12] International Data Corporation (IDC). Smarter Data Management Playbook 2023 (Asia Pacific Edition) [R]. Needham, Massachusetts: International Data Corporation, 2023.

[13] Wang, P., D'Cruze, H., & Wood, D. (2019). ECONOMIC COSTS AND IMPACTS OF BUSINESS DATA BREACHES. Issues in Information Systems, 20(2).

[14] China Academy of Information and Communications Technology (CAICT). 2023 Data Security Risk Report [R]. Beijing: China Academy of Information and Communications Technology, 2023.

[15] Omrani N, Rejeb N, Maalaoui A, et al. Drivers of digital transformation in SMEs [J]. IEEE transactions on engineering management, 2022, 71: 5030-5043.

[16] Rupeika-Apoga R, Bule L, Petrovska K. Digital transformation of small and medium enterprises: Aspects of public support [J]. Journal of Risk and Financial Management, 2022, 15(2): 45.

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Published

15-03-2026

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Articles