Research on Network Status and Transformation Path Design of Manufacturing Enterprises Under the Impact of International Supply Chains
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Abstract
Under global geopolitical restructuring and economic pattern adjustment, frequent international supply-chain shocks have severely affected the network connectivity and development resilience of manufacturing enterprises. Enterprise network status, as a key indicator of resource acquisition, power dominance, and collaboration capacity in supply-chain networks, directly influences firms’ shock-response ability and transformation effectiveness. Taking manufacturing enterprises as the research object, this paper integrates supply-chain risk management theory, social network theory, and enterprise transformation theory to analyze the relationship between international supply-chain shocks, enterprise network status, and transformation paths. Based on questionnaire survey, empirical analysis, and case analysis, the study identifies major shock types, including geopolitical shock, technology supply cut-off, energy price shock, and extreme climate shock, and measures network status using degree centrality, betweenness centrality, and structural holes. Empirical results show that international supply-chain shocks negatively affect manufacturing enterprises’ network status through direct and indirect pathways, and that the impact varies significantly across core, intermediate, and peripheral node enterprises. Accordingly, differentiated transformation paths are proposed: leading transformation for core nodes, collaborative transformation for intermediate nodes, and breakthrough transformation for peripheral nodes.
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References
Y. Guo, F. Liu, J. Song S, et al., “Supply chain resilience: A review from the inventory management perspective,” Fundamental Research, vol. 5, no. 2, pp. 450-463, 2025, DOI: 10.1016/J.FMRE.2024.08.002.
R. Cai, “Overseas investment by Chinas manufacturing industry: where to go?,” China Economic Journal, vol. 18, no. 1, pp. 58-77, 2025, DOI: 10.1080/17538963.2024.2447659.
J. Chen, L. Song, and L. Xie, “Ensuring the supply and stable price of energy: The role of energy state-owned enterprises,” Energy, pp. 322, 2025, DOI: 10.1016/j.energy.2025.135644.
H. Ma and C. Kang, “Research on the Impact of the Development of Chinas Digital Trade on the International Competitiveness of the Manufacturing Industry,” Systems, vol. 13, no. 4, pp. 283, 2025, DOI: 10.3390/SYSTEMS13040283.
D. Gao, Z. Wang, and W. Zhang, “Supply chain network, digital transformation, and investment efficiency,” Applied Economics, vol. 57, no. 49, pp. 8086-8102, 2025, DOI: 10.1080/00036846.2024.2394704.
S. Carnovale, S. Duhadway, S. Patrucco A, et al., “Balancing risk and resilience: how network structures and firm strategies mitigate supply chain disruptions,” International Journal of Physical Distribution & Logistics Management, vol. 55, no. 7, pp. 761-790, 2025, DOI: 10.1108/IJPDLM-08-2024-0310.
V. Mishra, P. Sharma, K. Khound, et al., “Global Supply Chain Shocks and Trade Resilience: A Review Post-Covid and Ukraine Crisis,” Journal of Marketing & Social Research, vol. 2, no. 5, pp. 336-348, 2025, DOI: 10.61336/jmsr/25-05-38.
Y. Chu, “Establishing an independent, controllable, safe and efficient supply chain system,” China Storage & Transport, no. 12, p. 12, 2021, DOI: 10.16301/j.cnki.cn12-1204/f.2021.12.001.
H. Fouad and N. Rego, “Can social network analysis contribute to supply chain management? A systematic literature review and bibliometric analysis,” Heliyon, vol. 10, no. 5, Art. no. e26598, 2024, DOI: 10.1016/J.HELIYON.2024.E26598.
M. Giannakis, “The intellectual structure of the supply chain management discipline: A citation and social network analysis,” Journal of Enterprise Information Management, vol. 25, no. 2, pp. 136-169, 2012, DOI: 10.1108/17410391211204392.
Y. Shi J, H. Yang J, X. Li Y, et al., “One small stroke affects the whole situation: Supply network position, operational risk and corporate performance,” China Industrial Economics, no. 9, pp. 136-154, 2019, DOI: 10.19581/j.cnki.ciejournal.2019.09.008.
Y. Afifi M A, A. Hashem E A E, and R. Younis A A, “The Anatomy of a Good Concept: A Systematic Review on Cyber Supply Chain Risk Management,” Sustainability, vol. 18, no. 3, pp. 1151, 2026, DOI: 10.3390/SU18031151.
M. Noguerol V, J. Benavides C A, J. Prado P C, et al., “Transport collaboration network among competitors to improve supply chain antifragility,” European Journal of Innovation Management, vol. 28, no. 8, pp. 3570-3595, 2025, DOI: 10.1108/EJIM-12-2023-1094.
S. Borgatti P and X. Li, “On social network analysis in a supply chain context,” Journal of Supply Chain Management, vol. 45, no. 2, pp. 5-22, 2009, DOI: 10.1111/j.1745-493x.2009.03166.x.
Z. Liu, W. Cheng, M. He, et al., “Digital technology innovation, value chain reshaping and digital transformation,” Finance Research Letters, vol. 85, no. PA, Art. no. 107850, 2025, DOI: 10.1016/J.FRL.2025.107850.
Z. Bian and M. Luo, “Digital transformations impact on upstream green technology innovation: supply chain perspective,” Applied Economics, vol. 58, no. 15, pp. 2811-2828, 2026, DOI: 10.1080/00036846.2025.2482236.
S. Gupta, S. Modgil, A. Gunasekaran, et al., “Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain,” Supply Chain Forum: An International Journal, pp. 1-19, 2020, DOI: 10.1080/16258312.2020.1757369.