Supply chain risk management based on enterprise performance analysis
DOI:
https://doi.org/10.54691/bcpbm.v26i.2087Keywords:
Enterprise performance; supply chain; risk management.Abstract
In order to reasonably strengthen the risk management of supply chain, the author proposes a method based on enterprise performance analysis. Taking China Mobile and China Unicom as examples, on the basis of analyzing the performance principles of supply chain working capital management, mainly from the two aspects of factors and channels, the working capital management of the two companies is comprehensively analyzed, and the differences in the working capital management performance of the two telecom operators from the perspective of supply chain are deeply analyzed, when conducting business management, it is necessary to pay more attention to the management of working capital, divide working capital from the perspective of supply chain, adopt targeted strategies for working capital management, and conduct scientific analysis of working capital performance to reduce the financial risk of enterprises. The author studies the performance improvement strategy of working capital management based on the perspective of supply chain, in order to improve the economic benefits of enterprises.
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Yang, Q. , Wang, Y. , & Ren, Y. . (2019). Research on financial risk management model of internet supply chain based on data science. Cognitive Systems Research, 56(AUG.), 50-55. DOI: https://doi.org/10.1016/j.cogsys.2019.02.001
Ganiyu, S. A. , Yu, D. , Xu, C. , & Providence, A. M. . (2020). The impact of supply chain risks and supply chain risk management strategies on enterprise performance in ghana. Open Journal of Business and Management, 08(4), 1491-1507. DOI: https://doi.org/10.4236/ojbm.2020.84095
Yao, F. , & Qin, Z. . (2021). Block chain based supply chain financial risk management research. Journal of Physics: Conference Series, 1744(2), 022027 (6pp). DOI: https://doi.org/10.1088/1742-6596/1744/2/022027
Wang, R. , Yu, C. , & Wang, J. . (2019). Construction of supply chain financial risk management mode based on internet of things. IEEE Access, 7(99), 110323-110332. DOI: https://doi.org/10.1109/ACCESS.2019.2932475
Ganguly, K. . (2019). Establishing link between quality management and supply chain risk management: a fuzzy ahp approach. TQM Journal, 32(5), 1039-1057. DOI: https://doi.org/10.1108/TQM-05-2019-0125
Qazi, A. , & Akhtar, P. . (2020). Risk matrix driven supply chain risk management: adapting risk matrix based tools to modelling interdependent risks and risk appetite. Computers & Industrial Engineering, 139(Jan.), 105351.1-105351.17. DOI: https://doi.org/10.1016/j.cie.2018.08.002
Ahmad, S. , Hadyait, M. A. , & Rashid, M. M. . (2019). Effect of supply chain risk management on organization performance: a case study of national foods manooabad muridke district sheikhupura. International Journal of Social Sciences and Economic Review, 1(1), 1-7. DOI: https://doi.org/10.36923/ijsser.v1i1.22
Ridwan, A. , Santoso, M. I. , Ferdinant, P. F. , & Ankarini, R. . (2019). Design of strategic risk mitigation with supply chain risk management and cold chain system approach. IOP Conference Series: Materials Science and Engineering, 673(1), 012088 (6pp). DOI: https://doi.org/10.1088/1757-899X/673/1/012088
Sun, G. . (2020). Quantitative analysis of enterprise chain risk based on svm algorithm and mathematical fuzzy set. Journal of Intelligent and Fuzzy Systems, 39(4), 5773-5783. DOI: https://doi.org/10.3233/JIFS-189054
Fan, X. . (2020). Regression analysis of supply chain financial risk based on machine learning and fuzzy decision model. Journal of Intelligent and Fuzzy Systems, 40(1), 1-11.
Kumar, A. , Garg, R. K. , & Garg, D. . (2019). An empirical study to identify and develop constructive model of e-supply chain risks based on indian mechanical manufacturing industries. Management Science Letters, 9(2), 217-228. DOI: https://doi.org/10.5267/j.msl.2018.12.001
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