Research on Risk Chain Identification of Business Management in Chinese SMEs Based on ISM-MICMAC Model

Authors

  • Yiheng Ding
  • Hanxuan Hu
  • Haiyang Zhang

DOI:

https://doi.org/10.54691/bcpbm.v36i.3439

Keywords:

ISM-MICMAC, Business Management Risk Chain.

Abstract

Under the background of the new era, enterprise business management faces the threat of various change factors, so it is very important to study the risk of enterprise business management. This paper summarizes the factors that affect the risk of enterprise business management through literature analysis, and constructs the index system of enterprise business management risk chain on this basis. Using the interpretative structural model (ISM), the accessibility matrix is calculated and decomposed; then, the cross-influence matrix (MICMAC) model is used to calculate the driving force and dependence of risk indicators, and finally the deep indicators are obtained. The results show that legal policy, macroeconomic environment, social environment and talent structure have strong driving force and low dependence, which are the deep indexes to control business management risk. Based on the ISM-MICMAC method, the key factors affecting business management risk are identified, which provides theoretical support for the effective construction of business management risk chain and points out the direction for subsequent research on business management risk.

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References

Ding Shuqin. Analysis of Internal Control from the Perspective of Cloud Computing Risk Management [J]. Finance and Accounting, 2015 (14): 48-50

Wu Jun, Li Jian, Wang Shouyang. Several important issues in supply chain risk management [J]. Journal of Management Science, 2006 (06): 1-12

Zhang Ning, Sun Baowen. Risk Management of Business Process Outsourcing Partnership [J]. Economic Management, 2009, 31 (03): 133-138

Xu Wanshan, Li Huimin. On Risk Management of Engineering Projects [J]. Coal Engineering, 2007 (08): 112-114

Tang Chengpeng, Zhang Zizi, Deng Hui, Xiao Yanwei. Multi period equilibrium analysis method of power market considering risk management [J]. Power System Automation, 2022,46 (10): 171-180

Liu Qinghua, Xu Zongwei, Wu Yong. Research on outsourcing risk management of technology-based SMEs based on value network model [J]. China Science and Technology Forum, 2009 (02): 62-65+75

Liu Guanchun, Zhang Jun, Liu Yuanyuan. Macroeconomic environment, risk perception and policy uncertainty [J]. World Economy, 2022,45 (08): 30-56

Zhang Lianmeng. On Enterprise Procurement Risk and Cost Control in the E-commerce Era [J]. China Aviation Weekly, 2022 (07): 43-45

Wei Ying. Research on Risk Identification, Assessment and Control of Rural Logistics E-commerce Management [J]. Agricultural Economics, 2016 (12): 79-81

Stanley Ho. Application of Economic Law in Modern Enterprise Business Management [J]. Legal Expo, 2021 (11): 86-87

Sun Xiaohua. The impact of corporate moral hazard behavior on customer behavior choice -- the intermediary effect based on brand attachment [J]. Business Economics Research, 2020 (20): 79-82

Li Qinqin Research on Supplier Management Improvement of S Machinery Company [D]. Jilin University, 2021

Zhang Xiaheng. Risk regulation mechanism and framework of Internet platform enterprise alliance based on blockchain [J]. China Circulation Economy, 2021,35 (05): 52-61

Li Youxu, Li Bin. On the Practice and Risk Management of Industrial Technological Innovation Strategic Alliance [J]. China International Finance and Economics (English and Chinese), 2018 (07): 21-22. DOI: 10.19516/j.cnki.10-1438/f.2018.07.013

Wang Qing, Chen Gang. Emotional contagion of entrepreneurial team risk perception [J]. Journal of Wuhan University of Technology (Social Science Edition), 2017, 30 (03): 1-8

Li Qiaozhen, Wang Hongwei. Seeing a Little to Prevent Risks - A Case Study on the Audit of System Construction and Implementation of S Company [J]. China Internal Audit, 2018 (09): 76-78

Zhang Yewei. Enterprise Business Management Communication Skills and Their Application [J]. Enterprise Reform and Management, 2021 (15): 51-52

Jiang Ning, Zhang Wengen, Wang Jian. Implementation and risk control of "dual platform" fund management informatization [J]. Finance and Accounting, 2014 (05): 61-62

Zhang Dong, Li Yingchao. Research on the Prevention and Control of Patent Risk in China's Patent Intensive Industries [J]. Science and Technology and Law, 2019 (03): 10-18

Li Fuhua. Focus and Role of Risk Control in Different Stages of Enterprise Development [J]. Financial Economy, 2019 (18): 102-103

Huang Qiang. On Corporate Culture and Risk Management [J]. Transportation Finance and Accounting, 2019 (03): 46-49+54

Jiang Xiaoyan, Yan Biqiong, Yu Jingyu, Liu Yong. Identification of hierarchical relationship of key risks of PPP projects based on ISM-fuzzy MICMAC method [J]. Journal of Civil Engineering and Management, 2018, 35 (06): 70-77. DOI: 10.13579/j.cnki.2095-0985.2018.06.042

Chen Peng, Cai Bing, Wu Minrong, et al. Obstacle analysis of application of blockchain technology in power data trading based on improved DEMATEL–ISM method under fuzzy environment[J]. Energy Reports, 2022, 8:4589-4607.

Zhao Huiru, Jiang Huijuan, Guo Sen. Research on operation early warning indicators of power grid companies based on ISM and MICMAC models [J]. Shaanxi Electric Power, 2015, 43 (03): 11-15

Jia Fan. Analysis of urban traffic congestion based on interpretative structural model and MICMAC [J]. Journal of Hebei University (Natural Science Edition), 2020, 40 (04): 344-350

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Published

2023-01-13

How to Cite

Ding, Y., Hu, H., & Zhang, H. (2023). Research on Risk Chain Identification of Business Management in Chinese SMEs Based on ISM-MICMAC Model. BCP Business & Management, 36, 243–253. https://doi.org/10.54691/bcpbm.v36i.3439