Abstract

At present, manufacturing enterprises in China and across the world are undergoing a critical period of transformation and upgrading for sustainable development, with various obstacles such as financing difficulties and imperfect production facilities. The emergence of the sharing economy may provide a feasible solution for manufacturing enterprises, but meanwhile, unpredictable risks are bound to arise in the process of Engagement in the Sharing Economy of Manufacturing Enterprises (ESEME), and the assessment for the risk of ESEME is an important issue that requires special attention. Based on the characteristics of ESEME, a risk assessment indicator system is constructed, and a matter–element extension based approach is proposed to assess the risk of ESEME. The comprehensive risk value of ESEME can be calculated, and by means of sensitivity analysis and combinatory analysis, sensitive risk indicators and the risk type of indicators are identified. The innovation is embodied in three aspects: the sharing economy is studied by the matter–element extension method, the minimum deviation weight is adopted, and the risk is identified by sensitivity analysis and combinatory analysis. This assessment method is applied to enterprise E, and good results are obtained. This work is conducive to promoting manufacturing enterprises to engage in the sharing economy, which provides an effective vision for enterprises to implement risk management strategies, and also offers references for the government to formulate relevant policies for ESEME.

Highlights

  • The manufacturing industry plays an important role in promoting the world economy [1]

  • In the process of risk assessment, in order to avoid the one-sidedness of the indicators’ weights, this paper comprehensively considered the entropy weight method belonging to the objective weighting method and the order relation method belonging to the subjective weighting method, and determined the final risk indicators’ weights through the optimization idea of minimum deviation

  • Based on the matter–element extension method and the minimum deviation weighting method, this paper studies the risk issues of enterprise E engaging in the sharing economy

Read more

Summary

Introduction

The manufacturing industry plays an important role in promoting the world economy [1]. The sharing economy is different from the traditional business model and even surpasses it, which disaggregates resources and services in time and space; thereby, it has become a competitive business model [16] This economic model can meet the needs of demanders, and reduce the waste of resources, alleviate the pressure of the ecological environment, and further cater to the concept of sustainable development by making rational and effective use of offline idle materials or labor services. Martin [20] put forward another point of view that the sharing economy can create economic opportunities and achieve sustainable development for enterprises Based on these studies, we have reason to believe that small and medium-sized manufacturing enterprises can establish a mutually beneficial relationship with other enterprises through engaging in the sharing economy, where they can rent the equipment, technology, and other resources needed in the production and development process at a low cost. Construction of the Risk Assessment Indicator System and the Matter–Element Extension Based Approach for ESEME

Risk Assessment Indicator System
The Matter–Element Extension Based Approach for ESEME
Correlation Degree Calculation Method
Entropy Weight Method
The Order Relation Method
Minimum Deviation Weight
Comprehensive Risk Value Calculation Method
Sensitivity Analysis
Combinatory Analysis
Example Analysis
Determination of the Matter–Element Matrices
Calculation of Indicator’s Weight
Calculation of the Comprehensive Risk Value
Analysis of Calculation Results
Theoretical Implications
Practical Implications
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.