Risk Assessment for Engagement in Sharing Economy of Manufacturing Enterprises: A Matter–Element Extension Based Approach

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.

Constructing a Risk Assessment Framework for Building Integrated Photovoltaic (BIPV) Projects from the Perspective of Four‐Dimensional Risk

“…Compared with the above risk assessment models, the matter-element extension model is a method that considers both quantitative and qualitative changes and can transform the contradictions in the objective world into the contradictions between matter elements. In addition, the model supports multiattribute risk analysis and is well integrated with the indicator system, taking into account the differences and inaccuracies of indicators at different risk levels [31]. Matter-element extension model is suitable for the evaluation and analysis of complex systems and has been widely applied in investment risk assessment [32], service quality assessment [33], environmental performance assessment [34], and many other fields.…”

Construction of the Primorsky No. 1 and No. 2 International Transport Corridors: Risk Evaluation and Mitigation Policies

“…The greater the degree of data dispersion, the smaller the information entropy, the greater the impact of the index on the comprehensive evaluation, and the greater the weight will be. The method of entropy can overcome the problems of randomness and conjecture that cannot be avoided by subjective methods and can effectively solve the problem of information overlapping among multiple indices, which is widely used in comprehensive evaluation systems [53,54], especially in systems that contain a large number of indices [43,55,56]. Therefore, to objectively and scientifically evaluate risk degree from the construction of the Primorsky No.…”

The Multiagent Evolutionary Game Research of Enterprise Resource Sharing on a Shared Manufacturing Platform

“…Tere are still many urgent problems to be solved in the process of sharing manufacturing resources. For example, the data centralization is obvious, the information symmetry is low, the responsibility mechanism of the sharing process is difcult to divide, and there are information barriers in sharing manufacturing enterprises [11]. Terefore, manufacturing enterprises will determine whether to share resources according to their own benefts.…”