Vulnerability evaluation of collaborative innovation network based on the anti-entropy weight method and cloud model

Abstract

Aiming at the uncertain perturbation behaviors of collaborative innovation subjects under the influence of the external environment and internal organizational structure, which lead to abnormal operation of collaborative innovation network, this paper proposes a new collaborative innovation network vulnerability evaluation method based on the anti-entropy weight method and cloud model. Firstly, combining the attribute characteristics of collaborative innovation network, the method constructs collaborative innovation network vulnerability evaluation index from four dimensions, environmental vulnerability, network structure vulnerability, innovation subject collaborative vulnerability, and network governance vulnerability, and the anti-entropy weight method is then used to calculate the weights of evaluation indexes. Secondly, to effectively cope with the randomness, fuzzy, and uncertainty of the evaluation information in the process of comprehensive evaluation, and to enhance the accuracy of the evaluation results, this paper fully utilizes the advantages of the cloud model in transforming fuzzy qualitative information to quantitative information. It constructs a comprehensive evaluation model of the vulnerability of collaborative innovation network based on the cloud model. Finally, the proposed method’s rationality, validity, and scientific nature are verified through the specific enterprise case. The case study reveals that the key factors affecting the vulnerability of collaborative innovation network are partner selection, benefit distribution mechanism, and risk prevention mechanism. Based on the findings, corresponding management countermeasures and suggestions are put forward. The aim is to provide technical support for enterprises to carry out collaborative innovation.