Evaluating Model of Corporate Social Responsibility Based on Fuzzy Topsis: Taking Transportation Industry as Example

Abstract

Abstract:

Based on ISO26000 of International Organization for Standardization and the G4 standard of the Global Reporting Initiative, this paper chooses 42 transportation industry listed companies as the research object, and uses Principal Basis Analysis to select the indicators that have significant impact on the evaluation of corporate social responsibility. And then, after using Correlation Analysis to eliminate the indicators that reflect repeated information, this paper builds an index system of social responsibility evaluation of transportation industry which include 7 first-level criterion layers, 12 second-level criterion layers and 39 indexes. The fuzzy Topsis is used to weight the index to construct the social responsibility performance evaluation model of the transportation enterprise. The innovation and characteristics of the study:First, this paper uses the expert experience to determine the most conservative value, the most likely value and the most optimistic value of index important degree. The triangular fuzzy entropy is also used in this paper to empower the index to ensure that the weight has the more realistic reflection on the subjective views of experts. Besides, this paper uses the close degree introduced by Topsis to construct the distance function of an individual firm to the positive ideal solutions and the negative ideal solution to calculate the score of the corporate social responsibility performance. Second, the Gram-Schmidt orthogonal method is used to transform the index z-score normalized data vector orthogonally, and according to the principle that the larger the variance is, the more information is carried in the corresponding index, this paper gradually selects the index vector corresponding to the maximum variance as the base until the new variance of the selected substrate reaches the threshold. By preserving the indexes selected by the base and removing the remaining indicators, the evaluation index system of corporate social responsibility in the transportation industry is constructed to ensure that the index after screening has a significant effect on the evaluation results.

Key words: corporate social responsibility evaluation, transportation industry, principal basis analysis, fuzzy Topsis

Meng Bin, Shen Siyi, Kuang Haibo, Li Fei, Feng Haoyue. Evaluating Model of Corporate Social Responsibility Based on Fuzzy Topsis: Taking Transportation Industry as Example[J]. , 2019, 31(5): 191-202.

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