Stakeholders’ environmental preferences based corporate environmental information influencing factors research

Abstract

Attracted widespread attention from stakeholders, environmental information disclosed by companies can show the situations that corporates fulfill their environmental obligations. Different corporate stakeholders usually pay diverse attention to key environmental information factors due to their various industries, investment levels, identity characteristics, etc. However, the previous researches are not scientific enough due to the lack of reflecting the importance of environmental information according to the preferences of stakeholders. To fill this gap, this paper applies a fuzzy analysis model as the internal type‐2 trapezoidal fuzzy numbers —analytic hierarchy process (AHP) based ordinary least square regression to comprehensively reflect the preferences of stakeholders. Following that, this paper utilizes the data from 62 Chinese power companies as an example, and the results show that environmental information disclosed (EID) quality is positively correlated with regional economic development level and executive salary incentives. Moreover, the corporate political connection weakens the interaction between salary incentives and EID, which can be further confirmed by robustness analysis. Finally, this paper contributes to the literature on the research methods on EID by considering stakeholders’ preferences in the fuzzy environment.

Random Matrix-Based Multivariate Statistical Analysis of Enterprises in a Distributed Environment Human Resource Management

“…e current research work is based on a centralized matrix decomposition recommendation algorithm that generates random noise and interferes with the objective function [22]. Considering that there will not be real-time end-to-end communication between users and considering the actual scenario, such as real-time communication between users and users and the number of projects and users, determines the dimensionality of the random user matrix; when the data of participating users and projects are too large, due to the large dimensionality of the random matrix, even if the transmission between users and users will significantly increase the communication spending, to ensure data security, we do not take a trusted third party, but using a pseudorandom function generator between users to generate a high-dimensional matrix is very efficient.…”