Investigating the Effect of Personality and Structural Characteristics of Management on Corporates Social Responsibilities: Emphasis on Data Mining Models and Data Envelopment Analysis (DEA)

The purpose of this study is to survey the effect of a set of personality characteristics (including: myopia, optimism and conservatism) and management structure (including: board independence, gender diversity, entrenchment and management ability) on corporate social responsibilities.

In order to achieve the purpose of the study, a sample of 155 companies listed on the Tehran Stock Exchange, in the period from 2007 to 2018, using statistical methods such as regression model based on panel data and data mining methods (Neural networks and decision tree), was analyzed.

The results of the two methods showed that only a limited number of management characteristics have had a significant impact on the corporate social responsibilities.

The findings of regression research methods showed that only optimism and myopia of managers' personality features and management entrenchment and board independence from structural management characteristics had a significant effect on corporate social responsibilities. However, a comparison of the results of regression methods and data mining models showed that only the optimism and managerial myopia in both methods had a significant effect on corporate social responsibilities. These results indicate that the corporate social responsibilities have been influenced by factors other than management characteristics, such as rules and regulations or the mechanisms of corporate governance.

In this study, for the first time, comprehensively, various aspects of management characteristics (personality and structural) with the corporate social responsibilities have been evaluated. In addition to regression approach, the use of data mining approach in the examining the relationship between managers' characteristics and corporate social responsibilities is also one of the contributions of this research.