Text-Mining Approach for Evaluation of Affective Management Practices

The purpose of this paper is to propose a text mining approach to evaluate companies’ practices on affective management. Affective management argues that it is critical to take stakeholders’ affects into consideration during decision-making process, along with the traditional numerical and rational indices. CSR reports published by companies were collected as source information. Indices were proposed based on the frequency and collocation of words relevant to affective management concept using text mining approach to analyze the text information of CSR reports. In addition, the relationships between the results obtained using proposed indices and traditional indicators of business performance were investigated using correlation analysis. Those correlations were also compared between manufacturing and non-manufacturing companies. The results of this study revealed the possibility to evaluate affective management practices of companies based on publicly available text documents. Keywords—Affective management, Affect, Stakeholder, Text mining.