DECISION MAKING BY EXTRACTING SOFT INFORMATION FROM CSR NEWS REPORT

Sin‐Jin Lin · Ming-Fu Hsu

24 citations0/0 files storedTechnological and Economic Development of Economy

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Corporate Social Responsibility Reporting Corporate Identity and Reputation Computational and Text Analysis Methods

Abstract

This study examines the impact of corporate social responsibility (CSR) news reports on corporate operating performance forecasting using a large database of publicly-listed electronics firms in Taiwan. Applying text mining techniques and latent topic modelling, we construct and measure the intensity of the CSR-corpus index (ICSRI), which can compress tremendous amounts of CSR textual information content into synthesized meaningful dimensions. By doing so, we are able to break down CSR news reports into multiple dimensions and then examine which dimension(s) affects operating performance. To offer decision-makers with a comprehensive, overarching view of the corporate’s operations, this study incorporates balanced scorecards (BSC) and multiple criteria decision analysis (MCDA) to form a final performance rank. The proposed approach, supported by real samples, can assist both internal and external stakeholders in allocating scarce resources to specific CSR dimensions to enhance a corporate’s growth potential as well as to achieve a win-win situation.

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1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1992The balanced scorecard : measures that drive performance 1979A Three-Dimensional Conceptual Model of Corporate Performance 1991The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders 1992The balanced scorecard--measures that drive performance.1966Financial Ratios As Predictors of Failure 2001Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility 2013Corporate social responsibility and access to finance

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