A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance

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Title:	A Fusion Approach for Exploring the Key Factors of Corporate Governance on Corporate Social Responsibility Performance
Authors:	Hu, KH (Hu, Kuang-Hua) Lin, SJ (Lin, Sin-Jin) Hsu, MF (Hsu, Ming-Fu)
Contributors:	會計學系暨研究所
Keywords:	ROUGH SET APPROACH FINANCIAL PERFORMANCE CEO COMPENSATION ENVIRONMENTAL PERFORMANCE EMPIRICAL-EXAMINATION BOARD CHARACTERISTICS DECISION-MAKING RISK-ASSESSMENT OWNERSHIP FIRMS
Date:	2018-05
Issue Date:	2019-01-17 15:21:23 (UTC+8)
Abstract:	It is widely recognized that a firm's well-established corporate governance (CG) has a considerable impact on its corporate social responsibility (CSR) performance. How to determine the main trigger among CG's indicators for strengthening CSR performance is thus an urgent and complicated task due to its (i.e., CSR) multi-dimensional and numerous perspectives. In order to solve this critical problem, the study breaks down CSR into four dimensions and further examines the impact of CG's indicators on each CSR dimension by joint utilization of rough set theory (RST) and decision tree (DT). By doing so, users can realize which one CG indicator is the most essential to CSR performance. Managers can take the results as a reference to allocate valuable and scarce resources to the right place so as to enhance CSR performance in the future. To solidify our research finding, we transform the CSR forecasting model selection into a multiple criteria decision making (MCDM) task and execute a MCDM algorithm. By implementing the MCDM algorithm, users can achieve a much more reliable and consensus decision in today's highly turbulent economic environment. The proposed mechanism, examined by real cases, is a promising alternative for CSR performance forecasting.
Appears in Collections:	[Department of Accounting & Graduate Institute of Accounting] periodical articles

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