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Measuring Corporate Social Responsibility Based on a Fuzzy Analytical Hierarchy Process
Author(s) -
Chen Shou-ming,
Jiasi Fan
Publication year - 2011
Publication title -
international journal of computer network and information security
Language(s) - English
Resource type - Journals
eISSN - 2074-9104
pISSN - 2074-9090
DOI - 10.5815/ijcnis.2011.05.02
Subject(s) - computer science , process (computing) , hierarchy , fuzzy logic , corporate social responsibility , analytic hierarchy process , process management , artificial intelligence , operations research , business , mathematics , public relations , law , political science , programming language
With increasing social awareness on the issue of corporate social responsibility (CSR), the measurement of CSR has received considerable attention in both academic literature and managerial practice. Following a review of CSR theory development and the literature on measures of CSR, this paper proposes a systematic approach to measure CSR using fuzzy analytical hierarchy process (FAHP). In addition, a preliminary investigation is presented to explain how the approach can help in evaluating CSR in practice.

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