The aim of this study is to propose a method to measure the Corporate Social Responsibility (CSR) identity (Otubanjo, 2013) of a firm. Using this method, based on a fuzzy logic expert system, it is possible to generate a comprehensive rating for the assessment of the sustainability of a firm. In fact, to ensure that a firm is CSR-compliant, it is important to express CSR principles in terms of measurable variables. Up to now, measurement has been hampered by a lack of clarity in theoretical frameworks and empirical methods for the CSR construct.
A fuzzy logic expert system for the measurement of Corporate Social Responsibility identity
R. Leopizzi;
2015-01-01
Abstract
The aim of this study is to propose a method to measure the Corporate Social Responsibility (CSR) identity (Otubanjo, 2013) of a firm. Using this method, based on a fuzzy logic expert system, it is possible to generate a comprehensive rating for the assessment of the sustainability of a firm. In fact, to ensure that a firm is CSR-compliant, it is important to express CSR principles in terms of measurable variables. Up to now, measurement has been hampered by a lack of clarity in theoretical frameworks and empirical methods for the CSR construct.File in questo prodotto:
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