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A quantitative approach to corporate social responsibility programme formulation
Author(s) -
Brice Helene,
Wegner Trevor
Publication year - 1989
Publication title -
managerial and decision economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 51
eISSN - 1099-1468
pISSN - 0143-6570
DOI - 10.1002/mde.4090100213
Subject(s) - corporate social responsibility , analytic hierarchy process , value (mathematics) , hierarchy , perception , process (computing) , quantitative analysis (chemistry) , business , economics , management science , public economics , marketing , public relations , political science , computer science , psychology , market economy , chromatography , machine learning , neuroscience , operating system , chemistry , mathematical economics
This paper proposes a quantitative methodology to support executive decision making in the allocation of scarce resources to competing demands in the area of Corporate Social Responsibility (CSR). The Analytical Hierarchy Process is used to translate subjective value judgements such as preferences and perceptions into quantitative measures. These utility values are then used to isolate the factors which determine the choice among the competing CSR programmes. The approach is illustrated with two case studies of South African organizations.