Abstract
The need for organizations to evaluate their environmental practices has been recently increasing. This fact has led to the development of many approaches to appraise such practices. In this paper, a novel decision model to evaluate company’s environmental practices is proposed to improve traditional evaluation process in different facets. Firstly, different reviewers’ collectives related to the company’s activity are taken into account in the process to increase company internal efficiency and external legitimacy. Secondly, following the standard ISO 14031, two general categories of environmental performance indicators, management and operational, are considered. Thirdly, since the assumption of independence among environmental indicators is rarely verified in environmental context, an aggregation operator to bear in mind the relationship among such indicators in the evaluation results is proposed. Finally, this new model integrates quantitative and qualitative information with different scales using a multi-granular linguistic model that allows to adapt diverse evaluation scales according to appraisers’ knowledge.
Highlights
Corporate Social Responsibility has a pivotal role in Business models and it has been differently defined along years, all definitions have five dimensions on common: The environmental, the social, the economic, the stakeholder and the voluntariness dimension
Some approaches are based on traditional methods like Multi-Attribute Analysis technique (MAA), Analytical Hierarchy Process (AHP), Analytical Network Process (ANP) and others developed models
Several references to diverse applications of multi-criteria analysis can be foun to specific issues in corporate environmental evaluation in [15]
Summary
Corporate Social Responsibility has a pivotal role in Business models and it has been differently defined along years, all definitions have five dimensions on common: The environmental, the social, the economic, the stakeholder and the voluntariness dimension. Choquet integral is adopted in the model-like aggregation operator (see [26]) The novelty of this model is its generality and its capacity to deal with evaluation frameworks in which different set of reviewers (internal and external, experts and non-experts) can assess criteria of diverse nature conforming a flexible heterogeneous framework where different domains of information (numerical, linguistic) are allowed. Another important improvement offered by this novel procedure is the management of interdependence among criteria by using the discrete Choquet integral.
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