Multiple-criteria decision-aiding framework to analyze and assess the governance of sustainability

Myriam Merad (), Nicolas Dechy, Frédéric Marcel and Igor Linkov
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Myriam Merad: INERIS, Parc technologique ALATA, BP 2
Nicolas Dechy: IRSN, BP 17
Frédéric Marcel: INERIS, Parc technologique ALATA, BP 2
Igor Linkov: US Army Engineer Research and Development Center

Environment Systems and Decisions, 2013, vol. 33, issue 2, 305-321

Abstract: Abstract Past and present disasters and scandals, such as the BP Deepwater Horizon oil disaster in the Gulf of Mexico in 2010, the Servier Mediator (Benfluorex) scandal in 2009 and the Enron collapse in 2001, have uncovered weaknesses in governance issues. The authors argue that there is a need to develop methods and tools to diagnose and assess the governance of organizations with respect to Sustainable Development (SD). However, this task remains difficult due to the fact that it is difficult to appraise the quality of governance. The authors propose a protocol to diagnose and analyze the governance of SD and explore the use of multiple-criteria decision-aiding methods to achieve this task. Two aggregation methods to assess the global governance are proposed: (1) The identification of a final governance index for an Organization. This method helps in establishing a global diagnosis of the quality of the governance of an Organization with respect to SD challenges. The governance index is based on the calculation of three indexes: the partial opportunity index, the partial risk index and the partial equilibrium index. (2) The ranking of a set of Organizations according to their governance of SD. This method aims at assessing a set of Organizations based on a pairwise comparison according to a set of criteria that represents the seven domains of the ISO 26000 norm (ISO 26000—Guidance on social responsibility, 2010). This method is based on the outranking aggregation approach ELECTRE III. A practical example is used to illustrate two methods of governance assessment.

Keywords: Governance; Corporate Social Responsibility; Sustainable Development; Indicators; Aggregation procedures (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10669-013-9447-4

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