A hybrid multiple criteria decision analysis framework for corporate social responsibility implementation applied to an extractive industry case study

Jolanta Poplawska, Ashraf Labib, Debbie Reed

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Abstract

Integration of Corporate Social Responsibility (CSR) into a company’s mainstream strategy is a complex task. Practical implementation of CSR requires analysis of both the external and internal environments to determine the prospects and challenges significantly influencing integration of sustainability into business strategy. In order to overcome limitations of single multi criteria decision analysis (MCDA) models, this article proposes a hybrid integrated framework combining cognitive mapping (CM), and analytic networks process (ANP) to determine, prioritise and select CSR programmes for implementation. The strategic cognitive map serves as a foundation to build the ANP network and identify the importance of CSR programmes. A knapsack optimisation method is then used to optimally assign resources to CSR alternatives. We demonstrate the usefulness of the framework through a case study in the extractive sector. The framework was empirically tested with 61 respondents using postal and online surveys, MBA workshops and conference networking.
Original languageEnglish
Pages (from-to)1491–1505
Number of pages15
JournalJournal of the Operational Research Society
Volume66
Issue number9
Early online date10 Dec 2014
DOIs
Publication statusPublished - 1 Sep 2015

Keywords

  • Allocation
  • Cognitive mapping
  • Strategic planning
  • Decision support systems
  • Corporate planning

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