Stakeholder profile definition and salience measurement with fuzzy logic and visual analytics applied to corporate social responsibility case study

Jolanta Poplawska, Ashraf Labib, Deborah M. Reed, Alessio Ishizaka

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Abstract

Several stakeholder categorisation frameworks have been proposed in the literature. Although the triple intersecting circles representation eof power, urgency and legitimacy e is the most used, it has the limitation of any categorisation technique: a stakeholder can only belong to a predefined category and there can be no indication of a personalised profile that had not been identified a priori. To solve these issues, we propose a new framework based on fuzzy logic and visual analytics, which is capable of precisely assessing stakeholders' importance by indicating the exact degree of membership to a particular interest group. As an illustrative case study, this framework has been applied to construct and visualise the profile of key extractive sector stakeholders and measure their salience in a corporate social responsibility context. Results indicate that management and community have the highest salience.
Original languageEnglish
Pages (from-to)103-115
JournalJournal of Cleaner Production
Volume105
Early online date7 Nov 2014
DOIs
Publication statusPublished - 15 Oct 2015

Keywords

  • Corporate social responsibility
  • Fuzzy logic
  • Stakeholder theory
  • Stakeholder salience

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