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

Research output: Contribution to journalArticlepeer-review

680 Downloads (Pure)

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

Fingerprint

Dive into the research topics of 'Stakeholder profile definition and salience measurement with fuzzy logic and visual analytics applied to corporate social responsibility case study'. Together they form a unique fingerprint.

Cite this