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

• We apply fuzzy logic to model stakeholders' salience.
• Stakeholders' importance indicated by an exact degree of group membership.
• We provide a dynamic stakeholder map.
• We ensure fair priority setting in stakeholder ranking.
• Stakeholders' prioritisation framework illustrated in CSR context.

Several stakeholder categorisation frameworks have been proposed in the literature. Although the triple intersecting circles representation –of power, urgency and legitimacy – 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.