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 language | English |
|---|---|
| Pages (from-to) | 103-115 |
| Journal | Journal of Cleaner Production |
| Volume | 105 |
| Early online date | 7 Nov 2014 |
| DOIs | |
| Publication status | Published - 15 Oct 2015 |
Keywords
- Corporate social responsibility
- Fuzzy logic
- Stakeholder theory
- Stakeholder salience
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