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

机译:利用模糊逻辑和可视化分析的利益相关者概况定义和显着性测量应用于企业社会责任案例研究

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摘要

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.
机译:文献中提出了几种利益相关者分类框架。尽管使用三重相交的圆圈表示权力,紧迫性和合法性e,但是它具有任何分类技术的局限性:利益相关者只能属于预定义的类别,并且不能表示没有被个性化的配置文件确定先验。为了解决这些问题,我们提出了一个基于模糊逻辑和可视化分析的新框架,该框架能够通过指示特定兴趣组的确切成员身份来精确评估利益相关者的重要性。作为说明性案例研究,此框架已用于构建和可视化主要采掘部门利益相关者的资料,并在企业社会责任背景下衡量他们的显着性。结果表明,管理层和社区的重视度最高。

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