Assessment of Corporate Sustainability via Fuzzy Logic

被引:0
作者
Yannis A. Phillis
Benjamin J. Davis
机构
[1] Technical University of Crete,Department of Production Engineering and Management
[2] University of California,Department of Chemical and Biomolecular Engineering
来源
Journal of Intelligent and Robotic Systems | 2009年 / 55卷
关键词
Sustainability; Corporation; Corporate sustainability; Sensitivity analysis; Decision making;
D O I
暂无
中图分类号
学科分类号
摘要
Corporations interact with society and the physical and biological environment in ways that affect both sides. In this capacity, corporations play an important role in the sustainability of a region or country. Symmetrically, a corporation’s sustainability depends on the sustainability of its wider environment. In this paper, a multi-stage fuzzy reasoning model is presented to assess a corporation’s sustainability. The model has two fundamental components: human and ecological. The human component has up to four inputs: economic, political, knowledge, and welfare. The ecological component can also have up to four inputs: air, water, land, and biodiversity. Each of these eight components has a number of basic inputs suitable for evaluating a given corporation. The model can be used to assess a corporation’s sustainability, record its historical evolution, and compare the company to its direct competitors. Equally importantly, sensitivity analysis of the model reveals the most important basic indicators affecting corporate sustainability, identifying areas which managers and executives should place special attention. An application example based on three large international corporations in the same industry illustrates the usefulness of the model.
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页码:3 / 20
页数:17
相关论文
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