Abstract
PurposeThe purpose of this paper is to present a model, which assesses the wide range of data offered in non-financial reports, and enables benchmarking of these data between different organizations.Design/methodology/approachThis work uses aspects of fuzzy logic and qualitative comparative analysis to build fuzzy sets, which form the basis of the benchmarking tool.FindingsThe model presented permits the identification of both negative and positive aspects of an organization’s CSR actions, and shows where improvements can be made by highlighting the standards reached by others.Originality/valueThe model offers a benchmarking tool that allows analysis of non-financial reporting, something missing from the field of CSR until now. Additionally, it offers a new approach where data sets are constructed to measure environmental/social impact in function of each unit of economic value generated. This approach aligns social/environmental and economic performance, thereby emphasizing the interconnectivity of a company’s financial, social and environmental bottom lines.
Subject
Business and International Management,Strategy and Management
Reference108 articles.
1. Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis;Ecological Economics,2004
2. The nature and management of ethical corporate identity: a commentary on corporate identity, corporate social responsibility and ethics;Journal of Business Ethics,2007
3. An account of sustainability: failure, success and a reconceptualization;Critical Perspectives on Accounting,2001
4. Berman, J., Webb, T., Fraser, D., Harvey, P., Barsky, J., Haider, A. and Mundy, H. (2003), “Race to the top: attracting and enabling global sustainable business”, Business Survey Report, World Bank Group, Washington, DC.
5. Is sustainability performance comparable? A study of GRI reports of mining organizations;Business & Society,2017
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献