A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility

INTRODUCTION: Critical public opinion, based on information that is made available to the public through different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance. OBJECTIVES: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents. METHODS: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017. RESULTS: The results show that the proposed model can be replicated, after some adjustments. CONCLUSION: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is adequate for the analysis of social corporate responsibility.

[1]  C. Bhattacharya,et al.  Corporate crises in the age of corporate social responsibility , 2015 .

[2]  J. Barnard.  Exxon Collides With the "Valdez Principles" , 1990 .

[3]  W. Visser.  Corporate Social Responsibility in Developing Countries , 2008 .

[4]  J. Moon,et al.  'Implicit' and 'Explicit' CSR: A Conceptual Framework for a Comparative Understanding of Corporate Social Responsibility , 2008 .

[5]  D. Melé,et al.  Corporate Social Responsibility Theories: Mapping the Territory , 2004 .

[6]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[7]  Abagail McWilliams,et al.  Corporate Social Responsibility: a Theory of the Firm Perspective , 2001 .

[8]  Lotfi A. Zadeh,et al.  Is there a need for fuzzy logic? , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

[9]  Diana Hicks,et al.  The New York Times as a Resource for Mode 2 , 2013 .

[10]  Adilson Luiz Pinto,et al.  Scientific specialties in Green Chemistry , 2020, Iberoamerican Journal of Science Measurement and Communication.

[11]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

[12]  Pedro Neves,et al.  When Corporate Social Responsibility (CSR) Increases Performance: Exploring the Role of Intrinsic and Extrinsic CSR Attribution , 2015 .

[13]  J. Moon,et al.  Corporate Social Responsibility , 2004 .

[14]  John L. Campbell.  Why would corporations behave in socially responsible ways? an institutional theory of corporate social responsibility , 2007 .

[15]  M. Heide,et al.  Corporate Social Responsiveness:: Exploring the Dynamics of “Bad Episodes” , 2005 .

[16]  Thomas M. Jones,et al.  Corporate Social Responsibility Revisited, Redefined , 1980 .