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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Angelina Zlobinova
Corporate Social Responsibility Analysis Based on the System-building Companies Practices
Finance
(Master’s programme)
2019
Wide corporate social responsibility (CSR) dissemination and evaluation are burdened with a number of theoretical, methodological and practical problems. These issues are associated with the following fact: along with the CSR information publication, stakeholders do not have any tools for its competent reading and use to assess the organizations’ investment attractiveness. This paper presents the author's CSR evaluation algorithm, with the help of which it is possible to rank the companies in accordance with their social responsibility level. Furthermore, the investment attractiveness evaluation model has been developed, which has been tested in the EViews package by correlation and regression analysis performing. During the interpretation of the results, the following conclusion was made: the lower integral CSR value leads to the higher company’s position in the socially responsible organizations rating, as a result, to the higher investment attractiveness level. Thus, stakeholders can use the models testing results making the decision which of the economic entities is more investment-attractive. It will reduce the investment risks likelihood and create favorable business conditions for long-term investments.

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