Assessing the Corporate Social Responsibility Using Shannon’s Entropy and VIKOR Methods
In today's modern society, companies are faced ever more with the increased demands in terms of corporate social responsibility (CSR) towards the economic, social, cultural and ecological environment. Thus development of tools for measuring progress in this field is crucial in order to show responsible behaviors in social terms. In this regard, the purpose of this paper is to develop a methodology based on the Multiple Criteria Decision Making (MCDM) approach in order to compare the probability of the companies' success regarding to the implementation of the concept of corporate social responsibility. For achieving this goal, first the main aspects in the CSR field and their related criteria are recognized through the comprehensive survey of the relevant literature. In this paper, Shannon’s entropy method is applied to determine weights of these main aspects according to the experts' opinions. Finally VIKOR method is used in order to rank the companies as our alternatives. Implementing this framework is demonstrated in an illustrative example.
Almendros, C., Anke, L., & Valdés, R. (2013). Corporate Social Responsibility in the IBEX 35: A Corpus-based Study of CSR Reports. Procedia Social and Behavioral Sciences , 95, 612 – 620.
Barnett, M. (2007). Shareholder influence capacity and the variability of financial returns to corporate social responsibility. Academy of Management Review , 32 (3), 794-816.
Bayoud, N., Kavanagh, M., & Slaughter, G. (2012). Factors Influencing Levels of Corporate Social Responsibility Disclosure by Libyan Firms: A Mixed Study. International Journal of Economics and Finance , 4 (4), 13-29.
Chen, S., & Fan, J. (2011). Measuring Corporate Social Responsibility Based on a Fuzzy Analytical Hierarchy Process. International Journal of Computer Network and Information Security , 5, 13-22.
Dahlsrud, A. (2008). How Corporate Social Responsibility is Defined: an Analysis of 37 Definitions. Corporate Social Responsibility and Environmental Management , 15, 1–13.
Fernando, M., & Almeida, S. (2012). The organizational virtuousness of strategic corporate social responsibility: A case study of the Sri Lankan family-owned enterprise MAS Holdings. European Management Journal , 30, 564– 576.
Harwood, R., Humby, S., & Harwood, A. (2011). On the resilience of Corporate Social Responsibility. European Management Journal , 29, 283– 290.
Holmes, L., & Watts, R. (2000). Corporate Social Responsibility: Making Good Business sense. Washington, DC: World business council for sustainable development.
Hopkins, M. (1998). The Planetary Bargain: Corporate Social Responsibility Comes of Age. Macmillan: London.
Inoue, Y., & Lee, S. (2011). Effects of different dimensions of corporate social responsibility on corporate financial performance in tourism-related industries. Tourism Management , 32, 790-804.
Johnson, B., Connolly, E., & Carter, T. (2011). Corporate Social Responsibility: The Role of Fortune 100 Companies in Domestic and International Natural Disasters. Corporate Social Responsibility and Environmental Management , 18, 352–369.
Kabir, M. H. (2011). Corporate social responsibility by Swaziland hotel industry. Procedia Social and Behavioral Sciences , 25, 73-79.
Mason, C., & Simmons, J. (2011). Forward looking or looking unaffordable? Utilising academic perspectives on corporate social responsibility to assess the factors influencing its adoption by business. Business Ethics: A European Review , 20 (2), 159-176.
Opricovic. (1998). “Multi-criteria optimization of civil engineering systems, “Faculty of Civil Engineering, Belgrade.
Opricovic, S., & Tzeng, G. H. (2002). Multicriteria planning of post earthquake sustainable reconstruction, Computer-Aided Civil and Infrastructure Engineering, no.17, pp. 211–220.
Opricovic, S., & Tzeng. G.H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, no.156, pp.445-455.
Pishvaee, M., Razmi, J., & Torabi, S. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems , 206, 1–20.
SÎRB, L. (2013). The Prediction of Successful Probability of CSR and Sustainable Development Strategy Implementation within “Roşia Montană Project” using Fuzzy Logic. Informatica Economică , 17 (2), 130-147.
Tafti, S., Hosseini, S., & Emami, S. (2012). Assessment the Corporate Social Responsibility according to Islamic values (Case study: Sarmayeh Bank). Procedia Social and Behavioral Sciences , 58, 1139 – 1148.
Taghizadeh, H., Fasghandis, G., & Zeinalzadeh, A. (2013). Evaluation of Corporate Social Responsibility using Fuzzy Expert System. Research Journal of Applied Sciences, Engineering and Technology , 6 (16), 3047-3053.
Tayşir, E., & Pazarcık, Y. (2013). Business ethics, social responsibility and corporate governance:Does the strategic management field really care about these concepts? Procedia Social and Behavioral Sciences , 99, 294 – 303.
Van Marrewijk, M. (2003). Concepts and definitions of CSR and corporate sustainability: between agency and communion. Journal of Business Ethics , 44, 95–105.
Velde, V., Vermeir, W., & Corten, F. (2005). Corporate social responsibility and financial performance. Financial Accounting , 5 (3), 129-138.
Yüksel, İ., & Dağdeviren, M. (2007). Using the analytic network process (ANP) in a SWOT analysis – A case study for a textile firm. Information Sciences , 177, 3364–3382.
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