Multi-Criteria decision analysis for optimizing proper selection medium for CSR in automobile industry
Reetik Kaushik, Roopa Singh, Sanchit Gupta, Ranganath M Singari
Industrial sector is comprised of various set of financial and non-financial target. Corporate Social Responsibility (CSR) is a concept that underlies a multi-pillar strategy where many quantitative and qualitative objectives of multiple stakeholders lever a company’s success. CSR refers to the totality of a corporation’s financial, social, and environmental performance in conducting its business. Making sure CSR initiatives tie back to company’s mission and align with their brand identity. It can be tempting to support a wide variety of non-profits, but it is more powerful to pick a few core focus areas in which to make a significant impact. Within the field of operations research, MCDA has evolved over the last three decades as one major discipline, it provides financial decision makers (DMs) and analysts a wide range of methodologies, which are well suited to the complexity of selecting optimum area for CSR in automobile Industry. The aim of this study is to provide an in-depth presentation of the contributions of MCDA in the field of finance, focusing on the methods used and their real-world applications to form a framework for selecting most suitable and profitable CSR initiatives through a survey of companies in automobile Industry.
Reetik Kaushik, Roopa Singh, Sanchit Gupta, Ranganath M Singari. Multi-Criteria decision analysis for optimizing proper selection medium for CSR in automobile industry. International Journal of Advanced Engineering and Technology, Volume 3, Issue 1, 2019, Pages 27-30