دانلود رایگان مقاله انتخاب تامین کننده بر اساس شیوه های مسئولیت اجتماعی شرکت

Abstract:

Due to the momentous effects of responsible sourcing in a firm’s performance, the sourcing process is tedious. Purchasing managers face a difficult decision in determining how to select responsible suppliers so they can maintain their firm’s competitive advantage in the contemporary business environment. Firms need to satisfy not only the views of society but also to consider the opinions of all stakeholders to stay profitable and to create a supportive business strategy. Existing studies fail to provide a model for socially responsible supplier selection, particularly when various actors are involved. To fill this gap, this study proposes a model to select the best supplier based on their corporate social responsibility (CSR) practices and to identify the key actors (Shareholder, Governments, Customers, and Community) whose perspective is vital. We utilize a hybrid multi criteria decision making (MCDM) approach; however, the supplier selection portion relies on a pure decision making process with consideration of multiple criteria. This study proposes the model in three phases as follows. In the first phase, the collected common CSR practices are scrutinized through fuzzy Delphi with the assistance of experts’ opinions. In second phase, the interdependencies, interrelationship and weights of CSR practices are analysed through DEMATEL-ANP (DANP). The final phase proceeds with the selection of the best alternative (supplier) based on CSR practices through PROMETHEE. The proposed model is validated with the case illustration and the results are discussed with feedback from the case purchasing managers. Finally, the study ends by identifying managerial implications and its limitations, and we provide some useful future insights which will increase the effective integration of CSR in supply chains and especially in the supplier selection process.

8. Conclusion:

When CSR practices are successfully integrated in a company, many potential benefits occur, including competitive advantages, new market opportunities, a more positive company image, a privileged reputation, higher profit returns, and other good results (Garay and Font, 2012). CSR is important in many business operations, including supplier selection. Companies want to select their suppliers based on their socially responsible ratings. In order to assist in this effort, this study proposes a research framework model to evaluate the best supplier with multi-stakeholder perspectives based on CSR practices collected from various reliable sources. The hybrid MCDM methodologies used to solve this problem are Fuzzy Delphi, DANP, and PROMETHEE; furthermore, the model is validated with an actual case industry located in southern India. The study reveals that among six dimensions, environment issues command more weight from multi-stakeholders. Based on the criteria weights, Supplier 2 ranks above the other suppliers. Hence, this study recommends Supplier 2 as the best supplier for the case industry due to their intention to integrate CSR practices into their business operations. Despite this study’s helpful managerial advice and its strengths, a few limitations exist, which are classified into methodological limitations and scientific/managerial limitations. PROMETHEE is the methodological limitation, because according to studies by Gervasio and da Silva, 2012; Turcksin et al., 2011; and Kabir and Suma, 2014, PROMETHEE does not provide guidelines to estimate weights. Instead, it just assumes approximate criteria weight. The scientific/managerial limitation is that this study involves a single case industry only. A broader study may offer different results because what constitutes CSR is still a term being debated. Hence, the priorities of CSR may differ from region to region and application to application. Statistical evidence is needed to overcome regional generalizations. By considering these two limitations, future studies may extend research by examining more CSR practices with different research tools and by utilizing statistical tools such as structural equation modelling (SEM). This study provides a good contribution to the literature and sheds light on future enhancements in the field of CSR in supply chain management.