Prashant Jain
Dr. Dhanraj P. Tambuskar
Abstract
The objective of this research is to suggest a roadmap for implementation of Big Data Analytics (BDA) in sustainable supply chain management (SSCM) in Indian manufacturing sector. Through an extensive literature survey the factors that are crucial to the application of BDA technologies to SSCM are identified. A comprehensive PESTEL framework is used for classification and analysis of these factors. The acronym PESTEL covers a variety of factors namely political, economic, social, technological, environmental and legal. This paper provides managers with an implementation framework comprising of four stages viz. identification of PESTEL factors, ascertainment of the critical success factors, selection of appropriate BDA technologies, and application of BDA technologies for SSCM. The implications of the study have been discussed at length. Theoretical implications highlight the importance of data generation, BDA infrastructure, data rationalization, BDA expertise and the BDA management capabilities. The managerial implications underline the competence and the dynamic capabilities that are required on the part of managers for organization of resources and effective selection and integration of BDA technologies. The factors identified, as a future work, may be evaluated and validated through suitable techniques. Also, the research may be extended to small and medium scale industries, which is currently its limitation
Keywords- Big data analytics (BDA); Sustainable supply chain management (SSCM); Sustainable manufacturing; PESTEL analysis