Is the Implementation of Big Data Analytics in Sustainable Supply Chain Really a Challenge? The Context of the Indian Manufacturing Sector

Abstract

Purpose : In this age, characterized by the incessant generation of a huge amount of data in social and economic life due to the widespread use of digital devices, it has been well established that big data (BD) technologies can bring about a dramatic change in managerial decision-making. This work addresses the challenges of implementation of big data analytics (BDA) in sustainable supply chain management (SSCM). Design/methodology : The barriers to the implementation of BDA in SSCM are identified through an extensive literature survey as per PESTEL framework which covers political, economic, social, technological, environmental and legal barriers. These barriers are then finalized through experts’ opinion and analyzed using DEMATEL and AHP methods for their relative importance and cause-and-effect relationships. Findings : A total of 13 barriers are identified out of which the lack of policy support regarding IT, lack of data-driven decision-making culture, compliance with laws related to data security and privacy, inappropriate selection and adoption of BDA technologies, and cost of implementation of BDA are found to be the key barriers that have a causative effect on most of the other barriers. Research limitations : This work is focused on the Indian manufacturing supply chain (MSC). It may be diversified to other sectors and geographical areas. The addition of missed-out barriers, if any, might enrich the findings. Also, the fuzzy or grey versions of MCDM methods may be used for further fine-tuning of the results. Practical implications : The analysis presented in this work gives hierarchy of the barriers as per their strength and their cause-and-effect relationships. This information may be useful for decision makers to assess their organizational strengths and weaknesses in the context of the barriers and fix their priorities regarding investment in the BDA project. Social implications : The research establishes that the successful implementation of BDA through minimizing the effect of critical causative barriers would enhance the environmental performance of the supply chain (SC) which in turn would benefit society. Originality/value : This is one of the first studies of BDA in SSCM in the Indian manufacturing sector using PESTEL framework.

Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

“…Constraints (4) and ( 5) are demand constraints, indicating that relief items sent to each demand point cannot exceed the demand quantity. Constraint (6) guarantees that the backup warehouse will meet the required demand if the primary DC is destroyed. Constraint (7) calculates the shortage of relief items at demand points.…”

“…The lack of preparation and ineffective response strategies to these calamities result in severe harm and losses to nations and their assets that might be impossible to recover [1][2][3][4]. Supply chain management goals include meeting demand, minimizing expenses and investment-related risks through well-known tools, and increasing competitive power in today's world [5,6]. Disasters are unforeseen and abrupt events that exceed a community's competence to manage and cause significant disruptions in that community.…”