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Article

Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain

1
Faculty of Economics, University of Porto, Dr. Roberto Frias, 4200-464 Porto, Portugal
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Department of Marketing and Supply Chain Management, University of Tennessee, Knoxville, TN 37996, USA
3
Maruti 3PL Private Ltd., Navdurga Society, Faizal Navapur, Bardoli, Gujarat 394601, India
*
Author to whom correspondence should be addressed.
Academic Editors: Fabio Carlucci and Giuseppe Ioppolo
Sustainability 2017, 9(4), 608; https://doi.org/10.3390/su9040608
Received: 14 December 2016 / Revised: 14 March 2017 / Accepted: 10 April 2017 / Published: 14 April 2017
(This article belongs to the Special Issue Big Data and Predictive Analytics for Sustainability)
The use of big data analytics for forecasting business trends is gaining momentum among professionals. At the same time, supply chain risk management is important for practitioners to consider because it outlines ways through which firms can allay internal and external threats. Predicting and addressing the risks that social issues cause in the supply chain is of paramount importance to the sustainable enterprise. The aim of this research is to explore the application of big data analytics in mitigating supply chain social risk and to demonstrate how such mitigation can help in achieving environmental, economic, and social sustainability. The method involves an expert panel and survey identifying and validating social issues in the supply chain. A case study was used to illustrate the application of big data analytics in identifying and mitigating social issues in the supply chain. Our results show that companies can predict various social problems including workforce safety, fuel consumptions monitoring, workforce health, security, physical condition of vehicles, unethical behavior, theft, speeding and traffic violations through big data analytics, thereby demonstrating how information management actions can mitigate social risks. This paper contributes to the literature by integrating big data analytics with sustainability to explain how to mitigate supply chain risk. View Full-Text
Keywords: big data; sustainability; supply chain social sustainability; social risk; social issues; case study big data; sustainability; supply chain social sustainability; social risk; social issues; case study
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MDPI and ACS Style

Mani, V.; Delgado, C.; Hazen, B.T.; Patel, P. Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain. Sustainability 2017, 9, 608. https://doi.org/10.3390/su9040608

AMA Style

Mani V, Delgado C, Hazen BT, Patel P. Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain. Sustainability. 2017; 9(4):608. https://doi.org/10.3390/su9040608

Chicago/Turabian Style

Mani, Venkatesh, Catarina Delgado, Benjamin T. Hazen, and Purvishkumar Patel. 2017. "Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain" Sustainability 9, no. 4: 608. https://doi.org/10.3390/su9040608

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