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An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management

Dhanraj P. Tambuskar (Department of Mechanical Engineering, Pillai College of Engineering, Navi Mumbai, India)
Prashant Jain (Department of Mechanical Engineering, Pillai College of Engineering, Navi Mumbai, India)
Vaibhav S. Narwane (Department of Mechanical, K J Somaiya College of Engineering, Mumbai, India)

Kybernetes

ISSN: 0368-492X

Article publication date: 27 February 2023

390

Abstract

Purpose

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).

Design/methodology/approach

The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).

Findings

A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.

Research limitations/implications

This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.

Practical implications

This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.

Social implications

The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.

Originality/value

This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

Keywords

Citation

Tambuskar, D.P., Jain, P. and Narwane, V.S. (2023), "An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-07-2022-1057

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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