Developing a Sustainability Index for Implementing Big Data Analytics in the Logistics Sector

Anchal Gupta, Ashish Dwivedi and Sanjoy Kumar Paul

Sustainable Development, 2025, vol. 33, issue S1, 1271-1291

Abstract: This study identifies Critical Success Factors (CSFs) for implementing Big Data Analytics (BDA) for sustainable logistics practices in the context of an emerging economy. Through a combination of literature review and experts' opinions, the study identifies 18 CSFs essential for the effective application of BDA in the logistics sector. The identified CSFs are further classified into four major categories: Organizational Efforts (OE), Technological Capabilities (TC), Environmental Practices (EP), and Social Factors (SF) using TOE and stakeholders theory. With the help of experts, the identified CSFs are later ranked using the Best‐Worst Method (BWM). A real‐life Indian logistics company is studied to comprehend its existing operations, technological abilities, workforce competencies, and organizational environment. Further, the Graph Theory Matrix Approach (GTMA) is used to develop a sustainability index for analyzing the case study and expert remarks. The prioritization of CSFs under different categories can guide logistics companies in implementing BDA to achieve sustainability in logistics. The findings from the study reflect that OE and TC are the most important CSFs. The sustainability index value guides the evaluation of the current sustainability of the case company and assists in improving performance by benchmarking the best index values of the same industry. Logistics companies can learn from benchmarked companies and can adopt their strategies for achieving goals, simultaneously considering the ranking of identified CSFs for implementing BDA.

Date: 2025
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https://doi.org/10.1002/sd.70024

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Persistent link: https://EconPapers.repec.org/RePEc:wly:sustdv:v:33:y:2025:i:s1:p:1271-1291

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