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Measuring supply chain resilience performance: role of data analytics, collaboration and flexibility

Rohit Kumar Singh

Measuring Business Excellence2025https://doi.org/10.1108/mbe-01-2024-0007article
AJG 1ABDC B
Weight
0.53

What the paper says

Purpose The purpose of this study is to examine the impact of data analytics, collaboration and flexibility on supply chain resilience (SCR) performance in the current dynamic global market. Design/methodology/approach This study uses a partial least squares modeling approach to analyze the relationships defined in the conceptual model. This data was organized through a survey questionnaire shared with the professionals working in different industries and belonging to supply chain functions. This survey was designed to measure data analytics capability (DAC), supply chain collaboration (SCC), supply chain flexibility (SCF), industry dynamism (INY) and SCRP, consisting of 29 items. This analysis included involved assessing measurement model for reliability and validity and a structural model for hypothesis testing. Findings This research empirically examines that collaboration and flexibility are significantly enhanced by advanced DACs, generating superior SCRP. Furthermore, the findings validate that cooperation and adaptability among the supply chain are necessary to reinforce this inherent resilience. The relation of SCC, SCF and the SCRP was significantly moderated with the INY. Originality/value This study complements the extant literature by providing empirical evidence of the tangible effects of data analytics on SCR. The study demonstrates the need for the alignment of supply chain strategies with the INY, giving some directions on how businesses can tailor their practices to specific market environments for enhanced resilience.

8 citations

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https://doi.org/https://doi.org/10.1108/mbe-01-2024-0007

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@article{rohit2025,
  title        = {{Measuring supply chain resilience performance: role of data analytics, collaboration and flexibility}},
  author       = {Rohit Kumar Singh},
  journal      = {Measuring Business Excellence},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/mbe-01-2024-0007},
}

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Measuring supply chain resilience performance: role of data analytics, collaboration and flexibility

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.