An empirical assessment of technological advancements on supply chain management performance: a mixed-methods sem approach using smartpls

Ganesh Kumar R (), Dinesh Kumar S, C. Anirvinna and Rapaka David Goodwin
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Ganesh Kumar R: Sri Sai Ram Engineering College
Dinesh Kumar S: Sri Sai Ram Engineering College
C. Anirvinna: TAPMI School of Business, Manipal University Jaipur
Rapaka David Goodwin: Veeravalli Vidya Sundar PG College

Operations Management Research, 2025, vol. 18, issue 4, No 3, 1142-1166

Abstract: Abstract Supply chain management (SCM) is being transformed by the rapid proliferation of digital technologies that open up pathways to greater resilience and agility. This study examines the impact of new technologies, such as cloud computing, blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics, on the performance of SCM in India. Using a mixed-methods research design, this study fills an important literature gap, as most previous studies have examined these technologies separately. The study used measurement, structural modeling, and importance and performance analysis (IPMA) to identify the primary elements that can enhance SCM outcomes. The results suggest that digital technology adoption (DTA), data integration (DI) and predictive analytics (PA) are critical factors for SCM performance in improving supply chain flexibility and reliability. PLS-Predict was applied to evaluate the predictive performance out-of-sample and the model proved to be robust. This work contributes to the growing knowledge base since it provides empirical evidence on how digital tools optimize SCM best and thus delivers companies' strategic insights on balancing proximity to demand centers and supply chain resilience.

Keywords: Technological Advancements; Supply Chain Management (SCM); Structural Equation Modeling (SEM); India (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s12063-025-00556-x

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