Data-Driven Sustainability: Revolutionizing Hospital Supply Chains through Big Data Analytics

Twinkle Singh (), Jeanne Poulose () and Vinod Sharma ()
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Twinkle Singh: Christ University
Jeanne Poulose: Christ University
Vinod Sharma: Symbiosis Center for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University)

SN Operations Research Forum, 2025, vol. 6, issue 1, 1-32

Abstract: Abstract Purpose Despite the growing interest in Big Data Analytics Capabilities (BDAC), its significant impact on hospital operations and supply chains in shaping hospital performance remains elusive. The study investigates the pivotal role of BDAC within the framework of hospital supply chains across India. Drawing upon the Resource-Based View, Dynamic Capability View, and Organisation Information Processing Theory, this research explores the intricate relationships among the organization's capability factors, BDAC, and hospital performance indicators. Design/Methodology/Approach A conceptual model was developed and empirically tested using survey data collected from 446 hospital managers. The analysis was carried out by using partial least square-structural equation modeling (PLS-SEM). Findings The results of this study support the significant mediating impact of BDAC on Operational Flexibility, Supply Chain Sustainability, and Organisation Revenue leading to the enhancement of organizational performance. The findings highlight the strategic importance of cultivating BDAC to improve operational efficiency and overall effectiveness in the context of Indian multispeciality hospitals. Originality/Value This research contributes to the existing knowledge by highlighting the relationship between organization capability factors, BDAC, and performance indicators in the different settings of Indian multispeciality hospitals.

Keywords: Big data analytics capabilities; Sustainable hospital supply chain; Operational flexibility; Infrastructure flexibility; Organizational Performance (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s43069-025-00425-0

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