Title: Big data analytics in Indian healthcare supply chain: a review and bibliometric research

Authors: Twinkle Singh; Jeanne Poulose; Vinod Sharma

Addresses: School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, India ' School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, India ' Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India

Abstract: Supply cost comprises the second largest expenditure in healthcare organisations, after manpower cost. Therefore, one of the most pressing challenges faced by the healthcare industry is to improve supply chain practices thereby reducing costs while not compromising on delivery quality healthcare. Against this backdrop, past literature has reflected that technology plays a vital role in opening up extensive opportunities to improve supply chain practices. This study aims to analyse previous research related to supply chain practices in the Indian healthcare industry and highlights the benefits of adopting technology for effective organisational performance. A bibliometric analysis and literature review was conducted to find out the best supply chain practices over the last decade (2011-2021). The review identified big data analytics (BDA) as the technology tool that is garnering considerable attention in supply chain management and is seen offering a wide range of benefits for the healthcare supply chain, from forecasting demand to improving patient care.

Keywords: supply chain management; SCM; big data analytics; BDA; Indian healthcare sector; bibliometric analysis.

DOI: 10.1504/IJLSM.2026.151738

International Journal of Logistics Systems and Management, 2026 Vol.53 No.2, pp.243 - 264

Received: 04 Jan 2023
Accepted: 04 Jun 2023
Published online: 18 Feb 2026 *

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