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The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory

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  • Saha, Esha
  • Rathore, Pradeep

Abstract

Increasing supply chain performance in an uncertain environment is a challenge for every industry, predominantly, healthcare sector. To address such issues, there is an urgent need for healthcare organizations like hospitals to build new capabilities. We suggest using organizational information processing theory (OIPT) as theoretical foundation for developing research model that investigates how healthcare 4.0 technologies (big data analytics, artificial intelligence and blockchain) enhance hospital supply chain processes and thereby the performance. According to our analysis of survey data from around 255 hospital managers in Indian hospitals, the three hospital supply chain processes, viz., operations, innovations, and risk management, and the supply chain performance are significantly impacted by these healthcare 4.0 technologies. Additionally, hospital supply chain operations and innovations partially mediate the association between healthcare 4.0 technologies and performance. We also found, the interaction between healthcare 4.0 technologies and hospital supply chain operations is moderated by type of healthcare organizations (private, and public hospitals). In addition to extending and validating the OIPT in context of digital hospital supply chains, these findings offer healthcare professionals empirical evidence to further maximize the benefits of healthcare 4.0 technologies for sustained hospital supply chain performance and integrate digital supply management into health system development.

Suggested Citation

  • Saha, Esha & Rathore, Pradeep, 2024. "The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000520
    DOI: 10.1016/j.techfore.2024.123256
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    Citations

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    Cited by:

    1. Farag M. Sallabi & Heba M. Khater & Asadullah Tariq & Mohammad Hayajneh & Khaled Shuaib & Ezedin S. Barka, 2025. "Smart Healthcare Network Management: A Comprehensive Review," Mathematics, MDPI, vol. 13(6), pages 1-37, March.
    2. Cao, Shoufeng & Miller, Thomas & Foth, Marcus & Powell, Warwick, 2025. "Integrating the REA model and multisig architecture for blockchain-based supply chain traceability: An organisational-technical approach," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    3. Sarfo, Christian & Sarpong, David & Owusu, Joseph & Igwe, Paul, 2026. "Performance measurement systems, organisational learning, and the sustainability–finance tension," Technological Forecasting and Social Change, Elsevier, vol. 223(C).
    4. Correia, Lucas Miguel Alencar de Morais & Frank, Alejandro G., 2025. "Structuring resources in healthcare digital transformation: a comparison across public, private and research hospitals," Technovation, Elsevier, vol. 147(C).
    5. Zhang, Nian & Zhu, Yue & Zheng, Shuo & Pan, Qiang, 2026. "Research on supply chain risk evaluation of online to offline e-commerce enterprises based on catastrophe progression method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 241(PB), pages 542-572.
    6. Govindarajan, Usharani Hareesh & Narang, Gagan & Singh, Dhiraj Kumar & Yadav, Vinay Surendra, 2025. "Blockchain technologies adoption in healthcare: Overcoming barriers amid the hype cycle to enhance patient care," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
    7. Niloofar Gilani Larimi & Adel Guitouni & Belaid Moa & Jens H. Weber & Andre Kushniruk, 2026. "Toward resilient and sustainable healthcare supply chains: a scoping review and framework," Annals of Operations Research, Springer, vol. 358(3), pages 1361-1423, March.

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