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Bridging the digital divide in the pharmaceutical industry: A future research agenda

Author

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  • Miozza, Mario
  • Lombardo, Salvatore M.
  • Galvagno, Marco
  • Magni, Luca

Abstract

Digital transformation is reshaping the pharmaceutical industry, but adoption remains fragmented due to regulatory constraints, organizational inertia, and unequal digital capabilities. This study investigates how the digital divide influences the implementation of new technologies across the pharmaceutical value chain. We combined a systematic literature review of 70 peer-reviewed studies with topic modeling (Latent Dirichlet Allocation) to provide an integrated overview of challenges, opportunities, and future research directions. Our analysis identified 16 thematic clusters consolidated into five strategic domains: Advancing Drug Discovery, Reinventing Organizational Strategies, Optimizing Manufacturing, Strengthening Supply Chains, and Developing Patient-Centric Models. The results show that digital transformation is not only a technical matter but also a systemic process shaped by regulation, governance, and socio-economic conditions. While artificial intelligence, blockchain, digital twins, and other technologies hold potential to accelerate innovation and improve patient outcomes, their benefits are distributed unevenly. Large multinational firms, advanced laboratories, and well-resourced health systems are better positioned to adopt these tools, while small and medium enterprises, emerging economies, and marginalized patient groups often face barriers in infrastructure, expertise, and compliance. From these findings, we developed a structured research agenda to bridge the pharmaceutical digital divide. Priorities include clarifying regulatory and institutional frameworks for digital technologies, identifying the organizational capabilities and governance models required for systemic adoption, and addressing equity implications to ensure inclusive access across geographies, firms, and patient populations. This study contributes methodologically by integrating systematic review and topic modeling, conceptually by framing digital transformation through a value-chain and digital divide perspective, and practically by offering a roadmap for managers, policymakers, and scholars.

Suggested Citation

  • Miozza, Mario & Lombardo, Salvatore M. & Galvagno, Marco & Magni, Luca, 2026. "Bridging the digital divide in the pharmaceutical industry: A future research agenda," Social Science & Medicine, Elsevier, vol. 389(C).
    • Handle: RePEc:eee:socmed:v:389:y:2026:i:c:s0277953625011633
    DOI: 10.1016/j.socscimed.2025.118832
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    1. Lian, Jiunn-Woei & Yen, David C. & Wang, Yen-Ting, 2014. "An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital," International Journal of Information Management, Elsevier, vol. 34(1), pages 28-36.
    2. Ruishan Liu & Shemra Rizzo & Samuel Whipple & Navdeep Pal & Arturo Lopez Pineda & Michael Lu & Brandon Arnieri & Ying Lu & William Capra & Ryan Copping & James Zou, 2021. "Evaluating eligibility criteria of oncology trials using real-world data and AI," Nature, Nature, vol. 592(7855), pages 629-633, April.
    3. Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Kumar Detwal, Pankaj & Soni, Gunjan & Kumar Jakhar, Suresh & Kumar Srivastava, Deepak & Madaan, Jitender & Kayikci, Yasanur, 2023. "Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 158(C).
    5. Angie Nguyen & Samir Lamouri & Robert Pellerin & Simon Tamayo & Béranger Lekens, 2022. "Data analytics in pharmaceutical supply chains: state of the art, opportunities, and challenges," International Journal of Production Research, Taylor & Francis Journals, vol. 60(22), pages 6888-6907, November.
    6. Wu, Qiang & He, Qile, 2020. "DIY Laboratories and business innovation ecosystems: The case of pharmaceutical industry," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    7. DiMasi, Joseph A. & Grabowski, Henry G. & Hansen, Ronald W., 2016. "Innovation in the pharmaceutical industry: New estimates of R&D costs," Journal of Health Economics, Elsevier, vol. 47(C), pages 20-33.
    8. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    9. Junaid, Muhammad & Zhang, Qingyu & Cao, Mei & Luqman, Adeel, 2023. "Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    10. Miozza, Mario & Brunetta, Federica & Appio, Francesco Paolo, 2024. "Digital transformation of the Pharmaceutical Industry: A future research agenda for management studies," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    11. Mohammad Saleem AL-SHURA & Abdelrahim M. ZABADI & Mohamad ABUGHAZALEH & Marwa A. ALHADI, 2018. "Critical Success Factors for Adopting Cloud Computing in the Pharmaceutical Manufacturing Companies," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 3(2), pages 123-137, December.
    12. Kordestani, Arash & Oghazi, Pejvak & Mostaghel, Rana, 2023. "Smart contract diffusion in the pharmaceutical blockchain: the battle of counterfeit drugs," Journal of Business Research, Elsevier, vol. 158(C).
    13. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    14. Darius N. Lakdawalla, 2018. "Economics of the Pharmaceutical Industry," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 397-449, June.
    15. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    16. Kulkov, Ignat, 2021. "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, Elsevier, vol. 66(C).
    17. Garza Ramos, Alejandro & Daim, Tugrul & Gaats, Lukas & Hutmacher, Dietmar W. & Hackenberger, David, 2022. "Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    18. Kavyan Zoughalian & Jims Marchang & Bogdan Ghita, 2022. "A Blockchain Secured Pharmaceutical Distribution System to Fight Counterfeiting," IJERPH, MDPI, vol. 19(7), pages 1-32, March.
    19. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    20. Cho, Yung-Jan & Fu, Pei-Wen & Wu, Chi-Cheng, 2017. "Popular Research Topics in Marketing Journals, 1995–2014," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 52-72.
    21. Mariflor Vega Carrasco & Ioanna Manolopoulou & Jason O'Sullivan & Rosie Prior & Mirco Musolesi, 2022. "Posterior summaries of grocery retail topic models: Evaluation, interpretability and credibility," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 562-588, June.
    22. Kolbe, Richard H & Burnett, Melissa S, 1991. "Content-Analysis Research: An Examination of Applications with Directives for Improving Research Reliability and Objectivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 243-250, September.
    23. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    24. repec:plo:pone00:0174708 is not listed on IDEAS
    25. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    26. Robert J. David & Shin‐Kap Han, 2004. "A systematic assessment of the empirical support for transaction cost economics," Strategic Management Journal, Wiley Blackwell, vol. 25(1), pages 39-58, January.
    27. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    28. Saha, Esha & Rathore, Pradeep & Parida, Ratri & Rana, Nripendra P., 2022. "The interplay of emerging technologies in pharmaceutical supply chain performance: An empirical investigation for the rise of Pharma 4.0," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    29. Achilladelis, Basil & Antonakis, Nicholas, 2001. "The dynamics of technological innovation: the case of the pharmaceutical industry," Research Policy, Elsevier, vol. 30(4), pages 535-588, April.
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