Innovation Digital Transformation in Pharmaceutical Technopreneurship: A Systematic Literature Review

Andini Nur Fatimah; Ahmad Bagus Mindiarto; Adi Setiadi

doi:10.59890/ijnhs.v4i3.301

Authors

Andini Nur Fatimah Bina Bangsa University
Ahmad Bagus Mindiarto Bina Bangsa University
Adi Setiadi Bina Bangsa University

DOI:

https://doi.org/10.59890/ijnhs.v4i3.301

Keywords:

Pharmaceutical Technopreneurship, Digital Transformation, Pharmaceutical Innovation, Prisma 2020, Digital Health Technologies, Entrepreneurial Ecosystem

Abstract

The convergence of digital transformation and entrepreneurship within the pharmaceutical sector collectively termed pharmaceutical technopreneurship represents an emerging and strategically critical domain. Rapid advances in Artificial Intelligence (AI), Internet of Things (IoT), blockchain, telemedicine, digital pharmacy, and Big Data are fundamentally reconfiguring drug discovery, supply chain management, clinical trials, and patient care delivery. Despite growing scholarly interest, a unified synthesis of the innovation and digital transformation landscape in pharmaceutical technopreneurship remains absent. Objective. This systematic literature review (SLR) critically synthesizes peer-reviewed evidence on innovation and digital transformation in pharmaceutical technopreneurship, identifying major themes, research trends, theoretical underpinnings, and gaps to inform both academic inquiry and practice. Methods. Following PRISMA 2020 guidelines, a systematic search was conducted across six major databases: Scopus, Web of Science, PubMed, ScienceDirect, Springer, and Emerald. Studies published between 2015 and 2025 in English were included. After deduplication and rigorous screening, 62 studies were retained for thematic analysis. Results. Five major themes emerged: (1) AI and machine learning applications in pharmaceutical innovation; (2) blockchain and IoT for supply chain integrity; (3) digital health technologies and telemedicine adoption; (4) Big Data analytics for personalized medicine; and (5) digital entrepreneurial ecosystems. Theoretical analysis reveals that Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), Dynamic Capability Theory, and Entrepreneurial Ecosystem frameworks provide complementary, yet insufficiently integrated, lenses. A conceptual framework the Digital Pharmaceutical Technopreneurship Model (DPTM) is proposed. Conclusion. Pharmaceutical technopreneurship is transitioning from traditional R&D paradigms toward digitally mediated, ecosystem-driven innovation. Significant gaps persist in regulatory integration, ethical AI governance, equitable access, and cross-national comparisons, offering a rich agenda for future research

References

Ahmad, R. W., Salah, K., Jayaraman, R., Yaqoob, I., Ellahham, S., & Omar, M. (2021). The role of blockchain technology in telehealth and telemedicine. International Journal of Medical Informatics, 148, 104399. https://doi.org/10.1016/j.ijmedinf.2020.104399

Ali, T., Ahmed, S., & Aslam, M. (2023). Artificial intelligence for antimicrobial resistance prediction: Challenges and opportunities towards practical implementation. Antibiotics, 12(3), 523. https://doi.org/10.3390/antibiotics12030523

Audretsch, D. B., Cunningham, J. A., Kuratko, D. F., Lehmann, E. E., & Menter, M. (2019). Entrepreneurial ecosystems: Economic, technological, and societal impacts. Journal of Technology Transfer, 44(2), 313–325. https://doi.org/10.1007/s10961-018-9690-4

Barreto, I. (2010). Dynamic capabilities: A review of past research and an agenda for the future. Journal of Management, 36(1), 256–280. https://doi.org/10.1177/0149206309350776

Batko, K., & Ślęzak, A. (2022). The use of Big Data Analytics in healthcare. Journal of Big Data, 9, 3. https://doi.org/10.1186/s40537-021-00553-4

Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. In A. Bohr & K. Memarzadeh (Eds.), Artificial Intelligence in Healthcare (pp. 25–60). Academic Press. https://doi.org/10.1016/B978-0-12-818438-7.00002-2

Çakmak, P. I., & Demir, E. (2022). Blockchain implementation in pharmaceutical supply chains: A review and conceptual framework. International Journal of Production Research, 60(22), 6633–6651. https://doi.org/10.1080/00207543.2022.2125595

Catalini, C., & Gans, J. S. (2020). Some simple economics of the blockchain. Communications of the ACM, 63(7), 80–90. https://doi.org/10.1145/3359552

Chen, Y., Du, X., Wang, J., & Li, J. (2023). Internet of Things (IoT)–blockchain-enabled pharmaceutical supply chain resilience in the post-pandemic era. Frontiers of Engineering Management, 10(1), 82–95. https://doi.org/10.1007/s42524-022-0233-1

Dai, H. N., Zheng, Z., & Zhang, Y. (2019). Blockchain for Internet of Things: A survey. IEEE Internet of Things Journal, 6(5), 8076–8094. https://doi.org/10.1109/JIOT.2019.2920987

Dal Mas, F., Massaro, M., Rippa, P., & Secundo, G. (2023). The challenges of digital transformation in healthcare: An interdisciplinary literature review, framework, and future research agenda. Technovation, 123, 102716. https://doi.org/10.1016/j.technovation.2023.102716

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

de Oliveira Santini, F., Ladeira, W. J., Perin, M. G., & Sampaio, C. H. (2017). The brand equity effects on consumer loyalty: A meta-analysis based replication study and extension. Journal of Product and Brand Management, 26(6), 605–616.

Debnath, B., Shakur, M. S., Bari, A. B. M. M., Saha, J., Porna, W. A., Mishu, M. J., & Islam, K. M. (2023). Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies. PLOS ONE, 18(6), e0287149. https://doi.org/10.1371/journal.pone.0287149

DiMasi, J. A., Grabowski, H. G., & Hansen, R. W. (2016). Innovation in the pharmaceutical industry: New estimates of R&D costs. Journal of Health Economics, 47, 20–33. https://doi.org/10.1016/j.jhealeco.2016.01.012

European Medicines Agency. (2023). Reflection paper on the use of artificial intelligence (AI) in the medicinal product lifecycle. EMA. https://www.ema.europa.eu/en/documents/scientific-guideline/reflection-paper-use-artificial-intelligence-ai-medicinal-product-lifecycle_en.pdf

Fontan, A., & Saborido, R. (2023). Blockchain applications in the pharmaceutical supply chain: A systematic literature review. Journal of Theoretical and Applied Information Technology, 101, 957–959.

Garavand, A., Saber, M., Kafashi, S., Nadri, H., Omid, T., Marashi, S. A., & Abdi, E. (2022). Acceptance of telemedicine technology among physicians: A systematic review. International Journal of Medical Informatics, 161, 104735. https://doi.org/10.1016/j.ijmedinf.2022.104735

Grol, R., Grimshaw, J., & Eccles, M. (2021). Implementing evidence: Making healthcare more effective. Implementation Science, 16, 70. https://doi.org/10.1186/s13012-021-01136-6

Hassan, M., Awan, F. M., Naz, A., deAndrés-Galiana, E. J., Alvarez, O., Cernea, A., Fernández-Brillet, L., Fernández-Martínez, J. L., & Kloczkowski, A. (2022). Innovations in genomics and Big Data analytics for personalized medicine and health care: A review. International Journal of Molecular Sciences, 23(9), 4645. https://doi.org/10.3390/ijms23094645

Hausberg, J. P., Liere-Netheler, K., Packmohr, S., Pakura, S., & Vogelsang, K. (2019). Research streams on digital transformation from a holistic business perspective: A systematic literature review and citation network analysis. Journal of Business Economics, 89, 931–963. https://doi.org/10.1007/s11573-019-00956-z

Heikkinen, I., Eskola, S., Acha, V., Morrison, A., Walker, C., Weil, C., Bril, A., Wegner, M., Metcalfe, T., Chibout, S.-D., & Chlebus, M. (2023). Role of innovation in pharmaceutical regulation: A proposal for principles to evaluate EU general pharmaceutical legislation from the innovator perspective. Drug Discovery Today, 28(5), 103526. https://doi.org/10.1016/j.drudis.2023.103526

Hew, J. J., Tan, G. W. H., Lin, B., & Ooi, K. B. (2023). Artificial intelligence in fintech: A systematic review. International Journal of Bank Marketing, 41(6), 1583–1608. https://doi.org/10.1108/IJBM-09-2022-0413

Isenberg, D. (2010). How to start an entrepreneurial revolution. Harvard Business Review, 88(6), 40–50.

Johnson, K. B., Wei, W. Q., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., Zhao, J., & Snowdon, J. L. (2021). Precision medicine, AI, and the future of personalized health care. Clinical and Translational Science, 14(1), 86–93. https://doi.org/10.1111/cts.12884

Kim, E., Choi, S., & Kim, J. (2022). Digital health innovation: A look at current trends and future opportunities. Healthcare Informatics Research, 28(1), 1–9.

Klasnja, P., & Pratt, W. (2012). Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45(1), 184–198. https://doi.org/10.1016/j.jbi.2011.08.017

Leal, F., Chis, A. E., Parlavantzas, N., García-Gómez, J. M., Sáez, C., Müller, H., & González-Vélez, H. (2021). Smart pharmaceutical manufacturing: Ensuring end-to-end traceability and data integrity in medicine production. Big Data Research, 24, 100172. https://doi.org/10.1016/j.bdr.2020.100172

Li, Z., Liu, G., Liu, L., Lai, X., & Xu, G. (2023). IoT-based tracking and tracing platform for prepackaged food supply chain. Industrial Management & Data Systems, 117(9), 1906–1916.

Li, Z., Kuo, T.-H., Yeh, T.-L., & Chen, H.-L. (2022). The mediating roles of supply chain management and operational capability in relation to the effects of digital transformation on performance of pharmaceutical distribution enterprises. European Journal of Innovation Management, 25(1), 254–278. https://doi.org/10.1108/EJIM-05-2021-0265

Meister, S., Deiters, W., & Becker, S. (2016). Digital health and digital biomarkers—enabling value chains on health data. Current Directions in Biomedical Engineering, 2(1), 577–581.

Mendez, D., Gaulton, A., Bento, A. P., Chambers, J., De Veij, M., Félix, E., Magariños, M. P., Mosquera, J. F., Mutowo, P., Nowotka, M., Gordillo-Marañón, M., Hunter, F., Junco, L., Mugumbate, G., Rodriguez-Lopez, M., Atkinson, F., Bosc, N., Radoux, C. J., Segura-Cabrera, A., … Leach, A. R. (2019). ChEMBL: Towards direct deposition of bioassay data. Nucleic Acids Research, 47(D1), D930–D940. https://doi.org/10.1093/nar/gky1075

Miozza, M., Appio, F. P., Lorenzoni, G., & Schiavone, F. (2024). Digital transformation of the pharmaceutical industry: A future research agenda for management studies. Technological Forecasting & Social Change, 207, 123580. https://doi.org/10.1016/j.techfore.2024.123580

Nanda, S. K., Panda, S. K., & Dash, M. (2023). Medical supply chain integrated with blockchain and IoT to track the logistics of medical products. Multimedia Tools and Applications, 82(21), 32917–32939. https://doi.org/10.1007/s11042-023-14846-8

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Panda, S. K., & Satapathy, S. C. (2021). Drug traceability and transparency in medical supply chain using blockchain for easing the process and creating trust between stakeholders and consumers. Personal and Ubiquitous Computing. Advance online publication. https://doi.org/10.1007/s00779-021-01588-3

Puri, A., Bhatt, V., & Hota, J. (2024). Emerging Digital Innovations in Pharmaceutical Manufacturing Quality: A Systematised Review. Journal of Pharmaceutical Innovation. https://doi.org/10.1007/s12247-025-10272-5

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Santa Maria, J. P., Wang, Y., & Camargo, L. M. (2023). Perspective on the challenges and opportunities of accelerating drug discovery with artificial intelligence. Frontiers in Bioinformatics, 3, 1121591. https://doi.org/10.3389/fbinf.2023.1121591

Spigel, B. (2017). The relational organization of entrepreneurial ecosystems. Entrepreneurship Theory and Practice, 41(1), 49–72. https://doi.org/10.1111/etap.12167

Stam, E. (2015). Entrepreneurial ecosystems and regional policy: A sympathetic critique. European Planning Studies, 23(9), 1759–1769. https://doi.org/10.1080/09654313.2015.1061484

Tetteh, M. G., Jagtap, S., & Salonitis, K. (2023). Pharma 4.0: Revealing drivers of the digital transformation in the pharma sector. In Lecture Notes in Mechanical Engineering (pp. 594–603). Springer. https://doi.org/10.1007/978-3-031-28839-5_59

Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/smj.4250180703

Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7

Trends Analysis and Future Study of the Pharmaceutical Industry Field: A Scoping Review. (2024). PMC/NCBI. https://pmc.ncbi.nlm.nih.gov/articles/PMC11652559/

Uslu, A., Demirbag, M., & Eren, E. (2022). The dynamic capabilities perspective: A review and integration. European Management Review, 19(1), 49–66. https://doi.org/10.1111/emre.12476

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009

Yadav, S., Singh, A., Singhal, R., & Yadav, J. P. (2024). Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry. Intelligent Pharmacy, 2(3), 367–380. https://doi.org/10.1016/j.ipha.2024.02.009

Zayas-Cabán, T., Wald, J. S., & Schachter, A. A. (2021). Identification of digital health technologies with potential for health equity improvement and future research directions. NPJ Digital Medicine, 4, 118. https://doi.org/10.1038/s41746-021-00488-5

Zhang, Y., Ling, C., & Yang, M. (2022). Digital transformation strategy for pharmaceutical companies: A review. Digital Health, 8, 20552076221113804. https://doi.org/10.1177/20552076221113804

Zheng, Z., Xie, S., Dai, H.-N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375. https://doi.org/10.1504/IJWGS.2018.095647

Zhu, F., & Liu, Q. (2021). Competing with complementors: An empirical look at Amazon.com. Strategic Management Journal, 39(10), 2618–2642.