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The pharmaceutical technology landscape: A new form of technology roadmapping

Author

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  • Tierney, Robert
  • Hermina, Wahid
  • Walsh, Steven

Abstract

Practitioners are finding it increasingly difficult to develop effective roadmapping efforts for many new products and innovations. We argue that this difficulty stems from the fundamental differences between many of today's innovations and earlier ones. Many current innovations are: using technology differently; more heavily constrained; forcing new business models and increasingly being shaped by drivers. Current roadmapping techniques do not translate well to this new reality. Roadmapping efforts for these innovations are increasingly failing to meet their primary goal of including technology into the strategic process of firms, regions or industries.

Suggested Citation

  • Tierney, Robert & Hermina, Wahid & Walsh, Steven, 2013. "The pharmaceutical technology landscape: A new form of technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 194-211.
  • Handle: RePEc:eee:tefoso:v:80:y:2013:i:2:p:194-211
    DOI: 10.1016/j.techfore.2012.05.002
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    Citations

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    Cited by:

    1. Necoechea-Mondragón, Hugo & Pineda-Domínguez, Daniel & Pérez-Reveles, Luz & Soto-Flores, Rocío, 2017. "Critical factors for participation in global innovation networks. Empirical evidence from the Mexican nanotechnology sector," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 293-312.
    2. Chammassian, Raffi Gabriel & Sabatier, Valerie, 2020. "The role of costs in business model design for early-stage technology startups," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    3. 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).
    4. Mahto, Raj V. & Belousova, Olga & Ahluwalia, Saurabh, 2020. "Abundance – A new window on how disruptive innovation occurs," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    5. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    6. Islam, Nazrul & Marinakis, Yorgos & Majadillas, Mary Anne & Fink, Matthias & Walsh, Steven T., 2020. "Here there be dragons, a pre-roadmap construct for IoT service infrastructure," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    7. Roper, Stephen & Tapinos, Efstathios, 2016. "Taking risks in the face of uncertainty: An exploratory analysis of green innovation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 357-363.
    8. Zhang, Yi & Robinson, Douglas K.R. & Porter, Alan L. & Zhu, Donghua & Zhang, Guangquan & Lu, Jie, 2016. "Technology roadmapping for competitive technical intelligence," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 175-186.
    9. Cho, Yonghee & Yoon, Seong-Pil & Kim, Karp-Soo, 2016. "An industrial technology roadmap for supporting public R&D planning," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 1-12.
    10. Angelo Kenneth S. Romasanta & Peter Sijde & Jacqueline Muijlwijk-Koezen, 2020. "Innovation in pharmaceutical R&D: mapping the research landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1801-1832, December.
    11. Harms, Rainer, 2015. "Self-regulated learning, team learning and project performance in entrepreneurship education: Learning in a lean startup environment," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 21-28.
    12. Kokshagina, Olga & Gillier, Thomas & Cogez, Patrick & Le Masson, Pascal & Weil, Benoit, 2017. "Using innovation contests to promote the development of generic technologies," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 152-164.
    13. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    14. Belousova, Olga A. & Groen, Aard J. & Ouendag, Aniek M., 2020. "Opportunities and barriers for innovation and entrepreneurship in orphan drug development," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Papachristos, George & Adamides, Emmanuel, 2016. "A retroductive systems-based methodology for socio-technical transitions research," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 1-14.
    16. de Alcantara, Douglas Pedro & Martens, Mauro Luiz, 2019. "Technology Roadmapping (TRM): a systematic review of the literature focusing on models," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 127-138.
    17. João J. M. Ferreira & Fernando A. F. Ferreira & Cristina I. M. A. S. Fernandes & Marjan S. Jalali & Mário L. Raposo & Carla S. Marques, 2016. "What do we [not] know about technology entrepreneurship research?," International Entrepreneurship and Management Journal, Springer, vol. 12(3), pages 713-733, September.

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