IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v168y2021ics0040162521001931.html
   My bibliography  Save this article

Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling

Author

Listed:
  • Yuskevich, Ilya
  • Smirnova, Ksenia
  • Vingerhoeds, Rob
  • Golkar, Alessandro

Abstract

This paper proposes a novel model-based approach to technology planning and roadmapping, consisting of two complementary steps: technology forecasting and game-theoretic planning. The inherent uncertainty of target technology performances, timelines and risks impact the roadmapping process. Reducing this uncertainty is a major challenge and allows elaborating different options and scenarios. A formal methodology is proposed for quantitative forecasting in a multi-dimensional space (different performance metrics and time) based on past technology development trend information. The method adopts concepts and approaches from econometrics and is formulated as a convex optimization problem with different constraints on the frontier's shape. It provides useful product line assessment benchmarks and helps to set reasonable goals for future technology developments.

Suggested Citation

  • Yuskevich, Ilya & Smirnova, Ksenia & Vingerhoeds, Rob & Golkar, Alessandro, 2021. "Model-based approaches for technology planning and roadmapping: Technology forecasting and game-theoretic modeling," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  • Handle: RePEc:eee:tefoso:v:168:y:2021:i:c:s0040162521001931
    DOI: 10.1016/j.techfore.2021.120761
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521001931
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2021.120761?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter Davison & Bruce Cameron & Edward F. Crawley, 2015. "Technology Portfolio Planning by Weighted Graph Analysis of System Architectures," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 45-58, January.
    2. Mohit Goswami & Saurabh Pratap & S.K. Kumar, 2016. "An integrated Bayesian-Game theoretic approach for product portfolio planning of a multi-attributed product in a duopolistic market," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6997-7013, December.
    3. Martin, Hilary & Daim, Tugrul U., 2012. "Technology roadmap development process (TRDP) for the service sector: A conceptual framework," Technology in Society, Elsevier, vol. 34(1), pages 94-105.
    4. Rudolf Smaling & Olivier de Weck, 2007. "Assessing risks and opportunities of technology infusion in system design," Systems Engineering, John Wiley & Sons, vol. 10(1), pages 1-25, March.
    5. Christensen, Clayton M., 1993. "The Rigid Disk Drive Industry: A History of Commercial and Technological Turbulence," Business History Review, Cambridge University Press, vol. 67(4), pages 531-588, January.
    6. Bloem da Silveira Junior, Luiz A. & Vasconcellos, Eduardo & Vasconcellos Guedes, Liliana & Guedes, Luis Fernando A. & Costa, Renato Machado, 2018. "Technology roadmapping: A methodological proposition to refine Delphi results," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 194-206.
    7. Bildosola, Iñaki & Río-Bélver, Rosa María & Garechana, Gaizka & Cilleruelo, Ernesto, 2017. "TeknoRoadmap, an approach for depicting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 25-37.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Yuskevich, Ilya & Hein, Andreas Makoto & Amokrane-Ferka, Kahina & Doufene, Abdelkrim & Jankovic, Marija, 2021. "A metamodel of an informational structure for model-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Elizabeth J. Altman & Frank Nagle & Michael L. Tushman, 2013. "Innovating Without Information Constraints: Organizations, Communities, and Innovation When Information Costs Approach Zero," Harvard Business School Working Papers 14-043, Harvard Business School, revised Sep 2014.
    3. Villalonga, Belen, 2004. "Intangible resources, Tobin's q, and sustainability of performance differences," Journal of Economic Behavior & Organization, Elsevier, vol. 54(2), pages 205-230, June.
    4. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    5. Kornelakis, Andreas & Petrakaki, Dimitra, 2024. "Technological innovation, industry platforms or financialization? A comparative institutional perspective on Nokia, Apple, and Samsung," LSE Research Online Documents on Economics 124386, London School of Economics and Political Science, LSE Library.
    6. Rajshree Agarwal & Barry L. Bayus, 2002. "The Market Evolution and Sales Takeoff of Product Innovations," Management Science, INFORMS, vol. 48(8), pages 1024-1041, August.
    7. Morgan Dwyer & Bruce Cameron & Zoe Szajnfarber, 2015. "A Framework for Studying Cost Growth on Complex Acquisition Programs," Systems Engineering, John Wiley & Sons, vol. 18(6), pages 568-583, November.
    8. Michael S. Dahl & Christian Ø.R. Pedersen & Bent Dalum, 2003. "Entry by Spinoff in a High-tech Cluster," DRUID Working Papers 03-11, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    9. Steven Klepper & Sally Sleeper, 2005. "Entry by Spinoffs," Management Science, INFORMS, vol. 51(8), pages 1291-1306, August.
    10. Guido Buenstorf, 2009. "Opportunity spin-offs and necessity spin-offs," International Journal of Entrepreneurial Venturing, Inderscience Enterprises Ltd, vol. 1(1), pages 22-40.
    11. Yang, Chia-Hsuan & Nugent, Rebecca & Fuchs, Erica R.H., 2016. "Gains from others’ losses: Technology trajectories and the global division of firms," Research Policy, Elsevier, vol. 45(3), pages 724-745.
    12. Michel A. Habib & Ulrich Hege & Pierre Mella-Barral, 2013. "Entrepreneurial Spawning and Firm Characteristics," Management Science, INFORMS, vol. 59(12), pages 2790-2804, December.
    13. Fontana, Roberto & Zirulia, Lorenzo, 2023. "How far from the tree does the (good) apple fall? Spinout creation and the survival of high-tech firms," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 26-49.
    14. Akartuna, Eray Arda & Johnson, Shane D. & Thornton, Amy, 2022. "Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    15. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    16. Rahul Kapoor & Ron Adner, 2012. "What Firms Make vs. What They Know: How Firms' Production and Knowledge Boundaries Affect Competitive Advantage in the Face of Technological Change," Organization Science, INFORMS, vol. 23(5), pages 1227-1248, October.
    17. Clayton M. Christensen & Fernando F. Suárez & James M. Utterback, 1998. "Strategies for Survival in Fast-Changing Industries," Management Science, INFORMS, vol. 44(12-Part-2), pages 207-220, December.
    18. Seyed Mahmoud Zanjirchi & Mina Rezaeian Abrishami & Negar Jalilian, 2019. "Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1289-1309, June.
    19. Kosa Golić & Vesna Kosorić & Slavica Stamatovic Vuckovic & Kosara Kujundzic, 2023. "Strategies for Realization of Socially Sustainable Residential Buildings: Experts’ Perspectives," Sustainability, MDPI, vol. 15(9), pages 1-31, April.
    20. Cristobal Cheyre & Steven Klepper & Francisco Veloso, 2015. "Spinoffs and the Mobility of U.S. Merchant Semiconductor Inventors," Management Science, INFORMS, vol. 61(3), pages 487-506, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:168:y:2021:i:c:s0040162521001931. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.