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Scenario-driven roadmapping for technology foresight

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  • Hussain, M.
  • Tapinos, E.
  • Knight, L.

Abstract

This paper presents a novel method for using scenarios for technology foresight. Technology foresight is a well-established discipline, practised with popular foresight methods such as roadmapping and scenario planning. Applying each foresight method reveals limitations in practice, some of which can be addressed by combining methods. Following calls for combining foresight methods, and past attempts to integrate scenario planning and technology roadmapping, we propose a novel method for their combination. The resulting method — ‘scenario-driven roadmapping’ differs in: i) using scenario planning first to identify plausible images of the general environment and then using the scenarios for technology roadmapping; and ii) taking advantage of ‘flex points’ – critical developments which would signal transitions along particular pathways – to create a ‘radar’ to support effective monitoring of the environment over time. This new combined method takes advantage of the strengths of both methods, while addressing their limitations. A case study vignette centred on the work of a special interest group for Radio Frequency IDentification (RFID) technology adoption in the English National Health Service is presented to illustrate and reflect upon the use in practice of the ‘scenario-driven roadmapping’ method. Participants were able to develop a detailed technology roadmap with clear ‘flex points’ helping to connect present circumstances with pathways towards future scenarios. We report on how participants engaged with the scenario-driven method and outcomes achieved were recorded.

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  • Hussain, M. & Tapinos, E. & Knight, L., 2017. "Scenario-driven roadmapping for technology foresight," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 160-177.
  • Handle: RePEc:eee:tefoso:v:124:y:2017:i:c:p:160-177
    DOI: 10.1016/j.techfore.2017.05.005
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    Cited by:

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    3. Chi-Yo Huang & Jih-Jeng Huang & You-Ning Chang & Yen-Chu Lin, 2021. "A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions," Mathematics, MDPI, vol. 9(2), pages 1-26, January.
    4. Amber Geurts & Ralph Gutknecht & Philine Warnke & Arjen Goetheer & Elna Schirrmeister & Babette Bakker & Svetlana Meissner, 2022. "New perspectives for data‐supported foresight: The hybrid AI‐expert approach," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
    5. Ariane Voglhuber-Slavinsky & Hartmut Derler & Björn Moller & Ewa Dönitz & Enno Bahrs & Simon Berner, 2021. "Measures to Increase Local Food Supply in the Context of European Framework Scenarios for the Agri-Food Sector," Sustainability, MDPI, vol. 13(18), pages 1-22, September.
    6. Gomes, Leonardo Augusto de Vasconcelos & Fleury, André Leme & Oliveira, Maicon Gouvêa de & Facin, Ana Lucia Figueiredo, 2021. "Ecosystem policy roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Landoni, Matteo & ogilvie, dt, 2019. "Convergence of innovation policies in the European aerospace industry (1960–2000)," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 174-184.
    8. Marinković, Milan & Al-Tabbaa, Omar & Khan, Zaheer & Wu, Jie, 2022. "Corporate foresight: A systematic literature review and future research trajectories," Journal of Business Research, Elsevier, vol. 144(C), pages 289-311.
    9. David J. Grüning, 2022. "Synthesis of human and artificial intelligence: Review of “How to stay smart in a smart world: Why human intelligence still beats algorithms” by Gerd Gigerenzer," Futures & Foresight Science, John Wiley & Sons, vol. 4(3-4), September.
    10. Aoun, Joelle & Quaglietta, Egidio & Goverde, Rob M.P., 2023. "Roadmap development for the deployment of virtual coupling in railway signalling," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Francisco Flores-Aguero & Martín Vivanco-Vargas & Juan José Méndez-Palacios & Carla Patricia Bermudez-Peña, 2021. "La prospectiva tecnológica desde la perspectiva de las capacidades centrales en centros de investigación," Revista CEA, Instituto Tecnológico Metropolitano, vol. 7(13), pages 1-19, January.
    12. Bouhalleb, Arafet & Tapinos, Efstathios, 2023. "The impact of scenario planning on entrepreneurial orientation," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    13. Keishiro Hara & Iori Miura & Masanori Suzuki & Toshihiro Tanaka, 2023. "Designing research strategy and technology innovation for sustainability by adopting “imaginary future generations”—A case study using metallurgy," Futures & Foresight Science, John Wiley & Sons, vol. 5(3-4), September.
    14. Harwood, Stephen & Eaves, Sally, 2020. "Conceptualising technology, its development and future: The six genres of technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    15. Schweitzer, Nicola & Hofmann, Rupert & Meinheit, Andreas, 2019. "Strategic customer foresight: From research to strategic decision-making using the example of highly automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 49-65.
    16. Frith, D. & Tapinos, E., 2020. "Scenario planning: Is the ‘box’ black or clear? It depends," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    17. Marek Jemala, 2019. "Problematic Roadmapping for Companies in Less Developed Regions of Slovakia," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-26, December.
    18. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
    19. Yuya Mitake & Kenshiro Hiramitsu & Yusuke Tsutsui & Mar’atus Sholihah & Yoshiki Shimomura, 2020. "A Strategic Planning Method to Guide Product—Service System Development and Implementation," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    20. Andreani, Stefano & Kalchschmidt, Matteo & Pinto, Roberto & Sayegh, Allen, 2019. "Reframing technologically enhanced urban scenarios: A design research model towards human centered smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 15-25.
    21. Meadows, Maureen & O'Brien, Frances A., 2020. "The use of scenarios in developing strategy: An analysis of conversation and video data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).

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