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Basis for a methodology for roadmaps generation for hypersonic and re-entry space transportation systems

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  • Cresto Aleina, Sara
  • Viola, Nicole
  • Fusaro, Roberta
  • Longo, José
  • Saccoccia, Giorgio

Abstract

This paper presents the very first steps of a methodology aimed at supporting the generation and update of technology roadmaps developed in close cooperation between Politecnico di Torino and the European Space Agency, here focusing on the map elements derivation and characterization in order to simplify the activities that will follow. Roadmapping activities are becoming crucial in several domains dealing with complex systems as well as an urgent demand of a rational process starting from the identification of Stakeholders and relative needs and leading the growth of technology readiness levels has been noticed. This research study seems to be suitable for application in the advanced transportation domain, especially in the aeronautical and aerospace sectors.

Suggested Citation

  • Cresto Aleina, Sara & Viola, Nicole & Fusaro, Roberta & Longo, José & Saccoccia, Giorgio, 2018. "Basis for a methodology for roadmaps generation for hypersonic and re-entry space transportation systems," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 208-225.
    • Handle: RePEc:eee:tefoso:v:128:y:2018:i:c:p:208-225
    DOI: 10.1016/j.techfore.2017.12.004
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    References listed on IDEAS

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    1. Carvalho, M.M. & Fleury, André & Lopes, Ana Paula, 2013. "An overview of the literature on technology roadmapping (TRM): Contributions and trends," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1418-1437.
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    Cited by:

    1. Nazarenko, Anastasia & Vishnevskiy, Konstantin & Meissner, Dirk & Daim, Tugrul, 2022. "Applying digital technologies in technology roadmapping to overcome individual biased assessments," Technovation, Elsevier, vol. 110(C).
    2. Kim, Junhan & Geum, Youngjung, 2021. "How to develop data-driven technology roadmaps:The integration of topic modeling and link prediction," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Isabela Neto Piccirillo & Daniel Capaldo Amaral & Maicon Gouvêa De Oliveira, 2022. "A Research Agenda for Collaborative Roadmapping Supported by Blockchain Technology," Sustainability, MDPI, vol. 14(20), pages 1-16, October.

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