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A metamodel of an informational structure for model-based technology roadmapping

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  • Yuskevich, Ilya
  • Hein, Andreas Makoto
  • Amokrane-Ferka, Kahina
  • Doufene, Abdelkrim
  • Jankovic, Marija

Abstract

Recent contributions in the field of technology roadmapping often aim to apply various numerical models and tools to facilitate the roadmapping process and enrich its outcomes. This trend resulted in the emergence of so-called model-based technology roadmapping. We consider it as the future development of the traditional document-based paradigm. One of the general approaches to support the model-based roadmapping is to develop a roadmap's metamodel that would define it independently from the application context and link it to the existing roadmapping literature. In this paper, we attempt to create such a metamodel by generalizing and formalizing existing document-based roadmaps. We validate our metamodel via reproducing three very different roadmaps from the literature, not included in the set of roadmaps from which the metamodel was created, using the novel formal approach. The fact that these roadmaps were reproduced using the proposed metamodel indicates its applicability to many classes of real roadmaps. The results of this work seem beneficial for architects of the software tools for roadmapping and for the regular participants of roadmapping sessions.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005369
    DOI: 10.1016/j.techfore.2021.121103
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    References listed on IDEAS

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    1. Margherita Pagani, 2009. "Roadmapping 3G mobile TV : Strategic thinking and scenario planning through repeated cross-impact handling," Post-Print hal-02313094, HAL.
    2. Kerr, Clive & Phaal, Robert, 2020. "Technology roadmapping: Industrial roots, forgotten history and unknown origins," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    3. 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.
    4. 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.
    5. Lee, Jung Hoon & Phaal, Robert & Lee, Sang-Ho, 2013. "An integrated service-device-technology roadmap for smart city development," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 286-306.
    6. Cheng, M.N. & Wong, Jane W.K. & Cheung, C.F. & Leung, K.H., 2016. "A scenario-based roadmapping method for strategic planning and forecasting: A case study in a testing, inspection and certification company," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 44-62.
    7. Toro-Jarrín, Miguel Angel & Ponce-Jaramillo, Idalia Estefania & Güemes-Castorena, David, 2016. "Methodology for the of building process integration of Business Model Canvas and Technological Roadmap," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 213-225.
    8. Noh, Heeyong & Kim, Kyuwoong & Song, Young-Keun & Lee, Sungjoo, 2021. "Opportunity-driven technology roadmapping: The case of 5G mobile services," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. 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.
    10. Scalice, Régis Kovacs & da Silva, José Oliveira & Ostetto, Jaqueline Nazario & de Paula, Gabriele Aguiar, 2015. "Modular deployment using TRM and function analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 1-11.
    11. 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).
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