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Twenty years of technology and strategic roadmapping research: A school of thought perspective

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  • Park, Hyunkyu
  • Phaal, Rob
  • Ho, Jae-Yun
  • O'Sullivan, Eoin

Abstract

Two decades ago the thirtieth-anniversary special issue of Technological Forecasting and Social Change correctly anticipated the widespread adoption of technology and strategic roadmapping at firm, sectoral and national levels. In this article, we explore the evolution of roadmapping studies since that time. Drawing on a mixed-methods approach (i.e. topic modelling, genealogical analysis, content analysis and interviews), we reveal the development of seven distinctive ‘schools of thought’: the Cambridge practical school, the Seoul school, the Portland and Bangkok schools, the Cambridge phenomenological school, the Beijing school and the Moscow school. We show that the schools differ in terms of (a) the research orientation, whether it be solution- or theory-oriented; (b) the research methods and data sources being used; and (c) the nature of contributions that each school seeks to achieve. The different areas of emphasis associated with each school are not competing but complementary, and together they develop the eclectic body of knowledge on roadmapping.

Suggested Citation

  • Park, Hyunkyu & Phaal, Rob & Ho, Jae-Yun & O'Sullivan, Eoin, 2020. "Twenty years of technology and strategic roadmapping research: A school of thought perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:tefoso:v:154:y:2020:i:c:s0040162519304901
    DOI: 10.1016/j.techfore.2020.119965
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    3. 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).
    4. 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).
    5. Chakraborty, Swagata & Nijssen, Edwin J. & Valkenburg, Rianne, 2022. "A systematic review of industry-level applications of technology roadmapping: Evaluation and design propositions for roadmapping practitioners," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Garza Ramos, Alejandro & Daim, Tugrul & Gaats, Lukas & Hutmacher, Dietmar W. & Hackenberger, David, 2022. "Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Christopher Münch & Heiko A. von der Gracht, 2021. "A bibliometric review of scientific theory in futures and foresight: A commentary on Fergnani and Chermack 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(3-4), September.
    8. 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).
    9. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    10. Kayabay, Kerem & Gökalp, Mert Onuralp & Gökalp, Ebru & Erhan Eren, P. & Koçyiğit, Altan, 2022. "Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    12. Gozuacik, Necip & Sakar, C. Okan & Ozcan, Sercan, 2023. "Technological forecasting based on estimation of word embedding matrix using LSTM networks," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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