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Identifying core topics in technology and innovation management studies: a topic model approach

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  • Hakyeon Lee

    (Seoul National University of Science and Technology)

  • Pilsung Kang

    (Korea University)

Abstract

The study of technology and innovation management (TIM) has continued to evolve and expand with great speed over the last three decades. This research aims to identify core topics in TIM studies and explore their dynamic changes. The conventional approach, based on discrete assignments by subjective judgment with predetermined categories, cannot effectively capture latent topics from large volumes of scholarly data. Hence, this study adopts the topic model approach, which automatically discovers topics that pervade a large and unstructured collection of documents, to uncover research topics in TIM research. The 50 topics of TIM research are identified through the Latent Dirichlet Allocation model from 11,693 articles published from 1997 to 2016 in 11 TIM journals, and top 10 most popular topics in TIM research are briefly reviewed. We then explore topic trends by examining the changes in topics rankings over different time periods and identifying hot and cold topics of TIM research over the last two decades. For each of the 11 TIM journals, the areas of subspecialty and the effects of editor changes on topic portfolios are also investigated. The findings of this study are expected to provide implications for researchers, journal editors, and policy makers in the field of TIM.

Suggested Citation

  • Hakyeon Lee & Pilsung Kang, 2018. "Identifying core topics in technology and innovation management studies: a topic model approach," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1291-1317, October.
  • Handle: RePEc:kap:jtecht:v:43:y:2018:i:5:d:10.1007_s10961-017-9561-4
    DOI: 10.1007/s10961-017-9561-4
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    Cited by:

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    4. Seungsu Paek & Namhyoung Kim, 2021. "Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    5. Wieslaw Urban & Elzbieta Krawczyk-Dembicka, 2020. "An In-depth Investigation of Technology Management Process in the Metal Processing Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 115-136.
    6. Imran Ali & Devika Kannan, 2022. "Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review," Annals of Operations Research, Springer, vol. 315(1), pages 29-55, August.
    7. Callan Windsor, 2021. "The Intellectual Ideas Inside Central Banks: What'S Changed (Or Not) Since The Crisis?," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 539-565, April.
    8. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2022. "Exploring the knowledge base of innovation research: Towards an emerging innovation model," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    9. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    10. Martina K Linnenluecke & Mauricio Marrone & Abhay K Singh, 2020. "Conducting systematic literature reviews and bibliometric analyses," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 175-194, May.
    11. Bao, Jie & Chen, Yixuan & Yin, Jianan & Chen, Xinyuan & Zhu, Dan, 2023. "Exploring topics and trends in Chinese ATC incident reports using a domain-knowledge driven topic model," Journal of Air Transport Management, Elsevier, vol. 108(C).
    12. 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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    More about this item

    Keywords

    Technology and innovation management; Research topic; Topic model; Latent Dirichlet Allocation (LDA);
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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