IDEAS home Printed from https://ideas.repec.org/a/wsi/ijimxx/v18y2014i03ns1363919614400040.html
   My bibliography  Save this article

Text Mining For Technology Roadmapping — The Strategic Value Of Information

Author

Listed:
  • VICTORIA KAYSER

    (Fraunhofer Institute for Systems and Innovation Research, Breslauer Strasse 48, 76131 Karlsruhe, Germany;
    Technische Universität Berlin, Chair of Innovation Economics, Müller-Breslau-Strasse 15 (VWS2), 10623 Berlin, Germany)

  • KERSTIN GOLUCHOWICZ

    (Technische Universität Berlin, Chair of Innovation Economics, Müller-Breslau-Strasse 15 (VWS2), 10623 Berlin, Germany)

  • ANTJE BIERWISCH

    (Fraunhofer Institute for Systems and Innovation Research, Breslauer Strasse 48, 76131 Karlsruhe, Germany)

Abstract

Technology roadmapping is a well-established method used in strategy development to map alternative future paths, while text mining offers untapped potentials concerning early detection and environmental scanning. In this paper, the roadmapping process is split into different steps in order to analyse which text mining methods could add further value within each. This leads to a two-layered process model, which includes text mining techniques to systematically integrate external information in ongoing roadmapping processes. Textual data can be used for a structured analysis and exploration of thematic fields and an objective, quantitative summary of actual developments. To demonstrate some of the benefits, the field of "cloud computing" is used to illustrate the procedure. As this article will show, the results provided by this approach extend the existing methodology, integrates an external view and complements expert opinion.

Suggested Citation

  • Victoria Kayser & Kerstin Goluchowicz & Antje Bierwisch, 2014. "Text Mining For Technology Roadmapping — The Strategic Value Of Information," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-23.
  • Handle: RePEc:wsi:ijimxx:v:18:y:2014:i:03:n:s1363919614400040
    DOI: 10.1142/S1363919614400040
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1363919614400040
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S1363919614400040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijimxx:v:18:y:2014:i:03:n:s1363919614400040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijim/ijim.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.