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Employing Stn Anavist To Forecast Converging Industries

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  • CLIVE-STEVEN CURRAN

    (University of Münster, Institute of Business Administration at the Department of Chemistry and Pharmacy, Leonardo-Campus 1, 48149 Münster, Germany)

  • JENS LEKER

    (University of Münster, Institute of Business Administration at the Department of Chemistry and Pharmacy, Leonardo-Campus 1, 48149 Münster, Germany)

Abstract

Converging industries are characterized by the blurring of boundaries between technologies, markets and industry sectors. As such they can enable firms to access new markets or threaten them with an array of new competitors and a lack of knowledge. This makes an early identification of convergence trends highly important. In the present paper we focus on the application of a frequency-based analysis and visualization software (STN AnaVist) for the forecasting of converging industries. Scrutinizing 3,836 patent and scientific publication references on phytosterols in the areas of nutraceuticals and cosmeceuticals, we employ research landscape, co-authorship and International Patent Classification (IPC) co-classification analyses. The results demonstrate partial convergence between the pharmaceutical, the chemical, the nutrition and the cosmetics industries and the suitability of the employed approach. According to this study, scientific as well as technology convergence have taken place in this segment, with a time-lag of roughly 25 years.

Suggested Citation

  • Clive-Steven Curran & Jens Leker, 2009. "Employing Stn Anavist To Forecast Converging Industries," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 637-664.
    • Handle: RePEc:wsi:ijimxx:v:13:y:2009:i:04:n:s1363919609002455
    DOI: 10.1142/S1363919609002455
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    Cited by:

    1. Eva Seidlmayer & Tetyana Melnychuk & Lukas Galke & Lisa Kühnel & Klaus Tochtermann & Carsten Schultz & Konrad U. Förstner, 2024. "Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5141-5179, September.
    2. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    3. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
    4. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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