IDEAS home Printed from https://ideas.repec.org/a/tuk/qipqip/v18y2014i11.html
   My bibliography  Save this article

The Tipping Points of Technology Development

Author

Listed:
  • Tauno Kekäle
  • Petri Helo

Abstract

The tipping point, the decisive point in time in the competition between old and new, is an interesting phenomenon in physics of today. This aspect in technology acceptance is connected to many business decisions such as technology investments, product releases, resource allocation, sales forecasts and, ultimately, affects the profitability and even survival of a company. The tipping point itself is based on many stochastic and dynamic variables, and the process may at least partly be described as path-dependent. This paper analyses the tipping point from three aspects: (1) product performance, (2) features of the market and infrastructure (including related technologies and human network externalities), and (3) actions of the incumbents (including customer lock-in, systems lock-in, and sustaining innovation). The paper is based on the Bass s-curve idea and the technology trajectory concept proposed by Dosi. Three illustrative cases are presented to make the point of the multiple factors affecting technology acceptance and, thus, the tipping point. The paper also suggests outlines for further research in field of computer simulation.

Suggested Citation

  • Tauno Kekäle & Petri Helo, 2014. "The Tipping Points of Technology Development," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 18(1).
  • Handle: RePEc:tuk:qipqip:v:18:y:2014:i:1:1
    as

    Download full text from publisher

    File URL: http://www.qip-journal.eu/index.php/QIP/article/view/211/276
    Download Restriction: no

    References listed on IDEAS

    as
    1. Majeske, Karl D. & Lynch-Caris, Terri & Herrin, Gary, 1997. "Evaluating product and process design changes with warranty data," International Journal of Production Economics, Elsevier, vol. 50(2-3), pages 79-89, June.
    2. Bersimis, Sotiris & Psarakis, Stelios & Panaretos, John, 2006. "Multivariate Statistical Process Control Charts: An Overview," MPRA Paper 6399, University Library of Munich, Germany.
    3. Tari, Juan Jose & Sabater, Vicente, 2004. "Quality tools and techniques: Are they necessary for quality management?," International Journal of Production Economics, Elsevier, vol. 92(3), pages 267-280, December.
    4. Gruner, Kjell E. & Homburg, Christian, 2000. "Does Customer Interaction Enhance New Product Success?," Journal of Business Research, Elsevier, vol. 49(1), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    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:tuk:qipqip:v:18:y:2014:i:1:1. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Matus Horvath). General contact details of provider: .

    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 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 profile, as there may be some citations waiting for confirmation.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.