IDEAS home Printed from https://ideas.repec.org/a/oup/indcch/v28y2019i5p1149-1172..html
   My bibliography  Save this article

Toward a dynamic capabilities scale: measuring organizational sensing, seizing, and transforming capacities

Author

Listed:
  • Barbara Kump
  • Alexander Engelmann
  • Alexander Kessler
  • Christina Schweiger

Abstract

To date, no standard scale exists for measuring dynamic capabilities. This limits the comparability of empirical findings and impairs data-based theory development. This article presents the development of a 14-item scale based on Teece’s (2007, Strategic Management Journal, 28, 1319–1350) well-established dynamic capability framework, assessing sensing, seizing, and transforming capacities. It describes the rigorous empirical scale development procedure comprising the steps of (i) item generation, (ii) scale purification (n = 269), and (iii) scale confirmation (n = 307). The scale shows high reliability and validity and is a solid predictor of business and innovation performance.

Suggested Citation

  • Barbara Kump & Alexander Engelmann & Alexander Kessler & Christina Schweiger, 2019. "Toward a dynamic capabilities scale: measuring organizational sensing, seizing, and transforming capacities," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(5), pages 1149-1172.
    • Handle: RePEc:oup:indcch:v:28:y:2019:i:5:p:1149-1172.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/icc/dty054
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Heider, Anne & Gerken, Maike & van Dinther, Nicolas & Hülsbeck, Marcel, 2021. "Business model innovation through dynamic capabilities in small and medium enterprises – Evidence from the German Mittelstand," Journal of Business Research, Elsevier, vol. 130(C), pages 635-645.
    2. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    3. Chen, Liping & Dai, Yishu & Ren, Fei & Dong, Xiaoying, 2023. "Data-driven digital capabilities enable servitization strategy——From service supporting the product to service supporting the client," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

    More about this item

    Keywords

    O31; C83;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    Statistics

    Access and download statistics

    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:oup:indcch:v:28:y:2019:i:5:p:1149-1172.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/icc .

    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.