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

Author

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  • 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.
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    File URL: http://hdl.handle.net/10.1093/icc/dty054
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    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. Yang, Jinglan & Liu, Jianghuai & Yao, Zheng & Ma, Chaoqun, 2024. "Measuring digitalization capabilities using machine learning," Research in International Business and Finance, Elsevier, vol. 70(PB).
    4. 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

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