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Heterogeneity in dynamic capability configurations: Equifinality and strategic performance

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  • Gelhard, Carsten
  • von Delft, Stephan
  • Gudergan, Siegfried P.

Abstract

The present article outlines an approach that combines finite mixture partial least squares analysis with fuzzy-set qualitative comparative analysis to assess the performance impact of dynamic capability configurations, conditional on certain levels of environmental dynamism. In consideration of business model sensing, strategic learning, and strategic reconfiguring, the findings imply that these three dynamic capability processes do not necessarily co-occur; different configurations of these processes can yield superior strategic performance, conditional on the levels of environmental dynamism.

Suggested Citation

  • Gelhard, Carsten & von Delft, Stephan & Gudergan, Siegfried P., 2016. "Heterogeneity in dynamic capability configurations: Equifinality and strategic performance," Journal of Business Research, Elsevier, vol. 69(11), pages 5272-5279.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5272-5279
    DOI: 10.1016/j.jbusres.2016.04.124
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    Cited by:

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    3. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    4. Ye, Yu & Yu, Qionglei & Zheng, Yongjun & Zheng, Yi, 2022. "Investigating the effect of social media application on firm capabilities and performance: The perspective of dynamic capability view," Journal of Business Research, Elsevier, vol. 139(C), pages 510-519.
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    6. Nicole F. Richter & Sven Hauff & Christian M. Ringle & Siegfried P. Gudergan, 2022. "The Use of Partial Least Squares Structural Equation Modeling and Complementary Methods in International Management Research," Management International Review, Springer, vol. 62(4), pages 449-470, August.
    7. Hendrik Wilhelm & Indre Maurer & Mark Ebers, 2022. "(When) Are Dynamic Capabilities Routine? A Mixed‐Methods Configurational Analysis," Journal of Management Studies, Wiley Blackwell, vol. 59(6), pages 1531-1562, September.
    8. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    9. Jing A. Zhang & Tao Bai & Ryan W. Tang & Fiona Edgar & Steven Grover & Guoquan Chen, 2022. "The Development of Individual Ambidexterity Across Institutional Environments: Symmetric and Configurational Analyses," Management International Review, Springer, vol. 62(4), pages 517-540, August.
    10. Ryan W. Tang & Siegfried P. Gudergan, 2018. "A Meta-analysis of the International Experience–Ownership Strategy Relationship: A Dynamic Capabilities View," Management International Review, Springer, vol. 58(4), pages 541-570, August.
    11. Altintas, Gulsun & Ambrosini, Véronique & Gudergan, Siegfried, 2022. "MNE dynamic capabilities in (un)related diversification," Journal of International Management, Elsevier, vol. 28(1).
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    14. von Delft, Stephan & Zhao, Yang, 2021. "Business models in process industries: Emerging trends and future research," Technovation, Elsevier, vol. 105(C).

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