Assessing the degree of development of dynamic capabilities theory: A systematic literature review

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Dynamic capabilities theory has become one of the most widely accepted theories of business strategy. The study aims to determine the degree of development of the dynamic capabilities theory. A meta-analysis was carried out through a bibliometric analysis and a systematic literature review. Documents published in Scopus and Web of Science between 1997–2023 were analyzed using VOSviewer software. 49 documents met the analysis requirements, with a maximum of 11 published in 2022. Keyword co-occurrences were also analyzed. 222 were found, and 26 were selected with at least two co-occurrences. The documents were grouped into six clusters by these keywords and analyzed to determine the degree of development of the theory. The results have shown popularity among researchers in different science branches, indicating a high degree of development. However, the study noted a lack of theoretical consistency in elaborating constructs for measuring variables in empirical investigations. As a result, this leads to a lack of consistency and generalization of the results. Hence, the theory is not considered fully developed in terms of lack of internal coherence, falsifiability, and predictability. Tools for the empirical measurement of variables need to be theoretically and empirically validated to ensure their application in different contexts. The confrontation of results from validated measurement tools in diverse environments will contribute to developing dynamic capabilities theory.

Acknowledgment
We appreciate the support granted through the Postdoctoral Stays program by CONAHCYT.

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    • Figure 1. Procedure of investigation
    • Figure 2. Trend on publications about DCs by year
    • Figure 3. Leading authors on research publications about DCs and networks created
    • Figure 4. Countries with at least two documents on DCs
    • Figure 5. Co-occurrence of resulting keywords on publications about DCs and clusters created
    • Table 1. Most cited research publications about DCs and year of publication
    • Table 2. Journals with 2 or more publications about DCs and impact factor
    • Table 3. Clusters with representative documents on DCs
    • Table A1. Supplementary materials. List of papers for cluster analysis
    • Conceptualization
      Arcadio Gonzalez-Samaniego, Marco A. Valenzo-Jimenez
    • Formal Analysis
      Arcadio Gonzalez-Samaniego
    • Investigation
      Arcadio Gonzalez-Samaniego
    • Methodology
      Arcadio Gonzalez-Samaniego, Marco A. Valenzo-Jimenez
    • Writing – original draft
      Arcadio Gonzalez-Samaniego, Marco A. Valenzo-Jimenez
    • Funding acquisition
      Marco A. Valenzo-Jimenez
    • Project administration
      Marco A. Valenzo-Jimenez
    • Data curation
      Jaime Apolinar Martinez-Arroyo
    • Resources
      Jaime Apolinar Martinez-Arroyo
    • Supervision
      Jaime Apolinar Martinez-Arroyo
    • Writing – review & editing
      Jaime Apolinar Martinez-Arroyo, Salvador Antelmo Casanova Valencia
    • Software
      Salvador Antelmo Casanova Valencia
    • Validation
      Salvador Antelmo Casanova Valencia
    • Visualization
      Salvador Antelmo Casanova Valencia