Artículo

BIBLIOMETRIC ANALYSIS ON THE ORCHESTRATION OF DYNAMIC CAPABILITIES

Resumen

Purpose: The overall purpose of this article is to provide an overview of studies related to the orchestration of dynamic capabilities. The specific goal is to identify the main paths for a future research agenda. Methodology: A bibliometric study and content analysis on Dynamic Capability Orchestration, using software MaxQda, Bibliometrix, and VosViewer. The collected data resulted in a final sample of 54 articles, published from 2003 to 2021. Results: The results identified four clusters that unfold into 15 research lines. The clusters are: (i) Studies on Business Ecosystems; (ii) Dynamic Capabilities and their Orchestration via Microfoundations; (iii) Internationalization; and (iv) Technology and Digitalization. Conclusions: The analysis of the four clusters and the deepening of research paths showed a relationship between clusters, conceptual elements, and orchestration of capabilities, which are presented as a Dynamic Capability Orchestration Model, with an emphasis on the fields of strategy and innovation. Contributions: The contributions to the studies of dynamic capability orchestration regard the presentation of research clusters that cover the field of study and show routes for future research. These clusters are linked to Business Ecosystems, Orchestration via Micro-foundations, Internationalization, and Technology and Digitalization. Within these groups, there are research flows that articulate referential concepts for creating research lines and new scientific propositions and hypotheses.
Farias, Miriam Leite (57220120696); Alcoforado, Daniela Gomes (57219166657); Patriota, Verônyca Kezya Santos Sousa (57226809061); Palha, Armando Perez (57226815268); de Souza-Leão, André Luiz Maranhão (55337966500)
Qualitative research in marketing: Overview of the Brazilian scientific production from 2010 to 2019
2021
10.5585/REMARK.V20I3.16603
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112740906&doi=10.5585%2fREMARK.V20I3.16603&partnerID=40&md5=73a94c0f1af4b927cbabea86a79be751
All Open Access; Gold Open Access
Scopus
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