Microfoundations of dynamic capabilities: a systematic review and a multilevel framework

• Published in: Management decision Vol. 61; no. 6; pp. 1717 - 1753
• Main Authors: Chen, Yantai, Liu, Lu, Li, Weiwen, Xie, Zaiyang, Wei, Chenchen
• Format: Journal Article
• Language: English
• Published: London Emerald Publishing Limited 22.05.2023; Emerald Group Publishing Limited
• Subjects: Bibliometrics; Competition; Operations management; Social responsibility; Systematic review; Dynamic capabilities; Multilevel framework; Structured literature review; Cognition; Behavior; Microfoundations
• ISSN: 0025-1747; 1758-6070
• DOI: 10.1108/MD-05-2022-0615

PurposeMicrofoundations have become an effective approach for capability scholars to explore the heterogeneity of organizational results. Since the early pioneering work of scholars such as Felin and Foss, the microfoundations of strategic organization had not been extensively studied until 2010. The theoretical and empirical literature associated with the microfoundations of dynamic capabilities has developed rapidly. However, the diversity and fragmentation of micro-elements lead to a lack of a relatively consistent understanding of microfoundations, the study purpose is to aggregate the associated scattered terminology into a cohesive discussion.Design/methodology/approachA systematic literature review was conducted on research papers published between 2000 and 2022 using a hybrid methodology that included bibliometric and content analysis.FindingsThe authors suggest that this line of research can be divided into three stages. The study further develop a framework delineating the main components and mechanism involved in the microfoundations of dynamic capabilities, which in turn help us distill research gaps and opportunities for future work.Originality/valueThe authors construct a framework that can serve as a coherent research platform for further knowledge development. In the framework, the authors highlight that the research of group constructs, culture and leadership, data-driven topics are valuable for our understanding of the microfoundations of dynamics capabilities.