Abstract
In Chapter II, the author provides the theoretical background of this dissertation. After defining the concept and core terms of dynamic capabilities as well as the inherent capability rigidity paradox, the author reviews the discussion on dynamic capabilities regarding past and current attempts to solve this challenge. This is done via multiple steps beginning with a review of different capability hierarchies as an early attempt to circumvent the rigidity paradox. Continuing with learning mechanisms and routine concepts, the study finds that macro-level conceptualizations of dynamic capabilities still have not solved the capability rigidity paradox. The author then turns to a rigorous literature review on the current turn toward micro-foundational concepts of dynamic capabilities focusing on managers and entrepreneurs to escape the rigidity paradox, which still does not solve the problem. Finally, the author turns to the relatively new meso-level constructs of dynamic capabilities and amends them with a strategy as process and practice perspective to provide a framework for the empirical analysis.
“Any physical theory is always provisional, in the sense that it is only a hypothesis: you can never prove it. No matter how many times the results of experiments agree with some theory, you can never be sure that the next time the result will not contradict the theory.”
– Stephen Hawking in A Brief History of Time, (1988: 11).
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Notes
- 1.
Analyzing the Social Science Citation Index of the ISI Web of Science Database from 1994 until 15th May 2018 with the search terms “dynamic capabilit*” aimed at TS = title, abstract, and keywords yields a set of 3,280 articles from various disciplines. Refining the categories to “business” and “management” yields a set of 2,748 articles. Apart from the categories of “business” and “management”, which are obviously the main scholarly fields, we find that engineering, information science, computer science, psychology and even geography regularly refer to the concept of dynamic capabilities.
- 2.
Accessed for data retrieval on 15th May 2018.
- 3.
Obviously this does not catch all relevant articles, as papers from the years between 2016 and 2018 remain under-represented. When the overall list of 2,750 articles is analyzed year by year one could observe that even highly cited papers usually do not get cited very often in their first two to three years after publication. However, as this is an assessment of the current situation and as the identification of future trending articles is hardly possible, the procedure used here yields reliable results regarding the knowledge core of the dynamic capability research field.
- 4.
All papers were carefully read and evaluated regarding their purpose, their design (conceptual or empirical), their connection to dynamic capabilities, their concept of the agent (organizational, managerial, or ambivalent), as well as their methodological stance (macro-level, micro-level or multilevel). The full list with the analysis can be provided upon request. In order to keep the number of pages manageable the list is not included in this document.
- 5.
Take for example Andy Bechtolsheim who is regularly praised to be a serial entrepreneur. If we are looking closely at the companies he (co-)founded, we will see that they are all located in very similar domains and closely connected to the expertise gained in the foundation of SUN Microsystems.
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Andresen, F. (2021). Theoretical Framework. In: Exploring Meso-Level Dynamic Capabilities to Address the Capability Rigidity Paradox. Forschungs-/Entwicklungs-/Innovations-Management. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-32006-5_2
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