A dynamic capabilities view of improvement capability Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1108/jhom-11-2018-0342
Purpose Organisations within healthcare increasingly operate in rapidly changing environments and present wide variation in performance. It can be argued that this variation is influenced by the capability of an organisation to improve: its improvement capability. However, there is little theoretical research on improvement capability. The purpose of this paper is to set out the current diverse body of research on improvement capability and develop a theoretically informed conceptual framework. Design/methodology/approach This paper conceptualises improvement capability as a dynamic capability. This suggests that improvement capability is comprised of organisational routines that are bundled together, and adapt and react to organisational circumstances. Existing research conceptualises these bundles as three elements (microfoundations): sensing, seizing and reconfiguring. This conceptualisation is used to explore how improvement capability can be understood, by inductively categorising eight dimensions of improvement capability to develop a theoretically informed conceptual framework. Findings This paper shows that the three microfoundations which make up a dynamic capability are present in the identified improvement capability dimensions. This theoretically based conceptual framework provides a rich explanation of how improvement capability can be configured. Originality/value Identifying the component parts of improvement capability helps to explain why some organisations are less successful in improvement than others. This theoretically informed framework can support managers and policy makers to identify improvement capability dimensions in need of development. Further empirical research, particularly in non-market settings, such as publicly funded healthcare is required to enhance understanding of improvement capability and its configuration.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1108/jhom-11-2018-0342
- https://www.emerald.com/insight/content/doi/10.1108/JHOM-11-2018-0342/full/pdf?title=a-dynamic-capabilities-view-of-improvement-capability
- OA Status
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- Cited By
- 47
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2985977979
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2985977979Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1108/jhom-11-2018-0342Digital Object Identifier
- Title
-
A dynamic capabilities view of improvement capabilityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-11-07Full publication date if available
- Authors
-
Joy Furnival, Ruth Boaden, Kieran WalsheList of authors in order
- Landing page
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https://doi.org/10.1108/jhom-11-2018-0342Publisher landing page
- PDF URL
-
https://www.emerald.com/insight/content/doi/10.1108/JHOM-11-2018-0342/full/pdf?title=a-dynamic-capabilities-view-of-improvement-capabilityDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://www.emerald.com/insight/content/doi/10.1108/JHOM-11-2018-0342/full/pdf?title=a-dynamic-capabilities-view-of-improvement-capabilityDirect OA link when available
- Concepts
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Microfoundations, Dynamic capabilities, Conceptual framework, Process management, Performance improvement, Originality, Computer science, Capability approach, Empirical research, Knowledge management, Management science, Business, Operations management, Engineering, Sociology, Qualitative research, Epistemology, Law, Economics, Philosophy, Social science, Political science, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
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47Total citation count in OpenAlex
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2025: 11, 2024: 13, 2023: 5, 2022: 3, 2021: 11Per-year citation counts (last 5 years)
- References (count)
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75Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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