Artikel
Dynamic capabilities, expert and entrepreneurial learning
This article focuses on how managers sense and seize opportunities for learning and developing dynamic capabilities in organisations. An approach of building process theory from cases traces learning events in the technological innovationapproaches of three securities custodians facing an increasingly dynamic market. The article extends and elaborates the dynamic capability learning framework (Lecler, 2013) which proposes that managers recognise learning opportunitiesthrough two types of learning, expert and entrepreneurial, with variants for technological and organisational problem solving. The concept of entrepreneurial learning is further elaborated to help explain differences in the learning patternsfound. Distinctive characteristics of the two types of learning are proposed pertaining to opportunity recognition and realisation, and the problem solving strategy. The framework helps to analyse data in terms of four learning patterns: expert honing and aligning, and entrepreneurial shaping and configuring. Further, entrepreneurial learning is suggested to facilitate dynamic capability development in a highly dynamic environment.
- Language
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Englisch
- Bibliographic citation
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Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 45 ; Year: 2014 ; Issue: 2 ; Pages: 65-81 ; Cape Town: African Online Scientific Information Systems (AOSIS)
- Classification
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Management
- Event
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Geistige Schöpfung
- (who)
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Lecler, C. J.
Kinghorn, J.
- Event
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Veröffentlichung
- (who)
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African Online Scientific Information Systems (AOSIS)
- (where)
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Cape Town
- (when)
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2014
- DOI
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doi:10.4102/sajbm.v45i2.125
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Lecler, C. J.
- Kinghorn, J.
- African Online Scientific Information Systems (AOSIS)
Time of origin
- 2014