Abstract
Building on a longitudinal dataset of 245 small firms covering the period of the Global Financial Crisis, this study uses, in combination with fuzzy clustering, the N-State Classification and Ranking Belief Simplex (NCaRBS) technique. This technique, able to deal with ambiguous outcome variables, small datasets, incomplete data and relationships that have the potential to be non-linear, is used to explore the relationship between learning and the resilient performance of small firms. Our findings provide a fine-grained picture of the complex relationships between strategic, cognitive and behavioural learning mechanisms and three resilient performance clusters – sustained performance, stability, and survival – which has implications for theory, as well as practice. By examining learning at the level of the individual owner-manager and also the organisation, we contribute to a better understanding of the role of specific learning mechanisms, a role that is still not well understood.
Original language | English |
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Pages (from-to) | 38-50 |
Number of pages | 23 |
Journal | Journal of Business Research |
Volume | 100 |
Early online date | 15 Mar 2019 |
DOIs | |
Publication status | Early online - 15 Mar 2019 |
Keywords
- SMEs
- fuzzy clustering
- NCaRBS
- learning
- global financial crisis
- cognition