Surviving or thriving : The role of learning for the resilient performance of small firms

Battisti, Martina and Beynon, Malcolm and Pickernell, David and Deakins, David (2019) Surviving or thriving : The role of learning for the resilient performance of small firms. Journal of Business Research, 100. pp. 38-50. ISSN 0148-2963

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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

Item Type:
Journal Article
Journal or Publication Title:
Journal of Business Research
Additional Information:
This is the author’s version of a work that was accepted for publication in Journal of Business Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Business Research, 100, 2019 DOI: 10.1016/j.jbusres.2019.03.006
Uncontrolled Keywords:
?? smesfuzzy clusteringncarbslearningglobal financial crisiscognitionmarketing ??
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Deposited On:
14 Mar 2019 08:55
Last Modified:
15 Dec 2023 01:25