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

Martina Battisti Orcid Logo, Malcolm Beynon, David Pickernell Orcid Logo, David Deakins

Journal of Business Research, Volume: 100, Pages: 38 - 50

Swansea University Author: David Pickernell Orcid Logo

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DOI (Published version): 10.1016/j.jbusres.2019.03.006

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, sm...

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Published in: Journal of Business Research
ISSN: 0148-2963
Published: Elsevier BV 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa61269
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first_indexed 2022-09-19T09:19:35Z
last_indexed 2023-01-13T19:21:56Z
id cronfa61269
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spelling 2022-10-12T15:40:41.7686822 v2 61269 2022-09-19 Surviving or thriving: The role of learning for the resilient performance of small firms 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 2022-09-19 BBU 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. Journal Article Journal of Business Research 100 38 50 Elsevier BV 0148-2963 SMEs; Fuzzy clustering; NCaRBS; Learning; Global financial crisis; Cognition 1 7 2019 2019-07-01 10.1016/j.jbusres.2019.03.006 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2022-10-12T15:40:41.7686822 2022-09-19T10:16:52.2031187 Faculty of Humanities and Social Sciences School of Management - Business Management Martina Battisti 0000-0002-3236-7654 1 Malcolm Beynon 2 David Pickernell 0000-0003-0912-095X 3 David Deakins 4
title Surviving or thriving: The role of learning for the resilient performance of small firms
spellingShingle Surviving or thriving: The role of learning for the resilient performance of small firms
David Pickernell
title_short Surviving or thriving: The role of learning for the resilient performance of small firms
title_full Surviving or thriving: The role of learning for the resilient performance of small firms
title_fullStr Surviving or thriving: The role of learning for the resilient performance of small firms
title_full_unstemmed Surviving or thriving: The role of learning for the resilient performance of small firms
title_sort Surviving or thriving: The role of learning for the resilient performance of small firms
author_id_str_mv 913bd73da00d7df4f5038f6f144b235e
author_id_fullname_str_mv 913bd73da00d7df4f5038f6f144b235e_***_David Pickernell
author David Pickernell
author2 Martina Battisti
Malcolm Beynon
David Pickernell
David Deakins
format Journal article
container_title Journal of Business Research
container_volume 100
container_start_page 38
publishDate 2019
institution Swansea University
issn 0148-2963
doi_str_mv 10.1016/j.jbusres.2019.03.006
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
active_str 0
description 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.
published_date 2019-07-01T04:19:59Z
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score 11.030318

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