Identifying the configurational paths to innovation in SMEs: a fuzzy-set qualitative comparative analysis

2.50
Hdl Handle:
http://hdl.handle.net/10547/621912
Title:
Identifying the configurational paths to innovation in SMEs: a fuzzy-set qualitative comparative analysis
Authors:
Poorkavoos, Meysam; Duan, Yanqing; Edwards, John S.; Ramanathan, Ramakrishnan ( 0000-0002-8861-2209 )
Abstract:
Using fuzzy-set qualitative comparative analysis (fsQCA), this study investigates the conditions leading to a higher level of innovation. More specifically, the study explores the impact of inter-organisational knowledge transfer networks and organisations' internal capabilities on different types of innovation in Small to Medium size Enterprises (SMEs) in the high-tech sector. A survey instrument was used to collect data from a sample of UK SMEs. The findings show that although individual factors are important, there is no need for a company to perform well in all the areas. The fsQCA, which enables the examination of the impacts of different combinations of factors, reveals that there are a number of paths to achieve better incremental and radical innovation performance. Companies need to choose the one that is closest to their abilities and fits best with their resources.
Affiliation:
Roffey Park Institute; University of Bedfordshire; Aston University
Citation:
Poorkavoos M., Duan Y., Edwards J., Ramanathan R. (2016) 'Identifying the configurational paths to innovation in SMEs: a fuzzy-set qualitative comparative analysis', Journal of Business Research, 69 (12), pp.5843-5854.
Publisher:
Elsevier Inc.
Journal:
Journal of Business Research
Issue Date:
1-Dec-2016
URI:
http://hdl.handle.net/10547/621912
DOI:
10.1016/j.jbusres.2016.04.067
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0148296316302302
Type:
Article
Language:
en
ISSN:
0148-2963
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorPoorkavoos, Meysamen
dc.contributor.authorDuan, Yanqingen
dc.contributor.authorEdwards, John S.en
dc.contributor.authorRamanathan, Ramakrishnanen
dc.date.accessioned2017-01-09T12:32:09Z-
dc.date.available2017-01-09T12:32:09Z-
dc.date.issued2016-12-01-
dc.identifier.citationPoorkavoos M., Duan Y., Edwards J., Ramanathan R. (2016) 'Identifying the configurational paths to innovation in SMEs: a fuzzy-set qualitative comparative analysis', Journal of Business Research, 69 (12), pp.5843-5854.en
dc.identifier.issn0148-2963-
dc.identifier.doi10.1016/j.jbusres.2016.04.067-
dc.identifier.urihttp://hdl.handle.net/10547/621912-
dc.description.abstractUsing fuzzy-set qualitative comparative analysis (fsQCA), this study investigates the conditions leading to a higher level of innovation. More specifically, the study explores the impact of inter-organisational knowledge transfer networks and organisations' internal capabilities on different types of innovation in Small to Medium size Enterprises (SMEs) in the high-tech sector. A survey instrument was used to collect data from a sample of UK SMEs. The findings show that although individual factors are important, there is no need for a company to perform well in all the areas. The fsQCA, which enables the examination of the impacts of different combinations of factors, reveals that there are a number of paths to achieve better incremental and radical innovation performance. Companies need to choose the one that is closest to their abilities and fits best with their resources.en
dc.language.isoenen
dc.publisherElsevier Inc.en
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0148296316302302en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectinnovationen
dc.subjectknowledge transferen
dc.subjectinter-firm networksen
dc.subjectinnovation managementen
dc.subjectfsQCAen
dc.subjectN200 Management studiesen
dc.titleIdentifying the configurational paths to innovation in SMEs: a fuzzy-set qualitative comparative analysisen
dc.typeArticleen
dc.contributor.departmentRoffey Park Instituteen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentAston Universityen
dc.identifier.journalJournal of Business Researchen
dc.date.updated2017-01-09T11:59:31Z-
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