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


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.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: FsQCA,innovation,innovation management,inter-firm networks,knowledge transfer,Management Science and Operations Research,Marketing
Publication ISSN: 1873-7978
Last Modified: 17 Jun 2024 07:20
Date Deposited: 31 May 2016 15:44
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2016-12
Published Online Date: 2016-05-01
Accepted Date: 2016-04-25
Submitted Date: 2015-02-17
Authors: Poorkavoos, Meysam
Duan, Yanqing
Edwards, John S. (ORCID Profile 0000-0003-3979-017X)
Ramanathan, Ramakrishnan

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