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

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.

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 http://creativecommons.org/licenses/by-nc-nd/4.0/
Publication ISSN: 1873-7978
Last Modified: 29 Nov 2023 11:15
Date Deposited: 31 May 2016 15:44
Full Text Link: 10.1016/j.jbusres.2016.04.067
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.
Ramanathan, Ramakrishnan

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