Testing innovation systems theory using qualitative comparative analysis

Ian Jenson; Peat Leith; Richard Doyle; Jonathan West; Morgan P. Miles

doi:10.1016/j.jbusres.2015.10.093

Testing innovation systems theory using qualitative comparative analysis

Ian Jenson, Peat Leith, Richard Doyle, Jonathan West, Morgan P. Miles

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

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Abstract

Systematic approaches to understanding innovation are common, but these approaches still need testing as theories. This study aims to fill that gap by constructing sectoral and technological innovation-system failure models as theories and by testing those models using a multiple case study and fuzzy set qualitative comparative analysis. Both theories predict innovation system performance. Qualitative comparative analysis proved useful in both constructing and testing theory.

Original language	English
Pages (from-to)	1283-1287
Number of pages	5
Journal	Journal of Business Research
Volume	69
Issue number	4
Early online date	23 Oct 2015
DOIs	https://doi.org/10.1016/j.jbusres.2015.10.093
Publication status	Published - 01 Apr 2016

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10.1016/j.jbusres.2015.10.093

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abstract = "Systematic approaches to understanding innovation are common, but these approaches still need testing as theories. This study aims to fill that gap by constructing sectoral and technological innovation-system failure models as theories and by testing those models using a multiple case study and fuzzy set qualitative comparative analysis. Both theories predict innovation system performance. Qualitative comparative analysis proved useful in both constructing and testing theory.",

keywords = "Innovation policy, Innovation systems, QCA",

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AU - Leith, Peat

AU - Doyle, Richard

AU - West, Jonathan

AU - Miles, Morgan P.

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N2 - Systematic approaches to understanding innovation are common, but these approaches still need testing as theories. This study aims to fill that gap by constructing sectoral and technological innovation-system failure models as theories and by testing those models using a multiple case study and fuzzy set qualitative comparative analysis. Both theories predict innovation system performance. Qualitative comparative analysis proved useful in both constructing and testing theory.

AB - Systematic approaches to understanding innovation are common, but these approaches still need testing as theories. This study aims to fill that gap by constructing sectoral and technological innovation-system failure models as theories and by testing those models using a multiple case study and fuzzy set qualitative comparative analysis. Both theories predict innovation system performance. Qualitative comparative analysis proved useful in both constructing and testing theory.

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KW - Innovation systems

KW - QCA

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Testing innovation systems theory using qualitative comparative analysis

Abstract

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