The root cause of innovation system problems: Formative measures and causal configurations

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

Research output: Contribution to journalArticle

3 Citations (Scopus)
5 Downloads (Pure)

Abstract

Innovation systems provide a structured approach to understanding innovation performance and failure. Two innovation system theories, structural and functional, provide the basis for understanding the failures of projects within the single innovation system under investigation. Many indicators of the strength of conditions in the model are important to innovation system performance. Fuzzy set qualitative comparative analysis is suitable for the validation of formative measurement models. The survey instrument meets validity criteria to the extent of this research and is a useful diagnostic tool for innovation system performance.

Original languageEnglish
Pages (from-to)5292-5298
Number of pages7
JournalJournal of Business Research
Volume69
Issue number11
Early online date24 May 2016
DOIs
Publication statusPublished - 01 Nov 2016

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Innovation system
Systems of innovation
Diagnostics
Systems theory
Qualitative comparative analysis
Measurement model
Innovation performance
Fuzzy sets

Cite this

Jenson, Ian ; Leith, Peat ; Doyle, Richard ; West, Jonathan ; Miles, Morgan P. / The root cause of innovation system problems : Formative measures and causal configurations. In: Journal of Business Research. 2016 ; Vol. 69, No. 11. pp. 5292-5298.
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The root cause of innovation system problems : Formative measures and causal configurations. / Jenson, Ian; Leith, Peat; Doyle, Richard; West, Jonathan; Miles, Morgan P.

In: Journal of Business Research, Vol. 69, No. 11, 01.11.2016, p. 5292-5298.

Research output: Contribution to journalArticle

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