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


Jenson, I and Leith, P and Doyle, R and West, J and Miles, MP, The root cause of innovation system problems: formative measures and causal configurations, Journal of Business Research, 69, (11) pp. 5292-5298. ISSN 0148-2963 (2016) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier Inc.

DOI: doi:10.1016/j.jbusres.2016.04.127


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.

Item Details

Item Type:Refereed Article
Keywords:fuzzy set qualitative comparative analysis, innovation failure, innovation policy, innovation system performance metrics, red meat, food safety and innovation
Research Division:Commerce, Management, Tourism and Services
Research Group:Strategy, management and organisational behaviour
Research Field:Innovation management
Objective Division:Animal Production and Animal Primary Products
Objective Group:Primary products from animals
Objective Field:Primary products from animals not elsewhere classified
UTAS Author:Jenson, I (Dr Ian Jenson)
UTAS Author:Leith, P (Dr Peat Leith)
UTAS Author:Doyle, R (Associate Professor Richard Doyle)
UTAS Author:West, J (Professor Jonathan West)
ID Code:110287
Year Published:2016
Web of Science® Times Cited:9
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2016-07-22
Last Modified:2017-11-28

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