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

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

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.

Suggested Citation

  • Jenson, Ian & Leith, Peat & Doyle, Richard & West, Jonathan & Miles, Morgan P., 2016. "The root cause of innovation system problems: Formative measures and causal configurations," Journal of Business Research, Elsevier, vol. 69(11), pages 5292-5298.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5292-5298
    DOI: 10.1016/j.jbusres.2016.04.127
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    References listed on IDEAS

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    1. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
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    5. Jenson, Ian & Leith, Peat & Doyle, Richard & West, Jonathan & Miles, Morgan P., 2016. "Testing innovation systems theory using Qualitative Comparative Analysis," Journal of Business Research, Elsevier, vol. 69(4), pages 1283-1287.
    6. Jenson, Ian & Leith, Peat & Doyle, Richard & West, Jonathan & Miles, Morgan P., 2016. "Innovation system problems: Causal configurations of innovation failure," Journal of Business Research, Elsevier, vol. 69(11), pages 5408-5412.
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    Cited by:

    1. Mohsin Malik & Hadi Ghaderi & Amir Andargoli, 2021. "A resource orchestration view of supply chain traceability and transparency bundles for competitive advantage," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3866-3881, December.
    2. Li Li & Haifen Lin & Yibo Lyu, 2022. "Technology cluster coupling and invulnerability of industrial innovation networks: the role of centralized structure and technological turbulence," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1209-1231, March.
    3. Jenson, Ian & Doyle, Richard & Miles, Morgan P., 2020. "An entrepreneurial marketing process perspective of the role of intermediaries in producing innovation outcomes," Journal of Business Research, Elsevier, vol. 112(C), pages 291-299.
    4. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
    5. Karabag, Solmaz Filiz, 2019. "Factors impacting firm failure and technological development: A study of three emerging-economy firms," Journal of Business Research, Elsevier, vol. 98(C), pages 462-474.
    6. Morgan P. Miles & Mark Morrison, 2020. "An effectual leadership perspective for developing rural entrepreneurial ecosystems," Small Business Economics, Springer, vol. 54(4), pages 933-949, April.
    7. Cristina Caterina Amitrano & Marco Tregua & Tiziana Russo Spena & Francesco Bifulco, 2018. "On Technology in Innovation Systems and Innovation-Ecosystem Perspectives: A Cross-Linking Analysis," Sustainability, MDPI, vol. 10(10), pages 1-15, October.

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