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Collaborative Service Innovation: A Quantitative Analysis of Innovation Networks in a Multisectoral Setting

Author

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  • Alberto Peralta

    (Department of Business and Economics, Faculty of Business, Economics, and Tourism, University of Alcala (UAH), 28802 Alcalá de Henares, Spain)

  • Luis Rubalcaba

    (Department of Business and Economics, Faculty of Business, Economics, and Tourism, University of Alcala (UAH), 28802 Alcalá de Henares, Spain)

Abstract

Partial least squares structural equation modelling has proven very valuable to study the unexplored and complex public service innovation networks (PSINs) in the public sector, from a socio-economic stance. Web have modelled PSINs’ three structural variables—Social, Actors, and Functioning mode—using a sample of original data (n = 233). Our PSINs’ model confirms them as instruments that produce public service innovation—involving technological and nontechnological characteristics. Additionally, we set-up a novel and potentially fruitful methodology to study the intricate formation and impact of complex socio-economical structures that connect innovation and public services. Hence, our research supports a better and extended use of PSINs as a tool for policy and service co-design and co-implementation. And we open a promising line of studies involving multi-actor collaboration in the public sector.

Suggested Citation

  • Alberto Peralta & Luis Rubalcaba, 2021. "Collaborative Service Innovation: A Quantitative Analysis of Innovation Networks in a Multisectoral Setting," Mathematics, MDPI, vol. 9(11), pages 1-26, June.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1270-:d:566963
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    References listed on IDEAS

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