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

Alberto Peralta and Luis Rubalcaba
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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

Mathematics, 2021, vol. 9, issue 11, 1-26

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.

Keywords: co-creation; public services innovation; public networks; PLS-SEM; collaborative innovation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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