Mathematics (Jun 2021)

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

  • Alberto Peralta,
  • Luis Rubalcaba

DOI
https://doi.org/10.3390/math9111270
Journal volume & issue
Vol. 9, no. 11
p. 1270

Abstract

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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.

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