Public sector innovation—From theory to measurement
By Carter Bloch, Markus M. Bugge. 2013
277 citations recorded by the source corpus.
While there is growing awareness that much innovation currently takes place in the public sector, it is also recognised that more systematic efforts to promote innovation are needed to address the economic and societal challenges that public sectors face. However, there is a lack of a common understanding of what public sector innovation is and a lack of a measurement framework that can shed light on innovation processes in public sector organisations. Based on insights generated in a recent Nordic pilot study, this paper seeks to contribute to fill this gap. The paper discusses how public sector innovation can be captured and to what extent measurement can be based on frameworks originally developed in a private sector context. While there are important differences between the public and the private sector that should be reflected in a measurement framework, there is also considerable common ground that can be drawn upon.
Subfields: Management of Technology and Innovation, Public Administration, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/652db4a327350e203cd6f162583643cb76ea0bea
How researchers see this paper
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In Management of Technology and Innovation
- Fred Gault
- P. Trott
- Emre Cinar
- C. Simms
- A. Arundel
- Bruno van Pottelsberghe de la Potterie
- K. Hussinger
- Gaétan de Rassenfosse
In Public Administration
In Strategy and Management
Citations in the corpus
- Measuring innovation in all sectors of the economy (2018, methodology): “The MEPIN definitions (Bloch and Bugge 2013) are closer to those of the Oslo Manual.”
- How European public sector agencies innovate: The use of bottom-up, policy-dependent and knowledge-scanning innovation methods (2015, background): “Collaboration with external partners was noted as an important supporting activity in the Scandinavian (Bloch and Bugge, 2013) and Innobarometer surveys (European Commission, 2011).”
- AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings (2020, unknown): “…accepted that the main difference in assessing private sector and public sector innovation, is the possible absence of the market in the latter (Bloch & Bugge, 2013), and as a consequence, outcome monitoring has historically relied mainly on self-reported measures such as interviews and…”
- A systematic review of barriers to public sector innovation process (2019, background): “A limited number of studies (e.g. Bloch and Bugge 2013; Arundel, Casali, and Hollanders 2015) utilized the responses to innovation barriers from these surveys in their analysis; however, none of these studied the nature of barriers exclusively.”