Policy & Politics Highlights collection on new Special Issue on Policy Learning and Policy Innovation: Interactions and Intersections by Claire Dunlop, Claudio Radaelli, Ellen Wayenberg and Bishoy Zaki

by Sarah Brown, Journals Manager


The idea of innovation has become one of the most persistent and sought-after today. While too conceptually elusive to pin down to a single statement, innovation can be broadly understood as a process whereby new elements and approaches are introduced to existing ones, in an attempt to solve problems, add value, and contribute to knowledge. Being a problem-solving, value-oriented process, it is no surprise that the concept of innovation is increasingly finding footholds in different theoretical spaces within policy and political sciences, from collaborative arrangements, democratic practices, policy design and experimentation, to behavioural and cognitive theories. Within the public sector, innovation can be understood as the creation of new policies, services, advisory, governance and political arrangements, often leading to the development of novel shared views of what is acceptable and expected by the public as beneficiaries.  

Intuitively, policy learning has a family resemblance to policy innovation. It seems almost self-evident that they should be considered together in the explanation of policy dynamics. Yet the two literatures have developed independently of each other. Studies which put them in conversation are few.  

Our motivation then is simple.  

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NEW SPECIAL ISSUE BLOG SERIES ON Policy Learning: Types, Mechanisms and Effects. BLOG 2: Why policy failure is a prerequisite for innovation in the public sector

by Philipp Trein and Thenia Vagionaki 

In our article entitled, “Why policy failure is a prerequisite for innovation in the public sector,” we explore the relationship between policy failure and innovation within public governance. Drawing inspiration from the “Innovator’s Dilemma,”—a theory from the management literature—we argue that the very nature of policymaking, characterized by myopia of voters, blame avoidance by decisionmakers, and the complexity (ill-structuredness) of societal challenges, has an inherent tendency to react with innovation only after failure of existing policies.  

Our analysis implies that we need to be more critical of what the policy process can achieve in terms of public sector innovation. Cognitive limitations tend to lead to a misperception of problems and inaccurate assessment of risks by decision makers according to the “Innovator’s Dilemma”.  This problem implies that true innovation (non-trivial policy changes) are unlikely to happen before an existing policy has failed visibly. However, our perspective does not want to paint a gloomy picture for public policy making but rather offers a more realistic interpretation of what public sector innovation can achieve. As a consequence, learning from experts in the policy process should be expected to correct failures in public sector problem-solving during the political process, rather than raise expectations beyond what is possible. 

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