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Add your Insight

Manuscript deadline
15 February 2021

Cover image - Public Management Review

Public Management Review

Special Issue Editor(s)

Helen Dickinson, University of New South Wales, Australia
[email protected]

Ines Mergel, University of Konstanz, Germany
[email protected]

Jari Stenvall, Tampere University, Finland
[email protected]

Mila Gasco Hernandez, University at Albany, SUNY
[email protected]

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AI in the public sector


This special issue will provide a resource to academics and practitioners working within the field of public management and public services. It will take stock of where the field is so far with AI, offer empirical insights and then develop signposts where the field of public management needs to go next with respect to this technology. It will delineate what it is we already know about this area, clarify terminology, set out the major areas of debate and provide helpful guidance around implementation for those working in a public management context.

This special issue will focus on implementation and public service management-related issues. The public management academic community has often failed to give sufficient attention to aspects of technological change. AI provides an opportunity to rethink public service delivery and co-production models. The public management literature can offer some helpful insights into guiding the role that governments play in overseeing these technologies. The intention is that this special issue should play an important role in doing this with respect to AI technologies. The end product will seek to set out what is known about this topic and where the major gaps in the knowledge base reside.

AI is interesting from the perspective that it is a new tool for those in the public management space to draw on and proponents argue that it will have a number of important impacts on the design and delivery of a range of public services. AI has the potential to drive efficiencies in areas of public services such as surgery and traffic management. The attraction of AI is that it is able analyze information faster than humans, at lower cost potentially creating new service models.

We also know that there will be a number of unanticipated or unintended consequences as a result of the use of these technologies. Indeed, much of the current scholarship surrounding this concept relates to potential challenges that may arise as a result of the use of AI. However, these technologies also have the potential to have an impact on public management and public managers in other interesting ways. AI applications may fundamentally change the work of public managers and public servants. By automating services and offering proactive public service delivery, AI has the potential to free up human capacity for complex decision making processes that require interaction between different types of human decision makers. Applications of AI technologies may also fundamentally alter organizational routines. While some consideration has been given to how AI might replace humans, automating aspects of service delivery, for example through the use of chat bots, arguably more interesting areas of focus for public managers resides in how AI will augment the skills and capabilities of humans and how they will work alongside one another. As with all technologies the challenge is not controlling the technology, rather it is controlling the people who control the technology.

Paper topics sought

This special issue calls for papers that fill the above gaps by asking for papers to be submitted that provide evidence of failures and successes in the implementation of these technologies.  There are some papers in this space already that are largely normative or which do not offer empirical data and these are not the core target of this call. We are seeking empirical papers that do not just describe AI initiatives, but are evaluative and build on this evidence. We are open to the submission of literature reviews, but only where they substantially develop existing thinking or integrate literature from a range of different fields and make this relevant to a public management audience.  We welcome case studies or large scale survey studies that explore the use of AI from a Public Management perspective dealing with issues such as the governance and/or management of AI, how AI is changing public management practices and the work of public managers. These cases may include, but are not limited to, how AI supports decision making in services (e.g., emergency management, health, police, defence), how AI is used to create citizen-centric services, the implications of AI for the capabilities and capacities of the public service workforce, and how other stakeholders influence the adoption of AI in the public  sector. We therefore welcome studies from a range of fields and cross-disciplinary studies, which make contributions to the public management understanding of AI.

Looking to Publish your Research?

We aim to make publishing with Taylor & Francis a rewarding experience for all our authors. Please visit our Author Services website for more information and guidance, and do contact us if there is anything we can help with!

Submission Instructions

Topics may include, but are not limited  to:

  • The implementation of AI as a public management task
  • The ethics and risk governance of AI and algorithms in public management implementation
  • Linking AI implementation, evaluation and the political agenda
  • The behavioural impacts of AI – e.g. on motivation, trust, etc.
  • Comparative studies across different public service fields

Authors are welcome to send emails to the editorial team to check if a submission is in scope for this call.


15th February 2021: Submission of article manuscripts to PMR special issue editors

1st May 2021: First review of papers complete. Authors informed about acceptance, necessary revisions or rejection

1st July 2021: Resubmission of articles (2nd ms version)

1st September 2021: Second review of (revised) papers complete

1st November 2021:  Resubmission of articles (3rd ms version)

1st February 2022: Electronic publication of articles

2022: Hard copy publication

Instructions for AuthorsSubmit an Article