Publication Type
Journal Article
Version
publishedVersion
Publication Date
4-2025
Abstract
The study of policy tools has been undertaken for several decades. This work has isolated and examined many different types of instruments or levers utilized by governments to implement their policies and examined in detail how they are arranged into mixes, packages, or portfolios of tools. However, recent developments in society and technology have highlighted the potential to use new or previously underutilized policy instruments for both traditional tasks and to address new challenges associated with emerging technologies and other contemporary issues. These tools include social media platforms, collaboration, behavioral insights, and data-driven approaches to policy-making and policy design using big data and artificial intelligence, among others. Like any other tool, however, each of these new tools has its strengths and weaknesses. This article addresses the promises and pitfalls of these new kinds of tools and assesses how their deployment and effectiveness can be understood using typologies and concepts developed to deal with traditional policy instruments.
Keywords
artificial intelligence, big data, collaboration, digital government, nudges, Policy tools
Discipline
Public Affairs, Public Policy and Public Administration
Research Areas
Political Science
Publication
Policy Design and Practice
Volume
8
Issue
1
First Page
121
Last Page
137
ISSN
2574-1292
Identifier
10.1080/25741292.2025.2495373
Publisher
Taylor and Francis Group
Citation
HOWLETT, Michael, GIEST, Sarah, MUKHERJEE, Ishani, & TAEIHAGH, Araz.(2025). New policy tools and traditional policy models: Better understanding behavioural, digital and collaborative instruments. Policy Design and Practice, 8(1), 121-137.
Available at: https://ink.library.smu.edu.sg/soss_research/4209
Copyright Owner and License
Authors-CC-BY
Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.
Additional URL
https://doi.org/10.1080/25741292.2025.2495373