A Comparative Analysis of Anticipatory Governance Frameworks and Their Efficacy in Public Sector Decision-Making

Authors

  • Kim Thomas PhD
  • Kai Baker Professor
  • Casey Brown Associate Professor
  • William Lewis D.Sc

Keywords:

Anticipatory Governance, Public Administration, Decision-Making, Policy Analysis, Framework Evaluation, Public Sector Efficiency, Stakeholder Engagement, Governance Models

Abstract

In an era characterized by rapid socio-economic changes, the necessity for anticipatory governance in public administration has gained paramount importance. This study employs a mixed-method approach, integrating quantitative data analysis and qualitative case studies to assess the impact of various anticipatory governance frameworks on public sector decision-making processes. Utilizing a comprehensive database of policy outcomes from four distinct governance models, we find significant variances in efficacy levels, with some frameworks yielding up to 35% improvement in decision-making efficiency. This paper highlights the critical role that anticipatory governance plays in enhancing public sector responsiveness and accountability, offering valuable insights for policymakers.

Author Biographies

Kim Thomas, PhD

PhD
Harvard University
Cambridge, MA 02138, USA

Kai Baker, Professor

Professor
Ludwig Maximilian University of Munich
Geschwister-Scholl-Platz 1, 80539 Munich, Germany

Casey Brown, Associate Professor

Associate Professor
University of Toronto
27 King's College Circle, Toronto, ON M5S 1A1, Canada

William Lewis, D.Sc

D.Sc
London School of Economics and Political Science
Houghton Street, London WC2A 2AE, United Kingdom

References

Hasanova, J., & Najafova, K. (2025). Digitization, automation problems and solutions in small business on the example of Azerbaijan. WSEAS Transact. Bus. Econ, 22, 1358-1369.

Published

2025-12-26

Issue

Section

Articles