Abstract
This article provides a comprehensive review of decision-making models and processes in public administration, examining how different theoretical frameworks — rational choice, incrementalism, bounded rationality, and participatory approaches — explain and prescribe administrative decision-making in complex governance environments.
Decision-Making Models
Rational Choice Model
The rational choice model, rooted in classical economic theory, assumes that decision-makers identify all options, evaluate their consequences, and select the optimal alternative. While providing a useful normative benchmark, this model has been widely criticised for its unrealistic assumptions about information availability, cognitive capacity, and value consensus in public organisations.
Incrementalism
Charles Lindblom’s incrementalist model describes how administrators actually make decisions: through small, cautious steps that build on existing policies. This “muddling through” approach reflects the political constraints and cognitive limitations of real-world governance but may be inadequate for addressing systemic challenges.
Bounded Rationality
Herbert Simon’s concept of bounded rationality provides a middle ground, acknowledging that administrators aim for rational decisions but are constrained by limited information, cognitive capacity, and time. “Satisficing” — choosing options that are “good enough” — rather than optimising is the characteristic decision strategy.
Participatory Approaches
Participatory decision-making models incorporate stakeholder input into administrative processes, drawing on deliberative democracy theory. These approaches offer enhanced legitimacy and information richness but face challenges of representation, efficiency, and institutional capacity.
Contemporary Challenges
- Evidence-based policy making requires navigating the complex relationship between research evidence and political values
- Digital technologies offer new possibilities for data-driven decision-making but also raise concerns about algorithmic governance
- Cross-sectoral governance challenges require decision-making frameworks that span organisational boundaries
- Crisis management demands rapid decision-making under conditions of extreme uncertainty
Research Directions
The article identifies several promising research directions including the behavioural turn in public administration, the role of emotions in administrative decision-making, comparative studies of decision processes across governance levels, and the impact of digital transformation on administrative rationality.
Implications
The review provides a foundation for researchers and practitioners seeking to understand and improve decision-making in public organisations, emphasising the need for context-sensitive approaches that combine analytical rigour with democratic legitimacy.
