Opening Scenario
You’re the Police Chief. It’s 2 AM and you get these
calls:
- Active shooter at a downtown nightclub
- Multi-car accident with injuries on the interstate
- Domestic violence call in progress
- Burglary alarm at a jewelry store
You have 12 patrol officers on duty citywide.
Questions: How do you decide who goes where? What
information do you need? How quickly must you decide? Who’s
responsible if things go wrong?
Today’s focus: Understanding how public
administrators make decisions under pressure, uncertainty, and
competing demands
Why
Decision-Making Matters in Public Administration
The Stakes Are Higher
Public decisions affect:
- Individual rights and freedoms
- Community safety and well-being
- Public trust and legitimacy
- Resource allocation and fairness
- Legal compliance and accountability
Criminal Justice Examples:
- Prosecutorial decisions: Who to charge, what
charges to file
- Police deployment: Where to patrol, what
strategies to use
- Corrections policies: Treatment vs. punishment
emphasis
- Court administration: Case scheduling, resource
allocation
Key difference: Public decisions must serve the
public interest, not just efficiency
Information Problems in Criminal Justice:
- Conflicting witness accounts: Different versions
of events
- Media pressure: Sensationalized reporting
affecting decisions
- Social media rumors: False information spreading
rapidly
- Political pressure: Demands for action based on
incomplete information
- Data limitations: Statistics that don’t tell the
whole story
Example: High-profile police incident
- Multiple videos from different angles
- Conflicting eyewitness statements
- Social media speculation and rumors
- Political pressure for immediate response
- Legal constraints on information release
Challenge: How do administrators make sound
decisions amid information chaos?
Source Verification:
- Multiple independent sources
- Official reports vs. social media
- Expert analysis and professional judgment
- Historical context and patterns
Information Systems:
- Real-time data from multiple agencies
- Crime analysis and pattern recognition
- Performance metrics and trend analysis
- Evidence-based research and best practices
Stakeholder Input:
- Community feedback and concerns
- Professional expertise from staff
- Legal counsel and compliance review
- Coordination with other agencies
Four Models of
Decision-Making
Different Ways to Make
Choices
- Rational Model: Comprehensive analysis and
optimization
- Bounded Rationality: “Good enough” solutions with
limited information
- Incremental Model: Small changes to existing
policies
- Garbage Can Model: Solutions looking for problems
in chaotic environments
Reality: Public administrators use all four
depending on the situation
Model 1: Rational
Decision-Making
The “Textbook” Approach
Steps in Rational Decision-Making:
- Define the problem clearly and completely
- Identify all alternatives and possible
solutions
- Evaluate each option using consistent
criteria
- Select the best alternative based on
analysis
- Implement the decision systematically
- Monitor and evaluate results for future
learning
When It Works: Complex policy decisions with
adequate time and resources
Criminal Justice Example: Developing a new
community policing strategy with research, community input, pilot
testing, and evaluation
Rational Model:
Strengths and Limitations
Why Pure Rationality Is
Rare
Strengths:
- Thorough analysis and consideration
- Defensible, evidence-based decisions
- Clear documentation and accountability
- Optimizes outcomes when properly applied
Limitations:
- Time constraints: Emergencies don’t wait for
analysis
- Information gaps: Perfect information rarely
available
- Resource limits: Comprehensive analysis is
expensive
- Political pressure: Stakeholders want quick
action
- Value conflicts: Different groups define “best”
differently
Reality: Most public decisions involve bounded
rationality
Model 2: Bounded Rationality
“Satisficing” Instead of
Optimizing
Herbert Simon’s Concept:
- Decision-makers have limited time, information, and cognitive
capacity
- Look for “good enough” solutions rather than perfect ones
- Use experience, rules of thumb, and professional judgment
- Accept first acceptable solution rather than continuing to
search
Criminal Justice Applications:
- Emergency response: Quick deployment decisions
with limited information
- Daily operations: Routine decisions based on
standard procedures
- Resource allocation: Distributing patrol officers
based on experience and patterns
Bounded Rationality in
Action
Real-World Example:
Police Deployment
Situation: Friday night, limited patrol
coverage
Rational approach would require:
- Analysis of all crime patterns and predictions
- Evaluation of every possible deployment option
- Optimization algorithm for best coverage
- Real-time adjustment based on changing conditions
Bounded rational approach:
- Use established beat assignments and hot spot knowledge
- Adjust based on recent crime trends and events
- Apply professional experience and judgment
- Make quick decisions as situations develop
Result: Good enough decisions made quickly with
available information
Model 3: Incremental
Decision-Making
“Muddling Through” with
Small Changes
Charles Lindblom’s Approach:
- Make small adjustments to existing policies
- Test changes on limited scale before full implementation
- Build consensus through gradual change
- Reduce risk by avoiding dramatic policy shifts
When It Works:
- Politically sensitive issues requiring consensus
- Complex problems without clear solutions
- Situations where radical change is risky or impossible
Criminal Justice Example: Police reform through
gradual policy changes rather than complete department
restructuring
Incremental Model:
Benefits and Drawbacks
The Politics of Small Steps
Benefits:
- Politically feasible: Easier to build consensus
for small changes
- Risk reduction: Limited exposure from policy
failures
- Learning opportunity: Test and adjust based on
experience
- Resource efficiency: Lower costs than
comprehensive reform
Drawbacks:
- Slow progress: May not address urgent problems
quickly enough
- Status quo bias: Difficult to make necessary
major changes
- Crisis vulnerability: Incremental change may not
prevent major problems
- Inequality maintenance: Small changes may
preserve existing inequities
Example: Gradual police training improvements
vs. comprehensive reform demands
Model 4: Garbage Can
Decision-Making
When Organizations Are in
Chaos
Cohen, March, and Olsen’s Model:
- Problems seeking solutions
- Solutions looking for problems to solve
- Participants moving in and out of decision
processes
- Choice opportunities arising unpredictably
When It Happens:
- Crisis situations with multiple urgent issues
- Organizations under pressure with competing priorities
- High turnover and unclear authority
- Media attention and political pressure
Criminal Justice Example: Major incident response
where multiple agencies, problems, and solutions collide in
unpredictable ways
Garbage Can in Crisis
Situations
Example: Major Public
Safety Crisis
Multiple Problems:
- Immediate public safety threat
- Media and political pressure
- Resource coordination challenges
- Legal and procedural requirements
Multiple Solutions:
- Deploy all available resources
- Call for mutual aid assistance
- Implement emergency protocols
- Hold press conference
Multiple Participants:
- Police commanders, elected officials
- Emergency management, media relations
- Community leaders, agency partners
Result: Solutions may be chosen based on who’s in
the room and what’s available, not optimal analysis
Public Choice Theory
Applying
Economic Logic to Government Decisions
Core Assumptions:
- Public employees are self-interested, rational actors
- Agencies seek to maximize budgets and influence
- Politicians seek to maximize votes and power
- Citizens seek to maximize benefits while minimizing costs
Applications to Criminal Justice:
- Police departments: Seeking larger budgets and
expanded authority
- Prosecutors: Pursuing high-profile cases for
career advancement
- Corrections: Empire-building through expanded
facilities and programs
Insight: Understanding self-interest helps predict
organizational behavior
Public Choice:
Insights and Limitations
When Market Logic
Applies to Government
Useful Insights:
- Explains why agencies resist budget cuts
- Predicts resistance to efficiency improvements
- Shows why coordination between agencies is difficult
- Reveals incentive misalignments in bureaucracy
Limitations:
- Oversimplifies motivation: Many public employees
are mission-driven
- Ignores professional norms: Training and ethics
matter
- Misses collaborative success stories: Agencies do
work together
- Cynical assumptions: May become self-fulfilling
prophecy
Balance: Recognize self-interest while promoting
public service values
Bargaining and
Participative Decision-Making
Involving Stakeholders in
Decisions
Why Involve Others:
- Better information: Different perspectives reveal
blind spots
- Improved quality: More ideas lead to better
solutions
- Increased legitimacy: Stakeholder involvement
builds support
- Democratic values: Citizens should influence
decisions affecting them
Criminal Justice Applications:
- Community policing councils: Citizen input on
police priorities
- Sentencing circles: Restorative justice involving
victims and community
- Task forces: Multi-agency collaboration on
complex problems
- Public hearings: Community input on policy
changes
Participative
Decision-Making: Benefits and Challenges
When More Voices Help (and
Hurt)
Benefits:
- Better decisions: More information and
perspectives
- Stronger support: Stakeholders more likely to
support decisions they helped make
- Democratic legitimacy: Public participation in
public decisions
- Learning opportunity: Education for both
administrators and citizens
Challenges:
- Time consuming: Consultation takes longer than
unilateral decisions
- Conflicting interests: Different groups want
different things
- Technical complexity: Citizens may lack expertise
for complex decisions
- Accountability confusion: Who’s responsible when
many are involved?
Risk Management in Public
Decisions
Dealing with
Uncertainty and Consequences
Types of Risk in Criminal Justice:
- Public safety risks: Officer safety, community
protection
- Legal risks: Constitutional violations, liability
exposure
- Political risks: Public backlash, electoral
consequences
- Financial risks: Budget overruns, cost
effectiveness
- Operational risks: Technology failures,
coordination breakdowns
Risk Assessment Tools:
- Scenario planning and contingency preparation
- Historical data and trend analysis
- Expert consultation and professional judgment
- Stress testing and simulation exercises
Risk Management Strategies
How Public
Administrators Handle Uncertainty
Risk Avoidance: Don’t do risky things
- Example: Avoiding controversial police tactics
Risk Mitigation: Reduce likelihood or impact
- Example: Training and equipment to reduce officer
injuries
Risk Transfer: Shift risk to others
- Example: Insurance policies, contracted services
Risk Acceptance: Acknowledge and monitor
- Example: Accepting some level of crime as inevitable
Challenge: Balancing risk aversion with mission
accomplishment
Facts vs. Values in
Public Decisions
The Fact-Value Problem:
- Facts: What is the situation? What are the
options? What are likely outcomes?
- Values: What should we prioritize? What’s most
important? What’s right?
- Reality: Most decisions involve both factual
analysis and value judgments
Criminal Justice Example: Police Use of Force
Policy
- Facts: Officer safety statistics, community
complaint data, legal requirements
- Values: Community safety vs. individual rights,
officer discretion vs. accountability
- Decision: Policy must reflect both factual
analysis and community values
Balancing
Professional Judgment and Democratic Accountability
The Expertise
vs. Democracy Tension
Professional Expertise:
- Technical knowledge and specialized training
- Experience with similar situations
- Understanding of best practices and research
- Legal and procedural requirements
Democratic Accountability:
- Elected officials represent community preferences
- Citizens should influence decisions affecting them
- Transparency and public input requirements
- Political responsiveness and electoral consequences
The Challenge: When professional judgment
conflicts with democratic preferences
Multiple
Decision-Making Models in Action
Situation: City considering community policing
implementation
Rational Elements:
- Research on community policing effectiveness
- Cost-benefit analysis of different approaches
- Evaluation of other cities’ experiences
Bounded Rational Elements:
- Limited time for analysis due to political pressure
- Selecting first viable approach rather than perfect solution
- Using consultant recommendations as shortcut
Incremental Elements:
- Pilot program in one neighborhood before citywide
- Gradual training and policy changes
- Building on existing community relationships
Participative Elements:
- Community meetings and input sessions
- Police officer feedback and concerns
- City council deliberation and approval
Technology and
Data-Driven Decisions
Data Analytics in Criminal Justice:
- Crime mapping: Geographic analysis of crime
patterns
- Predictive policing: Using algorithms to forecast
crime
- Risk assessment: Data-driven evaluation of
offender likelihood
- Performance metrics: Measuring and monitoring
outcomes
Benefits:
- More objective, evidence-based decisions
- Pattern recognition beyond human capability
- Real-time information for dynamic situations
- Improved accountability and transparency
Challenges:
- Data quality and bias issues
- Over-reliance on quantitative measures
- Algorithm transparency and accountability
- Balancing efficiency with equity
Ethical
Considerations in Decision-Making
Right vs. Right Decisions
Common Ethical Dilemmas:
- Individual vs. community: Protecting one person
vs. community safety
- Short-term vs. long-term: Immediate action
vs. sustainable solutions
- Efficiency vs. equity: Cost-effective vs. fair
treatment
- Professional vs. political: Expert judgment
vs. democratic preferences
Ethical Frameworks:
- Utilitarian: Greatest good for greatest
number
- Rights-based: Protecting individual rights and
dignity
- Justice-based: Fair treatment and procedural
equity
- Care-based: Relationships and responsibilities to
others
Crisis Decision-Making
When Normal Processes Don’t
Work
Crisis Characteristics:
- Time pressure: Immediate decisions required
- High stakes: Major consequences for mistakes
- Information gaps: Limited or conflicting
information
- Resource constraints: Not enough people or
equipment
- Public attention: Media and political
scrutiny
Adaptations Required:
- Streamlined decision processes
- Clear authority and responsibility
- Rapid information gathering and sharing
- Flexible resource deployment
- Communication with multiple audiences
Future Trends in
Public Decision-Making
How Decision-Making Is
Evolving
Technology Integration:
- AI-assisted analysis and recommendations
- Real-time data integration and visualization
- Simulation and modeling capabilities
- Automated routine decisions
Citizen Engagement:
- Digital platforms for public input
- Social media monitoring and response
- Crowdsourcing ideas and solutions
- Transparent decision-making processes
Evidence-Based Practice:
- Research integration into routine decisions
- Systematic evaluation of outcomes
- Continuous improvement culture
- Professional learning networks
Your Future as
Decision-Makers
Skills You’ll Need
Analytical Skills:
- Critical thinking and problem analysis
- Data interpretation and synthesis
- Research methods and evaluation
- Risk assessment and management
Political Skills:
- Stakeholder engagement and communication
- Negotiation and conflict resolution
- Coalition building and consensus development
- Media relations and public communication
Ethical Skills:
- Moral reasoning and value clarification
- Professional integrity and accountability
- Cultural competency and sensitivity
- Long-term thinking and sustainability
Leadership Skills:
- Vision setting and change management
- Team building and collaboration
- Crisis management and adaptation
- Learning and development orientation
Discussion Questions
Thinking About Decision-Making:
- When should public administrators use rational analysis vs. quick
professional judgment?
- How do you balance community input with professional
expertise?
- What’s the appropriate role of data and analytics in criminal
justice decisions?
- How should administrators handle situations where facts and values
conflict?
- What decision-making changes would improve government
effectiveness?
Module 7-1 Summary
Key Takeaways:
- Public decision-making involves multiple models depending on
situation
- Information quality and bias significantly affect decision
outcomes
- Risk management is essential but must be balanced with mission
accomplishment
- Facts and values both influence decisions - neither alone is
sufficient
- Stakeholder involvement improves decisions but complicates
processes
- Technology offers new tools but doesn’t eliminate need for
judgment
- Ethics and accountability are essential considerations in all
public decisions
- Future leaders need analytical, political, ethical, and leadership
skills
Next: Examining budgeting and financial management
in public organizations