Some Models of Organization Response to Budgeted Multiple Goals presents a clear, practical look at how organizations can allocate effort when rewards depend on meeting several goals.
This edition explains different ways to model performance, risk, and goal attainment, with a focus on decision rules and how to compare competing behavior assumptions.
The work walks readers through how performance in multiple areas can be treated as a stochastic outcome of effort, and shows how explicit goals can be tied to rewards. It also covers how participation in goal setting, and the number and weight of goals, affect what subordinates choose to do. The text links theory to computation, offering algorithms to find optimal solutions under various constraints and risk considerations.
What you will experience:
- A framework for understanding how effort translates into probabilistic performance across several areas
- Methods to transform goal-based and reward-based problems into comparable optimization forms
- Insights into how goal structure, participation, and risk tolerance shape actual decision rules
- Practical algorithms for computing optimal effort and evaluating different motivational assumptions
Ideal for readers of operations research, management science, budgeting, and performance measurement who want a rigorous, usable model of goal-driven behavior.