How to judge if an information system really helps you make better decisions.
This book grounds evaluation in the decision maker’s perspective and introduces a practical way to measure system efficiency.
It presents a relative efficiency vector with five dimensions that matter in decision making: the content of outcomes, the content of alternatives, the content of probabilities, the refinement of data, and display bias. Grounded in the satisficing model, the approach looks at how well the system provides useful information after a decision is made, not just at raw speed or volume.
- Learn how information content and presentation affect decision quality and effort.
- Explore a vector-based framework that compares actual performance to a defined maximum.
- Understand how data refinement and display bias influence the search for options.
- See how a decisional unit of information is defined and evaluated for decisions big and small.
Ideal for readers of information systems, management science, and anyone evaluating how technology supports decisions in real-world settings.