Automated decision support
Automated Decision Support (ADS) systems are computer-based tools that use predefined rules to automatically solve routine and repetitive management problems.[1] These systems assist human decision-makers by providing recommendations or solutions based on structured business rules, but typically the final decision remains with a person (unlike fully automated decision-making, where decisions are made entirely by computer systems without human intervention).
At the core of an ADS are business rules—explicit, formalized guidelines that define how decisions should be made. These rules are created and maintained through business analytics and guide the system in selecting appropriate actions based on the data and context.
Components
[edit]Components of ADSs are often provided by software development companies and include:[2]
- Rules engines
- Mathematical and statistical algorithms
- Industry-specific software packages
- Enterprise systems
- Workflow applications
See also
[edit]References
[edit]Further reading
[edit]- DeSanctis, Gerardine; Gallupe, R. Brent "A Foundation for the Study of Group Decision Support Systems ," Gallupe Management Science, Vol. 33, No. 5. (May, 1987), pp. 589–609
- Fjermestad, Jerry and Hiltz, Starr Roxanne. "An assessment of group support systems experimental research: methodology and results," Journal of Management Information Systems Volume 15, Issue 3 (December 1998), pp. 7 – 149
- Jessup, Leonard M. and Tansik, David A. "Decision Making in an Automated Environment: The Effects of Anonymity and Proximity with a Group Decision Support System," Decision Sciences 22 (2), 1991, pp. 266–279 doi:10.1111/j.1540-5915.1991.tb00346.x
- Nunamaker, J. F., Applegate, Lynda M. and Konsynski, Benn R. "Computer-Aided Deliberation: Model Management and Group Decision Support (in Special Focus on Decision Support Systems)," Operations Research, Vol. 36, No. 6. (Nov. - Dec., 1988), pp. 826–848.
- O'Keefe, Robert M. and McEachern, Tim. "Web-based customer decision support systems," Communications of the ACM archive Volume 41, Issue 3 (March 1998), pp. 71 – 78
- Turban, Leidner, McLean and Wetherbe, Information Technology for Management, Wiley & Sons, Inc. 2007, ISBN 978-0-471-78712-9