Databsse system approach the management decision support
ACM Transactions on Database Systems (TODS)
A relational model of data for large shared data banks
Communications of the ACM
The New Science of Management Decision
The New Science of Management Decision
Management Information Systems: Conceptual Foundations, Structure and Development
Management Information Systems: Conceptual Foundations, Structure and Development
Management Decision Systems: Computer-Based Support for Decision Making
Management Decision Systems: Computer-Based Support for Decision Making
Operating Systems
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
Business graphics: A taxonomy for information systems managers
ACM SIGMIS Database
A decision support system for academic advising
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Social Analyses of Computing: Theoretical Perspectives in Recent Empirical Research
ACM Computing Surveys (CSUR)
Case-Based Reasoning Systems: From Automation to Decision-Aiding and Stimulation
IEEE Transactions on Knowledge and Data Engineering
Categorizing decision support systems: a multidimensional approach
Decision making support systems
Advanced topics in end user computing
Research issues in systems development prototyping
ACM SIGCPR Computer Personnel
Prototyping: the new paradigm for systems development
MIS Quarterly
An investigation of database requirements for institutional and ad hoc DSS
ACM SIGMIS Database
The Senior Executive as Organizational Stakeholder of Microcomputer Technology
Information Resources Management Journal
| Hi-index | 0.00 |
The term decision support system (DSS) applies to the subset of management information systems that truly support decision-making processes. This term excludes structured decision systems that essentially present the appropriate decisions for management approval, as is the case in many inventory-control or billing systems. This paper differentiates between two classes of decision support systems: institutional DSS, which deal with decisions of a recurring nature, and ad hoc DSS, which deal with specific problems that are usually not anticipated or recurring. An understanding of these two classes of decision support systems facilitates making explicit both their common and different computational needs. This analysis has provided a basis for the development of computational facilities to support effectively their common needs. This paper briefly describes some of those computational facilities and illustrates their use in systems (institutional and ad hoc) which are being effectively used to support regional energy decisions in New England.