Introduction of Management Information Systems

Topics: Decision support system, Decision theory, Decision making Pages: 9 (2784 words) Published: July 16, 2014

Decision support system
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It has been suggested that decision-making software be merged into this article. (Discuss) Proposed since February 2014.

Example of a Decision Support System for John Day Reservoir. A Decision Support System (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help to make decisions, which may be rapidly changing and not easily specified in advance (Unstructured and Semi-Structured decision problems). Decision support systems can be either fully computerized, human or a combination of both. While academics have perceived DSS as a tool to support decision making process, DSS users see DSS as a tool to facilitate organizational processes.[1] Some authors have extended the definition of DSS to include any system that might support decision making.[2] Sprague (1980) defines DSS by its characteristics: 1. DSS tends to be aimed at the less well structured, underspecified problem that upper level managers typically face; 2. DSS attempts to combine the use of models or analytic techniques with traditional data access and retrieval functions; 3. DSS specifically focuses on features which make them easy to use by noncomputer people in an interactive mode; and 4. DSS emphasizes flexibility and adaptability to accommodate changes in the environment and the decision making approach of the user. DSSs include knowledge-based systems. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, and personal knowledge, or business models to identify and solve problems and make decisions. Typical information that a decision support application might gather and present includes: inventories of information assets (including legacy and relational data sources, cubes, data warehouses, and data marts), comparative sales figures between one period and the next,

projected revenue figures based on product sales assumptions. Contents
  [hide] 
1 History
2 Taxonomies
3 Components
4 Development frameworks
5 Classification
6 Applications
7 Benefits
8 Features
9 See also
10 References
11 Further reading
History[edit]
The concept of decision support has evolved from two main areas of research: The theoretical studies of organizational decision making done at the Carnegie Institute of Technology during the late 1950s and early 1960s, and the technical work on Technology in the 1960s.[3] DSS became an area of research of its own in the middle of the 1970s, before gaining in intensity during the 1980s. In the middle and late 1980s, executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS) evolved from the single user and model-oriented DSS. According to Sol (1987)[4] the definition and scope of DSS has been migrating over the years. In the 1970s DSS was described as "a computer-based system to aid decision making". In the late 1970s the DSS movement started focusing on "interactive computer-based systems which help decision-makers utilize data bases and models to solve ill-structured problems". In the 1980s DSS should provide systems "using suitable and available technology to improve effectiveness of managerial and professional activities", and towards the end of 1980s DSS faced a new challenge towards the design of intelligent workstations.[4] In 1987, Texas Instruments completed development of the Gate Assignment Display System (GADS)...

References: 2. Jump up^ Sprague, R;(1980). “A Framework for the Development of Decision Support Systems.” MIS Quarterly. Vol. 4, No. 4, pp.1-25.
3. Jump up^ Keen, P. G. W. (1978). Decision support systems: an organizational perspective. Reading, Mass., Addison-Wesley Pub. Co. ISBN 0-201-03667-3
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5. Jump up^ Efraim Turban, Jay E. Aronson, Ting-Peng Liang (2008). Decision Support Systems and Intelligent Systems. p. 574.
7. ^ Jump up to:a b c Haettenschwiler, P. (1999). Neues anwenderfreundliches Konzept der Entscheidungsunterstützung. Gutes Entscheiden in Wirtschaft, Politik und Gesellschaft. Zurich, vdf Hochschulverlag AG: 189-208.
8. ^ Jump up to:a b c Power, D. J. (2002). Decision support systems: concepts and resources for managers. Westport, Conn., Quorum Books.
9. Jump up^ Stanhope, P. (2002). Get in the Groove: building tools and peer-to-peer solutions with the Groove platform. New York, Hungry Minds
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11. Jump up^ Power, D. J. (1996). What is a DSS? The On-Line Executive Journal for Data-Intensive Decision Support 1(3).
12. ^ Jump up to:a b Sprague, R. H. and E. D. Carlson (1982). Building effective decision support systems. Englewood Cliffs, N.J., Prentice-Hall. ISBN 0-13-086215-0
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14. ^ Jump up to:a b Marakas, G. M. (1999). Decision support systems in the twenty-first century. Upper Saddle River, N.J., Prentice Hall.
15. ^ Jump up to:a b Holsapple, C.W., and A. B. Whinston. (1996). Decision Support Systems: A Knowledge-Based Approach. St. Paul: West Publishing. ISBN 0-324-03578-0
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17. Jump up^ F. Burstein, C. W. Holsapple (2008). Handbook on Decision Support Systems. Berlin: Springer Verlag.
18. Jump up^ Wright, A; Sittig, D (2008). "A framework and model for evaluating clinical decision support architectures q". Journal of Biomedical Informatics 41: 982–990.
21. Jump up^ Stephens, W. and Middleton, T. (2002). Why has the uptake of Decision Support Systems been so poor? In: Crop-soil simulation models in developing countries. 129-148 (Eds R.B. Matthews and William Stephens). Wallingford:CABI.
Jintrawet, Attachai (1995). A Decision Support System for Rapid Assessment of Lowland Rice-based Cropping Alternatives in Thailand. Agricultural Systems 47: 245-258.
Matsatsinis, N.F. and Y. Siskos (2002), Intelligent support systems for marketing decisions, Kluwer Academic Publishers.
Power, D. J. (2000). Web-based and model-driven decision support systems: concepts and issues. in proceedings of the Americas Conference on Information Systems, Long Beach, California.
Sauter, V. L. (1997). Decision support systems: an applied managerial approach. New York, John Wiley.
Silver, M. (1991). Systems that support decision makers: description and analysis. Chichester ; New York, Wiley.
Sprague, R. H. and H. J. Watson (1993). Decision support systems: putting theory into practice. Englewood Clifts, N.J., Prentice Hall.
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