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Decision Support Systems: Present And Future Trends

Author

Listed:
  • MANOLE VELICANU

    () (Informatics in Economy Department, Academy of Economic Studies, Bucharest, Romania)

  • GHEORGHE MATEI

    () (Romanian Commercial Bank, Accounting Division, Bucharest, Romania,)

Abstract

As competition gets tougher and tougher, companies have to implement new management systems to stay efficient. Along business performance monitoring application, executive information systems, business intelligence systems and decision support systems (DSS) help managers to lead their companies successfully and survive into the future. They are interactive, flexible and adjustable systems that offer support in solving unstructured or semistructured management problems, meant to improve the decision process. They are developed to assist the tactical and strategic level of management. The classic architecture of a DSS contains the database management system, the model base management system and the interface management system. The evolved DSS have also a knowledge component that provides the information needed for solving certain aspects of the problems. According to D. J. Power, at a conceptual level the DSS can be classified into the following categories: data-driven systems, model-driven systems, knowledgedriven systems, document-driven systems, communication-driven systems, intra and inter organizational systems, specialized systems and Web-based systems. At the end of the paper some opinions concerning the future of DSS are presented.

Suggested Citation

  • Manole Velicanu & Gheorghe Matei, 2008. "Decision Support Systems: Present And Future Trends," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
  • Handle: RePEc:bbn:journl:2008_2_6_velicanu
    as

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    File URL: http://tbs.ubbcluj.ro/RePEc/bbn/journl/Negotia_2_2008.pdf
    File Function: Revised version, 2008
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    References listed on IDEAS

    as
    1. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(02), pages 280-310, April.
    2. Myers, Stewart C, 1984. " The Capital Structure Puzzle," Journal of Finance, American Finance Association, vol. 39(3), pages 575-592, July.
    3. Stewart C. Myers, 1984. "Capital Structure Puzzle," NBER Working Papers 1393, National Bureau of Economic Research, Inc.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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    6. Myers, Stewart C., 1984. "Capital structure puzzle," Working papers 1548-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Decision support system; Structured; semistructured and unstructured problems; Database; Model base; Knowledge base; User interface;

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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