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The Structure of Management Decision Systems

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  • Federico Frischknecht

    (University of Buenos Aires, Buenos Aires, Argentina)

Abstract

The informatic approach looks at human thinking, organized activity, electronic data processing and management as symbolic phenomena, whose behavior is regulated by a multiplicity of models and programs, all of them instances of information systems; of course they differ because of the diversity of the hardware employed, and even more because of the enormous variety of problems encountered [Newell, Allen, Herbert A. Simon. 1972. Human Problem solving . Prentice-Hall, Englewood Cliffs, p. 870]. The symbolic solution to problems must be therefore understood along three lines [Newell, Allen, Herbert A. Simon. 1972. Human Problem solving . Prentice-Hall, Englewood Cliffs, p. 789]: (1) Description of problems presented by the task environment; this is the typical area of Operations Research, (2) Description of the man-machine processor, be it a group or an institution; Behavioral Sciences study the human processors, which may be significantly influenced by computer technology, and (3) Description of the program which is gradually compiled by the social processor to adapt itself to a task required by the environment. This is the enormous endevour to be undertaken by Management Science.

Suggested Citation

  • Federico Frischknecht, 1974. "The Structure of Management Decision Systems," Interfaces, INFORMS, vol. 5(1), pages 11-18, November.
  • Handle: RePEc:inm:orinte:v:5:y:1974:i:1:p:11-18
    DOI: 10.1287/inte.5.1.11
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    Cited by:

    1. Grappin, R.J.P., 1977. "Acceleration of test particles in one-dimensional random force fields," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 88(3), pages 435-451.
    2. Shapiro, V.E., 1993. "Kinetic method for waves in random media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 192(3), pages 323-341.
    3. Shapiro, V.E. & Loginov, V.M., 1978. "“Formulae of differentiation” and their use for solving stochastic equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 91(3), pages 563-574.

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