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Models Of Classes For Economic Objects In Applications

Author

Listed:
  • DănuÅ£-Octavian SIMION

    (Athenaeum University, Bucharest, Romania)

  • Emilia VASILE

    (Athenaeum University, Bucharest, Romania)

Abstract

The paper presents the models of classes for economic objects in applications. In most cases, the economic objects have an abstract definition and so the optimal ways to describe these are interfaces used by economic applications. The information system is an information system that allows the performance of operations of collection, transmission, storage, data processing and dissemination of information thus obtained through the use of information technology and staff specialized in automatic data processing. The computer system includes all internal and external information, formal or informal used within the company as well as the data on which they were obtained, the software necessary for data processing and dissemination of information within the organization, procedures and techniques for obtaining (based on primary data) and disseminating information, the hardware platform necessary for data processing and information dissipation and staff specialized in data collection, transmission, storage and processing. The interfaces provided for classes can be extended according with the business requirements and may be changed easily for different types of activities.

Suggested Citation

  • DănuÅ£-Octavian SIMION & Emilia VASILE, 2020. "Models Of Classes For Economic Objects In Applications," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 59(3), pages 9-22, September.
    • Handle: RePEc:ath:journl:v:59:y:2020:i:3:p:9-22
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    More about this item

    Keywords

    interfaces; implemented classes; economical modules; informational support; business flows; application modules; extended classes;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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