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Management Based on Data Analysis. Part Two. Artificial Intelligence Data Modeling

Author

Listed:
  • Constantin Ilie

    (“Ovidius†University of Constanta)

  • Andreea-Daniela Moraru

    (“Ovidius†University of Constanta)

Abstract

The use of the artificial neural networks in management is common. Employing artificial intelligence allows businesses to gain a commercial advantage. The objective of the present paper is to apply an artificial neural network as a modeling and simulation technique, to determine the importance of influences of four input data on the output data in human resources evaluation. The data are organized in 14,999 datasets: satisfaction level of the employee, the average monthly hours worked, the project number that the employee participated in, and time spent by company for employee care. The used neural network is of feed forward type, with three layers (1 input, 1 hidden, 1 output) and with 9 (13) hidden neurons. Several functions for activation and solver were applied for finding the most accurate one. The simulations concluded that the most important influence is that of the average monthly hours followed closely by the employee level of satisfaction.

Suggested Citation

  • Constantin Ilie & Andreea-Daniela Moraru, 2021. "Management Based on Data Analysis. Part Two. Artificial Intelligence Data Modeling," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 743-748, December.
    • Handle: RePEc:ovi:oviste:v:xxi:y:2021:i:2:p:743-748
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    More about this item

    Keywords

    management; artificial neural networks; human resources; evaluation;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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