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Neural Network-based Evaluation of the Effect of the Motivation of Hospital Employees on Patients’ Satisfaction

Author

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  • Payam Hanafizadeh

    (Allameh Tabataba’i University, Iran)

  • Neda Rastkhiz Paydar

    (Allameh Tabataba’i University, Iran)

  • Neda Aliabadi

    (Allameh Tabataba’i University, Iran)

Abstract

This article evaluates the effect of the motivation of employees on organizational performance using a neural network. Studies show that employee motivation influences organizational performance, particularly in organizations providing services. Methods based on statistical computations like regression and correlation analysis were used to measure the mutual effects of these factors. As these statistical methods necessitate the fulfillment of certain requirements like normally distributed data and because they are not able to express non-linear relations and hidden complicated patterns, a back propagation neural network has been used. The neural network was trained by using data from 300 questionnaires answered by hospital employees and 1933 patients hospitalized in a private hospital in Tehran over three successive months.

Suggested Citation

  • Payam Hanafizadeh & Neda Rastkhiz Paydar & Neda Aliabadi, 2010. "Neural Network-based Evaluation of the Effect of the Motivation of Hospital Employees on Patients’ Satisfaction," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 5(4), pages 1-19, October.
    • Handle: RePEc:igg:jhisi0:v:5:y:2010:i:4:p:1-19
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