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

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Author(s): Payam Hanafizadeh (Allameh Tabataba’i University, Iran), Neda Rastkhiz Paydar (Allameh Tabataba’i University, Iran)and Neda Aliabadi (Allameh Tabataba’i University, Iran)
Copyright: 2012
Pages: 19
Source title: Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-4666-1755-1.ch008

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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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.

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

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