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Hossein Dargahi, Golsa Shaham,
Volume 8, Issue 4 (11-2015)
Abstract

Emphasis on the organizational commitment of employees is a soft management technique to enhance performance and efficiency. This study aimed to determine the relationship between organizational commitment in the employees of Tehran University of Medical Sciences (TUMS) and their tendency to display non-ethical behavior.

This study was a descriptive analytical and cross-sectional research conducted on the headquarters employees of Tehran University of Medical Sciences during 2013 and 2014. A sample size of 150 employees was determined using the Cochran formula. Research tools consisted of a researcher-made questionnaire measuring non-ethical behavior, and Allen & Meyer’s Organizational Commitment Scale. The validity and reliability of both questionnaires were confirmed. The response rate was 85%. Data were collected using the SPSS software, and Pearson’s statistical methods were applied.

The average organizational commitment of the employees in this study was 62.32, which is considered as moderate. It should be added that the majority of the employees did not demonstrate a tendency for non-ethical behavior.

Although the average organizational commitment was not high in TUMS employees, it was not correlated to their non-ethical behavior tendency. It seems that the organizational commitment of TUMS employees is influenced by other factors such as supervisor and organizational ethics, which can be the subject of future studies.


Khadije Mohammadi, Abbas Rahimi Froshani,
Volume 13, Issue 0 (3-2020)
Abstract

One of the main issues in hospitals is evaluation of efficiency and effectiveness. For this purpose, several indicators are presented, which are known as functional indicators. If the performance of hospitals depends on the patient's demographic characteristics, overlooking effect of hospital indicators, as an effective factor at a higher level on the patient rights, may lead to inaccurate conclusions about these relationships. In such cases, where the data are intrinsically multilevel, the use of multi-level statistical models for this type of data is useful. Samples were collected from eight hospitals of Tehran University of Medical Sciences during 2013 in a two stage cluster. Data on patient rights and demographic information were collected from 375 patients by a questionnaire. The patient's rights rate was measured by multivariate statistical analysis and factor analysis. Two-level linear regression models were used to examine the relationship between patients' rights and some demographic information. The first level was demographic factors and the second level was hospital factors. The results showed that rate of considering patients' rights in hospitals were in moderate level. About 16% of the variance of the dependent variable of patient's rights, which was significant, is due to variations at the higher level of the hospital and other variations at the individual level. Furthermore, variables of bed occupancy, complaint rate, and hospital escape rate at the higher level (Hospital) have a significant impact on the patient's rights.


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