286
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Factors influencing whistle-blowing in the Iranian health system

, &
Pages 177-192 | Published online: 16 Nov 2017
 

ABSTRACT

The purpose of this study is to investigate the factors that contribute whistle-blowing in the Iranian health system and also to develop a model for these factors. Four factors were identified by reviewing the relevant literature including organizational culture factors, organizational factors, materiality of wrongdoing, and individual factors. Because of the local focus of this study, the items of each contributing factor were identified by employing Delphi method. Delphi method was conducted four times and 33 items. Subsequently, the model of factors was designed by DEMATEL technique for the first time in the Iranian context. To test the model, a questionnaire with 52 questions was designed, validated, and distributed among target population. Afterward, the model was tested by applying SEM. The final results indicated that the organizational culture, organizational factors, and materiality of wrongdoing have affected whistle-blowing significantly. However, the effect of individual factor was not significant.

Notes

1. Decision Making Trial and Evaluation Laboratory.

2. Structural Equation Modeling.

3. Content validity ratio.

4. Content validity index.

5. Goodness-of-fit index.

6. Comparative fit index.

7. Incremental Fit Index.

8. Tucker–Lewis Index.

9. Root mean square error of approximation.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 208.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.