Examination of Auditor Acceptance of Dysfunctional Behavior Using a Heuristic Model
| Autor: | Forough Heyrani, Hasan Dehghan Dehnavi, Zahra Ghorbanpour |
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| Rok vydání: | 2014 |
| Předmět: |
Actuarial science
Statistical population Applied psychology Walk-through test Dysfunctional behavior organizational commitment auditor performance mandatory rotation heuristic model regression quoted companies in stock exchange ComputingMilieux_LEGALASPECTSOFCOMPUTING Audit Organizational commitment Psychology Simple random sample Structural equation modeling Confirmatory factor analysis LISREL |
| Zdroj: | International Journal of Academic Research in Accounting, Finance and Management Sciences. 4(1):41-51 |
| Popis: | The current study has been designed and implemented with the goal of examining organizational characteristics using a heuristic model that helps distinguish auditors in terms of the acceptance of dysfunctional behaviors. This conceptual model is consisted of parameters including locus of control, acceptance of dysfunctional behavior, mandatory rotation, organizational commitment and auditor performance. Data were collected using Smith's standardized questionnaire, which was validated through the use of the factor analysis as well as the viewpoints of experts. The research was a descriptive correlational study whose data were analyzed using the structural equation model. The statistical population included all audit executives (senior auditors, audit supervisors and senior audit supervisors) with the audit firms of the official auditors associations of Tehran and Shiraz (including private audit firms as well as the Audit Organization). The sampling method was the simple random sampling which covered 620 auditors. Some 250 questionnaires were distributed finally. The collected date were primarily calculated with the SPSS software and analyzed by the confirmatory factor analysis to verify proper parameters and omit poor parameters. Also, the LISREL software was employed to find the optimal path through the variables. |
| Databáze: | OpenAIRE |
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