Analyzing the Effect of Performance Appraisal Errors on Perceived Organizational Justice
Ali Nasr Esfahani,
Mehdi Abzari and
Shahzad Dezianian ()
International Journal of Academic Research in Accounting, Finance and Management Sciences, 2014, vol. 4, issue 1, 36-40
Abstract:
The aim of this study was to investigate the relationship between performance appraisal errors and perceived organizational justice. The study took place at North East Railways in Iran. A random sample of 200 employees was selected and 200 questionnaires were distributed, of which 163 were yielded completed. This research was conducted using two separate instruments. The reliability of these questionnaires has been found to be satisfactory (0.896 and 0.718). Structural Equation Modeling (SEM) was conducted to test the hypothesis and to examine the relationships between the performance appraisal errors and organizational justice. The result showed performance appraisal errors have a strong in?uence on perceived organizational justice with a signi?cant path coefficient at -0.68.
Keywords: Performance appraisal errors; distributive justice; procedural justice; interactional justice (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hrmars.com/hrmars_papers/Article_04_Analyzi ... rmance_Appraisal.pdf (application/pdf)
http://hrmars.com/hrmars_papers/Article_04_Analyzi ... rmance_Appraisal.pdf (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hur:ijaraf:v:4:y:2014:i:1:p:36-40
Access Statistics for this article
More articles in International Journal of Academic Research in Accounting, Finance and Management Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().