Identifying On-the-Job Training indices and determining their relationship with staff's Performance Improvement (case: Iran Forensic Medicine Organization)

Subject Areas : Education

Zahra Mohammadi ¹ , hadi rezghi shir savar ² , mohammad sadegh ziaee ³ , shahram hashem nia ⁴

1 - Management Department/ Management Faculty/ Islamic Azad University/ West Tehran Branch/ Tehran/ Iran
2 - استادیار، گروه مدیریت، دانشگاه آزاد اسلامی، واحد تهران غرب، ایران
3 - استادیار، گروه مدیریت، دانشگاه آزاد اسلامی، واحد تهران غرب، ایران
4 - استادیار گروه علوم تربیتی دانشگاه پیام نور تهران، تهران، ایران

Received: 2018-05-29 Accepted : 2019-06-19 Published : 2019-05-22

Keywords: &quot, on-the- job training&quot, , &quot, performance improvement&quot, , &quot, Iran Forensic Medicine Organization&quot, ,

Abstract :

The aim of this research is to identify On-The- Job Training(OJT) indices and determine their relationship with staff Performance Improvement(PI) among staff of Iran Forensic Medicine Organization(IFMO). This is a cross-sectional study which is done based on descriptive and analytical method. The study population is 2800 people working in IFMO in 2017 among which 338 persons were randomly selected based on Cochran's Formula using multi-stage clustering sampling among 15 selected provinces. Data was gathered via two researcher-structured questionnairs including OJT and performance improvement parameters. Face-related and constructive validity of the questionnairs were approved by elite and experts while using Cronbach's Alpha Coefficient showed an acceptable reliability calculated respective 0.89 and 0.87. Correlation Coefficient between 9 identified Indices of OJT with 3 identified factors of PI was approximately calculated 0.77 by which technology and individual performance showed the highest coefficient as 0.92 and 0.96 respectively. Findings showed that there would be a positively significant relationship between OJT's indices including need assessment, aims and priorities, content, planning and implementation, way of evaluation, executive management, facilities and equipments, technology and learners) with PI's factors including job performance, individual performance, and organizational performance. Also, findings showed that the best predictor would be modern technology for PI regarding OJT's indices.

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