Title of article :
Designing an OJT-Model and Testing it to Promote and Improve Staff's Performance(Case: Iran Forensic Medicine Organization)
Author/Authors :
Mohammadi, Zahra Educational Administration - Islamic Azad University, West Tehran Branch , Rezghi Shirsavar, Hadi Department of Management - Islamic Azad University, West Tehran Branch , Sadegh Ziaeiy, Mohammad Department of Management - Islamic Azad University, West Tehran Branch , Hashem Nia, Shahram Department of Management - Islamic Azad University, West Tehran Branch
Abstract :
One of the traits of excellent organizations is to effectively use staff that
present desirable performance and have engagement towards their
organizations while trying to promote their knowledge, skill, and attitude and
the other employees to solve issues and problems in working context. The aim
of this research is to design an on-The- Job Training(OJT) Model and test it to
promote and improve staff's performance 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
questionnaires including OJT and performance improvement parameters.
Face-related and constructive validity of the questionnaires were approved by
elite and experts while using Cronbach's Alpha Coefficient showed an
acceptable reliability, respectively 0.89 and 0.87. Some appropriate statistical
indices were used to analyze the gathered data including frequency, Mean,
SD, Pearson's Correlation Coefficient, and SEM. Findings show that there isa
positive significant relationship between OJT's indices including need
assessment, aims and priorities, content, planning and implementation, way of
evaluation, executive management, facilities and equipment, technology and
learners with PI's factors including job performance, individual performance,
and organizational performance. Also, findings show that the best predictor is
modern technology for PI regarding OJT-based model
Keywords :
OJT- Based Model , Performance , Improvement , Staff , IFMO
Journal title :
Astroparticle Physics