Open AccessInvestigating the Relationship between Professionalism and (Technical, Human, and Perceptual) Skills of Managers in Poly Akril Company of Iran from Experts’ Viewpoint
Author(s) -
Marzie Ghanbari,
Rezā Hoveidā,
Seyed Ali Siadat
Publication year - 2016
Publication title -
international journal of human resource studies
Language(s) - English
Resource type - Journals
ISSN - 2162-3058
DOI - 10.5296/ijhrs.v6i2.9429
Subject(s) - psychology , descriptive statistics , stratified sampling , sample (material) , statistics , test (biology) , reliability (semiconductor) , population , perception , statistical population , sample size determination , data collection , simple random sample , validity , applied psychology , pearson product moment correlation coefficient , medical education , mathematics , clinical psychology , demography , psychometrics , medicine , sociology , paleontology , power (physics) , chemistry , physics , chromatography , quantum mechanics , neuroscience , biology
The objective of the present study is to investigate the relationship between managers’ professionalism and (technical, human, and perceptual) skills in managers of Iran Poly Akril Company. The research is an applied one in terms of objectives, and a descriptive-correlational in terms of method. The population includes all experts working in the company in 2012 as 240 individuals among who 144 participants were selected using the stratified random sampling method proportionate to the population size as the sample size. The data collection instruments were two researcher-made questionnaires of Managers’ skills containing 22 items and with the reliability coefficient as 0.96, and Professionalism containing 28 items and the reliability coefficient as 0.95. Their validity was investigated and confirmed by professors and experts of management. Analyzing data was conducted at the two level of descriptive statistics (frequency, mean, SD, and presentation of tables and charts) and inferential statistics (one sample t-test, correlation coefficient, regression coefficient, ANOVA, and F-test).