Open AccessIdentifying and Prioritizing the Factors Affecting Happiness among Ceiling Cranes Staff of Isfahan Mobarakeh Steel Company
Author(s) -
ایمان شاکری,
رضا قربانیان,
حسین سماواتیان,
ابوالقاسم نوری
Publication year - 2020
Publication title -
bihdāsht-i kār va irtiqā-yi salāmat/bihdāsht-i kār va irtiqā-yi salāmat
Language(s) - English
Resource type - Journals
eISSN - 2588-3062
pISSN - 2588-2643
DOI - 10.18502/ohhp.v4i3.4659
Subject(s) - happiness , psychology , neuroticism , extraversion and introversion , social psychology , job satisfaction , descriptive statistics , regression analysis , applied psychology , personality , big five personality traits , mathematics , statistics
Introduction: The achievements of happiness at work have been so significant and effective that it has convinced many organizations to mention the applications of happiness at work as a new and efficient approach to create a sustainable competitive advantage for organizations. It is essential to examine the factors that increase happiness. This research aims to identify and prioritize the factors affecting the happiness among the ceiling cranes staff of Isfahan Mobarakeh Steel Company.
Methods: This research is a descriptive-analytical study. The statistical sample of the study consisted of 120 randomly selected employees of Mobarakeh Steel ceiling cranes. To measure variables used, the Oxford Happiness Questionnaire, the NEO Personality, Walton's Quality of Work Life, General Health, and Demographic Questionnaires. Data analysis used the Pearson correlation coefficients, Spearman, One-way analysis of variance (ANOVA), stepwise & moderated regression analysis.
Results: The findings showed a significant positive relationship between employee happiness and extraversion and a significant negative relationship between employee happiness and neuroticism (p<0/05). Also, a significant relationship between the components of the quality of work-life and happiness was found (p<0/01). Components of GHQ showed a negative correlation with employee happiness (p<0/01). There was no significant relationship between demographic variables and happiness. Regression analysis showed that general health, the quality of working life, and some demographic variables had the highest share in predicting the staff’s happiness, respectively.
Conclusion: The results showed that the components of the quality of working life and general health have an essential role in predicting happiness.