Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries

The study investigated the relationship between emotional intelligence, occupational stress and productivity of employees in electrical industries. Research questions were answered while null hypotheses formulated were tested at 0.05 level of significance. The study adopted a correlational research...

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Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Chinyere Theresa Ogbuanya (Συγγραφέας), Chinedu I. Okeke (Συγγραφέας), Amenger Maashin (Συγγραφέας)
Μορφή: Βιβλίο
Έκδοση: Universitas Negeri Padang, 2022-03-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Chinyere Theresa Ogbuanya  |e author 
700 1 0 |a Chinedu I. Okeke  |e author 
700 1 0 |a Amenger Maashin  |e author 
245 0 0 |a Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries 
260 |b Universitas Negeri Padang,   |c 2022-03-01T00:00:00Z. 
500 |a 10.24036/00440za0002 
500 |a 2620-5750 
500 |a 2620-5769 
520 |a The study investigated the relationship between emotional intelligence, occupational stress and productivity of employees in electrical industries. Research questions were answered while null hypotheses formulated were tested at 0.05 level of significance. The study adopted a correlational research design and was carried out in North Central States of Nigeria. The population for the study was 301 employees in electrical industries. The entire employees were involved in the study. The instrument for data collection was questionnaire titled Emotional Intelligence, Occupational Stress and Productivity Questionnaire (EIOSPQ). Five experts face- validated the instrument. The internal consistency of the questionnaire items was determined using Cronbach alpha reliability method and coefficients of 0.88 was obtained for Electrical Occupational Stress, 0.94 for Productivity of workers in electrical occupation, 0.85 for Emotional intelligence of employees. The overall reliability coefficient of the questionnaire was 0.96. Out of 301 copies of EIOSPQ administered, 295 copies were completed representing 98.01 percent return rate. Pearson product moment correlation and regression analysis were employed to analyse data for answering research questions and hypotheses. The findings on hypotheses revealed that: EI significantly predicts productivity of employees in electrical industries, EI does not significantly predicts occupational stress of employees in electrical industries, emotional intelligence was a significant moderator of the relationship between occupational stress and productivity of employees in electrical industries, demographic variables were not significantly influenced emotional intelligence and productivity of employees in electrical industries. It was recommended that employees in electrical industries should be sensitized through workshops and seminars on how EI can influence their productivity and occupational stress in their occupations. 
546 |a EN 
690 |a productivity 
690 |a predictor 
690 |a occupational stress 
690 |a emotional intelligence 
690 |a employees 
690 |a electrical industries 
690 |a Education 
690 |a L 
655 7 |a article  |2 local 
786 0 |n International Journal of Research in Counseling and Education, Vol 6, Iss 1, Pp 1-16 (2022) 
787 0 |n http://ppsfip.ppj.unp.ac.id/index.php/ijrice/article/view/440 
787 0 |n https://doaj.org/toc/2620-5750 
787 0 |n https://doaj.org/toc/2620-5769 
856 4 1 |u https://doaj.org/article/37e7ea7442ef4d68bc28b1ef942e43fc  |z Connect to this object online.