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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Published in:International Journal of Research in Counseling and Education
Main Authors: Chinyere Theresa Ogbuanya, Chinedu I. Okeke, Amenger Maashin
Format: Article
Language:English
Published: Universitas Negeri Padang 2022-03-01
Subjects:
Online Access:http://ppsfip.ppj.unp.ac.id/index.php/ijrice/article/view/440
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author Chinyere Theresa Ogbuanya
Chinedu I. Okeke
Amenger Maashin
author_facet Chinyere Theresa Ogbuanya
Chinedu I. Okeke
Amenger Maashin
author_sort Chinyere Theresa Ogbuanya
collection DOAJ
container_title International Journal of Research in Counseling and Education
description 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.
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spelling doaj-art-37e7ea7442ef4d68bc28b1ef942e43fc2025-08-19T21:34:46ZengUniversitas Negeri PadangInternational Journal of Research in Counseling and Education2620-57502620-57692022-03-016111610.24036/00440za000296Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industriesChinyere Theresa Ogbuanya0Chinedu I. Okeke1Amenger Maashin2 University of Free State, South Africa University of Free State, South AfricaDepartment of Industrial Technical Education, University of NigeriaThe 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.http://ppsfip.ppj.unp.ac.id/index.php/ijrice/article/view/440productivitypredictoroccupational stressemotional intelligenceemployeeselectrical industries
spellingShingle Chinyere Theresa Ogbuanya
Chinedu I. Okeke
Amenger Maashin
Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
productivity
predictor
occupational stress
emotional intelligence
employees
electrical industries
title Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
title_full Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
title_fullStr Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
title_full_unstemmed Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
title_short Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries
title_sort emotional intelligence as a predictor of productivity and occupational stress of employees in electrical industries
topic productivity
predictor
occupational stress
emotional intelligence
employees
electrical industries
url http://ppsfip.ppj.unp.ac.id/index.php/ijrice/article/view/440
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AT chineduiokeke emotionalintelligenceasapredictorofproductivityandoccupationalstressofemployeesinelectricalindustries
AT amengermaashin emotionalintelligenceasapredictorofproductivityandoccupationalstressofemployeesinelectricalindustries