The Experts below are selected from a list of 183 Experts worldwide ranked by ideXlab platform
Rajeev Srivastava - One of the best experts on this subject based on the ideXlab platform.
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examining the effect of emotional intelligence on socio Demographic Variable and job stress among retail employees
Cogent Business & Management, 2016Co-Authors: Abhishek Shukla, Rajeev SrivastavaAbstract:AbstractThe purpose of the present study is to explore the relationship between emotional intelligence, socio-Demographic Variable, job stressors and examine the moderating effect of emotional intelligence on the relationship between socio-Demographic Variable and job stress. The data were analyzed on the sample of 564 retail employees using descriptive statistics, Pearson correlations, and hierarchical multiple regression. The result shows that there is a socio-Demographic difference with respect to trait emotional intelligence (EI) and job stress. The proposed model is a good predictor of job stress. Trait EI is more significant influencing factor for job stress than gender, age, marital status, education, annual income and work experience. Specifically, the present study suggests that intervention aimed at reducing job stress if it includes enhancement of employees with high emotional intelligence rather than just decreasing external stressors.
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management research article examining the effect of emotional intelligence on socio Demographic Variable and job stress among retail employees
2016Co-Authors: Abhishek Shukla, Rajeev SrivastavaAbstract:1 Abstract: The purpose of the present study is to explore the relationship between emotional intelligence, socio-Demographic Variable, job stressors and examine the moderating effect of emotional intelligence on the relationship between socio- Demographic Variable and job stress. The data were analyzed on the sample of 564 retail employees using descriptive statistics, Pearson correlations, and hierarchical multiple regression. The result shows that there is a socio-Demographic difference with respect to trait emotional intelligence (EI) and job stress. The proposed model is a good predictor of job stress. Trait EI is more significant influencing factor for job stress than gender, age, marital status, education, annual income and work experi- ence. Specifically, the present study suggests that intervention aimed at reducing job stress if it includes enhancement of employees with high emotional intelligence rather than just decreasing external stressors.
Idowu Oladiran - One of the best experts on this subject based on the ideXlab platform.
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adult learners Demographic Variable as predictor of access and participation in literacy programmes in oyo and ondo states nigeria
Educational Research Review, 2013Co-Authors: Adeshina Abideen, Idowu OladiranAbstract:Literacy is an indispensable foundation that enables young people and adults to engage in learning opportunities at all stages of the learning continuum. Literacy is a prerequisite for the development of personal, social, economic and political empowerment. In Nigeria, attempt to increase access to literacy education for the enhancement of learners’ daily living include establishing State Agencies for Adult and Non-Formal Education. For the dearth of empirical studies, the study examined the influence of Demographic factors on access to basic literacy education as an indicator for participation for lifeimprovement skills of rural adult learners in Oyo and Ondo states. Survey research design of ex-post facto type was adopted and 1,310 adult learners (Oyo: 579, Ondo: 731) were selected through stratified and simple random sampling techniques. Four research questions complimented with Focus Group Discussion (FGDs) were answered. Literacy Access Questionnaire (r = 0.81) was used to gather information while data were analysed using percentage and context analysis. Findings showed that access was expanded by annual average of 15.04% and 35.07% in Oyo and Ondo states respectively. Significant differences existed in the access to literacy programmes from the two states (t = 2.82, df = 1308, p < 0.05). The FGD also shows that the beneficiaries are willing to participate more if the outcome will improve their economic life. There is the need for improved funding of adult basic literacy; increase post literacy activities for sustainability of acquired skills and improve curriculum that meets the basic life needs of learners.
Abhishek Shukla - One of the best experts on this subject based on the ideXlab platform.
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examining the effect of emotional intelligence on socio Demographic Variable and job stress among retail employees
Cogent Business & Management, 2016Co-Authors: Abhishek Shukla, Rajeev SrivastavaAbstract:AbstractThe purpose of the present study is to explore the relationship between emotional intelligence, socio-Demographic Variable, job stressors and examine the moderating effect of emotional intelligence on the relationship between socio-Demographic Variable and job stress. The data were analyzed on the sample of 564 retail employees using descriptive statistics, Pearson correlations, and hierarchical multiple regression. The result shows that there is a socio-Demographic difference with respect to trait emotional intelligence (EI) and job stress. The proposed model is a good predictor of job stress. Trait EI is more significant influencing factor for job stress than gender, age, marital status, education, annual income and work experience. Specifically, the present study suggests that intervention aimed at reducing job stress if it includes enhancement of employees with high emotional intelligence rather than just decreasing external stressors.
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management research article examining the effect of emotional intelligence on socio Demographic Variable and job stress among retail employees
2016Co-Authors: Abhishek Shukla, Rajeev SrivastavaAbstract:1 Abstract: The purpose of the present study is to explore the relationship between emotional intelligence, socio-Demographic Variable, job stressors and examine the moderating effect of emotional intelligence on the relationship between socio- Demographic Variable and job stress. The data were analyzed on the sample of 564 retail employees using descriptive statistics, Pearson correlations, and hierarchical multiple regression. The result shows that there is a socio-Demographic difference with respect to trait emotional intelligence (EI) and job stress. The proposed model is a good predictor of job stress. Trait EI is more significant influencing factor for job stress than gender, age, marital status, education, annual income and work experi- ence. Specifically, the present study suggests that intervention aimed at reducing job stress if it includes enhancement of employees with high emotional intelligence rather than just decreasing external stressors.
Adeshina Abideen - One of the best experts on this subject based on the ideXlab platform.
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adult learners Demographic Variable as predictor of access and participation in literacy programmes in oyo and ondo states nigeria
Educational Research Review, 2013Co-Authors: Adeshina Abideen, Idowu OladiranAbstract:Literacy is an indispensable foundation that enables young people and adults to engage in learning opportunities at all stages of the learning continuum. Literacy is a prerequisite for the development of personal, social, economic and political empowerment. In Nigeria, attempt to increase access to literacy education for the enhancement of learners’ daily living include establishing State Agencies for Adult and Non-Formal Education. For the dearth of empirical studies, the study examined the influence of Demographic factors on access to basic literacy education as an indicator for participation for lifeimprovement skills of rural adult learners in Oyo and Ondo states. Survey research design of ex-post facto type was adopted and 1,310 adult learners (Oyo: 579, Ondo: 731) were selected through stratified and simple random sampling techniques. Four research questions complimented with Focus Group Discussion (FGDs) were answered. Literacy Access Questionnaire (r = 0.81) was used to gather information while data were analysed using percentage and context analysis. Findings showed that access was expanded by annual average of 15.04% and 35.07% in Oyo and Ondo states respectively. Significant differences existed in the access to literacy programmes from the two states (t = 2.82, df = 1308, p < 0.05). The FGD also shows that the beneficiaries are willing to participate more if the outcome will improve their economic life. There is the need for improved funding of adult basic literacy; increase post literacy activities for sustainability of acquired skills and improve curriculum that meets the basic life needs of learners.
Jarrah Almansour - One of the best experts on this subject based on the ideXlab platform.
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The Use of Smartphone for Learning Activities by University Students in Kuwait
2017Co-Authors: Basil Alzougool, Jarrah AlmansourAbstract:There has been a shortage of relevant studies concerning Smartphone usage in Kuwait by people in general and students in particular. The aim of this study was therefore twofold: (i) to explore the use of Smartphone for learning purposes among universities' students in Kuwait and (ii) to identify if there are any socio-Demographic differences in this usage among universities' students. A questionnaire with 376 students was conducted in order to achieve the study objectives. The results showed that generally students always used their Smartphones at their homes and they sometimes used these phones in recreation places and transportation, at university, and while walking. Also, they always used their Smartphones to do ten learning activities namely checking the exams schedule, checking class timetable, checking grades, login to the university portal, using blackboard (LMS), using it to participate in the class learning groups, downloading class material, registering courses, reading tutors' announcements, and payment of fees. Moreover, social networking, learning, privacy, and safety were important reasons for owning/using Smartphones by students. Furthermore, the study found that at least one learning activity that students did using their Smartphones varies according to at least one of seven socio-Demographic Variables (i.e., gender, major, nationality, brand of Smartphone, using it for the first time, age range and level of study). In contrast, one Demographic Variable has no effect on any of the learning activities (i.e., marital status). Several recommendations were suggested based on these findings that may improve the effectiveness of Smartphone usage among universities' students in Kuwait.