{"title":"情绪智力和人格特质对IT员工工作绩效的影响","authors":"P. Dhani, T. Sharma","doi":"10.4018/IJHCITP.2018070105","DOIUrl":null,"url":null,"abstract":"The chief aim of this article is to examine the emotional intelligence (EI) and personality traits as the predictors of job performance of IT employees in India. To obtain this, the data was collected from 158 middle management employees working in Indian IT sector through random sampling method with the help of three scales such as DKEIT, JPI, and MPI. After data collection, the study carried out a different statistical analysis which includes frequency, correlation and regression analysis through SPSS 23.0 version. The study findings reported that both EI and Personality Traits impact the performance of job of IT employees, i.e. both Personality Traits and EI operate as a predictor of Job Performance of Indian IT employees. Based on which, the article gives few recommendations to future researchers.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Emotional Intelligence and Personality Traits as Predictors of Job Performance of IT Employees\",\"authors\":\"P. Dhani, T. Sharma\",\"doi\":\"10.4018/IJHCITP.2018070105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The chief aim of this article is to examine the emotional intelligence (EI) and personality traits as the predictors of job performance of IT employees in India. To obtain this, the data was collected from 158 middle management employees working in Indian IT sector through random sampling method with the help of three scales such as DKEIT, JPI, and MPI. After data collection, the study carried out a different statistical analysis which includes frequency, correlation and regression analysis through SPSS 23.0 version. The study findings reported that both EI and Personality Traits impact the performance of job of IT employees, i.e. both Personality Traits and EI operate as a predictor of Job Performance of Indian IT employees. Based on which, the article gives few recommendations to future researchers.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJHCITP.2018070105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJHCITP.2018070105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Emotional Intelligence and Personality Traits as Predictors of Job Performance of IT Employees
The chief aim of this article is to examine the emotional intelligence (EI) and personality traits as the predictors of job performance of IT employees in India. To obtain this, the data was collected from 158 middle management employees working in Indian IT sector through random sampling method with the help of three scales such as DKEIT, JPI, and MPI. After data collection, the study carried out a different statistical analysis which includes frequency, correlation and regression analysis through SPSS 23.0 version. The study findings reported that both EI and Personality Traits impact the performance of job of IT employees, i.e. both Personality Traits and EI operate as a predictor of Job Performance of Indian IT employees. Based on which, the article gives few recommendations to future researchers.