Key Employee Retention Imperative: A special focus on demographic, occupational factors and employment levels in IT industry
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Abstract
Employee retention has become a critical issue in the ever-changing information technology (IT) sector, since it has a direct impact on organizational performance and creativity. This study examines the necessity of keeping important personnel, highlighting the contributions of employment levels, occupational traits, and demographic variables. Knowing how different workforce demographics—such as age, gender, and cultural backgrounds—affect employee engagement and loyalty is crucial as the IT industry experiences previously unheard-of growth and competitiveness. The primary objective of this research is to understand employee retention strategies and its association with various factors . 384 samples( employees )were chosen at random from Hyderabad by incorporating simple random sampling technique and Literature based Questionnaire was distributed.. 370 adequately completed questionnaires were gathered (response rate of 95.6%). The data was examined using descriptive statistics of frequency and percentage for demographic and occupational factors. While mean scores were calculated for employee retention. It was found that respondents gave highest preference 4.10 to Career Development Policy followed by Human Resource Management Policy 4.05.X2 square analysis was used to test association between demographic and occupational variables and employee sustenance .While ANOVA was used to understand employee retention across various levels of employment. Chi square results show that no relationship exists among age, status of marriage ,department served, staff stabilty. While there is a significant association among gender, income ,education and staff commitment. ANOVA results show a significant statistical difference at p<0.05 in employee retention for various levels of employment.{f(3,366)=4.43,p=0.04}.
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K. Shailaja, & Dr. Pagadala Suganda Devi. (2024). Key Employee Retention Imperative: A special focus on demographic, occupational factors and employment levels in IT industry. Educational Administration: Theory and Practice, 30(11), 2549–2554. https://doi.org/10.53555/kuey.v30i11.10657
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