Impact of Age, Gender and Job Satisfaction on Employee Engagement in the IT sector
Sadhna Sudershana1, Ipseeta Satpathy2, B.C.M Patnaik3
1Sadhna Sudershana*, KIIT School of Computer Applications, KIIT University Bhubaneswar, Odisha, India.
2Dr. Ipseeta Satpathy, Professor, KIIT School of Managemen, KIIT University, Bhubaneswar, Odisha, India.
3Dr. B.C.M Patnaik Associate Professor, KIIT School of Management, KIIT University, Bhubaneswar, Odisha, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 4841-4845 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7816129219/2019©BEIESP | DOI: 10.35940/ijitee.B7816.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The present analysis has been conducted to understand the influence of job satisfaction, gender and age on the employee engagement levels in the Information and Technology sector. 196 bona fide questionnaire responses were received from two Information Technology (IT) firms in Odisha, India to perceive the impact of factors like job satisfaction, age and gender on the work commitment levels of employees. Correlation analysis was done to unravel the interrelationship linking gender, age and job satisfaction. The findings indicated that there was no effect of gender or age on the engagement of employees in the IT sector. Gender and age were independent of each other but influenced the Job satisfaction of the employees in the IT area. The goodness of fit was calculated for the dataset by doing the chi square test. Based on the values, for the first and the second hypothesis the null hypothesis was rejected and the alternative was selected. For the third hypothesis the null hypothesis was accepted. This showed that age and gender do not have a major impact on engagement in IT employees. But job satisfaction has a positive association with employee engagement. Regression analysis was also carried out to check the relationship between age and gender which are the independent variables with job satisfaction which is dependent. It was concluded that there is a 50% association between the independent and dependent variables. Thus organizations should make sure that the work culture is a healthy mix of the right elements so that a diverse taskforce is always driven to work and shares mutual goals with the organization.
Keywords: Age, Employee Engagement, Gender, Information Technology sector, Job profile, Job satisfaction.
Scope of the Article: Neural Information Processing