INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Employee retention has become a significant concern for organisations globally. Any organisation cannot afford to lose its key performers since human capital is one of its most valuable assets. When an employee exits the organisation, it causes a loss of investments in terms of time and money. Therefore, it becomes important for the employer to recognize the factors that influence employees' decision-making to stay in the organisation. This paper is focused on IT sector and makes an attempt to identify the factors that contribute to an effective retention practice. For this purpose, primary data collection method was used. The data was gathered by distributing a questionnaire, to 30 employees randomly selected from different IT companies and conclusions were drawn. From the results of the study, it can be concluded that fair compensation plays a significant role in the retention of key employees. Furthermore, factors like employer and employee relationships, career advancement, adequate training and development, and organisational support all contribute to the retention of the key performers.
Keywords:
Employee retention and employee retention practices.
Cite Article:
"Employee Retention Practices in IT Sector", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 7, page no.169-174, July-2022, Available :http://www.ijnrd.org/papers/IJNRD2207021.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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