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)
This research paper examines the relationship between Human Resource Development (HRD) practices and employee retention in the Indian IT sector. Drawing on empirical findings and theoretical frameworks, the paper explores the impact of training and development programs, career advancement opportunities, performance management systems, and organizational culture on employee retention. The empirical evidence highlights the positive correlation between investment in HRD initiatives and reduced turnover rates. Theoretical perspectives such as Herzberg's Two-Factor Theory, Equity Theory, and Social Exchange Theory provide insights into the underlying mechanisms driving employee retention. The paper concludes with recommendations for HRD practitioners and organizational leaders to develop tailored retention strategies, emphasizing the importance of fostering a supportive work environment and aligning HRD practices with organizational objectives.
Keywords:
HRD practices, employee retention, Indian IT sector, training and development, career advancement, performance management, organizational culture
Cite Article:
"Human Resource Development Practices and Employee Retention in the Indian IT Sector", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 2, page no.70-77, February-2018, Available :http://www.ijnrd.org/papers/IJNRD1802015.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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