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 investigates the correlation between Human Resource Development (HRD) practices and employee retention in the Indian Information Technology (IT) sector. Utilizing a mixed-methods approach, the study examines empirical data from surveys and interviews conducted among IT professionals. The findings reveal a significant positive relationship between participation in training and development programs and lower turnover rates. Moreover, effective performance appraisal systems are shown to mitigate turnover intentions and enhance employee satisfaction. The paper discusses the implications of these findings for HRD practitioners and organizational leaders, emphasizing the importance of aligning HRD strategies with employee needs and organizational goals. Recommendations are provided for enhancing HRD practices and employee retention strategies within the Indian IT sector, aiming to foster a supportive work environment conducive to long-term organizational success.
Keywords:
HRD practices, employee retention, Indian IT sector, training and development, performance appraisal, turnover rates.
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.2, Issue 1, page no.13-20, January-2017, Available :http://www.ijnrd.org/papers/IJNRD1701003.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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