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)
Human resource management strategy refers to efficiently managing staff in an organization to gain a competitive advantage in business. Human resource departments play a key role in handling various aspects such as employee benefits, recruitment, training and development, performance evaluations, and reward management, including pay and benefits systems. The project explores Human Resource Management Strategy to identify ways to maximize employee productivity by improving their happiness, motivation, and satisfaction level. The study was conducted on 30 employees of an HR Services Company.
Percentage analysis and T-Test were used for data analysis and interpretation. Most respondents have agreed or strongly agreed that Human Resource Management strategies maximize employee productivity concerning employee happiness, motivation, and satisfaction.
Keywords:
Human Resource Management (HRM) Strategy, Employee Productivity, Employee happiness, Employee motivation, Employee satisfaction, HR Services Company
Cite Article:
"A STUDY OF THE HUMAN RESOURCE STRATEGY OF HR SERVICES COMPANY AND ITS IMPACT ON EMPLOYEE PRODUCTIVITY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e565-e572, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304480.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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