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)
The research aims to study if ‘remuneration’ as a tool can increase employee performance in a tea estate – specific to the Gulma tea estate. The research used structured questionnaires to collect responses and draw information from the secondary data sourced from the Gulma tea estate. The critical contribution of the research is that a positive correlation was found between remuneration and employee performance. The remuneration paid to the tea garden employee is essentially basic, as mandated by the competent authority with no scope for improvement. In such a scenario, a delta change in the remuneration augments productivity in the employees. This research results will help the management to strategize production to achieve the targets. Most importantly, this study can help other tea gardens to strategize the right path forward to optimize their production capacity.
Keywords:
Human resource, remuneration/Compensation, Organization, Management, Compensation benefits, organization productivity.
Cite Article:
"Remuneration as a Tool for Increasing Employee Performance in the Tea Estate – an Extensive study on Gulma Tea Estate", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.c146-c152, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402215.pdf
Downloads:
000118770
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
Facebook Twitter Instagram LinkedIn