Paper Title

Employee Motivation and Organizational Performance

Authors

Dr.C.JESTINA JEYAKURAI

Keywords

Keywords: Employee Motivation, Organisational Performance, Job Satisfaction

Abstract

Employee motivation is one of the most important factors influencing organisational performance and productivity. Motivated employees contribute positively towards achieving organisational goals through improved efficiency, commitment, and job satisfaction. In the modern business environment, organisations focus on motivational techniques such as incentives, recognition, training, and career development to improve employee performance. This study aims to examine the relationship between employee motivation and organisational performance. The research is based on primary data collected from 50 respondents using a structured questionnaire. Statistical tools such as percentage analysis and chi-square analysis have been applied to interpret the data. The findings reveal that financial rewards, recognition, and career growth opportunities significantly influence employee motivation and improve organisational productivity. The study concludes that effective motivational strategies are essential for organisational success and employee retention.

How To Cite

"Employee Motivation and Organizational Performance", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a224-a228, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606033.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : a224-a228

Other Publication Details

Paper Reg. ID: JETNR_234965

Published Paper Id: JETNR2606033

Downloads: 00080

Research Area: Commerce All

Country: MADURAI, TAMIL NADU, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606033

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606033

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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