A STUDY ON THE EFFECTIVENESS OF AI-SUPPORTED TRAINING AND DEVELOPMENTON EMPLOYEE PRODUCTIVITY AT LUCKY YARN INDIA PVT. LTD., ERODE
Mr.R.Siva Kumar., Assistant Professor (Sl.Gr)
Department of Management Studies. Kangeyam Institute of Technology. Nathakadaiyur.
Email: shivamba07@gmail.com
Ms.C.Anoorgokilavani., II MBA Student
Department of Management Studies. Kangeyam Institute of Technology. Nathakadaiyur.
ABSTRACT
This study examines the effectiveness of AI-supported training and development on employee productivity at Lucky Yarn India Pvt. Ltd., Erode. The research aims to analyze whether modern AI-based training methods contribute to skill enhancement, career improvement, and overall job performance of employees. A descriptive research design was adopted, and primary data were collected from 100 employees using a structured questionnaire through Google Forms, supported by secondary data from journals and company sources. Statistical tools such as percentage analysis, descriptive statistics, correlation, regression, and ANOVA were used for data analysis. The age distribution shows that 73% of respondents belong to the 25–35 age group, while 17% are below 25 years, 8% are between 35–45 years, and only 2% are above 45 years. A majority of employees (86%) agreed that the current training programs improve their career prospects. Descriptive statistics indicate a mean value of 1.95 (SD = 0.575) for age group and 1.58 (SD = 0.496) for the perception that training improves career, showing consistent responses. The Spearman’s correlation coefficient between age group and career improvement perception is 0.005 with a significance value of 0.961, indicating no statistically significant relationship. Regression analysis reveals an R value of 0.004 and R² of 0.000, demonstrating negligible explanatory power, while ANOVA results (F = 0.001, Sig. = 0.972) confirm that age does not significantly influence employees’ views on training effectiveness. Overall, the findings suggest that AI-supported training programs positively influence employee productivity and career development, and their effectiveness is perceived similarly across different age groups. The study concludes that well-designed AI-based training, combined with proper guidance and continuous evaluation, can enhance employee performance and organizational efficiency.
Key Words : AI-Supported Training, Employee Productivity, Training and Development, Career Improvement, Statistical Analysis
