An Empirical Study To Know The Impact Of Training On Employee Performance In The Automobile Industry: A Structural Equation Modelling Approach Using AMOS

This study aims to investigates the key factors influencing employee performance within the automobile industry using a structural equation modelling (SEM) approach. Illustration on theoretical outlines related to human resource development, work environment, job satisfaction, organizational practices, leadership, and employee accountability, the research aims to identify and quantify the impact of these variables on employee performance. Data were collected through a self-designed structured questionnaire and analysed using confirmatory factor analysis (CFA) and SEM techniques to validate the measurement and structural models. The findings tell that job satisfaction and organizational practices are the most significant interpreters of employee performance, while employee accountability has the least impact. Model fit indices indicate a good fit, supporting the reliability and validity of the proposed model. These insights provide valuable guidance for HR professionals and management in the automobile sector to develop strategies that improve workforce effectiveness and organizational success.

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Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-06-22
DOI
https://doi.org/10.64252/j07rkj56
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

An Empirical Study To Know The Impact Of Training On Employee Performance In The Automobile Industry: A Structural Equation Modelling Approach Using AMOS

Deepak Saxena, Prafulla Chandra Dhar
1 links
International Journal of Environmental Sciences
Efficiency Analysis Using DEA
article

An Empirical Study To Know The Impact Of Training On Employee Performance In The Automobile Industry: A Structural Equation Modelling Approach Using AMOS

Deepak Saxena, Prafulla Chandra Dhar
article en

Abstract

This study aims to investigates the key factors influencing employee performance within the automobile industry using a structural equation modelling (SEM) approach. Illustration on theoretical outlines related to human resource development, work environment, job satisfaction, organizational practices, leadership, and employee accountability, the research aims to identify and quantify the impact of these variables on employee performance. Data were collected through a self-designed structured questionnaire and analysed using confirmatory factor analysis (CFA) and SEM techniques to validate the measurement and structural models. The findings tell that job satisfaction and organizational practices are the most significant interpreters of employee performance, while employee accountability has the least impact. Model fit indices indicate a good fit, supporting the reliability and validity of the proposed model. These insights provide valuable guidance for HR professionals and management in the automobile sector to develop strategies that improve workforce effectiveness and organizational success.

International Journal of Environmental Sciences
Openalex Percentile: Top 81%
Efficiency Analysis Using DEA
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