3rd South American International Conference on Industrial Engineering and Operations Management


0 Paper Citations
Track: Decision Sciences

This study aims to determine and analyze the influence of partial and simultaneous discipline, motivation, and organizational commitment on employee performance. To know and analyze the variables that most significantly affect the employees. Data collection techniques in this study are through questionnaires with respondents 116 employees in analyzing this research data using multiple linear regression analysis methods. The research results can be concluded partially that variable discipline has a significant effect on employee performance while variable motivation and organizational commitment partially have no significant effect on employee performance. Simultaneously, the three independent variables, which are discipline variables, motivation, and organizational commitment, have relationships with dependent variables, that is, employee performance (Y). This can be proven through the value of multiple correlation coefficients (R) equal to 0.182. The research also shows that the relationship of independent variables (discipline, motivation, and organizational commitment) to employee performance (Y) is 54.9%. The variable that has the most significant effect on employee performance is the discipline of work because the value of t count is the greatest. The authors suggest that it should be to find and apply the discipline that can affect the performance of employees is getting better simultaneously with the variable motivation and organizational commitment. In the discipline of work, authors suggest that companies provide training on how to accomplish work together in teams, organize events outside of work activities that bring together and familiarize employees, and reward teams for the best performing teams so that motivation and commitment organizations increase and positively affect employee performance.

Published in: 3rd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: May 10-12, 2022

ISBN: 978-1-7923-9159-0
ISSN/E-ISSN: 2169-8767