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Employee Performance Distributions: Analysis of Motivation, Organizational Learning, Compensation and Organizational Commitment

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.4, pp.57-67
https://doi.org/https://doi.org/10.15722/jds.21.04.202304.57
Astri Ayu PURWATI
William WILLIAM
Muhammad Luthfi HAMZAH
Rosyidi HAMZAH

Abstract

Purpose: This study aims to measuring the employee performance distributions of company in using relationship analysis between motivation, organization learning, compensation, and Organizational commitment. Research design and methodology: The study was conducted on 102 employees as a sample. Data were analyzed using Path Analysis in Structural Equation Modeling (SEM) with PLS. Results: the research result has shown that motivation and compensation have a positive significant effect on organizational commitment. While organizational learning has negative and insignificant effect on organizational commitment. Furthermore, motivation, organizational learning and motivation have no significant effect on employee performance distribution and organizational commitment has a positive significant effect on employee performance distribution. Results for mediating effect has obtained where organizational commitment mediates the effect of motivation and compensation on employee performance distribution, but cannot mediate the effect of organizational learning on employee performance distribution. Conclusion: Organizational commitment in this study can make employees feel comfortable and attached to the company so that employees can perform well to achieve company goals. Motivation and compensation are driving factors in improving employee performance distribution and will achieved if employees have good organizational commitment. In this study, organizational learning is not an important factor in improving employee performance distribution.

keywords
Motivation, Organizational Learning, Compensation, Employee Performance Distribution

The Journal of Distribution Science