Improvement of employee loyalty as a valuable intangible asset

• Main Authors: Nurliana, Eva, Wahyuningtyas, Ratri
• Format: Conference Proceeding
• Language: English
• Subjects: Data analysis; Operators; Quantitative analysis; Training; Variables; Working conditions; Workload; Workloads
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0182721

Employees who have high loyalty to their work and the organization will have a positive impact on their work and the organization. The initial phenomena found when the decreasing number of operators in the last three years (2019-2021) and the results of an initial survey of operators who generally wanted to rotate to other parts so that there are allegations of the operator’s lack of loyalty to his work. Based on this, it is necessary to know about the variables that affect loyalty. The quantitative approach used to partially determine the relationship between variables is using Structural Equation Modeling-Partial Least Square (SEM-PLS) while for simultaneous data analysis is using IBM SPSS Statistics. The results of quantitative analysis with SEM-PLS shows that the results of the hypothesis test are that the workload variable has a negative significant effect on loyalty and the training variable has also a positive significant effect on loyalty. The results of data analysis with IBM SPSS Statistics show that the variables of workload, work environment and training simultaneously also have a significant effect on loyalty. The results of this study are expected to be used as an evaluation to pay more attention to the proportion of the workload, working environment conditions and the proportion of training for operators which are proven that these three variables can affect the operator’s level of loyalty to his work.