A. Zalza Sabina, M. Ilham Wardhana Haeruddin, Burhanuddin Burhanuddin, Muh. Ichwan Musa, Khaidir Syahrul, Muh. Yushar Mustafa

The Effect of Workload on Employee Performance Through Work Stress as a Mediating Variable In Employees of PT Citilink Sultan Hasanuddin International Airport Makassar

Introduction

The effect of workload on employee performance through work stress as a mediating variable in employees of pt citilink sultan hasanuddin international airport makassar. Investigates workload's effect on employee performance, mediated by work stress, at Citilink Sultan Hasanuddin Airport. Finds workload negatively impacts performance, with stress as a significant mediator.

Abstract

The approach used in this study is quantitative with descriptive and causal design. The population in this study includes individuals whose number is not known for certain. The sample was determined using the saturated or census sampling method, so that 45 respondents were obtained. Data collection was carried out through questionnaires, then analyzed using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) version 3.0 method. The results of the study indicate that: (1) Workload has a negative and significant effect on performance. (2) Workload has a positive and significant effect on work stress. (3) Work stress has a negative and significant effect on performance. (4) Work stress has a negative and significant effect in mediating the influence of workload on performance.

Review

This study addresses a highly pertinent topic concerning the interplay between workload, work stress, and employee performance within a specific organizational context, PT Citilink Sultan Hasanuddin International Airport Makassar. The quantitative approach, employing descriptive and causal designs, along with the sophisticated Structural Equation Modeling-Partial Least Squares (SEM-PLS) analysis, represents a robust methodological choice for examining the proposed mediating relationships. The findings, particularly the negative impact of workload on performance, its positive association with work stress, and the subsequent negative effect of work stress on performance, culminating in a significant mediating role of stress, offer valuable insights for human resource management and organizational psychology. These results have immediate practical implications for the airline industry, which is often characterized by high-pressure environments. While the study's aims and analytical approach are commendable, certain methodological aspects described in the abstract warrant further clarification. The statement that the "population in this study includes individuals whose number is not known for certain," followed by the use of "saturated or census sampling" to obtain 45 respondents, presents a logical inconsistency. If the population size is genuinely unknown, a census is not feasible. Conversely, if the actual population *is* 45 employees at that specific branch, then census sampling is appropriate, but the initial description of an unknown population size is misleading and should be rectified for clarity. Furthermore, while SEM-PLS is generally more accommodating of smaller sample sizes than covariance-based SEM, a sample of 45, especially if the model involves numerous indicators and latent variables (not detailed in the abstract), might still raise questions regarding the statistical power and the generalizability of the findings beyond this specific group of respondents. Despite these methodological points requiring further elucidation, the study's findings are compelling and contribute to the understanding of how occupational stressors can erode employee effectiveness. The clear demonstration of work stress as a significant negative mediator between workload and performance provides a strong empirical basis for organizations like PT Citilink to invest in stress management interventions and workload optimization strategies. For future research, it would be beneficial to explore specific types of stressors or coping mechanisms, possibly through qualitative data collection, to gain a deeper understanding of the processes at play. Additionally, replicating this study with a larger, more diverse sample across different airport departments or even other airline companies could enhance the generalizability of these important findings.

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