The Impact of Workload on Employee Performance at PT. Arista Auto Prima Pekanbaru

Purpose of the study: This research aims to analyze the influence of workload on employee performance at PT. Arista Auto Prima Pekanbaru, an automotive dealership company in Indonesia. The study examines both quantitative and qualitative workload dimensions and their correlation with various aspects of employee performance. Materials and methods: This quantitative study involved 87 employees from PT. Arista Auto Prima Pekanbaru, selected through proportionate random sampling. Data collection utilized validated questionnaires measuring workload dimensions and performance metrics. The research employed a correlational design with survey methodology. Structural Equation Modeling (SEM) analysis was conducted using SPSS version 26.0. Results: Statistical analysis revealed significant negative correlation between excessive workload and employee performance (r = -0.642, p < 0.01). Time pressure demonstrated the strongest negative impact on work quality (β = -0.573, p < 0.001). However, moderate levels of workload showed optimal performance outcomes, supporting an inverted U-shaped relationship. Department-specific analysis indicated varying workload threshold tolerances across operational units. Conclusions: The findings confirm that excessive workload adversely affects employee performance at PT. Arista Auto Prima Pekanbaru, while appropriate workload distribution enhances productivity. Implementation of workload balancing strategies, clear job descriptions, and supportive organizational culture are recommended for optimal employee performance and organizational success

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Publication Details

Journal
Global Insights in Management and Economic Research
Published
2025-02-27
DOI
https://doi.org/10.53905/gimer.v1i01.1
Primary Topic
Employee Performance and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

The Impact of Workload on Employee Performance at PT. Arista Auto Prima Pekanbaru

Harsa Arif
Global Insights in Management and Economic Research
Employee Performance and Management
article

The Impact of Workload on Employee Performance at PT. Arista Auto Prima Pekanbaru

Harsa Arif
article en

Abstract

Purpose of the study: This research aims to analyze the influence of workload on employee performance at PT. Arista Auto Prima Pekanbaru, an automotive dealership company in Indonesia. The study examines both quantitative and qualitative workload dimensions and their correlation with various aspects of employee performance. Materials and methods: This quantitative study involved 87 employees from PT. Arista Auto Prima Pekanbaru, selected through proportionate random sampling. Data collection utilized validated questionnaires measuring workload dimensions and performance metrics. The research employed a correlational design with survey methodology. Structural Equation Modeling (SEM) analysis was conducted using SPSS version 26.0. Results: Statistical analysis revealed significant negative correlation between excessive workload and employee performance (r = -0.642, p < 0.01). Time pressure demonstrated the strongest negative impact on work quality (β = -0.573, p < 0.001). However, moderate levels of workload showed optimal performance outcomes, supporting an inverted U-shaped relationship. Department-specific analysis indicated varying workload threshold tolerances across operational units. Conclusions: The findings confirm that excessive workload adversely affects employee performance at PT. Arista Auto Prima Pekanbaru, while appropriate workload distribution enhances productivity. Implementation of workload balancing strategies, clear job descriptions, and supportive organizational culture are recommended for optimal employee performance and organizational success

Global Insights in Management and Economic ResearchVol. 1(01)
Islamic University of Riau (ID)
Universitas Islam Riau
Openalex Percentile: Top 72%
Employee Performance and Management
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The Impact of Workload on Employee Performance at PT. Arista Auto Prima Pekanbaru — Harsa Arif · Global Insights in Management and Economic Research (2025) | TGRS Research Map | TGRS