Artificial Intelligence and Job Performance: A Case Study on Its Effects on Employees in a Cargo Transport Organization

Chabelita Leornas Lunzaga; Fritzie Maghanoy Segura; Monsour Pelmin

doi:10.36948/ijfmr.2025.v07i06.65057

Artificial Intelligence and Job Performance: A Case Study on Its Effects on Employees in a Cargo Transport Organization

Author(s)	Ms. Chabelita Leornas Lunzaga, Ms. Fritzie Maghanoy Segura, Dr. Monsour Pelmin
Country	Philippines
Abstract	Artificial Intelligence (AI) continuously transforms how organizations operate by enhancing decision-making, automating routine tasks, and improving overall accuracy. This study examined the relationship between Artificial Intelligence (AI) utilization and job performance of employees at SMTI Cargo Transport, a logistic company that has begun integrating AI tools into its daily operations. A quantitative descriptive–correlational design was employed, and data were collected from 34 employees using a structured questionnaire adapted from validated instruments on technology acceptance and work performance. This study used frequency and percentage, weighted mean and Spearman’s rho correlation to determine the relationship between the two variables. Results showed that employees generally hold positive perceptions of artificial intelligence, rating it highly in terms of usefulness, ease of use, and overall acceptance. Their job performance—including task performance, contextual performance, and counterproductive work behavior—was also reported as satisfactory. However, the Spearman’s rho correlation analysis revealed that there is no significant relationship between AI utilization and job performance (ρ = –0.005, p = 0.976). This finding indicates that the use of AI tools alone does not significantly influence employees’ job performance. Although AI systems are already embedded in work processes, their effectiveness in enhancing performance appears to depend on other factors such as employee training, task–technology fit, skills development, and organizational support. Overall, this study concludes that AI should be viewed as a supportive tool rather than a standalone determinant of job performance. The findings provide useful insights for SMTI Cargo Transport management in improving AI implementation strategies and highlight the need for future research to explore additional variables that may affect employee performance. By addressing these factors, SMTI can better support its workforce and maximize the potential benefits of AI as it continues to modernize its operations.
Keywords	Artificial Intelligence, Job Performance, Logistics Operations
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-31
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.65057

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Artificial Intelligence and Job Performance: A Case Study on Its Effects on Employees in a Cargo Transport Organization

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