An assessment of the relevance of automation system on employees' efficiency in a software company

Abstract

This study seeks to assess the relevance of automation system on employees’ efficiency in a software company. The study had been conducted from April 2023 to May 2024. The software company had a total of 104 software engineers. The study employed a sampling method of complete enumeration. The researchers had used a researcher-made instrument and had it validated by three experts from the fields of automation engineering, human resource management, and research and statistics. The statistical tools that used in analyzing the obtained data were frequency counts, percentage analysis, mean, and standard deviation, as well as inferential analyses tests including Wilcoxon-Mann-Whitney test for independent samples, Kruskal-Wallis, and the Pearson’s Chi- square Correlation. The .05 alpha level had been used as the criterion for the acceptance or rejection of the null hypotheses. The results of descriptive data analysis indicate that the majority of employees in the company acknowledge the improvement in work efficiency brought about by automation systems. Overall, stakeholders' evaluations across diverse employee profiles, including age, gender, marital status, overall work experience, and company tenure, showed no significant differences in their perceptions of the automation system's relevance. This encompassed assessments of its usefulness, ease of use, system quality, information quality, and task-technology fit. Similarly, there were no discernible variations in stakeholders' evaluations of Static Efficiency and Dynamic Efficiency, both regarded as indicators of work efficiency, across employee profiles. Moreover, the study revealed a positive and significant correlation between stakeholders' assessments of the automation system's relevance and their evaluations of work efficiency. Specifically, perceptions of usefulness, ease of use, system quality, information quality, and task-technology fit were positively associated with both Static Efficiency and Dynamic Efficiency. This indicated a coherent relationship between system relevance and work efficiency. The findings of this study are promising and may contribute to the improvement of automation systems within companies, ultimately enhancing employee work efficiency.