The Application of Artificial Intelligence in Human Resource Management for Remote Workers

2024-05-29
Published
21-31
Pages
OPEN
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YR
Yulianita Rahayu
Universitas Islam Nusantara, Indonesia
JZ
Juju Zuhriatusobah
Universitas Islam Nusantara, Indonesia
AA
Aisah Aisah
Universitas Islam Nusantara, Indonesia
AP
Arie Soleh Permana
Universitas Islam Nusantara, Indonesia
Abstract

Purpose: This study aimed to determine the application of artificial intelligence (AI) in human resource management (HRM) for remote workers in Indonesia.

Research Methodology: The research method used is quantitative descriptive and verification, with data collection techniques through observation, interviews, and questionnaires. The sample in this study was rookie hosts at PT Kurnia Bumi Raya Manajemen, with 157 respondents. The data analysis technique used statistical applications in the form of SPSS.

Results: Based on the data analysis results, digital literacy has a positive and significant effect on productivity. However, technostress has no effect on remote worker productivity. The Simultaneous Significant Test results show that digital literacy and technostress simultaneously have a significant effect on productivity.

Conclusions: The results showed that digital literacy positively and significantly affects remote workers’ productivity, while technostress has no significant effect. Simultaneously, both variables significantly influence productivity with an adjusted R² value of 25%.

Limitations: This study is limited to rookie remote workers at PT Kurnia Bumi Raya Management, Indonesia, which may reduce generalizability to other companies or employee groups. The research relies on self-reported survey data, which may introduce response bias and limit the accuracy of measurements.

Contributions: The study provides empirical evidence that digital literacy positively influences productivity, while technostress does not. These findings guide HR practices in remote work settings by emphasizing the importance of enhancing digital literacy and designing interventions to reduce technostress.

Digital Literacy Productivity Remote Worker Technoctress
How to Cite
Rahayu, Y., Zuhriatusobah, J., Aisah, A., & Permana, A. S. (2024). The Application of Artificial Intelligence in Human Resource Management for Remote Workers. Journal of Economics, Management, Entrepreneurship, and Business, 4(1), 21-31. https://doi.org/10.52909/jemeb.v4i2.166
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Rahayu, Y., Zuhriatusobah, J., Aisah, A., & Permana, A. S. (2024). The Application of Artificial Intelligence in Human Resource Management for Remote Workers. Journal of Economics, Management, Entrepreneurship, and Business, 4(1), 21-31. https://doi.org/10.52909/jemeb.v4i2.166
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