International Journal of Research Studies in Educational Technology
CollabWritive Special Issue
Volume 8, Issue Number 1
Available Online: 5 July 2024
Author/s:
Xiao, Yintong
Graduate School, Lyceum of the Philippines University – Batangas, Philippines (yintongxiao@lpubatangas.edu.ph)
Abstract:
This study explored the impact of human-machine collaboration on employees’ work performance and made an in-depth analysis based on career construction theory. The quantitative analysis method was utilized and results showed that man-machine collaboration had a significant impact on employee performance and can also promote the career development of employees. It was found that the impact of man-machine collaboration on employee performance was influenced by many factors, including employee’s personal characteristics, manner and degree of man-machine collaboration, and organizational environment. Therefore, in practice, enterprises should adopt appropriate ways and strategies based on to the actual situation and needs of employees to maximize the advantages of man-machine collaboration. This study also provided enterprises with empirical support and theoretical guidance to improve employees’ work performance and career development level. At the same time, contributed useful reference and enlightenment for future research.
Keywords: Artificial Intelligence, man-machine collaboration identification, job performance
DOI: https://doi.org/10.5861/ijrset.2024.8006
Cite this article:
Xiao, Y. (2024). Influence of Human-AI collaboration identify on work performance in China’s internet industry. International Journal of Research Studies in Educational Technology, 8(1), 65-78. https://doi.org/10.5861/ijrset.2024.8006