Editor-in-chief

Prof. Paul Sudnik

Munich University of Applied Sciences, Germany

As the Editor-in-Chief of IJSSH, I invite you to contribute your scholarly work to our esteemed publication. The journal publishes papers which focus on the advanced researches in the field of all aspects of social science and humanity. I'll endeavour to make this journal grow better and hopefully it will become a recognized journal among researchers and scholars in related fields.

Home> Archive> 2023> Volume 13 Number 1 ( Feb. 2023)
IJSSH 2023 Vol.13(1): 40-45
doi: 10.18178/ijssh.2023.V13.1117

The Organizational Correlates of Automation Depend on Job Status

Wei Qi

Abstract—In many professions, human workers are now being displaced by robots. This trend towards automation has led to much research interest in the impact and correlates of automation on workplace contexts and workplace behavior. However, this research has typically modeled automation as a single process which has the same implications for all employees. Drawing from the rich psychological literature on power and status, we show that automation may have different implications for high-status and low-status employees. For high-status jobs (e.g., optometrists), we find that automation is linked to higher levels of responsibility, teamwork, decision impact, and job competition. In contrast, level of automation within low-status jobs (e.g., fast food workers) is only linked to less regular work schedules. This research suggests that automation may have very different implications for low-status and high status workers.

Index Terms—Industrial-organizational psychology, job status, workplace automation, workplace behavior.


Wei Qi is with the University of Illinois Urbana-Champaign in Champaign, Illinois, United States

*Correspondence: qpeter0101@gmail.com.

[PDF]

Cite: Wei Qi, "The Organizational Correlates of Automation Depend on Job Status," International Journal of Social Science and Humanity vol. 13, no. 1, pp. 40-45, 2023.


Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).





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