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Optimizing HR management system on attention deficit in faculty work

Published online by Cambridge University Press:  27 October 2023

Qiting Song*
Affiliation:
Guangzhou Railway Polytechnic, Guangzhou 510430, China
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Abstract

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Background

With the increase of occupational stress and workload, more and more occupational people have problems of work attention deficit. The HRM system will be helpful to the occupational group, so it can be used in the study of the work attention deficit of faculty members.

Subjects and Methods

60 teaching staff of a vocational college were selected as the research subjects and randomly divided into experimental and control groups, with 30 people in each group. The experimental group applied the optimized human resource management system; the control group was managed according to the unoptimized system. Memory load n-back task was used and relevant experimental data were recorded; Pearson was used to analyze the relevant data.

Results

The mean reaction time of the experimental group in the 1-back task was (505±100) ms, while that of the control group was (457±75) ms, and the difference between the groups was statistically significant after repeated-measures ANOVA (P=0.017). In the 2-back task, the mean reaction time of the experimental group was (573±125) ms, while the control group was (511±100) ms, and the difference between the groups was statistically significant (P=0.016).

Conclusions

Faculty members optimized for the HRM system showed longer reaction time and increased ISD when completing n-back tasks, and these differences were associated with clinical symptoms of attention deficit at work. Therefore, HRM system optimization research can explore additional interventions to improve faculty members’ level of work attention.

Acknowledgement

Guangzhou Education Bureau’s University Scientific Research Project - Youth Talents Scientific Research Project (No. 202032782); Research Project of Guangzhou Education Research Institute (No. 21AZYJY21126).

Type
Abstracts
Copyright
© The Author(s), 2023. Published by Cambridge University Press