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Utilizing information-based enterprise management to mitigate anxiety disorders among moderate and severe managers

Published online by Cambridge University Press:  27 October 2023

Jiandong Xing*
Affiliation:
Macau University of Science and Technology, Macau 999078, China
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Abstract

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Background

Informatization has become a key element of modern enterprise management, and managers face severe anxiety in high-pressure work environments, which hurts personal health and organizational performance. It is very important to study the alleviating effect of information-based enterprise management on the anxiety of managers.

Subjects and Methods

SASRQ and 3D-CAM were used to assess management anxiety, and SPSS23.0 was used to collect and analyze data. Through comparative analysis, the study evaluated the effect of information enterprise management on the anxiety of managers and guided decision-making and practice.

Results

In the study, 100 managers were recruited as samples from different information enterprises. SASRQ and 3D-CAM were used to measure the samples, and the results showed that the anxiety symptoms of managers were significantly relieved under the management of information-based enterprises. The average SASRQ score decreased by 27.8% from 75.2 to 54.8. The average 3D-CAM measurement score decreased from 7.3 to 3.6, a decrease of 50.7%. SPSS23.0 statistical analysis results show that information-based enterprise management has a significant effect on the relief of management anxiety (P< 0.001).

Conclusions

The study shows that information enterprise management has a significant effect on management anxiety. Using SASRQ and 3D-CAM as assessment tools, data analysis based on SPSS23.0 showed a significant reduction in manager anxiety symptoms. Therefore, organizations should actively promote the application of information-based enterprise management to improve managers’ mental health and improve organizational performance.

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