University laboratory management in the era of digital intelligence: Computer-Aided mediation effect research on the relationship between AMO model and performance based on AMOS

With the advent of the digital intelligence age, the efficiency of laboratory management in university has received unprecedented attention. This study aims to explore how the AMO (ability, motivation, opportunity) factors of university laboratory administrators affect their job performance in the context of digital intelligence, and to analyze in depth the mediating role of reward recognition and job satisfaction in this relationship. This study used quantitative analysis methods, with 310 laboratory administrators from 10 universities in Guangdong Province, China as the research subjects. Data was collected through questionnaire surveys and statistical analysis was conducted using Amos 24.0 software. The results show that AMO has a positive impact on their work performance, reward recognition, and satisfaction; There is a significant positive correlation between satisfaction and performance; The perception of reward recognition is also significantly positively correlated with job performance. The mediating effect analysis revealed the significant parallel mediating effect of reward recognition and satisfaction between AMO and performance. This study provides empirical research support for the management of university laboratories in the digital intelligence era. It is recommended that university managers pay attention to enhancing the AMO factor of laboratory administrators and enhance their work performance by improving job satisfaction and reward recognition mechanisms.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3708036.3708047
Primary Topic
Big Data and Business Intelligence
Type
article
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University laboratory management in the era of digital intelligence: Computer-Aided mediation effect research on the relationship between AMO model and performance based on AMOS

Jiangang Feng, Jundan Wang
Big Data and Business Intelligence
article

University laboratory management in the era of digital intelligence: Computer-Aided mediation effect research on the relationship between AMO model and performance based on AMOS

Jiangang Feng, Jundan Wang
article en

Abstract

With the advent of the digital intelligence age, the efficiency of laboratory management in university has received unprecedented attention. This study aims to explore how the AMO (ability, motivation, opportunity) factors of university laboratory administrators affect their job performance in the context of digital intelligence, and to analyze in depth the mediating role of reward recognition and job satisfaction in this relationship. This study used quantitative analysis methods, with 310 laboratory administrators from 10 universities in Guangdong Province, China as the research subjects. Data was collected through questionnaire surveys and statistical analysis was conducted using Amos 24.0 software. The results show that AMO has a positive impact on their work performance, reward recognition, and satisfaction; There is a significant positive correlation between satisfaction and performance; The perception of reward recognition is also significantly positively correlated with job performance. The mediating effect analysis revealed the significant parallel mediating effect of reward recognition and satisfaction between AMO and performance. This study provides empirical research support for the management of university laboratories in the digital intelligence era. It is recommended that university managers pay attention to enhancing the AMO factor of laboratory administrators and enhance their work performance by improving job satisfaction and reward recognition mechanisms.

Zhaoqing University (CN)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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