Volume 30, Issue 8 pp. 3827-3837
ORIGINAL ARTICLE

Association of artificial intelligence use and the retention of elderly caregivers: A cross-sectional study based on empowerment theory

Ying Wang PhD

Ying Wang PhD

Student

The School of Management, Hefei University of Technology, Hefei, China

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Chenze Xie MSc

Chenze Xie MSc

Student

The School of Management, Hefei University of Technology, Hefei, China

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Changyong Liang PhD

Corresponding Author

Changyong Liang PhD

Professor

The School of Management, Hefei University of Technology, Hefei, China

Correspondence

Changyong Liang, the School of Management, Hefei University of Technology, Hefei 230009, China.

Email: [email protected]

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Peiyu Zhou PhD

Peiyu Zhou PhD

Student

The School of Management, Hefei University of Technology, Hefei, China

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Liyan Lu PhD

Liyan Lu PhD

Student

The School of Management, Hefei University of Technology, Hefei, China

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First published: 30 September 2022
Citations: 15

Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study is funded by the National Natural Science Foundation of China under grant nos. 72131006 and 71771075.

Abstract

Aim

The purpose of this study is to investigate how the use of artificial intelligence is associated with the retention of elderly caregivers.

Background

The turnover of elderly caregivers is high and increasing. Elderly care institutions are beginning to use artificial intelligence to support caregivers in their work, and the use of technology is critical to staff retention. Empowerment of elderly caregivers has been neglected by managers and researchers.

Methods

This cross-sectional study involved 511 elderly caregivers in 25 elderly institutions. Six validated standardized scales were used for data collection, and the software SPSS and SmartPLS were used for data analysis.

Results

The quality of artificial intelligence has a significant positive effect on empowerment. Artificial intelligence psychological empowerment (β = .355, p < .001) and artificial intelligence structural empowerment (β = .375, p < .001) both had positive effects on retention intention, and the jointly explained variance (R2) was 42.6%.

Conclusions

The results show that a significant relationship exists between artificial intelligence empowerment and retention intention. Elderly caregivers with more structural empowerment have higher retention intention.

Implications for Nursing Management

Artificial intelligence suppliers need to pay attention to the role of product quality in elderly care services, continuously improve artificial intelligence quality, and strengthen the application and routine maintenance of artificial intelligence technologies. Elderly care institution managers should pay special attention to artificial intelligence structural empowerment (such as artificial intelligence-related education and training, learning and development opportunities, and resource support).

CONFLICT OF INTEREST

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request. The data are not publicly available due to privacy or ethical restrictions.

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