How and when artificial intelligence usage facilitates task performance

This study investigated how the increasing usage of artificial intelligence (AI) in diverse business applications has affected task performance. Building on the job demands–resources model, we employed moderated mediation modeling to investigate the association between AI usage and the task performance of delivery drivers. Participants comprised 251 delivery drivers who completed online surveys over a 1-month period. Hierarchical regression analysis revealed that work engagement played a mediating role in the association between AI usage and the task performance of delivery drivers. Moreover, the mediating role of work engagement was moderated by an individual's concept of their future work self. When an individual had a stronger sense of their future work self, the mediating role of work engagement became more pronounced. This study has introduced a new mediating mechanism linking artificial intelligence with employee performance and has identified boundary conditions that increase its beneficial impact on employee performance, thus contributing theoretically to the extant literatures. The study findings can help companies improve employee engagement and performance.

Authors

Institutions

Publication Details

Journal
Social Behavior and Personality An International Journal
Published
2024-10-02
DOI
https://doi.org/10.2224/sbp.13634
Citations
1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How and when artificial intelligence usage facilitates task performance

Qi Zeng, Fangguo Su, Wenhao Liu, K. Xiong
1 citations
Social Behavior and Personality An International Journal
AI and HR Technologies
0.67
article

How and when artificial intelligence usage facilitates task performance

Qi Zeng, Fangguo Su, Wenhao Liu, K. Xiong
article en
1 citations

Abstract

This study investigated how the increasing usage of artificial intelligence (AI) in diverse business applications has affected task performance. Building on the job demands–resources model, we employed moderated mediation modeling to investigate the association between AI usage and the task performance of delivery drivers. Participants comprised 251 delivery drivers who completed online surveys over a 1-month period. Hierarchical regression analysis revealed that work engagement played a mediating role in the association between AI usage and the task performance of delivery drivers. Moreover, the mediating role of work engagement was moderated by an individual's concept of their future work self. When an individual had a stronger sense of their future work self, the mediating role of work engagement became more pronounced. This study has introduced a new mediating mechanism linking artificial intelligence with employee performance and has identified boundary conditions that increase its beneficial impact on employee performance, thus contributing theoretically to the extant literatures. The study findings can help companies improve employee engagement and performance.

Social Behavior and Personality An International JournalVol. 52(10)
Shenzhen University (CN), City University of Macau (MO)
Decent work and economic growth
Openalex Percentile: Top 22%
AI and HR Technologies
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.