Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration

Given the scarcity of previous studies on employee–AI collaboration and its impact on employee behavior and user engagement, we investigated its potential to drive user engagement using a mixed-method approach. Grounded in qualitative findings from 27 participants in a healthcare setting, we propose a robust model that emphasizes the impact of AI–employee collaboration on AI mastery goal, user engagement, and a paradox mindset, as well as the moderating role of AI empathy and technological frames. Using a quantitative method, we collected data from 452 participants in a healthcare setting across two studies. Our findings showed that AI–employee collaboration can drive AI mastery goal and a paradox mindset. We also found empirical evidence that both AI mastery goal and the paradox mindset can mediate the relationship between employee–AI collaboration and user engagement. Moreover, our findings revealed interesting moderating results across two studies. In Study 1, significant effects were found for both employee–AI collaboration and AI mastery goal at low AI empathy, but not at high levels. In Study 2, while the interaction between employee–AI collaboration and AI empathy was not significant, the influence of AI mastery goal became significant at high empathy levels, and the paradox mindset showed a significant effect only at high levels of AI empathy. These findings provide managers with valuable insights into the essential operations dynamic of employee–AI collaboration, underscoring its important role in enhancing user engagement. • Emphasizes the impact of AI-employee collaboration on user engagement through AI mastery goals and a paradox mindset. • Combines qualitative interviews and quantitative surveys to develop and validate the research framework. • AI mastery goals and paradox mindset mediate the relationship between AI-employee collaboration and user engagement. • AI empathy and technological frame enhance the relationships between AI mastery goals, paradox mindset, and user engagement. • Recommends training programs to foster AI mastery goals and paradox mindsets and promoting a supportive technological environment.

Authors

Institutions

Publication Details

Journal
International Journal of Information Management
Published
2025-04-14
DOI
https://doi.org/10.1016/j.ijinfomgt.2025.102908
Citations
11
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
27.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration

Pantea Foroudi, Reza Marvi, Naja AmirDadbar
11 citations
International Journal of Information Management
AI in Service Interactions
27.29
article

Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration

Pantea Foroudi, Reza Marvi, Naja AmirDadbar
article en
11 citations

Abstract

Given the scarcity of previous studies on employee–AI collaboration and its impact on employee behavior and user engagement, we investigated its potential to drive user engagement using a mixed-method approach. Grounded in qualitative findings from 27 participants in a healthcare setting, we propose a robust model that emphasizes the impact of AI–employee collaboration on AI mastery goal, user engagement, and a paradox mindset, as well as the moderating role of AI empathy and technological frames. Using a quantitative method, we collected data from 452 participants in a healthcare setting across two studies. Our findings showed that AI–employee collaboration can drive AI mastery goal and a paradox mindset. We also found empirical evidence that both AI mastery goal and the paradox mindset can mediate the relationship between employee–AI collaboration and user engagement. Moreover, our findings revealed interesting moderating results across two studies. In Study 1, significant effects were found for both employee–AI collaboration and AI mastery goal at low AI empathy, but not at high levels. In Study 2, while the interaction between employee–AI collaboration and AI empathy was not significant, the influence of AI mastery goal became significant at high empathy levels, and the paradox mindset showed a significant effect only at high levels of AI empathy. These findings provide managers with valuable insights into the essential operations dynamic of employee–AI collaboration, underscoring its important role in enhancing user engagement. • Emphasizes the impact of AI-employee collaboration on user engagement through AI mastery goals and a paradox mindset. • Combines qualitative interviews and quantitative surveys to develop and validate the research framework. • AI mastery goals and paradox mindset mediate the relationship between AI-employee collaboration and user engagement. • AI empathy and technological frame enhance the relationships between AI mastery goals, paradox mindset, and user engagement. • Recommends training programs to foster AI mastery goals and paradox mindsets and promoting a supportive technological environment.

International Journal of Information ManagementVol. 83
Islamic Azad University, Tehran (IR), Aston University (GB), Brunel University of London (GB)
Openalex Percentile: Top 1%
AI in Service Interactions
27.29
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.