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How Ambivalence Toward Digital-AI Transformation Affects Taking-Charge Behavior: A Threat-Rigidity Theoretical
Xueliang Pei1,2, Jianing Guo3, Tung-Ju Wu4
1College of Business Administration, Huaqiao University, Quanzhou 362021, China.
Employee ambivalence toward digital-AI transformation hinders proactive behavior. Job engagement and future work self-salience fully mediate this negative impact, offering insights for managing workplace change.
Area of Science:
- Organizational Psychology
- Digital Transformation Studies
Background:
- Digital-AI transformation presents complex challenges in the modern workplace.
- Employee responses, particularly ambivalence, to digital-AI transformation are underexplored.
- Proactive employee behavior is vital for successful digital-AI transformation implementation.
Purpose of the Study:
- To investigate the impact of ambivalence toward digital-AI transformation on employees' proactive behavior.
- To examine the mediating roles of job engagement and future work self-salience.
- To build upon threat-rigidity theory in the context of technological change.
Main Methods:
- Survey data from 343 employees undergoing digital-AI transformation.
- Structural equation modeling to test a theoretical model.
- Analysis of the relationships between ambivalence, job engagement, future work self-salience, and taking-charge behavior.
Main Results:
- Ambivalence toward digital-AI transformation negatively impacts taking-charge behavior.
- Job engagement and future work self-salience fully mediate the relationship between ambivalence and taking-charge behavior.
- A chained mediating role of job engagement and future work self-salience was observed.
Conclusions:
- Organizations must address employee ambivalence to foster proactive engagement during digital transformation.
- Enhancing job engagement and future work self-salience can mitigate negative impacts of ambivalence.
- Findings offer practical strategies for managing psychological responses to technological change.
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