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The double-edged sword effects of algorithmic opacity: The self-determination theory perspective
Chunhong Guo1, Huifang Liu2, Fangbai Song3
1School of Business Administration, University of Science and Technology Liaoning, China.
Acta Psychologica
|September 25, 2025
Summary
Algorithmic opacity can boost efficiency by fostering passion. However, its impact on employee behavior, like active learning or political actions, depends on the task
Area of Science:
- Management Science
- Organizational Behavior
- Artificial Intelligence Ethics
Background:
- Algorithmic opacity is often viewed negatively, despite potential efficiency benefits.
- Existing research lacks a deep understanding of how algorithmic opacity impacts employee behavior and efficiency in specific contexts.
Purpose of the Study:
- To investigate the nuanced effects of algorithmic opacity on employee efficiency and behavior.
- To identify the contextual factors that moderate the relationship between algorithmic opacity and employee outcomes.
Main Methods:
- Structural equation modeling was employed.
- Data were collected from 421 full-time employees at a manufacturing company in northern China interacting with AI.
- The study examined employee passion and behavioral responses in relation to algorithmic opacity.
Main Results:
- Algorithmic opacity fosters harmonious passion, leading to active learning during structured AI tasks.
- Algorithmic opacity can induce obsessive passion, resulting in political behaviors during unstructured AI tasks.
Conclusions:
- Algorithmic opacity's impact is context-dependent, influencing employee passion and behavior differently based on task structure.
- Findings contribute to theories of algorithmic opacity and self-determination, highlighting the dual nature of its effects.
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