University of Twente Student Theses
AI Usage, Self-Efficacy, and Employee Performance : Balancing Productivity Gains and Unintended Consequences
Brunnlechner, Helena (2025) AI Usage, Self-Efficacy, and Employee Performance : Balancing Productivity Gains and Unintended Consequences.
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| Abstract: | This research explores how frequent AI usage influences employee performance. While literature has focused on how AI improves efficiency, this study attempts to analyze its impact on overall performance, including counterproductivity. Based on Bandura's self- efficacy theory and the Technology Acceptance Model, it was assumed that AI usage frequency influences employee performance through work self-efficacy. Data were gathered from 185 employees using an online questionnaire. The analysis confirmed that frequent AI use leads to higher positive performance by enhancing work self-efficacy. This supports the assumption that AI usage makes employees feel more confident in their ability to perform work tasks, through which they are likely to perform better across different performance dimensions. Finally, there was no significant negative indirect effect of frequent AI use on counterproductive work behaviors through self-efficacy. The study highlights the psychological mechanism at play in improving work performance by using AI and discusses implications for ethical responsibility and future research. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 77 psychology |
| Programme: | Psychology MSc (66604) |
| Link to this item: | https://purl.utwente.nl/essays/106405 |
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