Abstract
Our study investigates the opportunities and challenges of increasing workplace datafication from an employee perspective. It focuses on how AI-driven data collection and analysis shape employee perceptions and influence their engagement levels. As AI becomes part of workplace operations, it introduces a complex balance between productivity gains and employee privacy, thereby influencing organizational outcomes. Using a quantitative survey, we will test the relationships between AI-driven datafication, privacy concerns, work-life conflict, productivity, and employee engagement. We specifically examine employee engagement as a key outcome, recognizing it as essential for organizational performance, retention, and job satisfaction. Overall, our study contributes to datafication research by examining the nuanced effects of increasing employee transparency on employee perceptions and attitudes. Our anticipated insights will support organizations as they navigate the complexities of datafication at work, helping them create balanced, employee-centred approaches to AI integration that promote employee engagement.
| Dokumententyp: | Konferenzbeitrag (Paper) |
|---|---|
| Fakultät: | Betriebswirtschaft > Institut für Digitales Management und Neue Medien > Daten-basierte Geschäftskonzepte |
| Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
| Sprache: | Englisch |
| Dokumenten ID: | 127126 |
| Datum der Veröffentlichung auf Open Access LMU: | 31. Jul. 2025 10:01 |
| Letzte Änderungen: | 31. Jul. 2025 10:01 |
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