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Gernot Pruschak

Nov 13, 2025 • 1 min read

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Voluntary or Expected? Making Sense of Employee-Generated Learning: Insights for Formalization

Voluntary or Expected? Making Sense of Employee-Generated Learning: Insights for Formalization

When employees create learning content for colleagues, are they helpful volunteers – or is this becoming an unwritten expectation?
Nov 18, 2025 2 min read
Do Labels Matter? Leadership Perception of AI- vs. Human-Labeled Content

Do Labels Matter? Leadership Perception of AI- vs. Human-Labeled Content

Topic This thesis investigates how organizational leaders perceive content labeled as generated by Generative Artificial Intelligence (GAI) compared to content labeled as written by humans. Drawing on sensemaking theory, the study explores how labels act as interpretive cues that influence leaders’ evaluations of trust, credibility, content quality, and creativity. By
Sep 8, 2025 2 min read
Utilizing an AI-Powered Tool for Financial Planning and  Analysis: Enhancing Forecasting and Scenario Planning in  Corporate Finance

Utilizing an AI-Powered Tool for Financial Planning and Analysis: Enhancing Forecasting and Scenario Planning in Corporate Finance

This study tests AI models for revenue forecasting and finds that without business-specific data, even advanced tools fall short. It highlights the need for richer datasets, strong data governance, and ongoing updates to improve accuracy.
Aug 14, 2025 2 min read
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