
Mena Teebken
پژوهشگر · Digital Transformation
Max Planck Institute for Innovation and Competitionمعرفی
Dr. Mena Teebken serves as an Associate Researcher at the Bavarian Research Institute for Digital Transformation (bidt), a leading independent research institution in Bavaria. Her work centers on the critical intersection of digital transformation and workplace data governance, particularly through the "Determinants of Data Disclosure in the Digital Workplace" (DetDat) project. This research investigates how various digital work factors influence employees' willingness to disclose personal data, aiming to develop evidence-based strategies for enhancing data protection while enabling beneficial data use.
Her research interests encompass digital transformation, workplace data protection, artificial intelligence in organizational contexts, employee privacy, data governance, and the ethical dimensions of workplace surveillance. She explores how trust in data handling mechanisms, transparency in data practices, and perceived benefits influence employee data disclosure behaviors. Her work bridges technical, legal, and human aspects of data management in modern workplaces.
Recent publications (2024-2025) reveal a strong focus on AI-driven workplace data dynamics, continuous data sharing, and risk-benefit trade-offs. Dr. Teebken's scholarship identifies key challenges in balancing innovation with privacy and proposes actionable recommendations for building employee trust through robust data protection frameworks. Her research highlights the importance of comprehensive data protection measures in fostering employee confidence and enabling broader data utilization.
As a key contributor to the DetDat project, Dr. Teebken collaborates with an interdisciplinary team of experts including Prof. Thomas Hess (Ludwig-Maximilians-Universität München), Prof. Ioanna Constantiou (Copenhagen Business School), and Prof. Virpi Tuunainen (Aalto University). This collaboration spans multiple institutions and leverages diverse methodological approaches to address complex workplace data challenges.
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Alexander PretschnerMax Planck Institute for Innovation and Competition · استاد
Thomas HessMax Planck Institute for Innovation and Competition · استاد
Virpi Kristiina TuunainenAalto University · استاد
Kai von LewinskiUniversity of Passau · استاد
Anita D. BhappuSan José State University · دانشیار
Holger SutschetOsnabrück University of Applied Sciences · استاد