معرفی
Markus Rump, M.Sc., is a Researcher and Research Assistant at Bielefeld University, affiliated with the Faculty of Economics, the Department of Management Science & Business Analytics, and the Chair of Business Administration, specifically in Marketing, under Prof. Dr. Decker. He also holds institutional roles in research data management at the Competence Center for Research Data, Bielefeld IT Service Center (FDM Team), and the Bielefeld Center for Data Science (BiCDaS), reflecting his interdisciplinary engagement in data infrastructure and digital scholarship.
- Faculty of Economics
- Department of Management Science & Business Analytics
- Chair of Business Administration, esp. Marketing
- Competence Center for Research Data
- Bielefeld Center for Data Science (BiCDaS)
His research spans two primary domains: higher education and marketing. In higher education, he investigates student motivation, academic dropout, dispositional traits (optimism/pessimism), and heterogeneity in learning environments, often in collaboration with Wiebke Esdar and Elke Wild. In marketing, his work focuses on customer experience, branding, voice assistants, and brand selfies, frequently co-authored with Reinhold Decker. These interests reflect a strong interdisciplinary profile bridging psychology, education, and business.
His recent publications (2016–2023) show a consistent output in both peer-reviewed journals and conference venues. Themes include the impact of voice assistants on customer experience, motivations behind brand selfies, and structural models analyzing early college dropout. The research employs quantitative methods and surveys, contributing to both theoretical understanding and practical applications in education and marketing.
Markus Rump has no listed scientific awards in the provided texts.
He is actively involved in research projects such as HeLGA (Heterogeneity-Oriented Teaching), focusing on conditions for successful teaching in diverse student populations. While no formal students or grants are explicitly mentioned, his role in large-scale research suggests collaborative supervision and project-based funding. He contributes significantly to research data management, supporting institutional data governance and digital research practices.
