Björn Hanneke

M.Sc. Finance

 

Room: 2.262
hanneke@wiwi.uni-frankfurt.de
Phone +49 (69) 798 34718
Links: LinkedIn | ORCiD | ResearchGate

Biography

Björn Hanneke studied International Management at ESB Business School Reutlingen (BSc.) and Finance at Lancaster University Management School (MSc.).

After his studies Björn Hanneke founded a data analytics start-up and joined the strategy consulting company Berg Lund & Company in 2014. As consultant, he assisted clients from the financial industry with respect to their digital transformation, automation and digitization of business processes.

Since February 2022 Björn Hanneke has been working as research assistant at Goethe University Frankfurt at the Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz.

Research Interests
  • Digital Platforms
  • Crypto Economy & Decentralized Finance (DeFi)
  • Blockchains & Distributed Ledger Technology (DLT)
  • (Non-Fungible) Tokens & Token Economy (Tokenomics)
Publications

Hanneke, Björn / Baum, Lorenz / Schlereth, Christian / Hinz, Oliver (2023): “Consumer Preferences for Privacy Management Systems”, International Conference on Information Systems (ICIS) 2023, Hyderabad, India. aisel.aisnet.org/icis2023/cyber_security/cyber_security/12/ [Download]

Hanneke, Björn / Baum, Lorenz / Hinz, Oliver (2023): “GDPR Privacy Type Clustering: Motivational Factors for Consumer Data Sharing”, European Conference on Information Systems (ECIS) 2023, Kristiansand, Norway. aisel.aisnet.org/ecis2023_rp/409/ [Download]

Hanneke, Björn / Baum, Lorenz / Schunck, Christian / Hinz, Oliver (2024): “Privatsphärenfreundliche Plattformgeschäftsmodelle: Geschäftsmodell-Navigator”, Datenschutz und Datensicherheit (DuD) 48, 89–94. doi.org/10.1007/s11623-023-1887-5 [Download]

Pfeiffer, Lars / Astfalk, Stefanie / Baum, Lorenz / Hanneke, Björn / Schunck, Christian / Winterstetter, Matthias (2023): “Anforderungen an die automatisierte Protokollierung von Datenverarbeitungstätigkeiten in einem Transaktionsjournal: eine Multi-Stakeholder-Perspektive auf Motivation und Umsetzung”, in Friedewald / Roßnagel / Neuburger / Bieker / Hornung (Hrsg.): “Daten-Fairness in einer globalisierten Welt”, 117–144, Nomos (Privatheit und Selbstbestimmung in der digitalen Welt, 2), Baden-Baden. doi.org/10.5771/9783748938743-117 [Download]

Hanneke, Björn / Chuang, Yu-Jen / Skiera, Bernd / Hinz, Oliver (2024): "Sell or Give Away? Economics of Resale Royalties", DPE Forum.

Hanneke, Björn / Chuang, Yu-Jen / Skiera, Bernd / Hinz, Oliver (2024): "Resale Royalties in the Creator Economy: Evidence from Digital Asset Markets", Blockchain Horizons, INATBA Academic and R&D Forum.

Hanneke, Björn / Chuang, Yu-Jen / Skiera, Bernd / Hinz, Oliver (2024): "Resale Royalties in the Creator Economy: Evidence from Digital Asset Markets.", Statistical Challenges in Electronic Commerce Research (SCECR).

Hanneke, Björn / Skiera, Bernd / Kraft, Thilo Gerwien / Hinz, Oliver (2024): "Relationship between Size of Wallet, Share of Wallet and Total Wallet: New Insights from the Blockchain", EMAC 2024 Annual Conference.

Hanneke, Björn / Chuang, Yu-Jen / Skiera, Bernd / Hinz, Oliver (2024): "Resale Royalties in the Creator Economy: Evidence from Digital Asset Markets", EMAC 2024 Annual Conference.

Hanneke, Björn / Chuang, Yu-Jen / Skiera, Bernd / Hinz, Oliver (2023): "Resale Royalties in the Creator Economy: Evidence from Digital Asset Markets". Marketing and the Creator Economy Conference.

Hanneke, Björn / Hinz, Oliver (2024): "No Funding, no Problem? Empirical Evidence on Cold-Starting New Marketplaces with Token Airdrops", DPE Forum.

Lectures / Supervised Theses
  • Understanding Mobile Crypto Users: User Profiles, Usage Patterns and Adoption Decisions (Master)
  • User Adoption Models for Token-Based Multiplayer Crypto Games (Master)
  • Consumer Preferences for Privacy-Friendly Platform Business Models (Master)
  • A Taxonomy of Privacy-Friendly Platform Business Models –  The Case of Digital Labor Platforms (Master)
  • Evolution von Plattformgeschäftsmodellen für die Kryptoökonomie - Unterschiede zu traditionellen Plattformgeschäftsmodellen (Bachelor)
  • Empirical Investigation of Crypto Network Evolution on the Basis of Consolidated Crypto Network Data (Bachelor)
  • Crypto Currency Returns - An Application of Machine Learning Methods (Bachelor)
Top