David Dann

Orcid: 0000-0002-9225-5080

According to our database1, David Dann authored at least 16 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
How do tax compliance labels impact sharing platform consumers? An empirical study on the interplay of trust, moral, and intention to book.
Inf. Syst. E Bus. Manag., 2022

Platform Economy: Beyond the Traveled Paths.
Bus. Inf. Syst. Eng., 2022

Giant or Dwarf? A Literature Review on Blockchain-enabled Marketplaces in Business Ecosystems.
Proceedings of the WI for Grand Challenges, 2022

Monetizing Car Data: A Literature Review on Data-Driven Business Models in the Connected Car Domain.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Call for Papers, Issue 5/2022.
Bus. Inf. Syst. Eng., 2021

Quantity over Quality? - A Framework for Combining Mobile Crowd Sensing and High Quality Sensing.
Proceedings of the Innovation durch Informationssysteme, 2021

What Goes Around, Comes Around: The Effects of 360- Degree Experiences on Peer-To-Peer Platform Behavior.
Proceedings of the Innovation durch Informationssysteme, 2021

Recommender Systems for Capability Matchmaking.
Proceedings of the 23rd Conference on Business Informatics, 2021

Information and Market Engineering at KIT: Quo Vadis?
Proceedings of the Market Engineering: Insights from Two Decades of Research on Markets and Information, 2021

2020
Where the host is part of the deal: Social and economic value in the platform economy.
Electron. Commer. Res. Appl., 2020

Machine Learning for Bitcoin Pricing - A Structured Literature Review.
Proceedings of the Entwicklungen, 2020

Blockchain and Trust in the Platform Economy: The Case of Peer-to-Peer Sharing.
Proceedings of the Entwicklungen, 2020

Understanding the Platform Economy: Signals, Trust, and Social Interaction.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Using Machine Learning to Predict Short-Term Movements of the Bitcoin Market.
Proceedings of the Enterprise Applications, Markets and Services in the Finance Industry, 2020

Introducing DASC-PM: A Data Science Process Model.
Proceedings of the Australasian Conference on Information Systems, 2020

2019
DISKNET - A Platform for the Systematic Accumulation of Knowledge in IS Research.
Proceedings of the 40th International Conference on Information Systems, 2019


  Loading...