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Marcus Basalla, M.Sc.

Research Assistant / PhD Student
Hilti Chair of Business Process Management
Deep Learning Applications in Enterprise Data Science
PhD-Thesis, since September 2018

Deep Neural Networks (DNNs) are a powerful machine learning tool, loosely inspired by the structure of the human brain. Improvements in the field of DNNs, combined with an increase in computational ... more ...

Data driven company valuation and IPO performance prediction
FFF-Förderprojekt, April 2018 until March 2020 (finished)

An important part of every initial public offering (IPO) is an accurate valuation of the company planning to sell shares. Most established valuation methods only take hard financial facts into ... more ...

  • Basalla, M., Schneider, J., Luksik, M., Jaakonmäki, R., & vom Brocke, J. (2021). On Latency of E-Commerce Platforms. Journal of Organizational Computing and Electronic Commerce, 31(1), 1 - 17.

  • Werner, F., Basalla, M., Schneider, J., Hays, D., & vom Brocke, J. (2020). Blockchain Adoption from an Interorganizational Systems Perspective - A Mixed-Methods Approach. Information Systems Management, 38(2), 135-150.

  • vom Brocke, J., Basalla, M., Kaiser, L. F., Schneider, J., Ragtschaa, S., Batliner-Staber, F., & Dzinic, E. (2018). Own - The Case of a Blockchain Business Model Disrupting the Equity Market. CONTROLLING - Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 30(5), 19-25. (VHB_3: D)

  • Schneider, J., Basalla, M., & Seidel, S. (2019). Principles of Green Data Mining. Paper presented at the Hawaii International Conference on System Sciences (HICSS), Hawaii, USA. (VHB_3: C)