Philipp Hoffmann
Philipp Hoffmann
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Bridging the Vendor-User Gap in Enterprise Cloud Software Development through Data-Driven Requirements Engineering.
P Hoffmann, D Mateja, K Spohrer, A Heinzl
ICIS, 2019
Comparing Platform Core Features with Third-Party Complements. Machine-Learning Evidence from Apple iOS
A Halckenhäußer, F Mann, J Foerderer, P Hoffmann
Machine-Learning Evidence from Apple iOS (January 3, 2022). Proceedings of …, 2022
Analyzing usage data in enterprise cloud software: An action design research approach
P Hoffmann, K Spohrer, A Heinzl
Information Systems Outsourcing: The Era of Digital Transformation, 257-274, 2020
Socio-Behavioral Elements in Data-Driven Requirements Engineering: The Case of Enterprise Cloud Software.
P Hoffmann, DN Mateja, K Spohrer, A Heinzl
ECIS, 2020
Supporting the Billing Process in Outpatient Medical Care: Automated Medical Coding Through Machine Learning.
L Oberste, N Finze, P Hoffmann, A Heinzl
ECIS, 2022
Assessing the Impact of Empirical Process Control Metrics in Agile Software Development-A Framework based on Improvement Capability.
T Röck, P Hoffmann, K Spohrer, TC Schimmer, A Heinzl
ECIS, 2022
The influence of user feedback on complementary innovation in platform ecosystems: NLP evidence on the value of multihoming
P Hoffmann, V Shmagina, A Halckenhaeusser, N Lueker
IT Management in the Digital Age
A Heinzl, O Aydingül, AM Seeger, M Fallon, A Halckenhäußer, ...
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