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 | 7 | 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 | 4 | 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 | 3 | 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 | 2 | 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 | 1 | 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 | 1 | 2022 |
Data-driven requirements elicitation: an automated end-user feedback analytics approach and implications for enterprise software requirements engineering P Hoffmann | | 2024 |
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 | | 2023 |
IT Management in the Digital Age A Heinzl, O Aydingül, AM Seeger, M Fallon, A Halckenhäußer, ... | | |