| Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods. B van Giffen, D Herhausen, T Fahse Journal of Business Research 144, 93-106, 2022 | 189 | 2022 |
| Managing bias in machine learning projects T Fahse, V Huber, B van Giffen Innovation Through Information Systems: Volume II: A Collection of Latest …, 2021 | 59 | 2021 |
| Realizing Digital Innovation from Artificial Intelligence A May, A Sagodi, C Dremel, B van Giffen International Conference on Information Systems (ICIS), 2020 | 40 | 2020 |
| Empirically exploring the cause-effect relationships of AI characteristics, project management challenges, and organizational change C Engel, P Ebel, B van Giffen Innovation Through Information Systems: Volume II: A Collection of Latest …, 2021 | 24 | 2021 |
| How Siemens Democratized Artificial Intelligence B van Giffen, H Ludwig MIS Quarterly Executive 22 (1), 1-21, 2023 | 20 | 2023 |
| Management von Künstlicher Intelligenz in Unternehmen. B van Giffen, D Borth, W Brenner HMD Prax. Wirtsch. 57 (1), 4-20, 2020 | 15 | 2020 |
| A Socio-Technical Approach to Study Consumer-Centric Information Systems. B Spottke, A Eck, J Wulf ICIS, 2016 | 10 | 2016 |
| Actualizing affordances: A socio-technical perspective on big data analytics in the automotive sector C Dremel, MM Herterich, J Wulf, B Spottke | 9 | 2017 |
| Management of artificial intelligence: feasibility, desirability and viability W Brenner, B van Giffen, J Koehler Engineering the Transformation of the Enterprise: A Design Science Research …, 2022 | 8 | 2022 |
| Consumer-centric information systems: A literature review and avenues for further research B Spottke, J Wulf, W Brenner | 8 | 2015 |
| Bausteine eines Managements Künstlicher Intelligenz W Brenner, B van Giffen, J Koehler, T Fahse, A Sagodi Springer Gabler, Wiesbaden, 2021 | 7 | 2021 |
| Engineering AI-enabled computer vision systems: lessons from manufacturing A Sagodi, J Schniertshauer, B van Giffen IEEE Software 39 (6), 51-57, 2022 | 6 | 2022 |
| Explanation Interfaces for Sales Forecasting TB Fahse, I Blohm, R Hruby, B van Giffen | 6 | 2022 |
| Sensemaking in AI-based Digital Innovations: Insights form a Manufacturing Case Study A Sagodi, C Dremel, B van Giffen | 5* | 2023 |
| Effectiveness of Example-Based Explanations to Improve Human Decision Quality in Machine Learning Forecasting Systems. TB Fahse, I Blohm, B van Giffen ICIS, 2022 | 5 | 2022 |
| Becoming certain about the uncertain: How AI changes proof-of-concept activities in manufacturing–Insights from a global automotive leader A Sagodi, C Engel, J Schniertshauer, B Van Giffen | 5 | 2022 |
| Smart Dust und Micro Robots im industriellen Sektor: Chancen, offene Punkte und Handlungsempfehlungen M Holler, C Dremel, B van Giffen, R Fuchs HMD Praxis der Wirtschaftsinformatik 57 (6), 1239-1250, 2020 | 5 | 2020 |
| Smart Dust in the Industrial Economic Sector–On Application Cases in Product Lifecycle Management M Holler, J Haarmann, B Van Giffen, AG Frank Product Lifecycle Management Enabling Smart X: 17th IFIP WG 5.1 …, 2020 | 5 | 2020 |
| How Boards of Directors Govern Artificial Intelligence B van Giffen, H Ludwig MIS Quarterly Executive 22 (4), 251-272, 2023 | 4 | 2023 |
| Design Thinking for Artificial Intelligence: How Design Thinking Can Help Organizations to Address Common AI Project Challenges L Staub, B van Giffen, J Hehn, S Sturm International Conference on Human-Computer Interaction, 251-267, 2023 | 3 | 2023 |
Walter BrennerProfessor für Wirtschaftsinformatik, Universität St. Gallenunisg.ch의 이메일 확인됨