Benjamin van Giffen

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Tobias FahseVerified email at mail.de
Walter BrennerProfessor für Wirtschaftsinformatik, Universität St. GallenVerified email at unisg.ch
Christian DremelNorwegian University of Science and TechnologyVerified email at ntnu.no
Manuel HollerZurich University of Applied SciencesVerified email at zhaw.ch
Dennis HerhausenVrije Universiteit AmsterdamVerified email at vu.nl
Jochen WulfInstitute for Data Analysis and Process Design, Zurich School of Applied Sciences (ZHAW)Verified email at zhaw.ch
Christian EngelWissenschaftlicher Mitarbeiter, Universität St.GallenVerified email at unisg.ch
Jana KoehlerProfessor of Computer Science, Lucerne University of Applied Sciences and ArtsVerified email at hslu.ch
Ivo BlohmUniversity of St. GallenVerified email at unisg.ch
Alexander EckBerlin School of Economics and LawVerified email at hwr-berlin.de
Matthias M. HerterichUniversity of St.Gallen (Switzerland) | Stanford University (California)Verified email at stanford.edu
Alejandro G. FrankProfessor, Federal University of Rio Grande do SulVerified email at ufrgs.br
Linard BarthResearch Associate, University of applied Sciences in WinterhurVerified email at zhaw.ch
Jennifer HehnSenior Research Fellow & LecturerVerified email at unisg.ch
Seth Gordon BenzellChapman University, Stanford Digital Economy Lab and MIT Initiative on the Digital EconomyVerified email at chapman.edu
Matthias EhratDozent für Produktmanagement, Zurich University of Applied SciencesVerified email at zhaw.ch
Damian BorthProfessor of Artificial Intelligence & Machine Learning, University of St. GallenVerified email at unisg.ch

Benjamin van Giffen

University of St.Gallen

Verified email at unisg.ch - Homepage

Management of AI Digital Innovation Customer Centricity Platforms & Ecosystems


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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	98	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	40	2021
Realizing Digital Innovation from Artificial Intelligence A May, A Sagodi, C Dremel, B van Giffen International Conference on Information Systems (ICIS), 2020	28	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	15	2021
Management von Künstlicher Intelligenz in Unternehmen. B van Giffen, D Borth, W Brenner HMD Prax. Wirtsch. 57 (1), 4-20, 2020	10	2020
A Socio-Technical Approach to Study Consumer-Centric Information Systems. B Spottke, A Eck, J Wulf ICIS, 2016	8	2016
Consumer-Centric Information Systems: A Literature Review and Avenues for Further Research B Spottke, J Wulf, W Brenner	8	2015
Actualizing affordances: A socio-technical perspective on big data analytics in the automotive sector C Dremel, MM Herterich, J Wulf, B Spottke	7	2017
How Siemens Democratized Artificial Intelligence B van Giffen, H Ludwig MIS Quarterly Executive 22 (1), 1-21, 2023	6	2023
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	6	2022
Bausteine eines Managements Künstlicher Intelligenz W Brenner, B van Giffen, J Koehler, T Fahse, A Sagodi Springer Gabler, Wiesbaden, 2021	6	2021
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
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	4	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	4	2020
Effectiveness of Example-Based Explanations to Improve Human Decision Quality in Machine Learning Forecasting Systems. TB Fahse, I Blohm, B van Giffen ICIS, 2022	3	2022
Explanation Interfaces for Sales Forecasting TB Fahse, I Blohm, R Hruby, B van Giffen	3	2022
Smart dust for smart (er) industrial product-service-systems: three strategies and their application M Holler, B van Giffen, L Barth, R Fuchs Smart Services Summit: Digital as an Enabler for Smart Service Business …, 2021	3	2021
Stand in Wissenschaft und Praxis W Brenner, B van Giffen, J Koehler, T Fahse, A Sagodi Bausteine eines Managements Künstlicher Intelligenz: Eine Standortbestimmung …, 2021	2	2021
Engineering AI-enabled computer vision systems: lessons from manufacturing A Sagodi, J Schniertshauer, B van Giffen IEEE Software 39 (6), 51-57, 2022	1	2022
Characteristics of Contemporary Artificial Intelligence Technologies and Implications for IS Research B van Giffen, N Barth, A Sagodi	1	2022

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