Consumer-Centric Information Systems: A Literature Review and Avenues for Further Research. - Benjamin Spottke; Jochen Wulf; Walter Brenner (ICIS, 2015)

A Socio-Technical Approach to Study Consumer-Centric Information Systems. - Benjamin Spottke; Alexander Eck; Jochen Wulf (ICIS, 2016)

Actualizing Affordances: A Socio-Technical Perspective on Big Data Analytics in the Automotive Sector. - Christian Dremel; Matthias M. Herterich; Jochen Wulf; Benjamin Spottke (ICIS, 2017)

Was Unternehmen von der Videospieleindustrie für die Gestaltung der Digital Customer Experience lernen können. - Benjamin Spottke (HMD Prax. Wirtsch., 2017)

Realizing Digital Innovation from Artificial Intelligence. - Anthony May; André Sagodi; Christian Dremel; Benjamin van Giffen (ICIS, 2020)

Smart Dust in the Industrial Economic Sector - On Application Cases in Product Lifecycle Management. - Manuel Holler; Jens Haarmann; Benjamin van Giffen; Alejandro Germán Frank (PLM, 2020)

Towards Closing the Affordances Gap of Artificial Intelligence in Financial Service Organizations. - Christian Engel 003; Benjamin van Giffen; Philipp Ebel (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Rezension "Künstliche Intelligenz". - Benjamin van Giffen (HMD Prax. Wirtsch., 2020)

Management von Künstlicher Intelligenz in Unternehmen. - Benjamin van Giffen; Damian Borth; Walter Brenner (HMD Prax. Wirtsch., 2020)

Business Impact Künstliche Intelligenz. - Benjamin van Giffen; Matthias Knoll (HMD Prax. Wirtsch., 2020)

Smart Dust und Micro Robots im industriellen Sektor. - Manuel Holler; Christian Dremel; Benjamin van Giffen; Rainer Fuchs (HMD Prax. Wirtsch., 2020)

Management of Artificial Intelligence: Feasibility, Desirability and Viability. - Walter Brenner; Benjamin van Giffen; Jana Koehler (Engineering the Transformation of the Enterprise, 2021)

From Smart Connected Products to Systems of Systems: Case Study and Archetypes. - Manuel Holler; Christian Dremel; Benjamin van Giffen; Helen Vogt (PLM (2), 2021)

Empirically Exploring the Cause-Effect Relationships of AI Characteristics, Project Management Challenges, and Organizational Change. - Christian Engel 003; Philipp Ebel; Benjamin van Giffen (Wirtschaftsinformatik, 2021)

Managing Bias in Machine Learning Projects. - Tobias Benjamin Fahse; Viktora Huber; Benjamin van Giffen (Wirtschaftsinformatik, 2021)

Erratum zu: Business Impact Künstliche Intelligenz. - Benjamin van Giffen; Matthias Knoll (HMD Prax. Wirtsch., 2021)

Explanation Interfaces for Sales Forecasting. - Tobias Benjamin Fahse; Ivo Blohm; Richard Hruby; Benjamin van Giffen (ECIS, 2022)

Becoming Certain About the Uncertain: How AI Changes Proof-of-Concept Activities in Manufacturing - Insights from a Global Automotive Leader. - André Sagodi; Christian Engel 003; Johannes Schniertshauer; Benjamin van Giffen (HICSS, 2022)

Effectiveness of Example-Based Explanations to Improve Human Decision Quality in Machine Learning Forecasting Systems. - Tobias Benjamin Fahse; Ivo Blohm; Benjamin van Giffen (ICIS, 2022)

Characteristics of Contemporary Artificial Intelligence Technologies and Implications for IS Research. - Benjamin van Giffen; Nadine Barth; André Sagodi (ICIS, 2022)

Digitale Plattformen in der Praxis - Einsatz- und Entwicklungsmodelle. - Manuel Holler; Christian Dremel; Jennifer Hehn; Benjamin van Giffen; Gianluca Galeno (HMD Prax. Wirtsch., 2022)

Engineering AI-Enabled Computer Vision Systems: Lessons From Manufacturing. - André Sagodi; Johannes Schniertshauer; Benjamin van Giffen (IEEE Softw., 2022)

Sensemaking in AI-based Digital Innovations: Insights from a manufacturing Case Study. - André Sagodi; Christian Dremel; Benjamin van Giffen (ECIS, 2023)

Design Thinking for Artificial Intelligence: How Design Thinking Can Help Organizations to Address Common AI Project Challenges. - Laura Staub; Benjamin van Giffen; Jennifer Hehn; Simon Sturm (HCI (53), 2023)

How Siemens Democratized Artificial Intelligence. - Benjamin van Giffen; Helmuth Ludwig (MIS Q. Executive, 2023)

How Boards of Directors Govern Artificial Intelligence. - Benjamin van Giffen; Helmuth Ludwig (MIS Q. Executive, 2023)

How Audi Scales Artificial Intelligence in Manufacturing. - André Sagodi; Benjamin van Giffen; Johannes Schniertshauer; Klemens Niehues; Jan vom Brocke (MIS Q. Executive, 2024)