Utilizing Data and Analytics to Advance Service - Towards Enabling Organizations to Successfully Ride the Next Wave of Servitization. - Fabian Hunke; Christian Engel 003 (IESS, 2018)

Data-Driven Service Innovation: a Systematic literature Review and Development of a Research Agenda. - Christian Engel 003; Philipp Ebel (ECIS, 2019)

Understanding the Anatomy of Analytics-based Services - a Taxonomy to Conceptualize the Use of Data and Analytics in Services. - Fabian Hunke; Christian Engel 003; Ronny Schüritz; Philipp Ebel (ECIS, 2019)

The Imprint of Design Science in Information Systems Research: An Empirical Analysis of the AIS Senior Scholars' Basket. - Christian Engel 003; Niklas Leicht; Philipp Ebel (ICIS, 2019)

Looking beneath the Surface - Concepts and Research Avenues for Big Data Analytics Adoption in IS research. - Christian Dremel; Jochen Wulf; Christian Engel 003; Patrick Mikalef (ICIS, 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)

Trust in Smart Personal Assistants: A Systematic Literature Review and Development of a Research Agenda. - Naim Zierau; Christian Engel 003; Matthias Söllner 001; Jan Marco Leimeister (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Using Deep Learning for Extracting User-Generated Knowledge from Web Communities. - Thiemo Wambsganss; Christian Engel 003 (ECIS, 2021)

Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence. - Edona Elshan; Christian Engel 003; Philipp Ebel (HICSS, 2021)

Deploying a Model for Assessing Cognitive Automation Use Cases: Insights from Action Research with a Leading European Manufacturing Company. - Christian Engel 003; Edona Elshan; Philipp Ebel (HICSS, 2021)

Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases. - Christian Engel 003; Edona Elshan; Philipp Ebel (ICIS, 2021)

Improving Explainability and Accuracy through Feature Engineering: A Taxonomy of Features in NLP-based Machine Learning. - Thiemo Wambsganss; Christian Engel 003; Hansjörg Fromm (ICIS, 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)

Assessing the Reusability of Design Principles in the Realm of Conversational Agents. - Edona Elshan; Christian Engel 003; Philipp Ebel; Dominik Siemon (DESRIST, 2022)

Design and Evaluating a Tool for continuously Assessing and Improving Agile Practices for increased Organizational Agility. - Michael Greineder; Ivo Blohm; Christian Engel 003 (ECIS, 2022)

Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases. - Christian Engel 003; Julius Schulze Buschhoff; Philipp Ebel (HICSS, 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)

Cognitive automation. - Christian Engel 003; Philipp Ebel; Jan Marco Leimeister (Electron. Mark., 2022)

Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future. - Edona Elshan; Naim Zierau; Christian Engel 003; Andreas Janson; Jan Marco Leimeister (Inf. Syst. Frontiers, 2022)

Stairway to heaven or highway to hell: A model for assessing cognitive automation use cases. - Christian Engel 003; Edona Elshan; Philipp Ebel; Jan Marco Leimeister (J. Inf. Technol., 2024)