Artificial Intelligence, Data, and Decision-Making
Editor
- Christoph M. Flath(Julius-Maximilian University of Würzburg)Gunther Gust(Julius-Maximilian University of Würzburg)Frédéric Thiesse(Julius-Maximilian University of Würzburg)Axel Winkelmann(Julius-Maximilian University of Würzburg)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), 2026. "Artificial Intelligence, Data, and Decision-Making," Lecture Notes in Information Systems and Organization, Springer, number 978-3-032-08480-4, January.
Handle: RePEc:spr:lniiso:978-3-032-08480-4
DOI: 10.1007/978-3-032-08480-4Download full text from publisher
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The following chapters of this book are listed in IDEAS- Torben Ukena & Rainer Alt, 2026. "Contributions of AI to Advance Interoperability with Data Mediators," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 3-10, Springer.
- Myriam Schaschek & Niko Spatscheck & Axel Winkelmann, 2026. "For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 11-31, Springer.
- Ricardo Rubiano-Cruz & Stefan Greulich & Christian Huchler, 2026. "GA4CA: Genetic Algorithms for the Creation and Design of Conversational Agents," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 33-49, Springer.
- Sascha Kaltenpoth & Oliver Müller, 2026. "Getting in Contract with Large Language Models—An Agency Theory Perspective on Large Language Model Alignment," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 51-67, Springer.
- Aycan Aslan & Maike Greve & Lutz Kolbe, 2026. "Mitigating Discontinuance in Medical AI Systems: The Role of AI Explanations," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 69-83, Springer.
- Elias Werner & Kian Schmalenbach, 2026. "Navigating AI Adoption: A Methodology for German SMEs," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 85-93, Springer.
- Alona Zharova & Laura Löschmann & Stefan Lessmann, 2026. "Optimizing Household Energy Use: An Activity-Based Recommendation System for Reducing CO2 Emissions," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 95-111, Springer.
- Sabrina Pletzl & Armin Haberl & Tony Ross-Hellauer & Stefan Thalmann, 2026. "Reproducible AutoML: An Assessment of Research Reproducibility of No-Code AutoML Tools," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 113-128, Springer.
- Stefan Arnold, 2026. "Stereotypical Bias Peaks in First Responses of DALL-E3," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 129-134, Springer.
- Luca Holst & Valentin Mayer & Luis Lämmermann & Nils Urbach & Domenik Wendt, 2026. "The Impact of the EU AI Act’s Transparency Requirements on AI Innovation," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 135-151, Springer.
- Leon Oldemeyer & Andreas Jede & Frank Teuteberg, 2026. "Understanding the Challenges of AI Implementation: Insights from an Empirical Study of Manufacturing Companies," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 153-168, Springer.
- Timo Grüneke & Tobias Guggenberger & Jakob Nusser & Anna Maria Oberländer & Jan Stramm & Alexander Varrentrapp, 2026. "Unlocking AI-Based Knowledge Management Potential for SMEs: Exploring Semantic Search Adoption," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 169-185, Springer.
- Nils Rahlmeier & Konstantin Hopf, 2026. "Bridging Fields of Practice: How Boundary Objects Enable Collaboration in Data Science Initiatives," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 189-205, Springer.
- Maximilian Greiner & Christian Zeiß & Nicolas Neis & Karl Seidenfad & Ulrike Lechner & Axel Winkelmann, 2026. "Governance Requirements for Decentralized Blockchain-Based Supply Chain Consortia," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 207-225, Springer.
- Christoph Tomitza & Lisa Straub & Ulvi Ibrahimli & Pascal Rützel & Christian Zeiß & Willy Kögler & Axel Winkelmann, 2026. "How to Achieve Hyperautomation? Towards a Maturity Model for SMEs," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 227-236, Springer.
- Laura Bauer & Stephan Kuehnel & Ilja Nastjuk & Leonard Nake & Heiko Seidel, 2026. "Multiple-Criteria Decisions for Information Security—A Case Study of Volkswagen Financial Services AG," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 237-254, Springer.
- Mathias Eggert & Hans Peter Rauer & Alexander Becker, 2026. "What Challenges the Productization of Software? An Organizational Transformation Perspective," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 255-271, Springer.
- Beatrice Balbierer & Lukas Heinlein & Domenique Zipperling & Niklas Kühl, 2026. "A Multivocal Literature Review on Privacy and Fairness in Federated Learning," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 275-291, Springer.
- Lukas Hägele & Mathias Klier & Andreas Obermeier & Torben Widmann, 2026. "Age Ain’t Just a Number: Exploring the Volume vs. Age Dilemma for Textual Data to Enhance Decision Making," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 293-310, Springer.
- Benedict Langer & Felix Pütterich, 2026. "Assessing Value Creation of Analytics Projects in SMEs," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 311-328, Springer.
- Thomas Setzer & Marco Fuchs, 2026. "On Optimal Covariance Matrix Shrinkage Levels in Forecast Combination," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 329-343, Springer.
- Robert Janus & Dominik Theilen & Abdumalik Mamatkulov & Di Zhang & Bastian Amberg, 2026. "Reinforcement Learning for Integration of Autonomous On-Demand Services with Conventional Public Transport," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 345-361, Springer.
- Ignacio Úbeda & Gunther Gust, 2026. "Spatio-temporal Pricing and Fleet Management under Mixed Autonomy," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 363-372, Springer.
- Marvin Motz & Tobias Kölbel & Anuja Hariharan, 2026. "Unveiling Green Facades: Exploring the Confluence of Greenwashing and Fake News," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 373-387, Springer.
- Lucas Schlömer & Martin Just & Petra Schubert, 2026. "Using Materialised Ontology-Based Data Access (MOBDA) for the Harmonisation of Trace Data from Enterprise Collaboration Systems," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 389-405, Springer.
- Anzelika Lipovetskaja & Seyyid Ahmed Ciftci & Julia Schweihoff & Christian Janiesch & Frederik Möller, 2026. "Business Model Types for Data Trustees," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 409-425, Springer.
- Kim Fröhnel & Gabriel Benedikt Thomas Adams & Rüdiger Zarnekow, 2026. "Facing the Multifaceted Impact of Fake Reviews: A Comprehensive Literature Review," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 427-445, Springer.
- Maximilian Habla & Stefan Napirata & Andrea Wrabel & Alexander Kupfer & Steffen Zimmermann, 2026. "Never Again “The Pizza was Great!”—Developing Design Principles for Dynamic Review Templates," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 447-462, Springer.
- Robin Christmann & Jürgen Rösch, 2026. "Platform Disintermediation: A Credence Good Perspective," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 463-476, Springer.
- Julian Rosenberger & Sophie Kuhlemann & Verena Tiefenbeck & Mathias Kraus & Patrick Zschech, 2026. "The Impact of Transparency in AI Systems on Users’ Data-Sharing Intentions: A Scenario-Based Experiment," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 477-493, Springer.
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