Track Chairs
Patrick Zschech, Leipzig University, Germany,
Barbara Dinter, Chemnitz University of Technology, Germany,
Patrick Mikalef, Norwegian University of Science and Technology, Norway,

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Friday, June 14th

A Taxonomy of Data Science Process Models: Insights from Science and Practice

Stefan Rösl, OTH Amberg-Weiden
Christian Schieder, OTH Amberg-Weiden

Algorithmic Advice-Taking Beyond MAE: The Role of Negative Prediction Outliers and Statistical Literacy in Algorithmic Advice-Taking

Dirk Leffrang, Paderborn University
Oliver Mueller, Paderborn University

Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative AI

Domenique Zipperling, University of Bayreuth
Simeon Allmendinger, University of Bayreuth
Lukas Struppek, Technical University of Darmstadt
Niklas Kühl, University of Bayreuth

Critical Success Factors for Business Intelligence Across BI Maturity Levels in Startups

Sebastian Henn, Erasmus University Rotterdam
Samaneh Bagheri, Open University

Data Value Creation Matrix — Options for Organizations to Create Value from Data

Nick Kakuschke, Universität St. Gallen

Exploring BDA-Related Resource Complementarities as Driver of Business Value Creation: Presenting a Theoretical Model

Nico Hirschlein, University of Bamberg

Exploring XAI Users' Needs: A Novel Approach to Personalize Explanations Using Contextual Bandits

Philipp Schröppel, University of Ulm
Maximilian Förster, University of Ulm

From Data to Value: Revisiting Business Value Research in the Context of Data-Driven Insight Initiatives

Daniel Feulner, FIM Research Center for Information Management, University of Bayreuth
Peter Hofmann, University of Bayreuth
Nils Urbach, Frankfurt University of Applied Sciences

Hiding Behind Algorithms: People Analytics and Perceived Fairness Violation in Managerial Decisions

Miriam Klöpper, FZI Research Center for Information Technology
Uwe Messer, Universität der Bundeswehr

Improving Consumer-Provider Interaction with Data Products: Insights from Traditional Industries

M Redwan Hasan, University of Lausanne
Christine Legner, University of Lausanne

Operationalising Analytics Through Resource Orchestration — An Empirical Examination

Abhinav Shrivastava, RMIT University
Humza Naseer, RMIT University
Stuart Black, University of Melbourne
Yee Ling Boo, RMIT University
Booi Kam, RMIT University
Kok-Leong Ong, RMIT University

Orchestrating Sensemaking: Investigating the Sensemaking Processes and Its Enablers at the Dutch Police

Matthijs Blaauw, Utrecht University
Joeri Peters, Utrecht University
F.J. Bex, Utrecht University
Inge van de Weerd, Utrecht University

Rethinking Data Governance: A Viable System Model

Hippolyte Lefebvre, University of Lausanne
Christine Legner, University of Lausanne

Towards Automated Business Process Redesign in Runtime Using Generative Machine Learning

Maximilian Victor Harl, ETH Zurich
Sandra Zilker, Technische Hochschule Nuremberg
Sven Weinzierl, Friedrich-Alexander University Erlangen-Nuremberg

Transfer Learning for Predictive Process Monitoring

Annina Liessmann, Friedrich-Alexander University Erlangen-Nuremberg
Weixin Wang, Friedrich-Alexander University Erlangen-Nuremberg
Sven Weinzierl, Friedrich-Alexander University Erlangen-Nuremberg
Sandra Zilker, Technische Hochschule Nuremberg
Martin Matzner, Friedrich-Alexander University Erlangen-Nuremberg

Unconstraining Demand for Effective System Operation: The Case of Vehicle Relocation in Free-Floating E-Carsharing

Christoph Prinz, University of Göttingen
Mathias Willnat, University of Göttingen
Florian Rampold, University of Göttingen
Lutz M. Kolbe, University of Göttingen

Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics

Joshua Holstein, Karlsruhe Institute of Technology
Philipp Spitzer, Karlsruhe Institute of Technology
Marieke Hoell, Karlsruhe Institute of Technology
Michael Vössing, Karlsruhe Institute of Technology
Niklas Kühl, University of Bayreuth