Track Co-Chairs
Jingjing Li, Ph.D., University of Virginia
Esko Penttinen, Ph.D., Aalto University
Chuan Hoo Tan, Ph.D., National University of Singapore

Schedule

2024
Sunday, December 15th

Accessible data lineage: A scoping review on open-source data lineage platforms

Anuja Hariharan, Karlsruhe Institute of Technology
Tianren Zhang, Karlsruhe Institute of Technology
Marvin Motz, Karlsruhe Institute of Technology
Christof Weinhardt, Karlsruhe Institute of Technology

Acquiring Second-Party Transaction Data for Customer Analytics

Xiaoping Liu, Northeastern University
Xiaobai Li, University of Massachusetts Lowell

Addressing Limitations of Patent Research Using Machine-Learning: A Research Agenda Based on Automatic F-term Classification and Technology Spanning Vector Data

Paul Selzner, RWTH Aachen University
Lukas Beckers, RWTH Aachen University
Christina Dienhart, RWTH Aachen University
David Antons, RWTH Aachen University

Affective and Cognitive: Exploring the Multi-modal data for Predicting User Engagement Behavior in Live Streaming Commerce

Guang Xu, Renmin University of China
Ming Ren, Renmin University of China
Qun Zhou, Renmin University of China

Analysing the Unseen: Leveraging Data Analytics to Combat the Societal Challenge of Doping in Sports

Maxx Richard Rahman, Saarland University
Lotfy Abdel Khaliq, German Research Centre for Artificial Intelligence (DFKI)
Thomas Piper, German Sport University Cologne (DSHS)
Hans Geyer, German Sport University Cologne (DSHS)
Tristan Equey, World Anti-Doping Agency (WADA)
Norbert Baume, World Anti-Doping Agency (WADA)
Reid Aikin, World Anti-Doping Agency
Wolfgang Maass, German Research Center for Artificial Intelligence (DFKI)

How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories

Sven Weinzierl, Friedrich-Alexander-Universität Erlangen-Nürnberg
Sandra Zilker, Technische Hochschule Nürnberg Georg Simon Ohm
Patrick Zschech, Leipzig University
Mathias Kraus, Universität Regensburg
Tobias Leibelt, Friedrich-Alexander-Universität Erlangen-Nürnberg
Martin Matzner, Friedrich-Alexander-Universität Erlangen-Nürnberg

Impact of Verbal and Nonverbal Cues in CEO Interview Videos on Market Volatility

Cuibing Wu, UMass Lowell
Julie Zhang, UMass Lowell
Remi Daviet, University of Wisconsin–Madison

New Community Cold-Start Recommendation: A Novel Large Language Model-based Method

Shangkun Che, Tsinghua University
Minjia Mao, University of Delaware
Hongyan Liu, Tsinghua University

Oldie But Goodie – Currency Beats Data Age of Customer Reviews When It Comes to Recommender System Performance

Lukas Jakob Hägele, Ulm University
Mathias Klier, University of Ulm
Andreas Obermeier, University of Ulm
Christian Sparn, University of Ulm

Optimizing Restaurant Customer Flow and Revenue with Real-Time Coupon Allocation: A Deep Reinforcement Learning Approach

Jiahui Feng, University of Science and Technology of China
Juntao Wu, University of Science and Technology of China
Meng Chen, University of Science and Technology of China
Juan Qin, University of Science and Technology of China

Quality of Outlier Detection

Piotr Kulczycki, Systems Research Institute, Polish Academy of Science
Krystian Franus, Samsung Electronics
Malgorzata Charytanowicz, Polish Academy of Sciences

Team Emergent States and Paradoxical Business Analytics Use

Ghiyoung Im, U of Louisville
Sunyoung Cho, University of Texas Rio Grande Valley
Claris Chung, University of Canterbury

The Futures Too Bright: ChatGPT's Optimism Forecasting Bias

Nicole Liu, UNSW
Sam Kirshner, University of New South Wales

Top Management Team Diversity and Sustainability Reporting: An Empirical Study Using Deep Learning

Lea Hagemeier, University of Muenster

Towards Data Management for Navigating the Dynamic Landscape of Sustainability Regulations and Standards

Jingyang Wang, University of Lausanne
Elizabeth A. Teracino, University of Lausanne
Christine Legner, HEC Lausanne