Dr. Bernhard Lutz
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| Vita | ||||||||||
| Since 2020 |
Head of research group "Business Analytics" |
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| 11/2017, 9/2018 |
Research stays at University of Newcastle, Australia |
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| 04/2017-11/2020 |
PhD Student at the Chair of Information Systems, Albert-Ludwigs-Universität Freiburg |
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| 03/2017 |
Master Thesis: Large scale distributed reconstruction of retweet cascades |
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| 10/2014-03/2017 |
M.Sc. Informatik, Albert-Ludwigs-Universität Freiburg |
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| 09/2014 |
Bachelor Thesis: Eine Oberfläche zur Pattern-Analyse für SWAT |
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| 10/2011-09/2014 | B.Sc. Informatik, Albert-Ludwigs-Universität Freiburg | |||||||||
| Prizes and Awards | ||||||||||
| 2022 | Hermann Zemlicka Award for "most visionary paper" at NeuroIS Retreat 2022, Vienna | |||||||||
| 2021 | Teaching Award Summer 2021 by Student Union ("Fachschaft") for Business Analytics Seminar | |||||||||
| 2016 |
Best Poster Award, DEBS 2016, Irvine, California, USA |
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Scientific Publications
Journal Articles
Years: 2023 | 2022 | 2021 | 2020
back to the top of all publications2023
back to the year overview- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Affective Information Processing of Fake News: Evidence from NeuroIS
2023 European Journal of Information Systems, volume: Forthcoming - Baur K, Rosenfelder M, Lutz B
Automated real estate valuation with machine learning models using property descriptions
2023 Expert Systems with Applications, volume: 213, issue: 119147 - Levich S, Lutz B, Neumann D
Utilizing the omnipresent: Incorporating digital documents into predictive process monitoring using deep neural networks
2023 Decision Support Systems, volume: 175, issue: 114043 - Schmitz HC, Lutz B, Wolff D, Neumann D
When machines trade on corporate disclosures: Using text analytics for investment strategies
2023 Decision Support Systems, volume: 165, issue: 113892
2022
back to the year overview- Lutz B, Pröllochs N, Neumann D
Are Longer Reviews Always More Helpful? Disentangling the Interplay Between Review Length and Line of Argumentation
2022 Journal of Business Research, volume: 144, pages: 888 - 901 - Brammer J, Lutz B, Neumann D
Permutation Flow Shop Scheduling with Multiple Lines and Demand Plans Using Reinforcement Learning
2022 European Journal of Operational Research, volume: 299, issue: 1, pages: 75 - 86 - Brammer J, Lutz B, Neumann D
Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
2022 OR Spectrum, volume: 44, issue: 1, pages: 29 - 56
2021
back to the year overview- Brammer J, Lutz B, Neumann D
Solving the mixed model sequencing problem with reinforcement learning and metaheuristics
2021 Computers & Industrial Engineering, volume: 162, issue: 107704
2020
back to the year overview- Pröllochs N, Feuerriegel S, Lutz B, Neumann D
Negation Scope Detection for Sentiment Analysis: A Reinforcement Learning Framework for Replicating Human Interpretations
2020 Information Sciences, volume: 536, pages: 205 - 221 - Lutz B, Pröllochs N, Neumann D
Predicting Sentence-Level Polarity Labels of Financial News Using Abnormal Stock Returns
2020 Expert Systems With Applications, volume: 148, issue: 113223 - Albrecht S, Lutz B, Neumann D
The Behavior of Blockchain Ventures on Twitter as a Determinant for Funding Success
2020 Electronic Markets, volume: 30, issue: 2, pages: 241 - 257
Talks
Years: 2022 | 2019 | 2018 back to the top of all publications2022
back to the year overview- Lutz B
Social Identity Activation Requires Uniqueness: The Interplay Between Social Identity and Explainable AI in Algorithm Aversion Towards Fashion Recommendations
2022 Invited Talk at Smith School of Business, Queens University, Kingston, Kanada
2019
back to the year overview- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Fake News in Social Media: Empirical Evidence of Human Information Processing from NeuroIS
2019 Deception Detection and Credibility Assessment Symposium (as part of HICSS 2019) - Brammer J, Lutz B, Neumann D
Flow-Shop Scheduling with Demand Plans and Multiple Lines Using Reinforcement Learning
2019 Conference on Information Systems and Technology, Seattle, USA
2018
back to the year overview- Lutz B, Marc A, Feuerriegel S, Pröllochs N, Neumann D
Misinformation in Social Media: Empirical Evidence of Human Information Processing from NeuroIS
2018 Third Workshop on the Digitization of the Individual, San Francisco, USA
Conference papers
Years: 2024 | 2023 | 2022 | 2020 | 2019 | 2018 | 2017 | 2016 back to the top of all publications2024
back to the year overview- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
2024 San José, Costa Rica ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW)
2023
back to the year overview- Schlepper Y, Lutz B, Lindenmeier J, Neumann D
Exploring the Role of Post-Hoc Explanations in Mitigating Algorithm Aversion in Identity-Based Consumption: An Eye Tracking Study
2023 NeuroIS Retreat 2023
2022
back to the year overview- Popp F, Lutz B, Neumann D
Information Overload and Argumentation Changes in Product Reviews: Evidence from NeuroIS
2022 NeuroIS Retreat 2022 - Popp F, Lutz B, Neumann D
Information Overload in Processing Consumer Reviews: The Role of Argumentation Changes
2022 Internationale Konferenz Wirtschaftsinformatik
2020
back to the year overview- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Identifying Linguistic Cues of Fake News Associated with Cognitive and Affective Processing: Evidence from NeuroIS
2020 NeuroIS Retreat
2019
back to the year overview- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Affective Information Processing of Fake News: Evidence from NeuroIS
2019 NeuroIS Retreat, Vienna, Austria , pages: 121 - 128 - Albrecht S, Lutz B, Neumann D
How Sentiment Impacts the Success of Blockchain Startups – An Analysis of Social Media Data and Initial Coin Offerings
2019 Hawaii International Conference on System Sciences, Hawaii, USA , pages: 4545 - 4554 - Lutz B, Pröllochs N, Neumann D
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning
2019 Hawaii International Conference on System Sciences, Hawaii, USA , pages: 1116 - 1125 - Lutz B, Pröllochs N, Neumann D
The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews
2019 International Conference on Information Systems, Munich, Germany
2018
back to the year overview- Chiong R, Fan Z, Hu Z, Adam M. T. P., Lutz B, Neumann D
A sentiment analysis-based machine learning approach for financial market prediction via news disclosures
2018 GECCO '18, Kyoto, Japan — July 15 - 19, 2018 Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages: 278 - 279 - Lutz B, Pröllochs N, Neumann D
Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective
2018 International Conference on Information Systems, San Francisco, USA
2017
back to the year overview- Lutz B, Pröllochs N, Neumann D
Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews
2017 Australasian Conference on Information Systems, Hobart, Australia
2016
back to the year overview- Fischer P M, Taxidou I, Lutz B, Huber M
Distributed streaming reconstruction of information diffusion
2016 10th ACM International Conference on Distributed and Event-based Systems, Irvine, California Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, pages: 368 - 371
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