Dr. Bernhard Lutz
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Sprechzeiten | ||||||||||
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Lebenslauf | ||||||||||
Seit 2020 |
Leitung Forschungsgruppe "Business Analytics" |
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11/2017, 9/2018 |
Forschungsaufenthalte University of Newcastle, Australien |
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04/2017-11/2020 |
Promotion am Lehrstuhl für Wirtschaftsinformatik, Albert-Ludwigs-Universität Freiburg |
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03/2017 |
Masterarbeit: 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 |
Bachelorarbeit: Eine Oberfläche zur Pattern-Analyse für SWAT |
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10/2011-09/2014 | B.Sc. Informatik, Albert-Ludwigs-Universität Freiburg | |||||||||
Preise & Auszeichnungen | ||||||||||
2022 | Hermann Zemlicka Award für "most visionary paper" bei NeuroIS Retreat 2022, Wien | |||||||||
2021 | Fachschaftslehrpreis Sommersemester 2021 "Business Analytics Seminar" | |||||||||
2016 |
Best Poster Award, DEBS 2016, Irvine, California, USA |
Wissenschaftliche Publikationen
Originalarbeiten in wissenschaftlichen Fachzeitschriften
Jahre: 2024 | 2023 | 2022 | 2021 | 2020
2024

- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Affective Information Processing of Fake News: Evidence from NeuroIS
2024 European Journal of Information Systems, Band: 33, Nummer: 5, Seiten: 654 - 673 - Mörstedt T, Lutz B, Neumann D
Cross Validation Based Transfer Learning for Cross-Sectional Non-Linear Shrinkage: A Data-Driven Approach in Portfolio Optimization
2024 European Journal of Operational Research, Band: 318, Nummer: 2, Seiten: 670 - 685
2023

- Baur K, Rosenfelder M, Lutz B
Automated real estate valuation with machine learning models using property descriptions
2023 Expert Systems with Applications, Band: 213, Nummer: 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, Band: 175, Nummer: 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, Band: 165, Nummer: 113892
2022

- 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, Band: 144, Seiten: 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, Band: 299, Nummer: 1, Seiten: 75 - 86 - Brammer J, Lutz B, Neumann D
Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
2022 OR Spectrum, Band: 44, Nummer: 1, Seiten: 29 - 56
2021

- Brammer J, Lutz B, Neumann D
Solving the mixed model sequencing problem with reinforcement learning and metaheuristics
2021 Computers & Industrial Engineering, Band: 162, Nummer: 107704
2020

- 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, Band: 536, Seiten: 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, Band: 148, Nummer: 113223 - Albrecht S, Lutz B, Neumann D
The Behavior of Blockchain Ventures on Twitter as a Determinant for Funding Success
2020 Electronic Markets, Band: 30, Nummer: 2, Seiten: 241 - 257
Vorträge
Jahre: 2022 | 2019 | 2018
2022

- 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

- 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

- 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
Konferenzbeiträge
Jahre: 2024 | 2023 | 2022 | 2020 | 2019 | 2018 | 2017 | 2016
2024

- Ebner J, Lutz B, Neumann D
Deep Fakes and Political Attitudes: An Analysis of Confirmation Bias and Cognitive Dissonance Using Neurophysiological Measurements
2024 NeuroIS Retreat 2024 - 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), Band: 8, Nummer: 191, Seiten: 1 - 22
2023

- 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

- 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

- 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

- Lutz B, Adam M, Feuerriegel S, Pröllochs N, Neumann D
Affective Information Processing of Fake News: Evidence from NeuroIS
2019 NeuroIS Retreat, Vienna, Austria , Seiten: 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 , Seiten: 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 , Seiten: 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

- 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, Seiten: 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

- 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

- 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, Seiten: 368 - 371
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