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Institutionen der Universität Bayreuth
Lehrstuhl Wirtschaftsinformatik und humanzentrische Künstliche Intelligenz

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Universität Bayreuth (59213)
- Fakultäten (55596)
  - Rechts- und Wirtschaftswissenschaftliche Fakultät (12861)
    - Fachgruppe Betriebswirtschaftslehre (5159)
      - Lehrstuhl Wirtschaftsinformatik und humanzentrische Künstliche Intelligenz (156)
        Lehrstuhl Wirtschaftsinformatik und humanzentrische Künstliche Intelligenz - Univ.-Prof. Dr.-Ing. Niklas Kühl (155)

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Springe zu: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015

Anzahl der Einträge auf dieser Ebene: 156.

2025

Spitzer, Philipp ; Holstein, Joshua ; Hemmer, Patrick ; Vössing, Michael ; Kühl, Niklas ; Martin, Dominik ; Satzger, Gerhard:
Human Delegation Behavior in Human-AI Collaboration : The Effect of Contextual Information.
2025
Veranstaltung: CSCW 2025 .
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

2024

Becker, Dominik ; Deck, Luca ; Feulner, Simon ; Gutheil, Niklas ; Schüll, Moritz ; Decker, Stefan ; Eymann, Torsten ; Gimpel, Henner ; Pippow, Andreas ; Röglinger, Maximilian ; Urbach, Nils:
Lohnt sich Microsoft 365 Copilot? : Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen.
Bayreuth , 2024 . - 58 S. - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 72 )
DOI: https://doi.org/10.15495/EPub_UBT_00007962

Schoeffer, Jakob ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Satzger, Gerhard:
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions.
In: Journal of Artificial Intelligence Research. (September 2024) .

Keller, Robert ; Neubig, Stefan ; Rebholz, Dominik ; Schmücker, Dirk:
How Many Tourists Next Weekend? : Conceptualizing AI-Based Forecasts For Visitor Management in Tourism.
In: Marketing Review St. Gallen. (Juni 2024) .

Spitzer, Philipp ; Kühl, Niklas ; Goutier, Marc ; Kaschura, Manuel ; Satzger, Gerhard:
Transferring Domain Knowledge with (X)AI-Based Learning Systems.
2024
Veranstaltung: 32nd European Conference on Information Systems (ECIS) , 13-19 June 2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Holstein, Joshua ; Spitzer, Philipp ; Hoell, Marieke ; Vössing, Michael ; Kühl, Niklas:
Understanding Data Understanding : A Framework to Navigate the Intricacies of Data Analytics.
2024
Veranstaltung: 32nd European Conference on Information Systems (ECIS) , 13-19 June 2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Schöffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making.
2024
Veranstaltung: ACM CHI Conference on Human Factors in Computing Systems (CHI '24) , 11.-16.05.2024 , Honolulu, Hawaiʻi.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag mit Paper )

Müller, Leopold ; Hemmer, Patrick ; Queisner, Moritz ; Sauer, Igor ; Allmendinger, Simeon ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas:
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages.
2024
Veranstaltung: The 38th Annual AAAI Conference on Artificial Intelligence , February 20-27, 2024 , Vancouver, Canada.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag mit Paper )

Xiong, Felix ; Kühl, Niklas ; Stauder, Maximilian:
Designing a computer-vision-based artifact for automated quality control : a case study in the food industry.
In: Flexible Services and Manufacturing Journal. (4 Januar 2024) .
DOI: https://doi.org/10.1007/s10696-023-09523-9

Zipperling, Domenique ; Allmendinger, Simeon ; Struppek, Lukas ; Kühl, Niklas:
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI.
2024
Veranstaltung: The 32nd European Conference on Information Systems (ECIS) , 13.06 - 19.06.2024 , Paphos, Cyprus.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.15495/EPub_UBT_00007511

Deck, Luca ; Schoeffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
A Critical Survey on Fairness Benefits of Explainable AI.
In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT). - Rio de Janeiro, Brazil , 2024
DOI: https://doi.org/10.1145/3630106.3658990

Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Walk, Jannis ; Satzger, Gerhard:
Data-centric artificial intelligence.
In: Business & Information Systems Engineering. Bd. 66 (2024) . - S. 507-515.
DOI: https://doi.org/10.1007/s12599-024-00857-8

Morrison, Katelyn ; Spitzer, Philipp ; Turri, Violet ; Feng, Michelle ; Kühl, Niklas ; Perer, Adam:
The Impact of Imperfect XAI on Human-AI Decision-Making.
In: Proceedings of the ACM on Human-Computer Interaction. Bd. 8 (2024) . - 183.
DOI: https://doi.org/10.1145/3641022

Deck, Luca ; Müller, Jan-Laurin ; Braun, Conradin ; Zipperling, Domenique ; Kühl, Niklas:
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness.
In: Proceedings of the Third European Workshop on Algorithmic Fairness (EWAF'24). - Mainz, Germany , 2024

Balbierer, Beatrice ; Heinlein, Lukas ; Zipperling, Domenique ; Kühl, Niklas:
A Multivocal Literature Review on Privacy and Fairness in Federated Learning.
In: Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI). - Würzburg, Germany , 2024
DOI: https://doi.org/10.48550/arXiv.2408.08666

Allmendinger, Simeon ; Hemmer, Patrick ; Queisner, Moritz ; Sauer, Igor ; Müller, Leopold ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas:
Navigating the Synthetic Realm: Harnessing Diffusion-Based Models for Laparoscopic Text-to-Image Generation.
In: Shaban-Nejad, Arash ; Michalowski, Martin ; Bianco, Simone (Hrsg.): AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health. - Cham : Springer, 2024 . - S. 31-46
DOI: https://doi.org/10.1007/978-3-031-63592-2_4

Bode, Jan ; Kühl, Niklas ; Kreuzberger, Dominik ; Holtmann, Carsten:
Towards Avoiding the Data Mess : Industry Insights from Data Mesh Implementations.
In: IEEE Access. Bd. 12 (2024) . - S. 95402-95416.
DOI: https://doi.org/10.1109/ACCESS.2024.3417291

2023

Schemmer, Max ; Bartos, Andrea ; Spitzer, Philipp ; Hemmer, Patrick ; Kühl, Niklas ; Liebschner, Jonas ; Satzger, Gerhard:
Towards Effective Human-AI Decision-Making : The Role of Human Learning in Appropriate Reliance on AI Advice.
2023
Veranstaltung: International Conference on Information Systems (ICIS 2023) , 10.-13.12.2023 , Hyderabad, India.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Deck, Luca ; Schoeffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
A Critical Survey on Fairness Benefits of XAI.
2023
Veranstaltung: XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023 , 16.12.2023 , New Orleans, Louisiana, USA.
(Veranstaltungsbeitrag: Workshop , Vortrag mit Paper )
DOI: https://doi.org/10.48550/arXiv.2310.13007

Haller, Franziska ; Schemmer, Max ; Kühl, Niklas ; Holtmann, Carsten:
Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading.
2023
Veranstaltung: The 31st European Conference on Information Systems (ECIS 2023) , 11.-16.06.2023 , Kristiansand, Norwegen.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Schemmer, Max ; Kühl, Niklas ; Benz, Carina ; Bartos, Andrea ; Satzger, Gerhard:
Appropriate Reliance on AI Advice : Conceptualization and the Effect of Explanations.
In: Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23. - New York, NY, USA : Association for Computing Machinery, 2023 . - S. 410-422
DOI: https://doi.org/10.1145/3581641.3584066

Walk, Jannis ; Kühl, Niklas ; Saidani, Michael ; Schatte, Jürgen:
Artificial intelligence for sustainability : Facilitating sustainable smart product-service systems with computer vision.
In: Journal of Cleaner Production. Bd. 402 (2023) . - 136748.
DOI: https://doi.org/10.1016/j.jclepro.2023.136748

Geiger, Marco ; Martin, Dominik ; Kühl, Niklas:
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images.
In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI , 2023 . - S. 826-834

Beckmann, Christopher ; Berens, Benjamin ; Kühl, Niklas ; Mayer, Peter ; Mossano, Mattia ; Volkamer, Melanie:
Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency.
In: 12th International Workshop on Socio-Technical Aspects in Security. - Cham , 2023 . - (Lecture Notes in Computer Science )

Baier, Lucas ; Schlör, Tim ; Schöffer, Jakob ; Kühl, Niklas:
Detecting Concept Drift With Neural Network Model Uncertainty.
In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI , 2023 . - S. 836-844

Hirt, Robin ; Kühl, Niklas ; Martin, Dominik ; Satzger, Gerhard:
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning.
In: Information Technology & Management. (2023) .
DOI: https://doi.org/10.1007/s10799-023-00399-7

Hemmer, Patrick ; Thede, Lukas ; Vössing, Michael ; Jakubik, Johannes ; Kühl, Niklas:
Learning to Defer with Limited Expert Predictions.
In: Proceedings of the AAAI Conference on Artificial Intelligence. Bd. 37 (2023) Heft 5 . - S. 6002-6011.
DOI: https://doi.org/10.1609/aaai.v37i5.25742

Kreuzberger, Dominik ; Kühl, Niklas ; Hirschl, Sebastian:
Machine learning operations (mlops) : Overview, definition, and architecture.
In: IEEE Access. Bd. 11 (2023) . - S. 31866-31879.
DOI: https://doi.org/10.1109/ACCESS.2023.3262138

Spitzer, Philipp ; Kühl, Niklas ; Heinz, Daniel ; Satzger, Gerhard:
ML-Based Teaching Systems : A Conceptual Framework.
In: Proceedings of the ACM on Human-Computer Interaction. Bd. 7 (2023) Heft CSCW2 . - 348.
DOI: https://doi.org/10.1145/3610197

Schöffer, Jakob ; Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Satzger, Gerhard:
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.
In: HHAI 2023: Augmenting Human Intellect : Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence. - Amsterdam : IOS Press, 2023 . - S. 46-59 . - (Frontiers in Artificial Intelligence and Applications ; 368 )
DOI: https://doi.org/10.3233/FAIA230074

Jakubik, Johannes ; Muszynski, Michal ; Vössing, Michael ; Kühl, Niklas ; Brunschwiler, Thomas:
Toward Foundation Models for Earth Monitoring : Generalizable Deep Learning Models for Natural Hazard Segmentation.
In: 2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings. - Piscataway, NJ , 2023
DOI: https://doi.org/10.48550/arXiv.2301.09318

2022

Kühl, Niklas:
Towards ML products : MLOps & Complementarity.
2022
Veranstaltung: Healthy AI Lab at Chalmers University of Technology , 04.11.2022 , Göteborg, Schweden.
(Veranstaltungsbeitrag: Workshop , Vortrag )

Kühl, Niklas:
Human-AI Complementarity.
2022
Veranstaltung: University of Texas , 03.03.2022 , Austin, TX.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Stauder, Maximilian ; Kühl, Niklas:
AI for in-line vehicle sequence controlling : development and evaluation of an adaptive machine learning artifact to predict sequence deviations in a mixed-model production line.
In: Flexible Services and Manufacturing Journal. Bd. 34 (2022) . - S. 709-747.
DOI: https://doi.org/10.1007/s10696-021-09430-x

Kühl, Niklas ; Schemmer, Max ; Goutier, Marc ; Satzger, Gerhard:
Artificial intelligence and machine learning.
In: Electronic Markets. Bd. 32 (2022) . - S. 2235-2244.
DOI: https://doi.org/10.1007/s12525-022-00598-0

von Zahn, Moritz ; Feuerriegel, Stefan ; Kühl, Niklas:
The cost of fairness in AI : Evidence from e-commerce.
In: Business & Information Systems Engineering. Bd. 64 (2022) . - S. 335-348.
DOI: https://doi.org/10.1007/s12599-021-00716-w

Jakubik, Johannes ; Vössing, Michael ; Kühl, Niklas ; Walk, Jannis ; Satzger, Gerhard:
Data-centric Artificial Intelligence.
Karlsruhe , 2022
DOI: https://doi.org/10.48550/arXiv.2212.11854

Martin, Dominik ; Heinzel, Simon ; Kunze von Bischhoffshausen, Johannes ; Kühl, Niklas:
Deep Learning Strategies for Industrial Surface Defect Detection Systems.
In: Bui, Tung X. (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI , 2022 . - S. 1188-1197

Landwehr, Julius Peter ; Kühl, Niklas ; Walk, Jannis ; Gnädig, Mario:
Design knowledge for deep-learning-enabled image-based decision support systems : evidence from power line maintenance decision-making in press.
In: Business & Information Systems Engineering. Bd. 64 (2022) Heft 6 . - S. 707-728.
DOI: https://doi.org/10.1007/s12599-022-00745-z

Schemmer, Max ; Hemmer, Patrick ; Kühl, Niklas ; Schäfer, Sebastian:
Designing Resilient AI-based Robo-Advisors : A Prototype for Real Estate Appraisal.
2022
Veranstaltung: 17th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2022) , 01.-03.06.2022 , St. Petersburg, FL.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.5445/IR/1000147670

Vössing, Michael ; Kühl, Niklas ; Lind, Matteo ; Satzger, Gerhard:
Designing Transparency for Effective Human-AI Collaboration.
In: Information Systems Frontiers. Bd. 24 (2022) Heft 3 . - S. 877-895.
DOI: https://doi.org/10.1007/s10796-022-10284-3

Maritsch, Martin ; Koch, Kevin ; Thomsen, Hauke ; Kühl, Niklas ; Pfäffli, Matthias ; Weinmann, Wolfgang ; Wortmann, Felix:
Driver state prediction from vehicle signals : An evaluation of segmentation approaches.
In: IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2022 . - S. 1106-1113
DOI: https://doi.org/10.1109/ITSC55140.2022.9922011

Jakubik, Johannes ; Schöffer, Jakob ; Hoge, Vincent ; Vössing, Michael ; Kühl, Niklas:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022 ; Proceedings. Part I. - Cham : Springer, 2022 . - S. 353-368 . - (Communications in Computer and Information Science ; 1752 )
DOI: https://doi.org/10.1007/978-3-031-23618-1_24

Hemmer, Patrick ; Schemmer, Max ; Riefle, Lara ; Rosellen, Nico ; Vössing, Michael ; Kühl, Niklas:
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making.
In: Proceedings of the 30th European Conference on Information Systems (ECIS). - Association for Information Systems, 2022

Hemmer, Patrick ; Schemmer, Max ; Riefle, Lara ; Rosellen, Nico ; Vössing, Michael ; Kühl, Niklas:
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making.
Karlsruhe , 2022
DOI: https://doi.org/10.5445/IR/1000146871

Bunde, Enrico ; Kühl, Niklas ; Meske, Christian:
Fake or Credible? : Towards Designing Services to Support Users' Credibility Assessment of News Content.
In: Bui, Tung X. (Hrsg.): Proceedings of the 55th Hawaii International Conference on System Sciences. - Honolulu, HI , 2022 . - S. 1883-1892

Kühl, Niklas ; Goutier, Marc ; Baier, Lucas ; Wolff, Clemens ; Martin, Dominik:
Human vs. supervised machine learning : Who learns patterns faster?
In: Cognitive Systems Research. Bd. 76 (2022) . - S. 78-92.
DOI: https://doi.org/10.1016/j.cogsys.2022.09.002

Baier, Lucas ; Kühl, Niklas ; Schmitt, Jörg:
Increasing Robustness for Machine Learning Services in Challenging Environments : Limited Resources and No Label Feedback.
In: Arai, Kohei (Hrsg.): Intelligent Systems and Applications : Proceedings of the 2021 Intelligent Systems Conference. Volume 1. - Cham : Springer International Publishing, 2022 . - S. 837-856 . - (Lecture Notes in Networks and Systems ; 294 )
DOI: https://doi.org/10.1007/978-3-030-82193-7_57

Schemmer, Max ; Kühl, Niklas ; Satzger, Gerhard:
Intelligent Decision Assistance Versus Automated Decision-Making : Enhancing Knowledge Work Through Explainable Artificial Intelligence.
In: Bui, Tung X. (Hrsg.): Proceedings of the 55th Hawaii International Conference on System Sciences. - Honolulu, HI , 2022 . - S. 1490-1499

Sager, Christoph ; Zschech, Patrick ; Kühl, Niklas:
labelCloud : A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds.
In: Computer-Aided Design and Applications. Bd. 19 (2022) Heft 6 . - S. 1191-1206.
DOI: https://doi.org/10.14733/cadaps.2022.1191-1206

Schemmer, Max ; Hemmer, Patrick ; Nitsche, Maximilian ; Kühl, Niklas ; Vössing, Michael:
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making.
In: Conitzer, Vincent (Hrsg.): Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. - New York : Association for Computing Machinery, 2022 . - S. 617-626 . - (ACM Conferences )
DOI: https://doi.org/10.1145/3514094.3534128

Hemmer, Patrick ; Schemmer, Max ; Kühl, Niklas ; Vössing, Michael ; Satzger, Gerhard:
On the Effect of Information Asymmetry in Human-AI Teams.
Karlsruhe , 2022
DOI: https://doi.org/10.48550/arXiv.2205.01467

Schemmer, Max ; Kühl, Niklas ; Benz, Carina ; Satzger, Gerhard:
On the Influence of Explainable AI on Automation Bias.
In: Proceedings of the 30th European Conference on Information Systems (ECIS). - Association for Information Systems, 2022

Schöffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
On the Relationship Between Explanations, Fairness Perceptions, and Decisions.
2022
Veranstaltung: ACM CHI Workshop on Human-Centered Explainable AI (HCXAI 2022) , 12.-13.05.2022 , Online.
(Veranstaltungsbeitrag: Workshop , Paper )
DOI: https://doi.org/10.5445/IR/1000147721

Schöffer, Jakob ; De-Arteaga, Maria ; Kühl, Niklas:
On the Relationship Between Explanations, Fairness Perceptions, and Decisions.
Karlsruhe , 2022
DOI: https://doi.org/10.5445/IR/1000145726

Schemmer, Max ; Hemmer, Patrick ; Kühl, Niklas ; Benz, Carina ; Satzger, Gerhard:
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making.
Karlsruhe , 2022
DOI: https://doi.org/10.5445/IR/1000145647

Kühl, Niklas ; Lehner, Jonas:
Technische Bildungsangebote für Geflüchtete : Der Verein Education for Refugees.
In: Stucky, Wolffried (Hrsg.): 50 Jahre AIFB : von 1971 bis 2021. 2. korrigierte, erweiterte Auflage. - Karlsruhe : Karlsruher Institut für Technologie (KIT), 2022 . - S. 211-213

Schöffer, Jakob ; Kühl, Niklas ; Machowski, Yvette:
"There Is Not Enough Information" : On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making.
In: 2022 ACM Conference on Fairness, Accountability, and Transparency : FAccT '22. - New York : Association for Computing Machinery, 2022 . - S. 1616-1628
DOI: https://doi.org/10.1145/3531146.3533218

Spitzer, Philipp ; Kühl, Niklas ; Goutier, Marc:
Training Novices : The Role of Human-AI Collaboration and Knowledge Transfer.
2022
Veranstaltung: Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), The 39th International Conference on Machine Learning , 23.07.2022 , Baltimore, MD, USA.
(Veranstaltungsbeitrag: Workshop , Paper )
DOI: https://doi.org/10.48550/arXiv.2207.00497

Hemmer, Patrick ; Kühl, Niklas ; Schöffer, Jakob:
Utilizing Active Machine Learning for Quality Assurance : A Case Study of Virtual Car Renderings in the Automotive Industry.
In: Bui, Tung X. (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI , 2022 . - S. 1246-1265

Do Thi, Thu Hang ; Dobler, Markus ; Kühl, Niklas:
What to Prioritize? : Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development.
In: Bui, Tung X. (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI , 2022 . - S. 798-807

2021

Vössing, Michael ; Kühl, Niklas ; Satzger, Gerhard:
Transparency in Human-Computer Collaboration : Should I Know What My Computer Is Thinking?
2021
Veranstaltung: Frontiers in Service Conference (2021) , 09.-10.07.2021 , online.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Schuler, Lucia ; Jamil, Somaya ; Kühl, Niklas:
AI-based Resource Allocation : Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments.
In: Lefevre, Laurent ; Patterson, Stacy ; Lee, Young Choon ; Shen, Haiying ; Ilager, Shashikant ; Goudarzi, Mohammad ; Toosi, Adel N. ; Buyya, Rajkumar (Hrsg.): 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) : Proceedings. - Piscataway, NJ : IEEE, 2021 . - S. 804-811
DOI: https://doi.org/10.1109/CCGrid51090.2021.00098

Schöffer, Jakob ; Kühl, Niklas:
Appropriate Fairness Perceptions? : On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems.
In: Birnholtz, Jeremy ; Ciolfi, Luigina ; Ding, Sharon ; Fussell, Susan ; Monroy-Hernández, Andrés ; Munson, Sean ; Shklovski, Irina ; Naaman, Mor (Hrsg.): Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing : CSCW '21 Companion. - New York : Association for Computing Machinery, 2021 . - S. 153-157
DOI: https://doi.org/10.1145/3462204.3481742

Reuter-Oppermann, Melanie ; Kühl, Niklas:
Artificial Intelligence for Healthcare Logistics : An Overview and Research Agenda.
In: Masmoudi, Malek ; Jarboui, Bassem ; Siarry, Patrick (Hrsg.): Artificial Intelligence and Data Mining in Healthcare. - Cham : Springer, 2021 . - S. 1-22
DOI: https://doi.org/10.1007/978-3-030-45240-7_1

Schemmer, Max ; Heinz, Daniel ; Baier, Lucas ; Vössing, Michael ; Kühl, Niklas:
Conceptualizing Digital Resilience for AI-Based Information Systems.
2021
Veranstaltung: 29th European Conference on Information Systems (ECIS 2021) , 14.-16. Juni 2021 , Marrakech, Morocco, Virtual.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.5445/IR/1000131812/post

Enders, Tobias ; Kühl, Niklas ; Walk, Jannis ; Muff, Marc:
Designing Chemical Emergency Response Systems Based on Open Data.
In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021 . - S. 2255-2264
DOI: https://doi.org/10.24251/HICSS.2021.276

Kühl, Niklas ; Martin, Dominik ; Wolff, Clemens ; Volkamer, Melanie:
"Healthy surveillance" : Designing a concept for privacy-preserving mask recognition AI in the age of pandemics.
In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021 . - S. 1706-1715

Kühl, Niklas ; Hirt, Robin ; Baier, Lucas ; Schmitz, Björn ; Satzger, Gerhard:
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research : The Supervised Machine Learning Report Card.
In: Communications of the Association for Information Systems. Bd. 48 (2021) . - S. 589-615.
DOI: https://doi.org/10.17705/1CAIS.04845

Hemmer, Patrick ; Schemmer, Max ; Vössing, Michael ; Kühl, Niklas:
Human-AI Complementarity in Hybrid Intelligence Systems : A Structured Literature Review.
In: PACIS 2021 Proceedings. - Dubai , 2021

Brandes, Markus ; Osthues, Stephan ; Bach, Matthias ; Schel, Peter ; Büsching, Arne ; Schmidt, Udo ; Monger, Michael ; Schnürer, Friedrich ; Müller, Patricia ; Satzger, Gerhard ; Kühl, Niklas ; Vössing, Michael ; Schemmer, Max:
IBM Service Transformation : From product suppliers to service providers.
Armonk, NY 2021 . - 26 S.
DOI: https://doi.org/10.5445/IR/1000131813

Sager, Christoph ; Zschech, Patrick ; Kühl, Niklas:
labelCloud : A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds.
In: Proceedings of CAD'21. - El Paso, TX, USA : CAD Solutions LLC, 2021 . - S. 319-323
DOI: https://doi.org/10.14733/cadconfP.2021.319-323

Zschech, Patrick ; Walk, Jannis ; Heinrich, Kai ; Vössing, Michael ; Kühl, Niklas:
A Picture is Worth a Collaboration : Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems.
In: Proceedings of the 29th European Conference on Information Systems (ECIS). - Marrakech , 2021

Schöffer, Jakob ; Kühl, Niklas ; Valera, Isabel:
A Ranking Approach to Fair Classification.
In: COMPASS '21 : Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies. - New York : Association for Computing Machinery, 2021 . - S. 115-125
DOI: https://doi.org/10.1145/3460112.3471950

Hirt, Robin ; Srivastava, Akash ; Berg, Carlos ; Kühl, Niklas:
Sequential Transfer Machine Learning in Networks : Measuring the Impact of Data and Neural Net Similarity on Transferability.
In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021 . - S. 7078-7087
DOI: https://doi.org/10.24251/HICSS.2021.851

Schöffer, Jakob ; Machowski, Yvette ; Kühl, Niklas:
A Study on Fairness and Trust Perceptions in Automated Decision Making.
In: Glowacka, Dorota ; Krishnamurthy, Vinayak (Hrsg.): Joint Proceedings of the ACM IUI 2021 Workshops. - Aachen : RWTH Aachen, 2021 . - (CEUR Workshop Proceedings ; 2903 )
DOI: https://doi.org/10.5445/IR/1000130551

Baier, Lucas ; Kellner, Vincent ; Kühl, Niklas ; Satzger, Gerhard:
Switching Scheme : A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets.
In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021 . - S. 990-999

Martin, Dominik ; Kühl, Niklas ; Schwenk, Marcel:
Towards a Reference Architecture for Future Industrial Internet of Things Networks.
In: Almeida, João Paulo A. ; Bork, Dominik ; Guizzardi, Giancarlo ; Montali, Marco ; Proper, Henderik A. ; Sales, Tiago P. (Hrsg.): 2021 IEEE 23rd Conference on Business Informatics : CBI 2021. Volume 2. CBI Forum and Workshop Papers. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2021 . - S. 1-9
DOI: https://doi.org/10.1109/CBI52690.2021.10049

Treiss, Alexander ; Walk, Jannis ; Kühl, Niklas:
An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis.
In: Dong, Yuxiao ; Ifrim, Georgiana ; Mladenić, Dunja ; Saunders, Craig ; Van Hoecke, Sofie (Hrsg.): Machine Learning and Knowledge Discovery in Databases : Applied Data Science and Demo Track ; Proceedings, Part V. - Cham : Springer, 2021 . - S. 85-100 . - (Lecture Notes in Computer Science ; 12461 )
DOI: https://doi.org/10.1007/978-3-030-67670-4_6

Martin, Dominik ; Kühl, Niklas ; Satzger, Gerhard:
Virtual Sensors.
In: Business & Information Systems Engineering. Bd. 63 (2021) Heft 3 . - S. 315-323.
DOI: https://doi.org/10.1007/s12599-021-00689-w

Baier, Lucas ; Kühl, Niklas ; Schüritz, Ronny ; Satzger, Gerhard:
Will the Customers Be Happy? : Identifying Unsatisfied Customers from Service Encounter Data.
In: Journal of Service Management. Bd. 32 (2021) Heft 2 . - S. 265-288.
DOI: https://doi.org/10.1108/JOSM-06-2019-0173

2020

Kühl, Niklas ; Martin, Dominik ; Wolff, Clemens ; Volkamer, Melanie:
"Healthy surveillance" : Designing a concept for privacy-preserving mask recognition AI in the age of pandemics.
Karlsruhe , 2020 . - 10 S. - (KIT Working Paper )
DOI: https://doi.org/10.5445/IR/1000120631

Hemmer, Patrick ; Kühl, Niklas ; Schöffer, Jakob:
DEAL : Deep Evidential Active Learning for Image Classification.
In: Wani, M. Arif ; Luo, Feng ; Li, Xiaolin (Andy) ; Dou, Dejing ; Bonchi, Francesco (Hrsg.): 19th IEEE International Conference On Machine Learning And Applications : ICMLA 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020 . - S. 865-870
DOI: https://doi.org/10.1109/ICMLA51294.2020.00141

Wolff, Clemens ; Kühl, Niklas ; Satzger, Gerhard:
Enabling System-Oriented Service Delivery in Industrial Maintenance : A Meta-method for Predicting Industrial Costs of Downtime.
In: Nóvoa, Henriqueta ; Drăgoicea, Monica ; Kühl, Niklas (Hrsg.): Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings. - Cham : Springer, 2020 . - S. 92-106 . - (Lecture Notes in Business Information Processing ; 377 )
DOI: https://doi.org/10.1007/978-3-030-38724-2_7

Wolff, Clemens ; Kühl, Niklas ; Satzger, Gerhard:
Engineering Industrial Service Systems : Design and Evaluation of System-Oriented Service Delivery.
In: Hofmann, Sara ; Müller, Oliver ; Rossi, Matti (Hrsg.): Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings. - Cham : Springer, 2020 . - S. 407-419 . - (Lecture Notes in Computer Science ; 12388 )
DOI: https://doi.org/10.1007/978-3-030-64823-7_39

Nóvoa, Henriqueta ; Drăgoicea, Monica ; Kühl, Niklas:
Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings.
Cham : Springer , 2020 . - xi, 400 S. - (Lecture Notes in Business Information Processing ; 377 )
DOI: https://doi.org/10.1007/978-3-030-38724-2

Martin, Dominik ; Kühl, Niklas ; Maleshkova, Maria:
Grasping the Terminology : Smart Services, Smart Service Systems, and Cyber-Physical Systems.
In: Maleshkova, Maria ; Kühl, Niklas ; Jussen, Philipp (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020 . - S. 7-21
DOI: https://doi.org/10.1007/978-3-030-58182-4_2

Walk, Jannis ; Hirt, Robin ; Kühl, Niklas ; Hersløv, Erik R.:
Half-empty or half-full? : A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime.
In: Nóvoa, Henriqueta ; Drăgoicea, Monica ; Kühl, Niklas (Hrsg.): Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings. - Cham : Springer International Publishing, 2020 . - S. 107-120 . - (Lecture Notes in Business Information Processing ; 377 )
DOI: https://doi.org/10.1007/978-3-030-38724-2_8

Baier, Lucas ; Reimold, Josua ; Kühl, Niklas:
Handling Concept Drift for Predictions in Business Process Mining.
In: 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020 . - S. 76-83
DOI: https://doi.org/10.1109/CBI49978.2020.00016

Baier, Lucas ; Hofmann, Marcel ; Kühl, Niklas ; Mohr, Marisa ; Satzger, Gerhard:
Handling Concept Drifts in Regression Problems : the Error Intersection Approach.
In: Gronau, Norbert ; Heine, Moreen ; Krasnova, Hanna ; Poustcchi, K. (Hrsg.): Entwicklungen, Chancen und Herausforderungen der Digitalisierung : Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Band 1. - Berlin : GITO Verlag, 2020 . - S. 210-224
DOI: https://doi.org/10.30844/wi_2020_c1-baier

Hirt, Robin ; Kühl, Niklas ; Peker, Yusuf ; Satzger, Gerhard:
How to Learn from Others : Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting.
In: 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020 . - S. 20-29
DOI: https://doi.org/10.1109/CBI49978.2020.00010

Vössing, Michael ; Kühl, Niklas:
Industrial Maintenance in the Digital World.
In: Maleshkova, Maria ; Kühl, Niklas ; Jussen, Philipp (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020 . - S. 23-32
DOI: https://doi.org/10.1007/978-3-030-58182-4_3

Karb, Tristan ; Kühl, Niklas ; Hirt, Robin ; Glivici-Cotruță, Varvara:
A network-based transfer learning approach to improve sales forecasting of new products.
In: Proceedings of the 28th European Conference on Information Systems (ECIS). - Marrakech, Morocco , 2020

Martin, Dominik ; Spitzer, Philipp ; Kühl, Niklas:
A New Metric for Lumpy and Intermittent Demand Forecasts : Stock-keeping-oriented Prediction Error Costs.
In: Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53). - Honolulu, Hawaii : ScholarSpace, 2020 . - S. 974-983

Kühl, Niklas ; Fromm, Hansjörg ; Schöffer, Jakob ; Satzger, Gerhard:
Service Analytics : Putting the "Smart" in Smart Services.
In: Maleshkova, Maria ; Kühl, Niklas ; Jussen, Philipp (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020 . - S. 151-159
DOI: https://doi.org/10.1007/978-3-030-58182-4_13

Martin, Dominik ; Kühl, Niklas ; Kunze von Bischhoffshausen, Johannes:
Smart Services : A Condition Monitoring Use Case Utilizing System-Wide Analyses.
In: Maleshkova, Maria ; Kühl, Niklas ; Jussen, Philipp (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020 . - S. 179-191
DOI: https://doi.org/10.1007/978-3-030-58182-4_16

Kühl, Niklas ; Mühlthaler, Marius ; Goutier, Marc:
Supporting customer-oriented marketing with artificial intelligence : automatically quantifying customer needs from social media.
In: Electronic Markets. Bd. 30 (2020) Heft 2 . - S. 351-367.
DOI: https://doi.org/10.1007/s12525-019-00351-0

Martin, Dominik ; Kühl, Niklas ; Kunze von Bischhoffshausen, Johannes ; Satzger, Gerhard:
System-wide Learning in Cyber-Physical Service Systems : A Research Agenda.
In: Hofmann, Sara ; Müller, Oliver ; Rossi, Matti (Hrsg.): Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings. - Cham : Springer, 2020 . - S. 457-468 . - (Lecture Notes in Computer Science ; 12388 )
DOI: https://doi.org/10.1007/978-3-030-64823-7_44

Walk, Jannis ; Kühl, Niklas ; Schäfer, Jonathan:
Towards Leveraging End-of-Life Tools as an Asset : Value Co-Creation based on Deep Learning in the Machining Industry.
In: Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53). - Honolulu, Hawaii : ScholarSpace, 2020 . - S. 995-1004

Treiss, Alexander ; Walk, Jannis ; Kühl, Niklas:
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis.
Karlsruhe , 2020
DOI: https://doi.org/10.48550/arXiv.2007.07129

2019

Kühl, Niklas:
Der Aufstieg von KI : Von grenzenlosen Chancen bis zu existenziellen Risiken.
2019
Veranstaltung: KI goes KMU: Auf die Überholspur? Das „Tanker-Schnellboot-Syndrom“: Von der Chance, große Unternehmen durch Algorithmen, Neuronale Netze und Machine Learning zu überholen , 17.07.-18.07.2019 , Köln.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Kühl, Niklas:
Artificial Intelligence in Service Systems.
2019
Veranstaltung: Wharton School Research Talk , 22.03.2019 , Philadelphia, PA, USA.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Hirt, Robin ; Kühl, Niklas:
How to Learn from Others? A Research Agenda on Transfer Machine Learning for Sales Forecasting.
2019
Veranstaltung: MIT-IBM Watson AI Lab (2019) , Cambridge, MA, USA.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Wolff, Clemens ; Kimbrough, Steven O. ; Kühl, Niklas:
Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery.
In: Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Smart Service Systems and Service Science. - München : AIS eLibrary (AISeL), 2019

Kühl, Niklas:
Applied AI in Services.
2019
Veranstaltung: Research Presentation (2019), The Wharton School of the University of Pennsylvania , 22.03.2019 , Philadelphia, PA, USA.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Kühl, Niklas:
Artificial Intelligence in Service Systems.
2019
Veranstaltung: Invited Seminar (2018), University of Auckland , Auckland, Neuseeland , 19.12.2018.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Kühl, Niklas ; Martin, Dominik ; Satzger, Gerhard:
Automatically Extracting and Analyzing Customer Needs from Twitter : A "Needmining" Prototype.
In: Ludwig, Thomas ; Pipek, Volkmar (Hrsg.): Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband. - Siegen : Universität Siegen, 2019 . - S. 1981-1984

Hirt, Robin ; Kühl, Niklas:
Cognition in the Era of Smart Service Systems : Inter-organizational Analytics through Meta and Transfer Learning.
In: Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 5. - Red Hook, NY : Curran Associates, Inc., 2019 . - S. 4099-4107

Hirt, Robin ; Kühl, Niklas ; Satzger, Gerhard:
Cognitive computing for customer profiling : meta classification for gender prediction.
In: Electronic Markets. Bd. 29 (2019) Heft 1 . - S. 93-106.
DOI: https://doi.org/10.1007/s12525-019-00336-z

Vössing, Michael ; Lind, Matteo ; Kühl, Niklas ; Satzger, Gerhard:
Design Principles for Human-Computer Collaboration.
In: Morana, Stefan ; Pfeiffer, Jella (Hrsg.): Proceedings of the Workshop on Designing User Assistance in Intelligent Systems, Stockholm, Sweden, 2019. - Karlsruhe : Karlsruher Institut für Technologie, 2019 . - S. 13-15 . - (KIT Scientific Working Papers ; 120 )
DOI: https://doi.org/10.5445/IR/1000095225

Vössing, Michael ; Potthoff, Felix ; Kühl, Niklas ; Satzger, Gerhard:
Designing Useful Transparency to Improve Process Performance : Evidence from an Automated Production Line.
In: ECIS 2019 proceedings. - Stockholm : Association for Information Systems, 2019

Kühl, Niklas ; Lobana, Jodie ; Meske, Christian:
Do you comply with AI? : Personalized explanations of learning algorithms and their impact on employees' compliance behavior.
In: Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Paper-A-Thon. - München : AIS eLibrary (AISeL), 2019

Martin, Dominik ; Kühl, Niklas:
Holistic System-Analytics as an Alternative to Isolated Sensor Technology : A Condition Monitoring Use Case.
In: Bui, Tung X. (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019 . - S. 1005-1012
DOI: https://doi.org/10.24251/HICSS.2019.124

Baier, Lucas ; Kühl, Niklas ; Satzger, Gerhard:
How to Cope with Change? Preserving Validity of Predictive Services over Time.
In: Bui, Tung X. (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019 . - S. 1085-1094

Kühl, Niklas ; Goutier, Marc ; Ensslen, Axel ; Jochem, Patrick:
Literature vs. Twitter : Empirical insights on customer needs in e-mobility.
In: Journal of Cleaner Production. Bd. 213 (2019) . - S. 508-520.
DOI: https://doi.org/10.1016/j.jclepro.2018.12.003

Kühl, Niklas ; Goutier, Marc ; Hirt, Robin ; Satzger, Gerhard:
Machine Learning in Artificial Intelligence : Towards a Common Understanding.
In: Bui, Tung X. (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019 . - S. 5236-5245

Wolff, Clemens ; Reuter-Oppermann, Melanie ; Kühl, Niklas:
On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance.
In: Bui, Tung X. (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019 . - S. 1896-1905

Martin, Dominik ; Hirt, Robin ; Kühl, Niklas:
Service Systems, Smart Service Systems and Cyber-Physical Systems : What’s the difference? Towards a Unified Terminology.
In: Ludwig, Thomas ; Pipek, Volkmar (Hrsg.): Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband. - Siegen : Universität Siegen, 2019 . - S. 17-31

Satzger, Gerhard ; Kühl, Niklas ; Martin, Andrea:
Unterstützung der Wissensarbeit durch Künstliche Intelligenz : Anforderungen an die Gestaltung maschinellen Lernens.
In: Arbeit interdisziplinär : analysieren, bewerten, gestalten ; 65. Kongress der Gesellschaft für Arbeitswissenschaft. - Dortmund : GfA-Press, 2019
DOI: https://doi.org/10.5445/IR/1000088849

2018

Kühl, Niklas:
Künstliche Intelligenz für industrielle Dienstleistungen.
2018
Veranstaltung: Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management" , 12.10.2018 , Karlsruhe.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Kühl, Niklas:
From Goldfish to God : The (dangerous) Growth of AI.
2018
Veranstaltung: Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018) , 21.06.2018 , Karlsruhe.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Kühl, Niklas:
IGNITE-Talk : How to design successful products and services with Needmining.
2018
Veranstaltung: 51st Hawaii International Conference on System Sciences (HICSS 2018) , 03.-06.01.2018 , Waikoloa, HI, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Kühl, Niklas ; Mühlthaler, Marius ; Goutier, Marc:
Automatically Quantifying Customer Need Tweets : Towards a Supervised Machine Learning Approach.
In: 51st Hawaii International Conference on System Sciences (HICSS 2018). Volume 1. - Red Hook, NY : Curran Associates, Inc., 2018 . - S. 467-476

Laing, Svenja ; Kühl, Niklas:
Comfort-as-a-Service : Designing a User-Oriented Thermal Comfort Artifact for Office Buildings.
In: Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 2. - Red Hook, NY : Curran Associates, Inc., 2018 . - S. 863-879

Exploring Service Science : 9th International Conference, IESS 2018 ; Proceedings.
Hrsg.: Satzger, Gerhard ; Patricio, Lia ; Zaki, Mohamed ; Kühl, Niklas ; Hottum, Peter
Cham : Springer , 2018 . - XIII, 416 S. - (Lecture Notes in Business Information Processing ; 331 )
DOI: https://doi.org/10.1007/978-3-030-00713-3

Kühl, Niklas ; Goutier, Marc:
Needmining : Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data.
In: Fink, Andreas ; Fügenschuh, Armin ; Geiger, Martin Josef (Hrsg.): Operations Research Proceedings 2016 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR). - Cham : Springer, 2018 . - S. 165-170 . - (Operations Research Proceedings )
DOI: https://doi.org/10.1007/978-3-319-55702-1

Wolff, Clemens ; Kühl, Niklas ; Satzger, Gerhard:
System-Oriented Service Delivery : The Application of Service System Engineering to Service Delivery.
In: Proceedings of the 26th European Conference on Information Systems (ECIS). - Portsmouth, UK : Association for Information Systems, 2018

Hirt, Robin ; Kühl, Niklas ; Schmitz, Björn ; Satzger, Gerhard:
Towards Service-oriented Cognitive Analytics for Smart Service Systems.
In: Proceedings of the 51st Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2018 . - S. 1622-1629

Wolff, Clemens ; Vössing, Michael ; Kühl, Niklas:
Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery.
In: Rabe, Markus ; Juan, A. A. ; Mustafee, N. ; Skoogh, A. ; Jain, S. ; Johansson, B. (Hrsg.): Simulation for a noble cause : Proceedings of the 2018 Winter Simulation Conference. - Piscataway, NJ : IEEE Press, 2018 . - S. 3205-3216
DOI: https://doi.org/10.1109/WSC.2018.8632259

Martin, Dominik ; Kühl, Niklas ; Stryja, Carola ; Haude, Jan:
White Spots in Business and IT : An Explorative Study for E-Mobility Services.
In: World Electric Vehicle Journal. Bd. 9 (2018) Heft 2 . - 27.
DOI: https://doi.org/10.3390/wevj9020027

Kühl, Niklas:
White spots in business and IT : An explorative study for e-mobility services.
In: 30th International Electric Vehicle Symposium (EVS 30). Volume 4. - Red Hook, NY : Curran Associates, Inc., 2018 . - S. 2225-2233

2017

Hirt, Robin ; Kühl, Niklas:
Abbildung kognitiver Fähigkeiten mit Metamodellen.
In: Eibl, Maximilian ; Gaedke, Martin (Hrsg.): INFORMATIK 2017. Band 3. - Bonn : Gesellschaft für Informatik (GI), 2017 . - S. 2301-2307 . - (GI-Edition : Proceedings ; 275 )
DOI: https://doi.org/10.18420/in2017_231

Engel, Christian ; Haude, Jan ; Kühl, Niklas:
Business Model Clustering : A network-based approach in the field of e-mobility services.
In: Hottum, Peter ; Reuter-Oppermann, Melanie ; Hall, Margeret ; Maleshkova, Maria ; Jochem, Patrick (Hrsg.): Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February, 2016. - Karlsruhe : Karlsruher Institut für Technologie, 2017 . - S. 11-25 . - (KIT Scientific Working Papers ; 69 )
DOI: https://doi.org/10.5445/IR/1000076317

Kühl, Niklas ; Goutier, Marc ; Ensslen, Axel ; Jochem, Patrick:
Empirical insights on customer needs in e-mobility product service systems.
2017
Veranstaltung: GOR-IE Workshop "Approaches on Operations Research and Industrial Ecology for a Sustainable Resource and Energy Management" , 9.-10.03.2017 , Freiberg.
(Veranstaltungsbeitrag: Workshop , Paper )

Kühl, Niklas ; Hunke, Fabian:
Empirische Studie I : Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining.
In: Stryja, Carola ; Kühl, Niklas ; Satzger, Gerhard (Hrsg.): Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen. - Stuttgart : Fraunhofer Verlag, 2017 . - S. 43-51 . - (DELFIN : Dienstleistungen für Elektromobilität, Förderung von Innovation und Nutzerorientierung )

Hirt, Robin ; Kühl, Niklas ; Satzger, Gerhard:
An End-to-End Process Model for Supervised Machine Learning Classification : From Problem to Deployment in Information Systems.
In: Maedche, Alexander ; vom Brocke, Jan ; Hevner, Alan (Hrsg.): Designing the Digital Transformation : DESRIST 2017 Research in Progress Proceedings. - Karlsruhe : Karlsruher Institut für Technologie, 2017 . - S. 55-63 . - (KIT Scientific Working Papers ; 64 )
DOI: https://doi.org/10.5445/IR/1000069452

Stryja, Carola ; Kühl, Niklas ; Satzger, Gerhard:
Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen.
Stuttgart : Fraunhofer Verlag , 2017 . - 91 S. - (DELFIN : Dienstleistungen für Elektromobilität, Förderung von Innovation und Nutzerorientierung )

Kühl, Niklas:
Needmining : automated analytical support for customer need elicitation.
Karlsruhe : Karlsruher Institut für Technologie (KIT) , 2017 . - vii, 200 S.
( Dissertation, 2017, Karlsruher Institut für Technologie (KIT), Fakultät für Wirtschaftswissenschaften)

Kühl, Niklas:
Needmining : Towards a Modern Approach of Need Elicitation.
2017
Veranstaltung: Doctoral Consortium , 11.-12.02.2017 , St. Gallen, Schweiz.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Hunke, Fabian ; Schüritz, Ronny ; Kühl, Niklas:
Towards a Unified Approach to Identify Business Model Patterns : A Case of E-Mobility Services.
In: Za, Stefano ; Drăgoicea, Monica ; Cavallari, Maurizio (Hrsg.): Exploring services science : IESS 2017 ; Proceedings. - Cham : Springer International Publishing, 2017 . - S. 182-196 . - (Lecture Notes in Business Information Processing ; 279 )
DOI: https://doi.org/10.1007/978-3-319-56925-3_15

2016

Ensslen, Axel ; Kühl, Niklas ; Stryja, Carola ; Jochem, Patrick:
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles.
In: World Electric Vehicle Journal. Bd. 8 (2016) Heft 3 . - S. 673-684.
DOI: https://doi.org/10.3390/wevj8030673

Ensslen, Axel ; Kühl, Niklas ; Stryja, Carola ; Jochem, Patrick:
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles.
In: 29th International Electric Vehicle Symposium 2016 (EVS29) : Proceedings. Volume 1. - Red Hook, NY : Curran Associates, Inc., 2016 . - S. 133-145
DOI: https://doi.org/10.5445/IR/1000059712

Kühl, Niklas ; Goutier, Marc:
“Need tweets” : New insights about customer needs from micro blog data in the field of e-mobility.
In: Mayr, Heinrich C. ; Pinzger, Martin (Hrsg.): Informatik 2016. - Bonn : Gesellschaft für Informatik, 2016 . - S. 1363-1376 . - (GI-Edition : Proceedings ; 259 )

Kühl, Niklas ; Satzger, Gerhard:
Needmining : Analytically Identifying Customer Needs for Designing New Services.
2016
Veranstaltung: 25th Annual Frontiers in Service Conference , 23.- 26.06.2016 , Bergen, Norway.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Kühl, Niklas ; Scheurenbrand, Jan ; Satzger, Gerhard:
Needmining : Identifying micro blog data containing customer needs.
In: Information systems as a global gateway : research papers. - Istanbul : Association for Information Systems (AIS), 2016

Kühl, Niklas:
Needmining : Towards analytical support for service design.
In: Borangiu, Theodor ; Drăgoicea, Monica ; Nóvoa, Henriqueta (Hrsg.): Exploring Services Science : 7th International Conference, IESS 2016 ; Proceedings. - Cham : Springer, 2016 . - S. 187-200 . - (Lecture Notes in Business Information Processing ; 247 )
DOI: https://doi.org/10.1007/978-3-319-32689-4_14

Kühl, Niklas ; Scheurenbrand, Jan ; Satzger, Gerhard:
"Needs from Tweets" : Towards Deriving Customer Needs From Micro Blog Data.
In: Nissen, Volker ; Stelzer, Dirk ; Straßburger, Steffen ; Fischer, Daniel (Hrsg.): Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Band 2. - Ilmenau : Universitätsverlag, 2016 . - S. 1229-1232

Kühl, Niklas ; Lehner, Jonas:
Programming for Refugees : An Active Learning Approach for Teaching Java to Heterogeneous Groups.
In: Mayr, Heinrich C. ; Pinzger, Martin (Hrsg.): Informatik 2016. - Bonn : Gesellschaft für Informatik, 2016 . - S. 1175-1178 . - (GI-Edition : Proceedings ; 259 )

Kühl, Niklas ; Kolz, Dominik ; Cocca, Sabrina:
Services for Electric Mobility.
2016
Veranstaltung: Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360° , 18.-20.10.2016 , München.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Eckstein, Lena ; Kühl, Niklas ; Satzger, Gerhard:
Towards Extracting Customer Needs from Incident Tickets in IT Services.
In: Kornyshova, Elena ; Poels, Geert ; Huemer, Christian ; Wattiau, Isabelle ; Matthes, Florian ; Sanz, Jorge (Hrsg.): 2016 IEEE 18th Conference on Business Informatics (CBI). Volume 1. Conference papers. - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016 . - S. 200-207
DOI: https://doi.org/10.1109/CBI.2016.30

2015

Schüritz, Ronny ; Kühl, Niklas ; Stryja, Carola ; Hottum, Peter ; Satzger, Gerhard:
Business Models for Electric Mobility Services : Development of a user focused framework.
2015
Veranstaltung: 24th Annual Frontiers in Service Conference , 09.-12.07.2015 , San Jose, California, USA.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Vortrag )

Stryja, Carola ; Schüritz, Ronny ; Kühl, Niklas ; Hottum, Peter ; Satzger, Gerhard:
Entwicklung eines Frameworks zur Beschreibung von Geschäftsmodellen für Elektromobilitätsdienstleistungen.
2015
Veranstaltung: Energiesysteme im Wandel : Evolution oder Revolution? 9. Internationale Energiewirtschaftstagung (IEWT 2017) , 11.-13.02.2015 , Wien, Österreich.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )

Kühl, Niklas ; Stryja, Carola:
Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen.
In: Beverungen, Daniel ; Fabry, Christian ; Ganz, Walter ; Matzner, Martin ; Satzger, Gerhard (Hrsg.): Dienstleistungsinnovationen für Elektromobilität : Märkte, Geschäftsmodelle, Kooperationen. - Stuttgart : Fraunhofer Verlag, 2015 . - S. 25-40 . - (DELFIN : Dienstleistungen für Elektromobilität, Förderung von Innovation und Nutzerorientierung )

Scheurenbrand, Jan ; Engel, Christian ; Peters, Florin ; Kühl, Niklas:
Holistically Defining E-Mobility : A Modern Approach to Systematic Literature Reviews.
In: Görlitz, Roland ; Bertsch, Valentin ; Caton, Simon ; Feldmann, Niels ; Jochem, Patrick ; Maleshkova, Maria ; Reuter-Oppermann, Melanie (Hrsg.): Proceedings of the First Karlsruhe Service Summit Workshop : Advances in Service Research. - Karlsruhe : KIT Scientific Publishing, 2015 . - S. 17-27 . - (KIT Scientific Reports ; 7692 )
DOI: https://doi.org/10.5445/KSP/1000045634

Kühl, Niklas:
Identifying Customer Needs Using Micro Blog Data.
2015
Veranstaltung: RESER 2015 Doctoral Colloquium , 08.-09.09.2015 , Roskilde, Denmark.
(Veranstaltungsbeitrag: Sonstige Veranstaltungsart, Vortrag )

Hottum, Peter ; Kühl, Niklas ; Stryja, Carola:
Netzwerke und Allianzen.
In: Cocca, Sabrina ; Fabry, Christian ; Stryia, Carola (Hrsg.): Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie. - Stuttgart : Fraunhofer Verlag, 2015 . - S. 47-61 . - (DELFIN : Dienstleistungen für Elektromobilität, Förderung von Innovation und Nutzerorientierung )

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