Prof. Dr. Niklas Kühl

Niklas Kühl ist W3 Professor und Inhaber des Lehrstuhls für Wirtschaftsinformatik und humanzentrische Künstliche Intelligenz an der Universität Bayreuth. Zudem ist er ist in leitender Funktion am Institutsteil WI des Fraunhofer FIT tätig. Er ist weiterhin Direktor am FIM Forschungsinstitut für Informationsmanagement sowie Senior Expert Artificial Intelligence bei IBM.

Niklas Kühl forscht an der Schnittstelle von maschinellem Lernen und dessen Anwendung in innovativen Kontexten in Industrie und Gesellschaft. Seine Forschungsschwerpunkte ergeben sich aus der interdisziplinären Kombination von technischen und humanzentrischen Methoden bei der Entwicklung soziotechnischer Informationssysteme. Dazu gehören Themen wie die automatisierte Erkennung von Bedürfnissen in sozialen Medien, das maschinelle Lernen über Unternehmensgrenzen hinweg, die Entwicklung von robusten und skalierbaren KI-Produkten, die Gestaltung der Zusammenarbeit zwischen Menschen und KI, die Erforschung von angemessenem Vertrauen von Menschen in KI-Entscheidungen, die Ausgestaltung von Fairness in der KI-Entscheidungsfindung sowie die Auswirkungen und den Nutzen von KI für Themen der Nachhaltigkeit.

Von 2020 bis 2023 arbeitete Niklas Kühl als Managing Consultant Data Science bei IBM, wo er KI-Projekte im Energiebereich geleitet hat. Von 2017 bis 2023 war er Postdoc am Karlsruhe Service Research Institute (KSRI) des KIT, wo er das Applied AI in Services Lab aufgebaut und geleitet hat. 2017 promovierte er zu dem Thema „Needmining: automated analytical support for customer need elicitation“ mit summa cum laude am KIT. Vorher studierte er Wirtschaftsingenieurwesen, ebenfalls am KIT. Neben seinem Studium sammelte er praktische Erfahrung bei Porsche Business Services in Chicago, der Porsche AG in Weissach sowie der aleo solar GmbH in Oldenburg.

Niklas Kühl arbeitet mit verschiedenen internationalen Institutionen zusammen, an denen er regelmäßige Forschungsaufenthalte absolviert und die Ergebnisse seiner Forschung präsentiert. Dazu gehören die University of Warwick, die University of Auckland, das MIT-IBM Watson AI Lab, die Wharton School der University of Pennsylvania und die University of Texas at Austin.

Niklas Kühl hat über 100 begutachtete Artikel veröffentlicht, darunter Beiträge in Zeitschriften wie Cognitive Systems Research, Communications of the AIS, Journal of Cleaner Production, Business & Information Systems Engineering, IEEE Access, Information Systems Frontiers, Electronic Markets, Journal of Service Management, Information Technology & Management, Flexible Services and Manufacturing sowie Beiträge in Konferenzbänden wie AAAI, ECML/PKDD, ACM FAccT, ACM CSCW, ACM/AAAI AIES, ACM IUI, IEEE ITSC, IEEE/ACM CCGrid, ICIS, ECIS, HICSS, IEEE CBI und weiteren. Seine Beiträge wurden mit verschiedenen Best Paper Awards ausgezeichnet.

Er ist Mitglied der German Data Science Society (GDS), der Association for Computing Machinery (ACM), der Association for Information Systems (AIS), dem Verband der Hochschullehrerinnen und Hochschullehrer für Betriebswirtschaft e.V. (VHB) sowie dem Deutschen Hochschulverband (DHV). 2015 gründete er den Verein Education for Refugees e.V., der systematisch Bildungsangebote in MINT-Fächern für Geflüchtete bereitstellt. Dort war er sieben Jahre Vorstand.

Prof. Dr.

Niklas Kühl

Universität Bayreuth
Lehrstuhl für Wirtschaftsinformatik und humanzentrische Künstliche Intelligenz
Office Bayreuth

Veröffentlichungen

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages


The 38th Annual AAAI Conference on Artificial Intelligence, 2024
Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas KühlEref

Designing a computer-vision-based artifact for automated quality control: a case study in the food industry


Flexible Services and Manufacturing Journal, 2024
Felix Xiong, Niklas Kühl, Maximilian StauderEref

Data-centric artificial intelligence


Business & Information Systems Engineering, 2024
Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard SatzgerEref

The Impact of Imperfect XAI on Human-AI Decision-Making


Proceedings of the ACM on Human-Computer Interaction, 2024
Katelyn Morrison, Philipp Spitzer, Violet Turri, Michelle Feng, Niklas Kühl, Adam PererEref

Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice


International Conference on Information Systems (ICIS 2023), 2023
Max Schemmer, Andrea Bartos, Philipp Spitzer, Patrick Hemmer, Niklas Kühl, Jonas Liebschner, Gerhard SatzgerEref

AB2CD: AI for Building Climate Damage Classification and Detection


AAAI 2023 FALL SYMPOSIUM SERIES on Artificial Intelligence and Climate : The Role of AI in a Climate-Smart Sustainable Future, 2023
Maximilian Nitsche, Surya Karthik Mukkavilli, Niklas Kühl, Thomas BrunschwilerEref

A Critical Survey on Fairness Benefits of XAI


XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023, 2023
Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas KühlEref
Veröffentlichung

Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading


The 31st European Conference on Information Systems (ECIS 2023), 2023
Franziska Haller, Max Schemmer, Niklas Kühl, Carsten HoltmannEref
Veröffentlichung

Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations


Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23, 2023
Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard SatzgerEref

Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision


Journal of Cleaner Production, 2023
Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen SchatteEref

Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images


Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Marco Geiger, Dominik Martin, Niklas KühlEref
Veröffentlichung

Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency


12th International Workshop on Socio-Technical Aspects in Security, 2023
Christopher Beckmann, Benjamin Berens, Niklas Kühl, Peter Mayer, Mattia Mossano, Melanie VolkamerEref

Detecting Concept Drift With Neural Network Model Uncertainty


Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas KühlEref
Veröffentlichung

Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning


Information Technology & Management, 2023
Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard SatzgerEref

Learning to Defer with Limited Expert Predictions


Proceedings of the 37th AAAI Conference on Artificial Intelligence. Volume 5. Technical Tracks, 2023
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas KühlEref

Machine learning operations (mlops): Overview, definition, and architecture


IEEE Access, 2023
Dominik Kreuzberger, Niklas Kühl, Sebastian HirschlEref

ML-Based Teaching Systems: A Conceptual Framework


Proceedings of the ACM on Human-Computer Interaction, 2023
Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard SatzgerEref

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making


HHAI 2023: Augmenting Human Intellect : Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence, 2023
Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard SatzgerEref

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation


2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings, 2023
Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas BrunschwilerEref

Towards ML products: MLOps & Complementarity


Healthy AI Lab at Chalmers University of Technology, 2022
Niklas KühlEref

Human-AI Complementarity


University of Texas, 2022
Niklas KühlEref

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


Flexible Services and Manufacturing Journal, 2022
Maximilian Stauder, Niklas KühlEref

Artificial intelligence and machine learning


Electronic Markets, 2022
Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard SatzgerEref

The cost of fairness in AI: Evidence from e-commerce


Business & Information Systems Engineering, 2022
Moritz von Zahn, Stefan Feuerriegel, Niklas KühlEref

Data-centric Artificial Intelligence

2022
Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard SatzgerEref
Veröffentlichung

Deep Learning Strategies for Industrial Surface Defect Detection Systems


Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022
Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas KühlEref
Veröffentlichung

Design knowledge for deep-learning-enabled image-based decision support systems: evidence from power line maintenance decision-making in press


Business & Information Systems Engineering, 2022
Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario GnädigEref

Designing Resilient AI-based Robo-Advisors: A Prototype for Real Estate Appraisal


17th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2022), 2022
Max Schemmer, Patrick Hemmer, Niklas Kühl, Sebastian SchäferEref

Designing Transparency for Effective Human-AI Collaboration


Information Systems Frontiers, 2022
Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard SatzgerEref

Driver state prediction from vehicle signals: An evaluation of segmentation approaches


IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
Martin Maritsch, Kevin Koch, Hauke Thomsen, Niklas Kühl, Matthias Pfäffli, Wolfgang Weinmann, Felix WortmannEref

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making


Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022 ; Proceedings. Part I, 2022
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas KühlEref

Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making


Proceedings of the 30th European Conference on Information Systems (ECIS), 2022
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas KühlEref
Veröffentlichung

Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making

2022
Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas KühlEref
Veröffentlichung

Fake or Credible?: Towards Designing Services to Support Users' Credibility Assessment of News Content


Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Enrico Bunde, Niklas Kühl, Christian MeskeEref
Veröffentlichung

Human vs. supervised machine learning: Who learns patterns faster?


Cognitive Systems Research, 2022
Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik MartinEref

Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback


Intelligent Systems and Applications : Proceedings of the 2021 Intelligent Systems Conference. Volume 1, 2022
Lucas Baier, Niklas Kühl, Jörg SchmittEref

Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence


Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Max Schemmer, Niklas Kühl, Gerhard SatzgerEref
Veröffentlichung

labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds


Computer-Aided Design and Applications, 2022
Christoph Sager, Patrick Zschech, Niklas KühlEref

A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making


Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael VössingEref

On the Effect of Information Asymmetry in Human-AI Teams

2022
Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard SatzgerEref
Veröffentlichung

On the Influence of Explainable AI on Automation Bias


Proceedings of the 30th European Conference on Information Systems (ECIS), 2022
Max Schemmer, Niklas Kühl, Carina Benz, Gerhard SatzgerEref
Veröffentlichung

On the Relationship Between Explanations, Fairness Perceptions, and Decisions


ACM CHI Workshop on Human-Centered Explainable AI (HCXAI), 12.-13. Mai 2022, 2022
Jakob Schöffer, Maria De-Arteaga, Niklas KühlEref

On the Relationship Between Explanations, Fairness Perceptions, and Decisions

2022
Jakob Schöffer, Maria De-Arteaga, Niklas KühlEref
Veröffentlichung

Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making

2022
Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard SatzgerEref
Veröffentlichung

Technische Bildungsangebote für Geflüchtete: Der Verein Education for Refugees


50 Jahre AIFB : von 1971 bis 2021. 2. korrigierte, erweiterte Auflage, 2022
Niklas Kühl, Jonas LehnerEref

"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making


2022 ACM Conference on Fairness, Accountability, and Transparency : FAccT '22, 2022
Jakob Schöffer, Niklas Kühl, Yvette MachowskiEref

Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer


Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), The 39th International Conference on Machine Learning, 2022
Philipp Spitzer, Niklas Kühl, Marc GoutierEref

Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry


Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022
Patrick Hemmer, Niklas Kühl, Jakob SchöfferEref
Veröffentlichung

What to Prioritize?: Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development


Proceedings of the 55th Annual Hawaii International Conference on System Sciences, 2022
Thu Hang Do Thi, Markus Dobler, Niklas KühlEref
Veröffentlichung

Transparency in Human-Computer Collaboration: Should I Know What My Computer Is Thinking?


Frontiers in Service Conference (2021), 2021
Michael Vössing, Niklas Kühl, Gerhard SatzgerEref

AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments


21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) : Proceedings, 2021
Lucia Schuler, Somaya Jamil, Niklas KühlEref

Appropriate Fairness Perceptions?: On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems


Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing : CSCW '21 Companion, 2021
Jakob Schöffer, Niklas KühlEref

Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda


Artificial Intelligence and Data Mining in Healthcare, 2021
Melanie Reuter-Oppermann, Niklas KühlEref

Conceptualizing Digital Resilience for AI-Based Information Systems


29th European Conference on Information Systems (ECIS 2021), 2021
Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas KühlEref

Designing Chemical Emergency Response Systems Based on Open Data


Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), 2021
Tobias Enders, Niklas Kühl, Jannis Walk, Marc MuffEref

"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics


Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), 2021
Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie VolkamerEref
Veröffentlichung

How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card


Communications of the Association for Information Systems, 2021
Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard SatzgerEref

Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review


PACIS 2021 Proceedings, 2021
Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas KühlEref
Veröffentlichung

IBM Service Transformation: From product suppliers to service providers

2021
Markus Brandes, Stephan Osthues, Matthias Bach, Peter Schel, Arne Büsching, Udo Schmidt, Michael Monger, Friedrich Schnürer, Patricia Müller, Gerhard Satzger, Niklas Kühl, Michael Vössing, Max SchemmerEref

labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds


Proceedings of CAD'21, 2021
Christoph Sager, Patrick Zschech, Niklas KühlEref

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems


Proceedings of the 29th European Conference on Information Systems (ECIS), 2021
Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas KühlEref
Veröffentlichung

A Ranking Approach to Fair Classification


COMPASS '21 : Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies, 2021
Jakob Schöffer, Niklas Kühl, Isabel ValeraEref

Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability


Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), 2021
Robin Hirt, Akash Srivastava, Carlos Berg, Niklas KühlEref

A Study on Fairness and Trust Perceptions in Automated Decision Making


Joint Proceedings of the ACM IUI 2021 Workshops, 2021
Jakob Schöffer, Yvette Machowski, Niklas KühlEref

Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets


Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), 2021
Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard SatzgerEref
Veröffentlichung

Towards a Reference Architecture for Future Industrial Internet of Things Networks


2021 IEEE 23rd Conference on Business Informatics : CBI 2021. Volume 2. CBI Forum and Workshop Papers, 2021
Dominik Martin, Niklas Kühl, Marcel SchwenkEref

An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis


Machine Learning and Knowledge Discovery in Databases : Applied Data Science and Demo Track ; Proceedings, Part V, 2021
Alexander Treiss, Jannis Walk, Niklas KühlEref

Virtual Sensors


Business & Information Systems Engineering, 2021
Dominik Martin, Niklas Kühl, Gerhard SatzgerEref

Will the Customers Be Happy?: Identifying Unsatisfied Customers from Service Encounter Data


Journal of Service Management, 2021
Lucas Baier, Niklas Kühl, Ronny Schüritz, Gerhard SatzgerEref

"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics

2020
Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie VolkamerEref

DEAL: Deep Evidential Active Learning for Image Classification


19th IEEE International Conference On Machine Learning And Applications : ICMLA 2020 ; Proceedings, 2020
Patrick Hemmer, Niklas Kühl, Jakob SchöfferEref

Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime


Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings, 2020
Clemens Wolff, Niklas Kühl, Gerhard SatzgerEref

Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery


Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings, 2020
Clemens Wolff, Niklas Kühl, Gerhard SatzgerEref

Exploring Service Science: 10th International Conference, IESS 2020 ; Proceedings


10th International Conference (IESS 2020), 2020
Henriqueta Nóvoa, Monica Drăgoicea, Niklas KühlEref

Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems


Smart Service Management : Design Guidelines and Best Practices, 2020
Dominik Martin, Niklas Kühl, Maria MaleshkovaEref

Half-empty or half-full?: A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime


Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings, 2020
Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. HersløvEref

Handling Concept Drift for Predictions in Business Process Mining


2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings, 2020
Lucas Baier, Josua Reimold, Niklas KühlEref

Handling Concept Drifts in Regression Problems: the Error Intersection Approach


Entwicklungen, Chancen und Herausforderungen der Digitalisierung : Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Band 1, 2020
Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard SatzgerEref

How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting


2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings, 2020
Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard SatzgerEref

Industrial Maintenance in the Digital World


Smart Service Management : Design Guidelines and Best Practices, 2020
Michael Vössing, Niklas KühlEref

A network-based transfer learning approach to improve sales forecasting of new products


Proceedings of the 28th European Conference on Information Systems (ECIS), 2020
Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-CotruțăEref
Veröffentlichung

A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs


Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), 2020
Dominik Martin, Philipp Spitzer, Niklas KühlEref
Veröffentlichung

Service Analytics: Putting the "Smart" in Smart Services


Smart Service Management : Design Guidelines and Best Practices, 2020
Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard SatzgerEref

Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses


Smart Service Management : Design Guidelines and Best Practices, 2020
Dominik Martin, Niklas Kühl, Johannes Kunze von BischhoffshausenEref

Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media


Electronic Markets, 2020
Niklas Kühl, Marius Mühlthaler, Marc GoutierEref

System-wide Learning in Cyber-Physical Service Systems: A Research Agenda


Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings, 2020
Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard SatzgerEref

Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry


Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), 2020
Jannis Walk, Niklas Kühl, Jonathan SchäferEref
Veröffentlichung

An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis

2020
Alexander Treiss, Jannis Walk, Niklas KühlEref
Veröffentlichung

Der Aufstieg von KI: Von grenzenlosen Chancen bis zu existenziellen Risiken


KI goes KMU: Auf die Überholspur? Das „Tanker-Schnellboot-Syndrom“: Von der Chance, große Unternehmen durch Algorithmen, Neuronale Netze und Machine Learning zu überholen, 2019
Niklas KühlEref

Artificial Intelligence in Service Systems


Wharton School Research Talk, 2019
Niklas KühlEref

How to Learn from Others? A Research Agenda on Transfer Machine Learning for Sales Forecasting


MIT-IBM Watson AI Lab (2019), 2019
Robin Hirt, Niklas KühlEref

Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery


Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Smart Service Systems and Service Science, 2019
Clemens Wolff, Steven O. Kimbrough, Niklas KühlEref
Veröffentlichung

Applied AI in Services


Research Presentation (2019), The Wharton School of the University of Pennsylvania, 2019
Niklas KühlEref

Artificial Intelligence in Service Systems


Invited Seminar (2018), University of Auckland, 2019
Niklas KühlEref

Automatically Extracting and Analyzing Customer Needs from Twitter: A "Needmining" Prototype


Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband, 2019
Niklas Kühl, Dominik Martin, Gerhard SatzgerEref

Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning


Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 5, 2019
Robin Hirt, Niklas KühlEref

Cognitive computing for customer profiling: meta classification for gender prediction


Electronic Markets, 2019
Robin Hirt, Niklas Kühl, Gerhard SatzgerEref

Design Principles for Human-Computer Collaboration


Proceedings of the Workshop on Designing User Assistance in Intelligent Systems, Stockholm, Sweden, 2019, 2019
Michael Vössing, Matteo Lind, Niklas Kühl, Gerhard SatzgerEref

Designing Useful Transparency to Improve Process Performance: Evidence from an Automated Production Line


ECIS 2019 proceedings, 2019
Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard SatzgerEref
Veröffentlichung

Do you comply with AI?: Personalized explanations of learning algorithms and their impact on employees' compliance behavior


Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Paper-A-Thon, 2019
Niklas Kühl, Jodie Lobana, Christian MeskeEref
Veröffentlichung

Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case


Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019
Dominik Martin, Niklas KühlEref
Veröffentlichung

How to Cope with Change? Preserving Validity of Predictive Services over Time


Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019
Lucas Baier, Niklas Kühl, Gerhard SatzgerEref
Veröffentlichung

Literature vs. Twitter: Empirical insights on customer needs in e-mobility


Journal of Cleaner Production, 2019
Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick JochemEref

Machine Learning in Artificial Intelligence: Towards a Common Understanding


Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019
Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard SatzgerEref
Veröffentlichung

On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance


Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, 2019
Clemens Wolff, Melanie Reuter-Oppermann, Niklas KühlEref
Veröffentlichung

Service Systems, Smart Service Systems and Cyber-Physical Systems: What’s the difference? Towards a Unified Terminology


Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband, 2019
Dominik Martin, Robin Hirt, Niklas KühlEref

Unterstützung der Wissensarbeit durch Künstliche Intelligenz: Anforderungen an die Gestaltung maschinellen Lernens


Arbeit interdisziplinär : analysieren, bewerten, gestalten ; 65. Kongress der Gesellschaft für Arbeitswissenschaft, 2019
Gerhard Satzger, Niklas Kühl, Andrea MartinEref

Künstliche Intelligenz für industrielle Dienstleistungen


Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management", 2018
Niklas KühlEref

From Goldfish to God: The (dangerous) Growth of AI


Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018), 2018
Niklas KühlEref

IGNITE-Talk: How to design successful products and services with Needmining


51st Hawaii International Conference on System Sciences (HICSS 2018), 2018
Niklas KühlEref

Automatically Quantifying Customer Need Tweets: Towards a Supervised Machine Learning Approach


51st Hawaii International Conference on System Sciences (HICSS 2018). Volume 1, 2018
Niklas Kühl, Marius Mühlthaler, Marc GoutierEref

Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings


Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 2, 2018
Svenja Laing, Niklas KühlEref

Exploring Service Science: 9th International Conference, IESS 2018 ; Proceedings


9th International Conference (IESS 2018), 2018
Eref

Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data


Operations Research Proceedings 2016 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), 2018
Niklas Kühl, Marc GoutierEref

System-Oriented Service Delivery: The Application of Service System Engineering to Service Delivery


Proceedings of the 26th European Conference on Information Systems (ECIS), 2018
Clemens Wolff, Niklas Kühl, Gerhard SatzgerEref
Veröffentlichung

Towards Service-oriented Cognitive Analytics for Smart Service Systems


Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard SatzgerEref
Veröffentlichung

Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery


Simulation for a noble cause : Proceedings of the 2018 Winter Simulation Conference, 2018
Clemens Wolff, Michael Vössing, Niklas KühlEref

White Spots in Business and IT: An Explorative Study for E-Mobility Services


World Electric Vehicle Journal, 2018
Dominik Martin, Niklas Kühl, Carola Stryja, Jan HaudeEref

White spots in business and IT: An explorative study for e-mobility services


30th International Electric Vehicle Symposium (EVS 30). Volume 4, 2018
Niklas KühlEref

Abbildung kognitiver Fähigkeiten mit Metamodellen


INFORMATIK 2017. Band 3, 2017
Robin Hirt, Niklas KühlEref

Business Model Clustering: A network-based approach in the field of e-mobility services


Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February, 2016, 2017
Christian Engel, Jan Haude, Niklas KühlEref

Empirical insights on customer needs in e-mobility product service systems


GOR-IE Workshop "Approaches on Operations Research and Industrial Ecology for a Sustainable Resource and Energy Management", 2017
Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick JochemEref

Empirische Studie I: Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining


Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen, 2017
Niklas Kühl, Fabian HunkeEref

An End-to-End Process Model for Supervised Machine Learning Classification: From Problem to Deployment in Information Systems


Designing the Digital Transformation : DESRIST 2017 Research in Progress Proceedings, 2017
Robin Hirt, Niklas Kühl, Gerhard SatzgerEref

Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität: Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen


Fraunhofer Verlag, 2017
Carola Stryja, Niklas Kühl, Gerhard SatzgerEref

Needmining: automated analytical support for customer need elicitation


Karlsruher Institut für Technologie (KIT), 2017
Niklas KühlEref

Needmining: Towards a Modern Approach of Need Elicitation


Doctoral Consortium, 2017
Niklas KühlEref

Towards a Unified Approach to Identify Business Model Patterns: A Case of E-Mobility Services


Exploring services science : IESS 2017 ; Proceedings, 2017
Fabian Hunke, Ronny Schüritz, Niklas KühlEref

Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles


World Electric Vehicle Journal, 2016
Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick JochemEref

Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles


29th International Electric Vehicle Symposium 2016 (EVS29) : Proceedings. Volume 1, 2016
Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick JochemEref

“Need tweets”: New insights about customer needs from micro blog data in the field of e-mobility


Informatik 2016, 2016
Niklas Kühl, Marc GoutierEref

Needmining: Analytically Identifying Customer Needs for Designing New Services


25th Annual Frontiers in Service Conference, 2016
Niklas Kühl, Gerhard SatzgerEref

Needmining: Identifying micro blog data containing customer needs


Information systems as a global gateway : research papers, 2016
Niklas Kühl, Jan Scheurenbrand, Gerhard SatzgerEref
Veröffentlichung

Needmining: Towards analytical support for service design


Exploring Services Science : 7th International Conference, IESS 2016 ; Proceedings, 2016
Niklas KühlEref

"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data


Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Band 2, 2016
Niklas Kühl, Jan Scheurenbrand, Gerhard SatzgerEref

Programming for Refugees: An Active Learning Approach for Teaching Java to Heterogeneous Groups


Informatik 2016, 2016
Niklas Kühl, Jonas LehnerEref

Services for Electric Mobility


Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360°, 2016
Niklas Kühl, Dominik Kolz, Sabrina CoccaEref

Towards Extracting Customer Needs from Incident Tickets in IT Services


2016 IEEE 18th Conference on Business Informatics (CBI). Volume 1. Conference papers, 2016
Lena Eckstein, Niklas Kühl, Gerhard SatzgerEref

Business Models for Electric Mobility Services: Development of a user focused framework


24th Annual Frontiers in Service Conference, 2015
Ronny Schüritz, Niklas Kühl, Carola Stryja, Peter Hottum, Gerhard SatzgerEref

Entwicklung eines Frameworks zur Beschreibung von Geschäftsmodellen für Elektromobilitätsdienstleistungen


Energiesysteme im Wandel : Evolution oder Revolution? 9. Internationale Energiewirtschaftstagung (IEWT 2017), 2015
Carola Stryja, Ronny Schüritz, Niklas Kühl, Peter Hottum, Gerhard SatzgerEref

Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen


Dienstleistungsinnovationen für Elektromobilität : Märkte, Geschäftsmodelle, Kooperationen, 2015
Niklas Kühl, Carola StryjaEref

Holistically Defining E-Mobility: A Modern Approach to Systematic Literature Reviews


Proceedings of the First Karlsruhe Service Summit Workshop : Advances in Service Research, 2015
Jan Scheurenbrand, Christian Engel, Florin Peters, Niklas KühlEref

Identifying Customer Needs Using Micro Blog Data


RESER 2015 Doctoral Colloquium, 2015
Niklas KühlEref

Netzwerke und Allianzen


Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie, 2015
Peter Hottum, Niklas Kühl, Carola StryjaEref