ML-Based Teaching Systems: A Conceptual Framework CSCW '23 Companion : Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing, 2023 | Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger | Eref |
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 Holtmann | Eref 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 Satzger | Eref |
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 Schatte | Eref |
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 Kühl | Eref 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 Volkamer | Eref |
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 Kühl | Eref Veröffentlichung |
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning Information Technology & Management, 2023 | Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger | Eref |
Learning to Defer with Limited Expert Predictions Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023 | Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl | Eref |
Machine learning operations (mlops): Overview, definition, and architecture IEEE Access, 2023 | Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl | Eref |
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making arXiv preprint arXiv:2304.08804, 2023 | Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger | Eref |
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 Brunschwiler | Eref |
Towards ML products: MLOps & Complementarity Healthy AI Lab at Chalmers University of Technology, 2022 | Niklas Kühl | Eref |
Human-AI Complementarity University of Texas, 2022 | Niklas Kühl | Eref |
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 Kühl | Eref |
Artificial intelligence and machine learning Electronic Markets, 2022 | Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger | Eref |
The cost of fairness in AI: Evidence from e-commerce Business & Information Systems Engineering, 2022 | Moritz von Zahn, Stefan Feuerriegel, Niklas Kühl | Eref |
Data-centric Artificial Intelligence2022 | Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger | Eref 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 Kühl | Eref 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 Gnädig | Eref |
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 Schäfer | Eref |
Designing Transparency for Effective Human-AI Collaboration Information Systems Frontiers, 2022 | Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger | Eref |
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 Wortmann | Eref |
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 Kühl | Eref |
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 Kühl | Eref Veröffentlichung |
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making2022 | Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl | Eref 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 Meske | Eref Veröffentlichung |
Human vs. supervised machine learning: Who learns patterns faster? Cognitive Systems Research, 2022 | Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin | Eref |
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 Schmitt | Eref |
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 Satzger | Eref 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 Kühl | Eref |
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 Vössing | Eref |
On the Effect of Information Asymmetry in Human-AI Teams2022 | Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger | Eref 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 Satzger | Eref 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 Kühl | Eref |
On the Relationship Between Explanations, Fairness Perceptions, and Decisions2022 | Jakob Schöffer, Maria De-Arteaga, Niklas Kühl | Eref Veröffentlichung |
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making2022 | Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger | Eref 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 Lehner | Eref |
"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 Machowski | Eref |
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 Goutier | Eref |
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 Schöffer | Eref 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 Kühl | Eref 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 Satzger | Eref |
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 Kühl | Eref |
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 Kühl | Eref |
Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda Artificial Intelligence and Data Mining in Healthcare, 2021 | Melanie Reuter-Oppermann, Niklas Kühl | Eref |
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 Kühl | Eref |
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 Muff | Eref |
"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 Volkamer | Eref 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 Satzger | Eref |
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review PACIS 2021 Proceedings, 2021 | Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl | Eref Veröffentlichung |
IBM Service Transformation: From product suppliers to service providers2021 | 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 Schemmer | Eref |
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds Proceedings of CAD'21, 2021 | Christoph Sager, Patrick Zschech, Niklas Kühl | Eref |
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 Kühl | Eref 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 Valera | Eref |
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 Kühl | Eref |
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 Kühl | Eref |
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 Satzger | Eref 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 Schwenk | Eref |
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 Kühl | Eref |
Virtual Sensors Business & Information Systems Engineering, 2021 | Dominik Martin, Niklas Kühl, Gerhard Satzger | Eref |
Will the Customers Be Happy?: Identifying Unsatisfied Customers from Service Encounter Data Journal of Service Management, 2021 | Lucas Baier, Niklas Kühl, Ronny Schüritz, Gerhard Satzger | Eref |
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics2020 | Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer | Eref |
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 Schöffer | Eref |
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 Satzger | Eref |
Exploring Service Science: 10th International Conference, IESS 2020 ; Proceedings 10th International Conference (IESS 2020), 2020 | Henriqueta Nóvoa, Monica Drăgoicea, Niklas Kühl | Eref |
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 Maleshkova | Eref |
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. Hersløv | Eref |
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 Kühl | Eref |
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 Satzger | Eref |
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 Satzger | Eref |
Industrial Maintenance in the Digital World Smart Service Management : Design Guidelines and Best Practices, 2020 | Michael Vössing, Niklas Kühl | Eref |
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-Cotruță | Eref 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 Kühl | Eref 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 Satzger | Eref |
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 Bischhoffshausen | Eref |
Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media Electronic Markets, 2020 | Niklas Kühl, Marius Mühlthaler, Marc Goutier | Eref |
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 Satzger | Eref |
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 Schäfer | Eref Veröffentlichung |
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis2020 | Alexander Treiss, Jannis Walk, Niklas Kühl | Eref 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 Kühl | Eref |
Artificial Intelligence in Service Systems Wharton School Research Talk, 2019 | Niklas Kühl | Eref |
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 Kühl | Eref |
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 Kühl | Eref Veröffentlichung |
Applied AI in Services Research Presentation (2019), The Wharton School of the University of Pennsylvania, 2019 | Niklas Kühl | Eref |
Artificial Intelligence in Service Systems Invited Seminar (2018), University of Auckland, 2019 | Niklas Kühl | Eref |
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 Satzger | Eref |
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 Kühl | Eref |
Cognitive computing for customer profiling: meta classification for gender prediction Electronic Markets, 2019 | Robin Hirt, Niklas Kühl, Gerhard Satzger | Eref |
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 Satzger | Eref |
Designing Useful Transparency to Improve Process Performance: Evidence from an Automated Production Line ECIS 2019 proceedings, 2019 | Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger | Eref 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 Meske | Eref 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 Kühl | Eref 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 Satzger | Eref Veröffentlichung |
Literature vs. Twitter: Empirical insights on customer needs in e-mobility Journal of Cleaner Production, 2019 | Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick Jochem | Eref |
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 Satzger | Eref 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 Kühl | Eref 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 Kühl | Eref |
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 Martin | Eref |
Künstliche Intelligenz für industrielle Dienstleistungen Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management", 2018 | Niklas Kühl | Eref |
From Goldfish to God: The (dangerous) Growth of AI Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018), 2018 | Niklas Kühl | Eref |
IGNITE-Talk: How to design successful products and services with Needmining 51st Hawaii International Conference on System Sciences (HICSS 2018), 2018 | Niklas Kühl | Eref |
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 Goutier | Eref |
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 Kühl | Eref |
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 Goutier | Eref |
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 Satzger | Eref 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 Satzger | Eref 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 Kühl | Eref |
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 Haude | Eref |
White spots in business and IT: An explorative study for e-mobility services 30th International Electric Vehicle Symposium (EVS 30). Volume 4, 2018 | Niklas Kühl | Eref |
Abbildung kognitiver Fähigkeiten mit Metamodellen INFORMATIK 2017. Band 3, 2017 | Robin Hirt, Niklas Kühl | Eref |
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 Kühl | Eref |
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 Jochem | Eref |
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 Hunke | Eref |
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 Satzger | Eref |
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 Satzger | Eref |
Needmining: automated analytical support for customer need elicitation Karlsruher Institut für Technologie (KIT), 2017 | Niklas Kühl | Eref |
Needmining: Towards a Modern Approach of Need Elicitation Doctoral Consortium, 2017 | Niklas Kühl | Eref |
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 Kühl | Eref |
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 Jochem | Eref |
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 Jochem | Eref |
“Need tweets”: New insights about customer needs from micro blog data in the field of e-mobility Informatik 2016, 2016 | Niklas Kühl, Marc Goutier | Eref |
Needmining: Analytically Identifying Customer Needs for Designing New Services 25th Annual Frontiers in Service Conference, 2016 | Niklas Kühl, Gerhard Satzger | Eref |
Needmining: Identifying micro blog data containing customer needs Information systems as a global gateway : research papers, 2016 | Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger | Eref Veröffentlichung |
Needmining: Towards analytical support for service design Exploring Services Science : 7th International Conference, IESS 2016 ; Proceedings, 2016 | Niklas Kühl | Eref |
"Needs from Tweets": Towards Deriving Customer Needs From Micro Blog Data Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Band 2, 2016 | Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger | Eref |
Programming for Refugees: An Active Learning Approach for Teaching Java to Heterogeneous Groups Informatik 2016, 2016 | Niklas Kühl, Jonas Lehner | Eref |
Services for Electric Mobility Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360°, 2016 | Niklas Kühl, Dominik Kolz, Sabrina Cocca | Eref |
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 Satzger | Eref |
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 Satzger | Eref |
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 Satzger | Eref |
Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen Dienstleistungsinnovationen für Elektromobilität : Märkte, Geschäftsmodelle, Kooperationen, 2015 | Niklas Kühl, Carola Stryja | Eref |
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 Kühl | Eref |
Identifying Customer Needs Using Micro Blog Data RESER 2015 Doctoral Colloquium, 2015 | Niklas Kühl | Eref |
Netzwerke und Allianzen Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie, 2015 | Peter Hottum, Niklas Kühl, Carola Stryja | Eref |