niklas_kuehl

Dr. Niklas Kühl

  • Kaiserstr. 89

    D - 76133 Karlsruhe

Activities

Interests

Teaching at KSRI & IISM

  • Artificial Intelligence in Service Systems (WS18/19, WS19/20, WS20/21, WS21/22, WS22/23)
  • Service Design Thinking (WS18/19)
  • Service Analytics A (SS17, SS18)
  • Foundations of Digital Services [former eServices] (SS15, SS16, SS17, SS18, SS19, SS20,SS21,SS22)
  • Business and IT Service Management (WS14/15)
  • Practical seminars (SS14-WS21/22)

Teaching at Hector Business School

  • Artificial Intelligence in Service Systems (Intake 2019, 2020)

Teaching at AIFB

  • Programming I: Java (WS12/13, WS13/14, WS14/15, WS15/16, WS16/17)
  • Advanced Programming (SS13, SS14, SS15, SS16)

Curriculum Vitae


Community Services

  • Conference chair at IESS 2018 and IESS 2020
  • Minitrack Chair at HICSS
    • Service Analytics
    • Optimization of and the use of IT for healthcare processes
  • Associate Editor at ICIS, ECIS, WI
  • Reviewer at BISE, CACM, CSUR, Information Sciences, SBUR, ICIS, ECIS and HICSS 
     

Awards

  • IBM Best Paper Award 2018 and 2019
  • HICSS Best Paper 2021
  • Faculty Teaching Award 2015, 2016, 2019, 2020
  • DAAD International Collaboration Package 2015 and 2019

Publications


2023
Conference Papers
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
Geiger, M.; Martin, D.; Kühl, N.
2023. 56th Hawaii International Conference on System Sciences 
Detecting Concept Drift With Neural Network Model Uncertainty
Baier, L.; Schlör, T.; Schöffer, J.; Kühl, N.
2023. 56th Hawaii International Conference on System Sciences 
2022
Journal Articles
Artificial intelligence and machine learning
Kühl, N.; Schemmer, M.; Goutier, M.; Satzger, G.
2022. Electronic markets. doi:10.1007/s12525-022-00598-0 Full textFull text of the publication as PDF document 
Human vs. supervised machine learning: Who learns patterns faster?
Kühl, N.; Goutier, M.; Baier, L.; Wolff, C.; Martin, D.
2022. Cognitive systems research, 76, 78–92. doi:10.1016/j.cogsys.2022.09.002 
Designing Transparency for Effective Human-AI Collaboration
Vössing, M.; Kühl, N.; Lind, M.; Satzger, G.
2022. Information Systems Frontiers. doi:10.1007/s10796-022-10284-3 Full textFull text of the publication as PDF document 
labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
Sager, C.; Zschech, P.; Kühl, N.
2022. Computer-Aided Design and Applications, 19 (6), 1191–1206. doi:10.14733/cadaps.2022.1191-1206 
Design knowledge for deep-learning-enabled image-based decision support systems — evidence from power line maintenance decision-making [in press]
Landwehr, J.; Kühl, N.; Walk, J.; Gnädig, M.
2022. Business & information systems engineering. doi:10.1007/s12599-022-00745-z Full textFull text of the publication as PDF document 
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
Stauder, M.; Kühl, N.
2022. Flexible services and manufacturing journal, 34, 709–747. doi:10.1007/s10696-021-09430-x Full textFull text of the publication as PDF document 
Conference Papers
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Schemmer, M.; Hemmer, P.; Nitsche, M.; Kühl, N.; Vössing, M.
2022. Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 1st-3rd August, 2022, Oxford. Ed. Vincent Conitzer, 617–626, Association for Computing Machinery (ACM). doi:10.1145/3514094.3534128 
Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency
Beckmann, C.; Berens, B.; Kühl, N.; Mayer, P.; Mossano, M.; Volkamer, M.
2022. International Workshop on Socio-Technical Aspects in Security 
An Empirical Evaluation of Estimated Outcomes as Explanations in Human-AI Decision-Making
Jakubik, J.; Schöffer, J.; Hoge, V.; Vössing, M.; Kühl, N.
2022. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Spitzer, P.; Kühl, N.; Goutier, M.
2022. Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), 23rd July, Baltimore. doi:10.48550/arXiv.2207.00497 
Driver state prediction from vehicle signals: An evaluation of segmentation approaches
Maritsch, M.; Koch, K.; Thomsen, H.; Kühl, N.; Pfäffli, M.; Weinmann, W.; Wortmann, F.
2022. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 1106–1113, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC55140.2022.9922011 
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Schöffer, J.; Kühl, N.; Machowski, Y.
2022. FAccT ’22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul Republic of Korea June 21 - 24, 2022, 1616–1628, Association for Computing Machinery (ACM). doi:10.1145/3531146.3533218 Full textFull text of the publication as PDF document 
Designing Resilient AI-based Robo-Advisors: A Prototype for Real Estate Appraisal
Schemmer, M.; Hemmer, P.; Kühl, N.; Schäfer, S.
2022. 17th International Conference on Design Science Research in Information Systems and Technology, 1st - 3rd June 2022, St. Petersburg, FL, USA Full textFull text of the publication as PDF document 
On the Influence of Explainable AI on Automation Bias
Schemmer, M.; Kühl, N.; Benz, C.; Satzger, G.
2022. Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, RO, June 18 - 24, 2022, Association for Information Systems (AIS) 
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making
Schoeffer, J.; Machowski, Y.; Kühl, N.
2022. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS) : January 4-7, 2022, Hyatt Regency Maui, Hawaii, USA, 1095–1102, University of Hawai’i at Manoa / Hamilton Library. doi:10.24251/hicss.2022.134 Full textFull text of the publication as PDF document 
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Hemmer, P.; Kühl, N.; Schöffer, J.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) 
Deep Learning Strategies for Industrial Surface Defect Detection Systems
Martin, D.; Heinzel, S.; Kunze von Bischhoffshausen, J.; Kühl, N.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) Full textFull text of the publication as PDF document 
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence
Schemmer, M.; Kühl, N.; Satzger, G.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55)  
Fake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content
Bunde, E.; Kühl, N.; Meske, C.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) 
What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
Do Thi, T. H.; Dobler, M.; Kühl, N.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) 
Increasing Robustness for Machine Learning Services in Challenging Environments: Limited Resources and No Label Feedback
Baier, L.; Kühl, N.; Schmitt, J.
2022. Intelligent systems and applications. Vol. 1. Ed.: K. Arai, 837–856, Springer International Publishing. doi:10.1007/978-3-030-82193-7_57 
Book Chapters
Technische Bildungsangebote für Geflüchtete : Der Verein Education for Refugees
Kühl, N.; Lehner, J.
2022. 50 Jahre AIFB - Von 1971 - 2021. Hrsg.: W. Stucky, 211–213, Karlsruher Institut für Technologie (KIT) 
Presentations
Human-AI Complementarity
Kühl, N.
2022, March 3. University of Texas (2022), Austin, TX, USA, March 3, 2022 
Reports/Preprints
On the Effect of Information Asymmetry in Human-AI Teams
Hemmer, P.; Schemmer, M.; Kühl, N.; Vössing, M.; Satzger, G.
2022 
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Schemmer, M.; Hemmer, P.; Nitsche, M.; Kühl, N.; Vössing, M.
2022. doi:10.5445/IR/1000147671 Full textFull text of the publication as PDF document 
Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making
Hemmer, P.; Schemmer, M.; Riefle, L.; Rosellen, N.; Vössing, M.; Kühl, N.
2022. Association for Information Systems (AIS). doi:10.5445/IR/1000146871 Full textFull text of the publication as PDF document 
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Schöffer, J.; Kühl, N.; Machowski, Y.
2022. doi:10.48550/arXiv.2205.05758 
On the Relationship Between Explanations, Fairness Perceptions, and Decisions
Schoeffer, J.; De-Arteaga, M.; Kuehl, N.
2022. doi:10.5445/IR/1000145726 
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
Schemmer, M.; Hemmer, P.; Kühl, N.; Benz, C.; Satzger, G.
2022. doi:10.5445/IR/1000145647 Full textFull text of the publication as PDF document 
2021
Journal Articles
The cost of fairness in AI: Evidence from e-commerce
Zahn, M. von; Feuerriegel, S.; Kühl, N.
2021. Business & information systems engineering. doi:10.1007/s12599-021-00716-w 
Virtual Sensors
Martin, D.; Kühl, N.; Satzger, G.
2021. Business & information systems engineering, 63 (3), 315–323. doi:10.1007/s12599-021-00689-w Full textFull text of the publication as PDF document 
How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Reportcard
Kühl, N.; Hirt, R.; Baier, L.; Schmitz, B.; Satzger, G.
2021. Communications of the Association for Information Systems, 48, 589–615. doi:10.17705/1CAIS.04845 Full textFull text of the publication as PDF document 
Will the Customers Be Happy? Identifying Unsatisfied Customers from Service Encounter Data
Baier, L.; Kühl, N.; Schüritz, R.; Satzger, G.
2021. Journal of service management, 32 (2), 265–288. doi:10.1108/JOSM-06-2019-0173 
Conference Papers
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems
Schoeffer, J.; Kuehl, N.
2021. Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing (CSCW ’21 Companion), October 23–27, 2021, Virtual Event, USA. Ed.: J. Birnholtz, 153–157, Association for Computing Machinery (ACM). doi:10.1145/3462204.3481742 
Towards a Reference Architecture for Future Industrial Internet of Things Networks
Martin, D.; Kühl, N.; Schwenk, M.
2021. Proceedings : 2021 IEEE 23rd Conference on Business Informatics, CBI 2021, Virtual Conference 1-3 September 2021, Volume 2 – CBI Forum and Workshop Papers. Ed.: J.P.A. Almeida, 1–9, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI52690.2021.10049 Full textFull text of the publication as PDF document 
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
Hemmer, P.; Schemmer, M.; Vössing, M.; Kühl, N.
2021. PACIS 2021 Proceedings 
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Zschech, P.; Walk, J.; Heinrich, K.; Vössing, M.; Kühl, N.
2021. 29th European Conference on Information Systems (ECIS 2021), June 14 - 16, 2021 - Marrackech, Morocco Full textFull text of the publication as PDF document 
Conceptualizing Digital Resilience for AI-Based Information Systems
Schemmer, M.; Heinz, D.; Baier, L.; Vössing, M.; Kühl, N.
2021. Proceedings of the 29th European Conference on Information Systems (ECIS), June 14 - 16, 2021 Full textFull text of the publication as PDF document 
A Study on Fairness and Trust Perceptions in Automated Decision Making
Schöffer, J.; Machowski, Y.; Kühl, N.
2021. Joint Proceedings of the ACM IUI 2021 Workshops, April 13–17, 2021, College Station, USA, 170005, RWTH Aachen Full textFull text of the publication as PDF document 
A Ranking Approach to Fair Classification
Schöffer, J.; Kühl, N.; Valera, I.
2021. COMPASS ’21: Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies, June 28 - July 2, 2021, Virtual Event, Australia, 115–125, Association for Computing Machinery (ACM). doi:10.1145/3460112.3471950 
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments
Schuler, L.; Jamil, S.; Kühl, N.
2021. STEERS Workshop of the 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021). doi:10.1109/CCGrid51090.2021.00098 
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
Sager, C.; Zschech, P.; Kühl, N.
2021. CAD’21 Conference 
Designing Chemical Emergency Response Systems Based on Open Data
Enders, T.; Kühl, N.; Walk, J.; Muff, M.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021 
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Baier, L.; Kellner, V.; Kühl, N.; Satzger, G.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021 
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability
Hirt, R.; Srivastava, A.; Berg, C.; Kühl, N.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021, 7078–7087, University of Hawai’i at Manoa. doi:10.24251/HICSS.2021.851 Full textFull text of the publication as PDF document 
“Healthy surveillance”: Designing a concept for privacy-preserving mask recognition AI in the age of pandemics
Kühl, N.; Martin, D.; Wolff, C.; Volkamer, M.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021 
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Treiss, A.; Walk, J.; Kühl, N.
2021. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. Ed.: Y. Dong, 85–100, Springer. doi:10.1007/978-3-030-67670-4_6 Full textFull text of the publication as PDF document 
Book Chapters
Artificial Intelligence for Healthcare Logistics: An Overview and Research Agenda
Reuter-Opperman, M.; Kühl, N.
2021. Artificial Intelligence and Data Mining in Healthcare. Ed.: M. Masmoudi, 1–22, Springer International Publishing 
Presentations
Transparency in Human-Computer Collaboration: Should I Know What My Computer Is Thinking?
Vössing, M.; Kühl, N.; Satzger, G.
2021, July 10. Frontiers in Service Conference (2021), Online, July 9–10, 2021 
2020
Conference Papers
Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19
Baier, L.; Schöffer, J.; Kühl, N.
2020. ICIS 2020 – Making Digital Inclusive: Blending the Local and the Global : December 13-16, 2020 
DEAL: Deep Evidential Active Learning for Image Classification
Hemmer, P.; Kühl, N.; Schöffer, J.
2020. 19th IEEE International Conference On Machine Learning And Applications, December, Miami, Florida, December 14-17, 2020, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMLA51294.2020.00141 
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
Hirt, R.; Kühl, N.; Peker, Y.; Satzger, G.
2020. 22nd IEEE Conference on Business Informatics, CBI 2020, Antwerp, Belgium, 22 - 24 June 2020, 20–29, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI49978.2020.00010 
A network-based transfer learning approach to improve sales forecasting of new products
Karb, T.; Kühl, N.; Hirt, R.; Glivici-Cotruță, V.
2020. European Conference on Information Systems (ECIS) - Marrakech, Marocco, June 15 - 17, 2020 
Handling Concept Drift for Predictions in Business Process Mining
Baier, L.; Reimold, J.; Kühl, N.
2020. 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 : Antwerp, Belgium, 22-24 June 2020 : proceedings. Vol. 1, 76–83, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI49978.2020.00016 Full textFull text of the publication as PDF document 
Engineering Industrial Service Systems : Design and Evaluation of System-Oriented Service Delivery
Wolff, C.; Kühl, N.; Satzger, G.
2020. Designing for Digital Transformation. Co-Creating Services with Citizens and Industry: 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, Kristiansand, Norway, December 2–4, 2020, Proceedings. Ed.: S. Hofmann, 407–419, Springer. doi:10.1007/978-3-030-64823-7_39 
System-wide Learning in Cyber-Physical Service Systems: A Research Agenda
Martin, D.; Kühl, N.; Bischhoffshausen, J. K. von; Satzger, G.
2020. Designing for Digital Transformation. Co-Creating Services with Citizens and Industry - 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, December 2–4, 2020. Ed.: S. Hofmann, 457–468, Springer. doi:10.1007/978-3-030-64823-7_44 
Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime
Wolff, C.; Kühl, N.; Satzger, G.
2020. International Conference on Exploring Services Science, Porto, Portugal, 5 - 7 Februar 2020. Ed.: H. Nóvoa, 92–106, Springer International Publishing. doi:10.1007/978-3-030-38724-2_7 
Handling Concept Drifts in Regression Problems – the Error Intersection Approach
Baier, L.; Hofmann, M.; Kühl, N.; Mohr, M.; Satzger, G.
2020. Proceedings of 15th International Conference on Wirtschaftsinformatik, 2020, Potsdam, Germany Full textFull text of the publication as PDF document 
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Walk, J.; Hirt, R.; Kühl, N.; Hersløv, E. R.
2020. Exploring Service Science : 10th International Conference on Exploring Service Science, IESS 2020, Porto, Portugal, February 05-07, 2020. Proceedings. Ed.: H. Nóvoa, Springer International Publishing. doi:10.1007/978-3-030-38724-2_8 
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
Walk, J.; Kühl, N.; Schäfer, J.
2020. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document 
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Martin, D.; Spitzer, P.; Kühl, N.
2020. 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document 
Book Chapters
Service Analytics: Putting the “Smart” in Smart Services
Kühl, N.; Fromm, H.; Schöffer, J.; Satzger, G.
2020. Smart Service Management : Design Guidelines and Best Practices. Ed.: M. Maleshkova; N. Kühl, Axel Springer SE. doi:10.1007/978-3-030-58182-4 
Industrial Maintenance in the Digital World
Vössing, M.; Kühl, N.
2020. Smart Service Management – Design Guidelines and Best Practices. Ed.: M. Maleshkova, 23–32, Springer International Publishing. doi:10.1007/978-3-030-58182-4_3 
Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems
Martin, D.; Kühl, N.; Maleshkova, M.
2020. Smart Service Management: Design Guidelines and Best Practices. Hrsg.: Maria Maleshkova, Niklas Kühl, Philipp Jussen, 7–21, Springer International Publishing. doi:10.1007/978-3-030-58182-4_2 
Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses
Martin, D.; Kühl, N.; Bischhoffshausen, J. K. von
2020. Smart Service Management: Design Guidelines and Best Practices. Hrsg.: Maria Maleshkova, Niklas Kühl, Philipp Jussen, 179–191, Springer International Publishing. doi:10.1007/978-3-030-58182-4_16 
2019
Journal Articles
Cognitive computing for customer profiling: meta classification for gender prediction
Hirt, R.; Kühl, N.; Satzger, G.
2019. Electronic markets, 29 (1), 93–106. doi:10.1007/s12525-019-00336-z 
Literature vs. Twitter: Empirical insights on customer needs in e-mobility
Kühl, N.; Goutier, M.; Ensslen, A.; Jochem, P.
2019. Journal of cleaner production, 213, 508–520. doi:10.1016/j.jclepro.2018.12.003 
Conference Papers
Do you comply with AI? — Personalized explanations of learning algorithms and their impact on employees’ compliance behavior
Kühl, N.; Lobana, J.; Meske, C.
2019. Proceedings of the 40th International Conference on Information Systems (ICIS): Paper-A-Thon, AIS eLibrary (AISeL) 
Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery
Wolff, C.; Kimbrough, S. O.; Kühl, N.
2019. 40th International Conference on Information Systems (ICIS 2019), München, 15.-18. Dezember 2019, AIS eLibrary (AISeL) 
Designing Useful Transparency to Improve Process Performance - Evidence from an Automated Production Line
Vössing, M.; Potthoff, F.; Kühl, N.; Satzger, G.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Association for Information Systems (AIS) 
Design Principles for Human-Computer Collaboration
Vössing, M.; Lind, M.; Kühl, N.; Satzger, G.
2019. Proceedings of the Workshop on Designing User Assistance in Intelligent Systems, Stockholm, Sweden, 2019. Ed.: S. Morana, 13–15, Karlsruher Institut für Technologie (KIT) Full textFull text of the publication as PDF document 
Service Systems, Smart Service Systems and Cyber-Physical Systems—What’s the difference? Towards a Unified Terminology
Martin, D.; Hirt, R.; Kühl, N.
2019. 14. Internationale Tagung Wirtschaftsinformatik 2019 (WI 2019), Siegen, Germany, February 24-27 
Unterstützung der Wissensarbeit durch Künstliche Intelligenz - Anforderungen an die Gestaltung maschinellen Lernens
Satzger, G.; Kühl, N.; Martin, A.
2019. 65. GfA Frühjahrskongress 2019, Dresden, 27. Februar - 01. März 2019 Full textFull text of the publication as PDF document 
Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype
Kühl, N.; Martin, D.; Satzger, G.
2019. 14. Internationale Tagung Wirtschaftsinformatik 2019 (Wi 2019), Siegen, 23.-27. Februar 2019 
On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance [in press]
Wolff, C.; Reuter-Oppermann, M.; Kühl, N.
2019. Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, January 8-11, 2019 
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case
Martin, D.; Kühl, N.
2019. Proceedings of the 52nd Annual Hawaii International Conference on System Sciences : January 8-11, 2019, Maui, Hawaii. Ed.: Tung X. Bui, 1005–1012, University of Hawaii at Manoa, Hamilton Library, ScholarSpace. doi:10.24251/HICSS.2019.124 
How to Cope with Change? Preserving Validity of Predictive Services over Time
Baier, L.; Kühl, N.; Satzger, G.
2019. Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, Januar 8-11, 2019, 1085–1094, University of Hawai’i at Manoa / AIS Full textFull text of the publication as PDF document 
Machine Learning in Artificial Intelligence: Towards a Common Understanding [in press]
Kühl, N.; Goutier, M.; Hirt, R.; Satzger, G.
2019. Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, Januar 8-11, 2019 
Presentations
Applied AI in Services
Kühl, N.
2019, March 22. Research Presentation (2019), The Wharton School of the University of Pennsylvania, March 22, 2019 
Der Aufstieg von KI - Von grenzenlosen Chancen bis zu existenziellen Risiken
Kühl, N.
2019, July 17. 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), Cologne, Germany, July 17–18, 2019 
Artificial Intelligence in Service Systems
Kühl, N.
2019, March 22. Wharton School Research Talk (2019), Philadelphia, PA, USA, March 22, 2019 
How to Learn from Others? A Research Agenda on Transfer Machine Learning for Sales Forecasting
Hirt, R.; Kühl, N.
2019, February 19. MIT-IBM Watson AI Lab (2019), Cambridge, MA, USA, March 19, 2019 
2018
Conference Papers
Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning
Hirt, R.; Kühl, N.
2018. 39th International Conference on Information Systems, ICIS 2018; San Francisco Marriott MarquisSan Francisco; United States; 13 December 2018 through 16 December 2018, AIS eLibrary (AISeL) 
Comfort-as-a-Service: Designing a User-Oriented Thermal Comfort Artifact for Office Buildings
Laing, S.; Kühl, N.
2018. Thirty Ninth International Conference on Information Systems (ICIS), San Francisco, CA, 13th-16th December 2018, Association for Information Systems (AIS) 
Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery
Wolff, C.; Vössing, M.; Kühl, N.
2018. Proceedings of the 2018 Winter Simulation Conference, December 9-12 Gothenburg, Sweden 
System-Oriented Service Delivery: The Application of Service System Engineering to Service Delivery
Wolff, C.; Kühl, N.; Satzger, G.
2018. 26th European Conference on Information Systems: Beyond Digitization - Facets of Socio-Technical Change, ECIS 2018, Portsmouth, UK, June 23-28, 2018. Ed.: U. Frank, Code 143975 
Automatically Quantifying Customer Need Tweets : Towards a Supervised Machine Learning Approach
Kühl, N.; Mühlthaler, M.; Goutier, M.
2018. Hawaii International Conference on System Sciences (HICSS-51), Waikoloa Village, Hawaii, United States, 3rd - 6th January 2018 
Towards Service-oriented Cognitive Analytics for Smart Service Systems
Hirt, R.; Kühl, N.; Schmitz, B.; Satzger, G.
2018. Hawaii International Conference on System Sciences (HICSS-51), Waikoloa Village, Hawaii, United States, 3rd - 6th January 2018 
Presentations
Artificial Intelligence in Service Systems
Kühl, N.
2018, December 19. Invited Seminar (2018), University of Auckland, December 19, 2018 
Künstliche Intelligenz für industrielle Dienstleistungen
Kühl, N.
2018, October 12. Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management", Karlsruhe, 12.10.2018 
IGNITE-Talk: How to design successful products and services with Needmining
Kühl, N.
2018, January 4. 51st Hawaii International Conference on System Sciences (HICSS 2018), Waikoloa, HI, USA, January 3–6, 2018 
From Goldfish to God: The (dangerous) Growth of AI
Kühl, N.
2018, June 21. Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018), Karlsruhe, Germany, June 21, 2018 
2017
Conference Papers
Abbildung kognitiver Fähigkeiten mit Metamodellen
Hirt, R.; Kühl, N.
2017. INFORMATIK 2017, 47. Jahrestagung der Gesellschaft für Informatik, Chemnitz, Deutschland, 25. - 29. September 2017. Hrsg.: Maximilian Eib, 2301–2307, Gesellschaft für Informatik (GI). doi:10.18420/in2017_231 Full textFull text of the publication as PDF document 
White spots in business and IT : An explorative study for e-mobility services
Martin, D.; Kühl, N.; Stryja, C.; Haude, J.
2017. 30th International Electric Vehicle Symposium & Exhibition, Stuttgart, Germany, 9th - 11th October 2017 
An End-to-End Process Model for Supervised Machine Learning Classification : From Problem to Deployment in Information Systems
Hirt, R.; Kühl, N.; Satzger, G.
2017. Designing the Digital Transformation, DESRIST 2017 Research in Progress Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology, Karlsruhe, Germany, 30th May - 1st June 2017. Ed.: A. Mädche, 55–63, Karlsruher Institut für Technologie (KIT) 
Empirical insights on customer needs in e-mobility product service systems
Kühl, N.; Goutier, M.; Ensslen, A.; Jochem, P.
2017. GOR-IE Workshop "Approaches on Operations Research and Industrial Ecology for a Sustainable Resource and Energy Management", 9.-10. März 2017, Freiberg 
Business Model Clustering: A network-based approach in the field of e-mobility services
Engel, C.; Haude, J.; Kühl, N.
2017. Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February 2016. Ed.: P. Hottum, 11–25, Karlsruher Institut für Technologie (KIT) 
Towards a Unified Approach to Identify Business Model Patterns : A Case of E-Mobility Services
Hunke, F.; Schüritz, R.; Kühl, N.
2017. 8th International Conference on Exploring Service Science, IESS 2017, Rome, Italy, 24th - 26th May 2017. Ed. : M. Dragoicea, 182–196, Springer International Publishing. doi:10.1007/978-3-319-56925-3_15 
Book Chapters
Empirische Studie I : Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining
Kühl, N.; Hunke, F.
2017. Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen. Hrsg.: C. Stryja, 43–51, Fraunhofer Verlag 
PhD Theses
Needmining: automated analytical support for customer need elicitation. PhD dissertation
Kühl, N.
2017. Karlsruher Institut für Technologie (KIT) 
Presentations
Needmining : Towards a Modern Approach of Need Elicitation
Kühl, N.
2017. Doctoral Consortium, St. Gallen, Schweiz, 11. - 12. Februar 2017 
2016
Conference Papers
"Needs from Tweets" : Towards Deriving Customer Needs From Micro Blog Data
Kühl, N.; Scheurenbrand, J.; Satzger, G.
2016. Multikonferenz Wirtschaftsinformatik (MKWI) 2016, Band III, Technische Universität Ilmenau, Deutschland, 09. - 11. März 2016. Hrsg.: V. Nissen, 1229–1232, Universitätsverlag 
Programming for Refugees : An Active Learning Approach for Teaching Java to Heterogeneous Groups
Kühl, N.; Lehner, J.
2016. Informatik 2016, 46. Jahrestagung der Gesellschaft für Informatik, Klagenfurt, Österreich, 26. - 30. September 2016, 1175–1178, Gesellschaft für Informatik (GI) 
Needmining : Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data
Kühl, N.; Goutier, M.
2016. Operations Research Proceedings 2016, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Hamburg, Germany, 30th August - 2nd September 2016. Ed.: A. Fink, 165–170, Springer. doi:10.1007/978-3-319-55702-1 
Towards Extracting Customer Needs from Incident Tickets in IT Services
Eckstein, L.; Kühl, N.; Satzger, G.
2016. 2016 IEEE 18th Conference on Business Informatics (CBI), Paris, France, 29 August–1 September 2016, 200–207, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI.2016.30 
Needmining: Identifying micro blog data containing customer needs
Kühl, N.; Scheurenbrand, J.; Satzger, G.
2016. 24th European Conference on Information Systems, ECIS 2016; Bogazici UniversityIstanbul; Turkey; 12 June 2016 through 15 June 2016, Association for Information Systems (AIS) 
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles
Ensslen, A.; Kühl, N.; Stryja, C.; Jochem, P.
2016. Proceedings of EVS29 Symposium, Montréal, Québec, Canada, June 19-22, 2016 Full textFull text of the publication as PDF document 
Needmining: Towards analytical support for service design
Kühl, N.
2016. Exploring Services Science, 7th International Conference, IESS 2016, Bucharest, RO, May 25-27, 2016. Ed.: T. Borangiu, 187–200, Springer Verlag. doi:10.1007/978-3-319-32689-4_14 
Presentations
Services for Electric Mobility
Kühl, N.; Kolz, D.; Cocca, S.
2016. Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360°, München, Deutschland, 18. - 20. Oktober 2016 
Needmining : Analytically Identifying Customer Needs for Designing New Services
Kühl, N.; Satzger, G.
2016. 25th Annual Frontiers in Service Conference, Bergen, Norway, 23rd - 26th June 2016 
2015
Conference Papers
Entwicklung eines Frameworks zur Beschreibung von Geschäftsmodellen für Elektromobilitätsdienstleistungen
Stryja, C.; Schüritz, R.; Kühl, N.; Hottum, P.; Satzger, G.
2015. Energiesysteme im Wandel: Evolution oder Revolution? 9. Internationale Energiewirtschaftstagung, IEWT, Wien, Österreich, 11 - 13. Februar 2015, 1–17 
Holistically Defining E-Mobility: A Modern Approach to Systematic Literature Reviews
Scheurenbrand, J.; Engel, C.; Peters, F.; Kühl, N.
2015. Proceedings of the First Karlsruhe Service Summit Workshop - Advances in Service Research, Karlsruhe, Germany, February 2015. Ed.: R. Görlitz, 17–27, KIT Scientific Publishing 
Book Chapters
Dienstleistungen für Elektromobilität : Netzwerke und Allianzen
Hottum, P.; Kühl, N.; Stryja, C.
2015. Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie. Hrsg.: S. Lamberth-Cocca, 47–61, Fraunhofer Verlag 
Netzwerke und Allianzen
Hottum, P.; Kühl, N.; Stryja, C.
2015. Dienstleistungen für Elektromobilität - Ergebnisse einer Expertenstudie, 47–60, Fraunhofer Verlag 
Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen
Kühl, N.; Stryja, C.
2015. Dienstleistungsinnovationen für Elektromobilität. Märkte, Geschäftsmodelle, Kooperationen. Hrsg.: D. Beverungen, 25–40, Fraunhofer Verlag 
Presentations
Business Models for Electric Mobility Services : Development of a user focused framework
Schüritz, R.; Kühl, N.; Stryja, C.; Hottum, P.; Satzger, G.
2015. 24th Annual Frontiers in Service Conference, San Jose, California, USA, 9th - 12th July 2015 
Identifying Customer Needs Using Micro Blog Data
Kühl, N.
2015. RESER 2015 Doctoral Colloquium, Roskilde, Denmark, 8th - 9th September 2015