Portrait

Dr.-Ing. Niklas Kühl

Activities

Interests

  • Artificial Intelligence in Service Systems
  • Needmining / Customer Needs / Needfinding
  • Applied Machine Learning & Natural Language Processing
  • Twitter Analytics
  • E-Mobility: Services, Business Models & Standards
Theses 
If you are interested in writing a Bachelor or Master thesis, feel free to contact me at anytime. 
 
Teaching at KSRI
  • Business and IT Service Management (WS14/15)
  • eServices (SS15)
  • Foundations of Digital Services A (SS16, SS17, SS18)
  • Service Analytics A (SS17, SS18)
Teaching at AIFB
  • Programming I: Java (WS12/13, WS13/14, WS14/15, WS15/16, WS16/17)
  • Advanced Programming (SS13, SS14, SS15, SS16)

Curriculum Vitae


  • October 2007 to April 2011: Bachelor of Science in Business Engineering at KIT (Bachelorthesis: "A process and optimization model for the prototyping management at Porsche AG")
  • April 2011 to April 2014: Master of Science in Business Engineering at KIT (Masterthesis: "Analysis of IT concepts of electric mobility services")
  • October 2012 - April 2017: Research Associate at AIFB
  • Since August 2014 - July 2017: Research Associate at KSRI
  • Since August 2017: Team Leader Advanced Analytics at KSRI

Publications


2021
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 
Journal Articles
Virtual Sensors.
Martin, D.; Kühl, N.; Satzger, G.
2021. Business & information systems engineering. doi:10.1007/s12599-021-00689-wFull textFull text of the publication as PDF document
Conference Papers
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), An Online AIS Conference, June 14 - 16, 2021 Full textFull text of the publication as PDF document
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) 
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 
“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_6Full textFull text of the publication as PDF document
Reports/Preprints
A Study on Fairness and Trust Perceptions in Automated Decision Making.
Schoeffer, J.; Machowski, Y.; Kuehl, N.
2021. Karlsruher Institut für Technologie (KIT) 
A Ranking Approach to Fair Classification.
Schoeffer, J.; Kuehl, N.; Valera, I.
2021. Karlsruher Institut für Technologie (KIT) 
Other
IBM Service Transformation: From product suppliers to service providers.
Brandes, M.; Osthues, S.; Bach, M.; Schel, P.; Büsching, A.; Schmidt, U.; Monger, M.; Schnürer, F.; Müller, P.; Satzger, G.; Kühl, N.; Vössing, M.; Schemmer, M.
2021 Full textFull text of the publication as PDF document
2020
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
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/CBI49978.2020.00016Full 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. Proceedings of the 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
2019
Journal Articles
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 
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 (HICSS-52), Grand Wailea, Maui, Hawaii, January 8-11, 2019, 1005–1012 Full textFull text of the publication as PDF document
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 
Conference Proceedings
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
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) 
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_231Full 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
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
“Need tweets”: New insights about customer needs from micro blog data in the field of e-mobility.
Kühl, N.; Goutier, M.
2016. 46. Jahrestagung der Gesellschaft fur Informatik - 46th Annual Meeting of the German Informatics Society, INFORMATIK 2016; Klagenfurt; Austria; 26 September 2016 through 30 September 2016. Ed.: H. C. Mayr, 1363–1376, Gesellschaft für Informatik (GI) 
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
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 
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 
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 
2012
Audio & Video
My Campus Studie.
Ott, C.; Heuser, K.; Schreiber, K.; Kühl, N.; Kunz, A. M., [Interviewter]; Lehrstuhl für Soziologie des Wissens [Redakteur].
2012. doi:10.5445/DIVA/2012-60