Applied AI in Services Lab

Overview

With the rise of (smart) service systems, there are increasingly opportunities for collaboration and new ways of co-creating value. Every action in a service system produces data that can be a valuable source of information to trigger value co-creation. Although the analysis of this data is crucial for its economic success, fully exploiting its potential still remains one of the challenges for smart service systems. In our lab, we analyze and improve such situations where relevant data sources and analytical knowledge are typically controlled by different entities—but not distributed or shared among them.

Research Topics

We are interested in the utilization of machine learning and artificial intelligence for the development of innovative services. We follow the complete lifecycle of AI from business problem to deployment, e.g. in the industrial sector. By actually designing and implementing AI-based services, we uncover new theoretical and practical knowledge.

Current Topics Include

AI in Service Systems
  • Meta machine learning
  • Transfer machine learning
  • System-oriented service delivery
AI for Industrial Services /
Smart Services
  • Predictive Maintenance cyber-physical Systems
  • Human-machine collaboration in services
  • AI-based industrial services
  • Validity of predictive services

Team

Lab Lead

Michael Vössing
+49 721 608-45624
michael.voessing∂kit.edu		 Philipp Spitzer
+49 721 608-45773
philipp.spitzer∂kit.edu

Members

Patrick Bigge
patrick.bigge∂partner.kit.edu		 Moritz Diener
moritz.diener∂kit.edu
Patrick Hemmer
patrick.hemmer∂kit.edu

Daniel Hendriks
daniel.hendriks∂kit.edu
Joshua Holstein
joshua holstein ∂does-not-exist.kit edu		 Nidhi Mishra
nidhi.mishra∂kit.edu
Sebastian Schäfer
sebastian.schaefer2∂kit.edu		    

Associated Researchers

Johannes Jakubik
johannes.jakubik∂kit.edu		 Niklas Kühl
kuehl∂uni-bayreuth.de
Max Schemmer
max schemmer ∂does-not-exist.ibm com		 Björn Schmitz
bjoern.schmitz∂partner.kit.edu
 

Publications


2025
Conference Papers
Designing AI Assistants for Novices: Bridging Knowledge Gaps in Onboarding
Holstein, J.; Müller, P.; Vössing, M.; Fromm, H.
2025. 58th Hawaii International Conference on Systems Sciences, Waikoloa, 7th-10th January 2025, Association for Information Systems (AIS)
2024
Journal Articles
Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability
Westphal, M.; Hemmer, P.; Vössing, M.; Schemmer, M.; Vetter, S.; Satzger, G.
2024. ACM Transactions on Interactive Intelligent Systems. doi:10.1145/3696423
Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations
Bode, J.; Kühl, N.; Kreuzberger, D.; Holtmann, C.
2024. IEEE Access, 12, 95402–95416. doi:10.1109/ACCESS.2024.3417291
The Impact of Imperfect XAI on Human-AI Decision-Making
Morrison, K.; Spitzer, P.; Turri, V.; Feng, M.; Kühl, N.; Perer, A.
2024. Proceedings of the ACM on human-computer interaction
Data-Centric Artificial Intelligence
Jakubik, J.; Vössing, M.; Kühl, N.; Walk, J.; Satzger, G.
2024. Business & information systems engineering, 66 (4), 507–515. doi:10.1007/s12599-024-00857-8
Conference Papers
Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models
Spitzer, P.; Celis, S.; Martin, D.; Kühl, N.; Satzger, G.
2024. MuC ’24: Proceedings of Mensch und Computer 2024. Ed. A. Maedche, 566–570, Association for Computing Machinery (ACM). doi:10.1145/3670653.3677488
(X) AI as a Teacher: Learning with Explainable Artificial Intelligence
Spitzer, P.; Goutier, M.; Kühl, N.; Satzger, G.
2024. MuC ’24: Proceedings of Mensch und Computer 2024. Ed.: A. Maedche, 571–576, Association for Computing Machinery (ACM). doi:10.1145/3670653.3677504
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages
Müller, L.; Hemmer, P.; Queisner, M.; Sauer, I.; Allmendinger, S.; Jakubik, J.; Vössing, M.; Kühl, N.
2024. Th 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, 20th -27th February 2024, 22948–22954, AAAI Press
Navigating the Synthetic Realm: Harnessing Diffusion-Based Models for Laparoscopic Text-to-Image Generation
Allmendinger, S.; Hemmer, P.; Queisner, M.; Sauer, I.; Müller, L.; Jakubik, J.; Vössing, M.; Kühl, N.
2024. AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health, Hrsg.: Arash Shaban-Nejad, Martin Michalowski, Simone Bianco, 31–46, Springer International Publishing
Explainability in AI-Based Applications - A Framework for Comparing Different Techniques
Grobrügge, A.; Mishra, N.; Jakubik, J.; Satzger, G.
2024. 26th IEEE Conference on Business Informatics (IEEE CBI 2024 2024) Vienna, Austria, 10.09.2024–13.09.2024, Institute of Electrical and Electronics Engineers (IEEE)
Bridging Domain Expertise and AI through Data Understanding
Holstein, J.
2024. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 163–165, Association for Computing Machinery (ACM). doi:10.1145/3640544.3645248
Understanding Data Understanding: A Framework to Navigate the Intricacies of Data Analytics
Holstein, J.; Spitzer, P.; Hoell, M.; Vössing, M.; Kühl, N.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS)
The Role of Cognitive Styles for Explainable AI
Riefle, L.; Hemmer, P.; Benz, C.; Vössing, M.
2024. 32nd European Conference on Information Systems (ECIS), Association for Information Systems (AIS)
2023
Journal Articles
Sanitizing data for analysis: Designing systems for data understanding
Holstein, J.; Schemmer, M.; Jakubik, J.; Vössing, M.; Satzger, G.
2023. Electronic Markets, 33 (1), Art.-Nr.: 52. doi:10.1007/s12525-023-00677-w
Enabling inter-organizational analytics in business networks through meta machine learning
Hirt, R.; Kühl, N.; Martin, D.; Satzger, G.
2023. Information technology and management. doi:10.1007/s10799-023-00399-7
Artificial intelligence for sustainability: Facilitating sustainable smart product-service systems with computer vision
Walk, J.; Kühl, N.; Saidani, M.; Schatte, J.
2023. Journal of Cleaner Production, 402, Art.-Nr.: 136748. doi:10.1016/j.jclepro.2023.136748
Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance
Westphal, M.; Vössing, M.; Satzger, G.; Yom-Tov, G. B.; Rafaeli, A.
2023. Computers in Human Behavior, Art.-Nr.: 107714. doi:10.1016/j.chb.2023.107714
Conference Papers
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation
Jakubik, J.; Muszynski, M.; Vössing, M.; Kühl, N.; Brunschwiler, T.
2023. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), 5638–5641, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS52108.2023.10282643
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
Blumenstiel, B.; Jakubik, J.; Kühne, H.; Vössing, M.
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023). doi:10.48550/arXiv.2306.15521
Online Emotions during the Storming of the U.S. Capitol : Evidence from the Social Media Network Parler
Jakubik, J.; Vössing, M.; Pröllochs, N.; Bär, D.; Feuerriegel, S.
2023. Proceedings of the 17th International AAAI Conference on Web and Social Media (ICWSM), Limassol, CY, June 5-8, 2023. Ed.: Y.-R. Lin, Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/icwsm.v17i1.22157
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
Schoeffer, J.; Jakubik, J.; Voessing, M.; Kuehl, N.; Satzger, G.
2023. HHAI 2023: Augmenting Human Intellect – Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence. Ed.: P. Lukowicz, IOS Press. doi:10.3233/FAIA230074
Online Platforms and the Fair Exposure Problem under Homophily
Schoeffer, J.; Ritchie, A.; Naggita, K.; Monachou, F.; Finocchiaro, J.; Juarez, M.
2023. Proceedings of the 37th AAAI Conference on Artificial Intelligence, 7th - 14th February 2023, Washington, DC, 11899–11908, AAAI Press. doi:10.1609/aaai.v37i10.26404
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts
Jakubik, J.; Weber, D.; Hemmer, P.; Vössing, M.; Satzger, G.
2023. Proceedings of the International Conference on Wirtschaftsinformatik, 18th - 21st Sept 2023, Paderborn
On the Perception of Difficulty: Differences between Humans and AI
Spitzer, P.; Holstein, J.; Vössing, M.; Kühl, N.
2023. AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences, CEUR-WS.org. doi:10.48550/arXiv.2304.09803
Learning to Defer with Limited Expert Predictions
Hemmer, P.; Thede, L.; Vössing, M.; Jakubik, J.; Kühl, N.
2023. Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, February 7-14, 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
Hemmer, P.; Westphal, M.; Schemmer, M.; Vetter, S.; Vössing, M.; Satzger, G.
2023. Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI 2023), 453–463, Association for Computing Machinery (ACM). doi:10.1145/3581641.3584052
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
Geiger, M.; Martin, D.; Kühl, N.
2023. 56th Hawaii International Conference on System Sciences, 825–834, IEEE Computer Society
Detecting Concept Drift With Neural Network Model Uncertainty
Baier, L.; Schlör, T.; Schöffer, J.; Kühl, N.
2023. 56th Hawaii International Conference on System Sciences
Reports/Preprints
On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Schöffer, J.; De-Arteaga, M.; Kühl, N.
2023. arxiv. doi:10.5445/IR/1000160696
ML-Based Teaching Systems: A Conceptual Framework
Spitzer, P.; Kühl, N.; Heinz, D.; Satzger, G.
2023. doi:10.5445/IR/1000158546
Posters
Learning through XAI: The Role of Learning Systems for Organizations
Spitzer, P.; Kühl, N.; Goutier, M.; Satzger, G.
2023, December 10. 44th International Conference on Information Systems (ICIS 2023), Hyderabad, India, December 10–13, 2023
2022
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)
Journal Articles
Artificial intelligence and machine learning
Kühl, N.; Schemmer, M.; Goutier, M.; Satzger, G.
2022. Electronic markets, 32 (4), 2235–2244. doi:10.1007/s12525-022-00598-0
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, 24 (3), 877–895. doi:10.1007/s10796-022-10284-3
Data‐driven allocation of development aid towards Sustainable Development Goals: Evidence from HIV/AIDS
Jakubik, J.; Feuerriegel, S.
2022. Production and Operations Management, 31 (6), 2739–2756. doi:10.1111/poms.13714
Design knowledge for deep-learning-enabled image-based decision support systems — evidence from power line maintenance decision-making
Landwehr, J.; Kühl, N.; Walk, J.; Gnädig, M.
2022. Business & information systems engineering, 64 (6), 707–728. doi:10.1007/s12599-022-00745-z
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
The cost of fairness in AI: Evidence from e-commerce
Zahn, M. von; Feuerriegel, S.; Kühl, N.
2022. Business & information systems engineering, 64, 335–348. doi:10.1007/s12599-021-00716-w
Conference Papers
On the Influence of Cognitive Styles on Users’ Understanding of Explanations
Riefle, L.; Hemmer, P.; Benz, C.; Vössing, M.; Pries, J.
2022. Proceedings of the Forty-Third International Conference on Information Systems (ICIS)
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. Proceedings of the 30th European Conference on Information Systems (ECIS), Timișoara, RO, June 18 - 24, 2022, Association for Information Systems (AIS)
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Hemmer, P.; Schellhammer, S.; Vössing, M.; Jakubik, J.; Satzger, G.
2022. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2478–2484, International Joint Conferences on Artificial Intelligence Organization (IJCAI). doi:10.24963/ijcai.2022/344
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
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
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
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning
Jakubik, J.; Blumenstiel, B.; Vössing, M.; Hemmer, P.
2022. Wirtschaftsinformatik 2022 : Proceedings. Bd.: 6, AIS eLibrary (AISeL)
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
Jakubik, J.; Hemmer, P.; Vössing, M.; Blumenstiel, B.; Bartos, A.; Mohr, K.
2022. Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022-01.03.2022, 12524–12530, Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v36i11.21522
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)
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) , 1490–1499, IEEE Computer Society
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), 1883–1892, IEEE Computer Society
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), 798–807, IEEE Computer Society
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
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
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
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
Presentations
Human-AI Complementarity
Kühl, N.
2022, March 3. University of Texas (2022), Austin, TX, USA, March 3, 2022
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
PhD Theses
Concept Drift Handling in Information Systems: Preserving the Validity of Deployed Machine Learning Models. PhD dissertation
Baier, L.
2021, September 9. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000137245
Journal Articles
Virtual Sensors
Martin, D.; Kühl, N.; Satzger, G.
2021. Business & information systems engineering, 63 (3), 315–323. doi:10.1007/s12599-021-00689-w
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
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
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
Hemmer, P.; Schemmer, M.; Vössing, M.; Kühl, N.
2021. PACIS 2021 Proceedings
Detecting Daytime Bruxism Through Convenient and Wearable Around-the-Ear Electrodes
Knierim, M.; Schemmer, M.; Woehler, D.
2021. Advances in Usability, User Experience, Wearable and Assistive Technology – Proceedings of the AHFE 2021 Virtual Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, July 25-29, 2021, USA. Ed.: T. Ahram, 26–33, Springer. doi:10.1007/978-3-030-80091-8_4
Predicting In-Field Flow Experiences Over Two Weeks From ECG Data: A Case Study
Knierim, M.; Pieper, V.; Schemmer, M.; Loewe, N.; Reali, P.
2021. Information Systems and Neuroscience: NeuroIS Retreat 2021. Ed.: F. D. Davis, 107–117, Springer. doi:10.1007/978-3-030-88900-5_11
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
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
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
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
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
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
Presentations
Object Detection in Floor Plans: Lessons From Designing a Human-in-the-Loop System
Hemmer, P.; Vössing, M.; Blumenstiel, B.
2021, March 24. Artificial Intelligence in Architecture, Engineering and Construction (2021), Online, March 24–25, 2021
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
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
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
Enabling Customer-Centric Emergency Logistics Through Systems Thinking
Reuter-Oppermann, M.; Wolff, C.
2020. 28th European Conference on Information Systems (ECIS) - Liberty, Equality, and Fraternity in a Digitizing World, Marrakech, MA, June 15 - 17, 2020, AIS eLibrary (AISeL)
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
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
A Reference Architecture for Cyber-Physical Fluid Power Systems: Towards a Smart Ecosystem
Martin, D.; Kunze von Bischhoffshausen, J.; Hensel, A.; Strandberg, J.
2020. Proceedings of the 12th International Fluid Power Conference (IFK), Dresden, Oktober 2020
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
Towards a Unified Understanding of Data-Driven Support for Emergency Medical Service Logistics
Reuter-Oppermann, M.; Wolff, C.
2020. Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, January 7 - 10, 2020. doi:10.24251/HICSS.2020.449
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
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
Reports/Preprints
Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short Term Memory Networks
Nazemi, A.; Jakubik, J.; Geyer-Schulz, A.; Fabozzi, F. J.
2020
“Healthy surveillance”: Designing a concept for privacy-preserving mask recognition AI in the age of pandemics
Kühl, N.; Martin, D.; Wolff, C.; Volkamer, M.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000120631
2019
Journal Articles
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau
Pschybilla, T.; Hofmann, M.; Enders, T.; Vössing, M.
2019. HMD Praxis der Wirtschaftsinformatik
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)
Redesigning Service Operations for the Digital World: Towards Automated and Data-driven Field Service Planning
Vössing, M.
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)
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)
Challenges in the Deployment and Operation of Machine Learning in Practice
Baier, L.; Jöhren, F.; Seebacher, S.
2019. ECIS 2019 proceedings . 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. Research Papers, Paper: 163, AIS eLibrary (AISeL)
A closer look on the difficulties to determine the quality of software requirements
Kummler, P.; Fromm, H.
2019. 2019 Workshops of the Software Engineering Conference, SEW 2019; Stuttgart; Germany; 18 February 2019 through 22 February 2019. Ed.: M. Konersmann, 53–60, RWTH Aachen
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
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
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
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
Journal Articles
White Spots in Business and IT: An Explorative Study for E-Mobility Services
Martin, D.; Kühl, N.; Stryja, C.; Haude, J.
2018. World Electric Vehicle Journal, 9 (2). doi:10.3390/wevj9020027
Conference Papers
How good are my requirements?: A new perspective on the quality measurement of textual requirements
Kummler, P. S.; Vernisse, L.; Fromm, H.
2018. 11th International Conference on the Quality of Information and Communications Technology, QUATIC 2018; University of CoimbraCoimbra; Portugal; 4 September 2018 through 7 September 2018, 156–159, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/QUATIC.2018.00031
Towards Enabling Cyber-Physical Systems in Brownfield Environments: Leveraging Environmental Information to Derive Virtual Representations of Unconnected Assets
Bader, S. R.; Wolff, C.; Vössing, M.; Schmidt, J.-P.
2018. 9th International Conference on Exploring Service Science, IESS 2018; Karlsruhe; Germany; 19 September 2018 through 21 September 2018, 165–176, Springer. doi:10.1007/978-3-030-00713-3_13
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)
Digitalization of Field Service Planning: The Role of Organizational Knowledge and Decision Support Systems
Vössing, M.; Wolff, C.; Reinerth, V.
2018. Exploring Service Science : 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19–21, 2018, Proceedings. Ed.: G. Satzger, 138–150, Springer International Publishing. doi:10.1007/978-3-030-00713-3_11
Employee-Centric Service Innovation: A Viable Proxy for Customer-Intimacy for Product-Focused Enterprises
Vössing, M.; Siegel, J.; Feldmann, N.; Wuest, T.; Benz, C.
2018. Exploring Service Science : 9th International Conference, IESS 2018, Karlsruhe, Germany, September 19–21, 2018, Proceedings. Ed.: G. Satzger, 88–100, Springer. doi:10.1007/978-3-030-00713-3_7
Towards Cognitive Sealing: Artificial Intelligence based Seal Condition Monitoring
Martin, D.; Schüle, C.; Kunze von Bischhoffshausen, J.
2018. 20th ISC: International Sealing Conference, Stuttgart, October 10-11, 2018
A Framework for the Simulation-Based Estimation of Downtime Costs
Wolff, C.; Vössing, M.
2018. Exploring Service Science. 9th International Conference (IESS 2018), Karlsruhe, 19. - 21. September 2018. Hrsg.: G. Satzger, 247–260, Springer. doi:10.1007/978-3-030-00713-3 _ 19
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 a Technician Marketplace using Capacity-Based Pricing
Wolff, C.; Vössing, M.; Schmitz, B.; Fromm, H.
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
Exploring Service Science : 9th International Conference (IESS 2018), Karlsruhe, September 19-21, 2018
Satzger, G.; Patricio, L.; Zaki, M.; Kühl, N.; Hottum, P.
2018. Springer-Verlag. doi:10.1007/978-3-030-00713-3
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)
Journal Articles
Künstliche Intelligenz : Löst Watson den Controller ab?
Satzger, G.; Enders, T.; Reimer, N.
2017. Controlling, (29), 24–30. doi:10.15358/0935-0381-2017-K
Conference Papers
Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0
Bader, S.; Vössing, M.; Wolff, C.; Walk, J.; Maleshkova, M.
2017. Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management), WM 2017, Karlsruhe, Germany, April 5-7, 2017. Hrsg.: Y. Sure-Vetter, 131–136, RWTH Aachen
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)
Determining cost-optimal availability for production equipment using service level engineering
Wolff, C.; Schmitz, B.
2017. 19th IEEE Conference on Business Informatics, CBI 2017; Thessaloniki; Greece; 24 July 2017 through 27 July 2017. Ed.: B. Theodoulidis, 176–185, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI.2017.47
Towards Managing Complexity and Uncertainty in Field Service Technician Planning
Vössing, M.
2017. Proceedings of the 19th IEEE Conference on Business Informatics, CBI 2017, Thessaloniki, Greece, 24th July - 27th July 2017, 312–319, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI.2017.50
More Observations, More Variables or More Quality? - Data Acquisition Strategies to Enhance Uncertainty Analytics for Industrial Service Contracting
Schmitz, B.; Satzger, G.; Gitzel, R.
2017. 8th International Conference on Exploring Service Science, IESS 2017; Rome; Italy; 24 May 2017 through 26 May 2017. Ed. : M. Dragoicea, 159–172, Springer International Publishing. doi:10.1007/978-3-319-56925-3_13
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
Towards Requirements Analytics : A Research Agenda to Model and Evaluate the Quality of Unstructured Requirements Specifications
Kummler, P.
2017. 8th International Conference on Exploring Service Science, IESS 2017; Rome; Italy; 24 May 2017 through 26 May 2017. Ed. : M. Dragoicea, 197–209, Springer International Publishing. doi:10.1007/978-3-319-56925-3_16
Presentations
Simulation-based Estimation of Downtime Costs
Wolff, C.; Vössing, M.
2017. International Conference on Operations Research (OR 2017), Berlin, Germany, September 6–8, 2017
Needmining : Towards a Modern Approach of Need Elicitation
Kühl, N.
2017. Doctoral Consortium, St. Gallen, Schweiz, 11. - 12. Februar 2017
2016
Journal Articles
Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles
Ensslen, A.; Kühl, N.; Stryja, C.; Jochem, P.
2016. World Electric Vehicle Journal, 8 (3), 667–678. doi:10.3390/wevj8030673
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
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
Introduction to the service analytics minitrack (Editorial)
Fromm, H.; Satzger, G.; Setzer, T.
2016. Proceedings of the 49th Annual Hawaii International Conference on System Sciences (HICSS-49), Kauai, Hawaii, January 5-8, 2016. Ed.: T.X. Bui, 1556, IEEE Computer Society. doi:10.1109/HICSS.2016.196
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
Books
Fundamentals of service systems
Cardoso, J.; Fromm, H.; Nickel, S.; Satzger, G.; Studer, R.; Weinhardt, C. (Eds.)
2015. Springer-Verlag. doi:10.1007/978-3-319-23195-2
Journal Articles
Advanced Analytics im Controlling : Potential und Anwendung für Umsatz- und Kostenprognosen
Satzger, G.; Holtmann, C.; Peter, S.
2015. Controlling, 27 (4/5), 229–235
Management der Interaktionsqualität in industriellen Dienstleistungsnetzwerken : Ein Service-Analytics-Ansatz für die Störungsbearbeitung
Satzger, G.; Hottum, P.
2015. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung, (69/15), 150–173
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
An Information System for Sales Team Assignments Utilizing Predictive and Prescriptive Analytics
Kunze von Bischhoffshausen, J.; Paatsch, M.; Reuter, M.; Satzger, G.; Fromm, H.
2015. 17th IEEE Conference on Business Informatics (CBI), 13th - 16th July, 2015, Lisbon, Portugal. Vol. 1, 68–76, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI.2015.38
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
2014
Journal Articles
Analytical support for predicting cost in complex service delivery environments
Vogt, A.; Mattfeldt, E. R.; Satzger, G.; Lueders, L.; Piper, M.; Gehb, O.; Jones, W. L.
2014. IBM journal of research and development, 58 (4), 7/1–10. doi:10.1147/JRD.2014.2327301
2012
Book Chapters
Service Analytics - Leveraging Data Across Enterprise Boundaries for Competitive Advantage
Fromm, H.; Habryn, F.; Satzger, G.
2012. Globalization of Professional Services: Innovative Strategies, Successful Processes, Inspired Talent Management, and First-Hand Experiences. Ed.: U. Bäumer, 139–149, Springer-Verlag. doi:10.1007/978-3-642-29181-4_13
2011
Conference Papers
Exploring the "crowd" as enabler of better information quality
Wichmann, P.; Borek, A.; Kern, R.; Woodall, P.; Parlikad, A. K.; Satzger, G.
2011. Proceedings of the 16th International Conference on Information Quality, ICIQ-11, Adelaide, Australia, 17th - 19th November 2011. Ed.: A. Koronios, 302–313, Curran
People Services: Efficient work processes leveraging the power of the crowd
Satzger, G.; Kern, R.; Pasing, A.; Pfau, G.; Fritz, R.; Alexander S.; Roland, P.
2011. 20th Annual Frontiers in Service Conference, June 30 - July 3, 2011, Columbus/Ohio, USA
CI Analytics - Assessment and Monitoring of Customer Intimacy in a B2B Context
Satzger, G.; Habryn, F.; Kölmel, B.; Herzig, T.
2011. 20th Annual Frontiers in Service Conference, June 30 - July 3, 2011, Columbus, Ohio