IISM | Digital Service Innovation  Prof. Dr. Gerhard Satzger
SDaC

SDaC consortium meeting

  • Date: 14.10.2020
  • Last Thursday, on 08.10.2020, about 30 consortial partners of the SDaC project met locally in Karlsruhe and digitally. The aim was to review the current work progress. In the afternoon, digital technologies and construction machinery were the focus of a hands-on workshop. On friday, on 09.10.2020, our partners were invited to participate. Here we tested together our current wireframes to get feedback for the next steps in our development.

    If you have any questions about the use of artificial intelligence in the construction industry, please feel free to contact our staff directly: Michael Vössing, Benedikt Blumenstiel, Patrick Hemmer.

     

Clemens Wolff PhD

Clemens Wolff successfully defended his Ph.D. thesis on System-oriented service delivery

Max Schemmer and Patrick Hemmer

New members of the DSI team: Max Schemmer und Patrick Hemmer

  • Date: 10.08.2020
  • Max Schemmer earned his Bachelor's degree in Economics at the University of Cologne. He graduated with a Master's degree in technical economics from the Karlsruhe Institute of Technology (KIT). From August 2020 he is working on his PhD in cooperation with IBM in the Applied AI Lab of the Digital Service Innovation group. During his doctorate he is working on the topic AI-based Servitization.

    Patrick Hemmer graduated from the Karlsruhe Institute of Technology (KIT) with a bachelor’s and a master’s degree in Industrial Engineering and Management. As part of the master’s degree, he studied for one year at the University of Linköping in Sweden and participated in the Service Design Thinking program of the KSRI. Patrick is a research associate at the Applied AI Lab. His research interests include Machine Learning & Deep Learning, Computer Vision, Active Learning, Human-Computer-Collaboration, Human-Centered Artificial Intelligence.

Will the customers be happy?

Will the customers be happy? Identifying unsatisfied customers from service encounter data

  • Date: 07.07.2020
  • The paper “Will the customers be happy? Identifying unsatisfied customers from service encounter data” was accepted for publication in the Journal of Service Management. The authors Lucas Baier, Niklas Kühl, Ronny Schüritz and Gerhard Satzger show how machine learning can be applied to predict the satisfaction of customers based on data retrieved from IT incident tickets. In contrast to traditional approaches (e.g., surveys) which suffer from drawbacks such high manual effort or delayed availability, the approach proposed in the paper offers an extendable, data-based solution which elicits customer satisfaction in an automated and cost-effective way. This information enables service providers to immediately address service failures and start recovery actions early.

Cloud Services Workshop

Cloud Services Workshop

  • Date: 06.07.2020
  • Since 2015, an Cloud Workshop has been integrated into the lecture “Digital Services”. In this workshop, students gain hands-on experience with IBM Cloud services and build small prototypes for a specific use case.

    Beside the lecturers, a small team of IBMers participates to support students and give insights into real work life. Because of the current COVID-19 pandemic, this year’s workshop was organized as a completely virtual event. Nevertheless, around 60 students took part and developed awesome results in a short timeframe. On the first day of the workshop, we introduced the IBM Cloud platform, primarilyNode-RED with Watson services, and a (hypothetical) use case. The students’ task was to generate innovative cloud service ideas for “Das Fest” 2021, considering special challenges of COVID-19. Then, the students had three weeks to refine their ideas and develop working prototypes, which they presented on the second workshop day. A recurring idea was to use the Watson Visual Recognition service to detect if a person wears a mask when entering the festival area. Another group of services regarded the prevention of queues and overcrowding, e.g., by offering online food ordering. One group created a Telegram chatbot, while another group developed a service to regularly remind festival visitors to wash their hands. Oneof the most interesting prototypes contained capacity management, including a visual recognition “mask check” service, and real-time mood analysis based on tweets. 

Healthy surveillance

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

  • Date: 30.06.2020
  • The trade-off between personal data protection and AI performance is an exciting field of research. In the ongoing fight against the spread of the novel coronavirus COVID-19, many governments have recommended—or even obliged—their citizens to wear masks as an effective countermeasure. In an interdisciplinary, cross-institute (IISM , KSRI and SECUSO) work, Niklas Kühl, Dominik Martin, Clemens Wolff, and Melanie Volkamer show what a data protection-friendly mask recognition video system could look like.

ecmlpkdd2020

Publication accepted at the European Conference of Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  • Date: 18.06.2020
  • The paper “An uncertainty-based human-in-the-loop system for industrial tool wear analysis” of our master student Alexander Treiss, Jannis Walk and Niklas Kuehl was accepted for publication at The European Conference of Machine Learning and Principles and Practice of Knowledge Discovery in Databases. In the paper uncertainty measures based on Monte-Carlo dropout are used in the context of a human-in-the-loop system to increase the transparency and performance of the utilized convolutional neural network. A multiple linear regression is used to predict the quality of predictions. In case a prediction is estimated to be of low quality a human expert is asked to generate a prediction for the corresponding input. A simulation study demonstrates that the uncertainty-based human-in-the-loop system increases performance for different levels of human involvement in comparison to a random-based human-in-the-loop system. The system was developed in cooperation with Ceratizit Austria GmbH, in the research project Vertical Integration Analytics.

    Feel free to contact the authors for more information.

ECIS2020

ECIS 2020

  • Date: 14.05.2020
  • 14 KIT contributions are accepted for the upcoming European Conference on Information Systems (ECIS) – across our information system research groups of Prof. Mädche, Prof. Satzger, Prof. Sunyaev (AIFB), and Prof. Weinhardt. We congratulate all author teams! 

    • Adam, M., Niehage, L., Lins, S., Benlian, A., and Sunyaev, A. (2020). "Stumbling over the Trust Tipping Point – The Effectiveness of Web Seals at Different Levels of Website Trustworthiness", to appear in: ECIS 2020 Proceedings.
    • Benke, I. and Gnewuch, U. (2020). “Towards Design Principles for Trustworthy Affective Chatbots for Virtual Teams“, to appear in: ECIS 2020 Proceedings.
    • Enders, T., Benz, C., Schüritz, R., and Lujan, P. (2020). “How to Implement an Open Data Strategy“, to appear in: ECIS 2020 Proceedings.
    • Enders, T., Wolff, C., Satzger, G. (2020). “Knowing What to Share: Selective Revealing in Open Data”, to appear in: ECIS 2020 Proceedings.
    • Gnewuch, U., Meng, Y., and Maedche, A. (2020). “The Effect of Perceived Similarity in Dominance on Customer Self-Disclosure to Chatbots in Conversational Commerce“, to appear in: ECIS 2020 Proceedings.
    • Golla, A., Henni, S., and Staudt, P. (2020). “Scaling the Concept of Citizen Energy Communities through a Platform-based Decision Support System “, to appear in: ECIS 2020 Proceedings.
    • Kannengießer, N., Lins, S., and Sunyaev, A. (2020). "Uncertainties Toward Permissioned Distributed Ledgers: A Multi-Actor Uncertainty Conceptualization”, to appear in: ECIS 2020 Proceedings.
    • Karb, T., Kühl, N., Hirt, R., and Glivici-Cotrută, V. (2020). “A Network-Based Transfer Learning Approach to Improve Sales Forecasting of New Products“, to appear in: ECIS 2020 Proceedings.
    • Loewe, N. and Nadj, M. (2020). “Physio-Adaptive Systems - A State-of-the-Art Review and Future Research Directions“, to appear in: ECIS 2020 Proceedings.
    • Michalczyk, S., Nadj, M., Azarfar, D., Maedche, A., and Groeger, C. (2020). “A State-of-the-Art Overview and Future Directions of Self-Service Business Intelligence and Analytics“, to appear in: ECIS 2020 Proceedings.
    • Michaelczyk, S. and Scheu S., (2020). “Designing an Analytical Information Systems Engineering Method“, to appear in: ECIS 2020 Proceedings.
    • Morana, S., Gnewuch, U., Jung, D., and Granig, C. (2020). “The Effect of Anthropomorphism on Financial Decision-Making with Robo-Advisor Chatbots“ , to appear in: ECIS 2020 Proceedings.
    • Reuter-Oppermann, M., and Wolff, C. (2020). “Towards Enabling Customer-Centric Emergency Logistics in Healthcare“, to appear in: ECIS 2020 Proceedings.
    • Rietz, T., and Schneider, F. (2020). “We see we disagree: Insights from Designing a Cooperative Requirements Prioritization System“, to appear in: ECIS 2020 Proceedings.
    • Beside the research papers, Tim Rietz was accepted to present his PhD project titled “Designing scalable AI-based Requirements Eclitation and Analysis Systems“ at the Doctoral Consortium.
DESRIST2020

DESRIST 2020

  • Date: 27.04.2020
  • IISM will be present at the 15th International Conference on Design Science Research in Information Systems and Technologies (DESRIST) in Kristiansand, Norway with 5 accepted papers in the fields of Digital Service Design & Innovation, Applied AI for Services and Digital Experience & Participation: 

     

    Wolff / Kühl / Satzger:  “Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery"

    Martin / Kühl / von Bischhoffshausen / Satzger: “System-wide Learning in Cyber-Physical Service Systems: A Research Agenda" 

    Hunke / Seebacher / Thomsen: “Please Tell Me What to Do – Towards a Guided Orchestration of Key Activities in Data-Rich Service Systems“

    Purao / Chandra Kruse / Maedche: “The Origins of Design Principles: Where do… they all come from?…“

    Feine / Adam / Benke / Maedche / Benlian: "Exploring Design Principles for Enterprise Chatbots: An Analytic Hierarchy Process Study“ 

     

    For more information feel free to contact the authors.

Benedikt Blumenstiel and Daniel Heinz

New members of the DSI team: Benedikt Blumenstiel and Daniel Heinz

  • Date: 21.04.2020
  • Benedikt Blumenstiel is studying Information Systems at KIT and will work as a Junior Researcher of the KSRI. He got to know the DSI/IISM through his bachelor thesis on Text Mining and is now developing AI applications for the construction industry.

    Daniel Heinz is studying Industrial Engineering and Management and is in the final year of his Master’s degree with focus on Management and Applied Informatics. After finishing his Bachelor’s degree in April 2018, he first spend a semester abroad at Queensland University of Technology (QUT) in Brisbane (Australia), where he took part in the local design thinking program as one of his classes. Since October, he already contributed to the BigDieMo 2.0 project as a student assistant at IISM/KSRI. In his new role as a Junior Researcher he will continue to do research on data-based services.

     

Servicetoday

SERVICETODAY introduces current KSRI projects of DSI in the area of data-based services

  • Date: 26.03.2020
  • The current issue of the magazine SERVICETODAY (Magazine of KVD on management, organization and practice in service) introduces three ongoing projects of DSI at KSRI on data-driven services:

    BigDIeMo: The project aims at the systematic development of data-based services starting from new data resources including with concrete methodological workshops. Contact: Fabian Hunke

    Service Meister: The project investigates the possibilities for the use of AI solutions to support complex service processes. Contact person: Lucas Baier

    bi.smart: The new bi.smart project is working on a new development logic in which data from the customer to the service and product design are newly systematized and transferred into a dynamic process model. Contact person: Carina Benz

    You can download the complete article on this page.

Service Analytics A

Applications for Service Analytics A (reworked lecture concept)

  • Date: 19.03.2020
  • In the upcoming summer term we offer the lecture "Service Analytics - A" with a new teaching concept. Based on a practical use case from the field of "Computer Vision", students will have the opportunity to implement a technical prototype of an analytics service independently in small groups. For this purpose, the lecture provides theoretical basics of machine learning and computer vision as well as practical application examples. Further information and applications: https://dsi.iism.kit.edu/64_411.php and https://portal.wiwi.kit.edu/ys/3539

     

     

WI2020

DSI at WI2020

  • Date: 13.03.2020
  • The research groups of Prof. Mädche, Prof. Satzger, and Prof. Weinhardt from IISM and KSRI were present at the 15th International Tagung Wirtschaftsinformatik (WI-2020) in Potsdam with 9 publications:

    • Blockchain and Trust in the Platform Economy: The Case of Peer-to-Peer Sharing (Dann, D., Peukert, C., Hawlitschek, F., Martin, C., and Weinhardt, C.)
    • Designing Analytics-Based Services: Exploring Design Requirements for Methodological Tool Assistance in Service Design Teams (Hunke, F. and Kiefer, F.)
    • Discovering Core Modules of Platform-based Software Ecosystems for Non-Profit Sport Organizations (Benke, I., Guth, P., Rietz, T., and Maedche, A.)
    • Enriching E-Participation through Augmented Reality: First Results of a Qualitative Study (Fegert, J., Pfeiffer, J., Peukert, C., and Weinhardt, C.)
    • Handling Concept Drifts in Regression Problems – the Error Intersection Approach (Baier, Lucas; Hofmann, Marcel, Kühl, Niklas; Mohr, Marisa; Satzger, Gerhard)
    • Machine Learning for Bitcoin Pricing — A Structured Literature Review (Jaquart, P., Dann, D., and Martin, C.)
    • Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning (Knaeble, M., Nadj, M., and Maedche, A.)
    • Trustworthy AI: How Ethicswashing Undermines Consumer Trust (Peukert, C. and Kloker, S.)
    • Pathways from Data to Value: Identifying Strategic Archetypes of Analytics-Based Services (Hunke, Fabian; Seebacher, Stefan; Schüritz, Ronny; Satzger, Gerhard)

    For further information feel free to directly contact the authors.

BigDieMo Workshops

BigDieMo 2.0 Workshops

  • Date: 03.03.2020
  • As part of the BigDieMo 2.0 research project, the IISM team held two workshops this week with the companies Unicorn Engineering GmbH (Schwäbisch Gmünd) and CTC battery technology GmbH (Böblingen). The workshop concept for the user-centric development of data-based services, which was developed in the past months, was tested in practice. The workshop concept builds on the results of the preliminary project BigDieMo and additionally integrates design thinking methods to support SMEs in the systematic development of data-based business models. In addition, the two events have already set the course for future cooperation in the context of further research projects.

     

IESS2020

DSI at IESS in Porto

ISACA Thesis Award

Manuela Hofmann received the ISACA Germany Chapter Thesis Award

  • Date: 13.01.2020
  • Congratulations to our former master student Manuela Hofmann whose thesis now received the ISACA Germany Chapter Thesis Award.  Her thesis on prioritization of digital projects - targeting to improve IT project porftfolio management - was written in cooperation with the Digital Office of TRUMPF and a summary appeared in HMD.

    Thanks to Dr. Ulrich Faisst, Thomas Pschybilla, Tobias Enders and Michael Vössing for their support!

Paper-A-Thon

Niklas Kühl is paper-a-thon winner of ICIS 2019

  • Date: 20.12.2019
  • Together with Prof. Dr. Christian Meske (FU Berlin) and Jodie Lobana (McMaster University, Hamilton, Canada), Dr. Niklas Kühl won the Paper-a-Thon at the International Conference on Information Systems (ICIS) 2019. The final topic was "Do you comply with AI? - The impact of personalized explanations of learning algorithms on compliance behavior".

    The paper focuses on machine learning algorithms as "black boxes" and addresses the situation that, based on different user backgrounds (experience, education, etc.), different mental models of reality and thus algorithms exist in organizational contexts. This requires a model-specific personalization of explanations ("Explainable AI"), which in turn have an influence on trust, compliance behavior and ultimately task performance. First results from a qualitative study support these assumptions, which will be tested quantitatively in a follow-up project.

WI-2020

Presence at Wirtschaftsinformatik Conference WI-2020

  • Date: 11.12.2019
  • The research groups of Prof. Mädche, Prof. Satzger, and Prof. Weinhardt from IISM and KSRI will be present at the 15th International Tagung Wirtschaftsinformatik (WI-2020) in Potsdam with 9 publications:

    • Blockchain and Trust in the Platform Economy: The Case of Peer-to-Peer Sharing (Dann, D., Peukert, C., Hawlitschek, F., Martin, C., and Weinhardt, C.)
    • Designing Analytics-Based Services: Exploring Design Requirements for Methodological Tool Assistance in Service Design Teams (Hunke, F. and Kiefer, F.)
    • Discovering Core Modules of Platform-based Software Ecosystems for Non-Profit Sport Organizations (Benke, I., Guth, P., Rietz, T., and Maedche, A.)
    • Enriching E-Participation through Augmented Reality: First Results of a Qualitative Study (Fegert, J., Pfeiffer, J., Peukert, C., and Weinhardt, C.)
    • Handling Concept Drifts in Regression Problems – the Error Intersection Approach (Baier, Lucas; Hofmann, Marcel, Kühl, Niklas; Mohr, Marisa; Satzger, Gerhard)
    • Machine Learning for Bitcoin Pricing — A Structured Literature Review (Jaquart, P., Dann, D., and Martin, C.)
    • Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning (Knaeble, M., Nadj, M., and Maedche, A.)
    • Trustworthy AI: How Ethicswashing Undermines Consumer Trust (Peukert, C. and Kloker, S.)
    • Pathways from Data to Value: Identifying Strategic Archetypes of Analytics-Based Services (Hunke, Fabian; Seebacher, Stefan; Schüritz, Ronny; Satzger, Gerhard)

    For further information feel free to directly contact the authors.

Lara Riefle and Jakob Schöffer

New members of the DSI team: Jakob Schöffer and Lara Riefle

  • Date: 03.12.2019
  • Jakob Schöffer earned his undergraduate degree in Industrial Engineering and Management from the Karlsruhe Institute of Technology (KIT). In 2017, Jakob graduated from the Georgia Institute of Technology in Atlanta, Georgia (USA) with a master’s in Operations Research. Upon graduation, he joined IBM in Armonk, New York (USA), working as a data scientist. After more than 2 years with IBM, Jakob returned to KIT in October 2019, where he is now working towards his PhD.

    Lara Riefle studied industrial engineering at the Karlsruhe Institute of Technology and wrote her bachelor's and master's thesis at KSRI. During her PhD Lara Riefle will be researching digital engagement and human behavior in Information Services.

     

DSI at IESS2020

DSI at IESS2020

  • Date: 15.11.2019
  • The DSI-group within IISM / KSRI is proud to have 4 papers accepted for the International Conference on Exploring Service Science (IESS) in Porto Feb 2020. 

    Conceptualizing the Role of Blockchain Technology in Digital Platform Business  // Tim Schulze, Stefan Seebacher, Fabian Hunke

    Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption - The Case of Data-Driven Services  //  Tobias Enders, Dominik Martin, Gagan Sehgal, Ronny Schüritz

    Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-Method for Predicting Industrial Costs of Downtime  // Clemens Wolff, Niklas Kühl, Gerhard Satzger

    Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime // Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Herslov

    Congratulation to the author teams around Clemens Wolff, Tobias Enders, Stefan Seebacher and Jannis Walk. It is particularly nice to see one of our graduate students, Tim Schulze, being part of the research work.

     

ICIS_2019

DSI at ICIS in Munich

  • Participation at ICIS 2019

    The research groups of Prof. Mädche, Prof. Satzger, and Prof. Weinhardt from IISM and KSRI will be present at the International Conference on Information Systems (ICIS) 2019 in Munich with 6 accepted conference papers.  Furthermore, Jasper Feine was accepted to participate at the ICIS Doctoral Consortium to present his PhD project “Design Principles for an Effective and Efficient Social Chatbot Development”.

    Full Research Papers

    M Knierim, M Nadj, M Xiling Li, and C Weinhardt (2019). Flow in Knowledge Work Groups – Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor?

    J Feine, S Morana, and A Maedche (2019). Designing a Chatbot Social Cue Configuration System.

    C Wolff, S Kimbrough, N Kühl (2019). Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery.

    S Diederich, M Janßen-Müller, AB Brendel, S Morana (2019). Emulating Empathetic Behavior in Online Service Encounters with Sentiment-Adaptive Responses: Insights from an Experiment with a Conversational Agent

    Short Papers

    D Dann, N Funk, C Meske, A Maedche, B Mueller, and T Teubner (2019). Toward a Platform for the Systematic Accumulation of Knowledge in IS Research

    R Schüritz, K Farrell, B Wixom, G Satzger (2019).Value Co-Creation in Data-Driven Services: Towards a Deeper Understanding of the Joint Sphere.

Service Meister Workshop

First Service Meister Workshop

  • The first Service Meister Workshop on "Artificial Intelligence for Small and Medium-Sized Businesses" enjoyed great participation from both the consortium and the various participating companies from German SMEs. After a general welcome by the host Andreas Weiss from the eco Association and a presentation of the Service Meister project, exciting talks on current topics in the field of Artificial Intelligence followed by leading experts from industry and science.

prenode

Founder of the month april: prenode

  • The prenode spin-off supports companies in the development of artificial intelligence (AI) by significantly reducing their development time. The tasks assigned to the AI are often similar to those of an industry. By securely exchanging AI models between companies while protecting data at the same time, the start-up enables faster development and continuous improvement of these AI models.

    Find more information on this Website .

wind rotor blades

Second life for used wind rotor blades

  • A large number of rotor blades from wind turbines reaches their end of life. A team of students from the university of St. Gallen and the Karlsruhe Institute of Technology (KIT) embarked on the challenge to find a second life for these blades. At Milano Design Week 2019 they presented their solution.

     

    Rotor blades from wind turbines must be replaced every twenty years. Their synthetic materials make them difficult to recycle and until today they are mostly shredded and burnt. As an ever-growing number of wind turbines reach their end of life, the German energy company RWE challenged a team of seven students from the University of St. Gallen and the Karlsruhe Institute of Technology to find a second purpose for used rotor blades – in other words, to create new user experiences based on this unusual material.

     

    Since October 2018, this team of students from the 2018/19 SUGAR program is working on solving this challenge. The students created a platform called “bladesign” which supports and empowers creative people during every step of their design process of repurposing rotor blade material. In order to enable the creators to effectively work with rotor blade material, bladesign aims to give them the inspiration, information, references, complementary expertise and network that they need. With such collaborations, the students hope to achieve an important step towards a more sustainable future.

     

    To test and improve the first release of their bladesign prototype, the student team initiated a collaboration with the German design studio Tarantik & Egger. Together with the students, the designers developed a unique furniture series made out of different parts of the outworn wind turbine rotor blades. The first items of this furtniture series (dining table, coffee table, shelf, and seats) are now available for purchase. The tables consist of a rotor blade base with a glass top, the seats of a rotor blade base with a soft leather cushion top.

     

    Together, the student team and Tarantik & Egger, jointly presented the rotor blade furniture series and the bladesign.de website at Milano Design Week 2019, from April 8 to 14. Both, furniture and bladesign received a lot of attention. In the next five weeks, the student team incorporates this feedback into their next bladesign.de release, just to enable more success stories such as the furniture series.

     

    Find the original article here.