Institute of Information Systems and Marketing (IISM)

Institute of Information Systems and Marketing (IISM)

Welcome

We create value from information.   About Us

We do so by:

  • developing methods to generate insights about organizations and customers from small and big data
  • generating empirical knowledge of individual and group behavior in markets
  • designing digital systems for organizations and the society
  • shaping the digital transformation of organizations and society.
 

With 7 professors  and associated research groups we contribute to research, education and innovation in the fields of information systems and marketing.

IISM Directors

Prof. Dr. Andreas Geyer-Schulz, Prof. Dr. Martin Klarmann, Prof. Dr. Alexander Mädche (Spokesperson), Prof. Dr. Gerhard Satzger, , Prof. Dr. Benjamin Scheibehenne, Prof. Dr. Christof Weinhardt  

Research Alliance ForDigital successfully completed
Research Alliance ForDigital successfully completed

The aim of the cross-location research alliance ForDigital between Karlsruhe and Mannheim was to better understand the mechanisms and effects of the rapid development of information and communication technologies (ICT) on the economy, society and individuals and, on this basis, to design innovative ICT solutions.

 

Further information is available here.

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Open Position: Digital Citizen Science
Open Position: Digital Citizen Science

In cooperation with our partner CAS Software AG we are offering a research assistant position in the field of digital citizen science with a specific focus on leveraging user-centered and participatory development processes for building digital citizen participation systems. Further information is available here.

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New Topic “Information Systems and Digital Ecosystems“ at KIT-Center KCIST
New Topic "Information Systems and Digital Ecosystems" at KIT-Center KCIST

The KIT Center for Information – Systems – Technologies (KCIST) has established a new research topic titled “Information Systems and Digital Ecosystems“.

Further information about KCIST and the new topic is available here.

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IISM publication at the ACM Conference for Computer-supported Cooperative Work and Social Computing (CSCW 2020)
IISM publication at the ACM Conference for Computer-supported Cooperative Work and Social Computing (CSCW 2020)

We are happy to announce that the paper “Chatbot-based Emotion Management for Distributed Teams: A Participatory Design Study” by Ivo Benke, Michael T. Knierim, and Alexander Maedche has been accepted at the CSCW 2020 and was presented at the conference virtually. The CSCW is the premier venue for presenting research in the design and use of technologies that affect groups, organizations, and communities.

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New Project: WorkLifeSens – Designing Sensor-based Worklife Assistance Systems
New Project: WorkLifeSens - Designing Sensor-based Worklife Assistance Systems

As part of the AI innovation competition of Baden-Württemberg the research project „WorkLifeSens“ focusing on delivering physio-adaptive assistance systems for the future workplace is funded.

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Benedikt Morschheuser appointed as Assistant Professor of “Digital Transformation” at Friedrich-Alexander University of Erlangen-Nuremberg (FAU)
Benedikt Morschheuser appointed as Assistant Professor of "Digital Transformation" at Friedrich-Alexander University of Erlangen-Nuremberg (FAU)

We are delighted to announce the appointment of Benedikt Morschheuser, former member of the Research Group Information Systems & Service Design (ISSD), as assistant professor for business informatics at the School of Business, Economics, and Society at FAU University. We congratulate him warmly and wish him all the best for his new position.

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Paper accepted for publication at the ACM Conference on Human Factors in Computing Systems (CHI 2021)
Paper accepted for publication at the ACM Conference on Human Factors in Computing Systems (CHI 2021)

The paper Cody: An AI-based System to Semi-Automated Coding for Qualitative Research by Tim Rietz and Alexander Maedche has been accepted for publication at CHI 2021. The CHI conference is the premier and most prestigious international conference on Human-Computer Interaction.

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Open Position: Physio-Adaptive Systems for the Future Workplace
Open Position: Physio-Adaptive Systems for the Future Workplace

In the research field „Intelligent Enterprise Systems“ we are offering a research assistant position in the field of physiological computing systems.

 

Further information is available here.

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Presence at Wirtschaftsinformatik Conference WI-2021
Presence at Wirtschaftsinformatik Conference WI-2021

The research groups of Prof. Mädche, Prof. Satzger, and Prof. Weinhardt from IISM and KSRI will be present at at the 16th International Tagung Wirtschaftsinformatik (WI-2021) (https://wi2021.de/) with 9 publications.

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Mit Gemeinwohl zur Bioökonomie
Mit Gemeinwohl zur Bioökonomie

Die Vereinten Nationen (UN) haben 2015 die Sustainable Development Goals (SDGs) verabschiedet, zu deren Erreichung bioökonomische Konzepte wesentlich beitragen können. Dies gelingt am besten, wenn soziale, ökologische und ökonomische Anforderungen in einem ausgewogenen Verhältnis zueinander stehen – ein schwieriges Unterfangen, wie z.B. die Interessenskonflikte um den Hambacher Forst gezeigt haben.

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New Project: MeKIDI examines humane process digitalization in the energy sector
New Project: MeKIDI examines humane process digitalization in the energy sector

AI-based technologies have shown great potential in achieving process automation and optimization for energy suppliers, but pose enormous challenges for organizations and their employees.

 

MeKIDI aims at developing and evaluating humane solution approaches for the implementation of AI-Technologies in the energy sector, taking both sustainable corporate goals and the interest of employees into account.

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New Publication in IEEE Transactions on Affective Computing: To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning
New Publication in IEEE Transactions on Affective Computing: To Be or Not to Be in Flow at Work: Physiological Classification of Flow using Machine Learning

The focal role of flow in promoting desirable outcomes in companies, such as increased employees’ well-being and performance, led scholars to study flow in the context of work. However, current measurement approaches which assess flow via self-report scales after task execution are limited due to obtrusiveness and a lack of real-time support. Hence, new measurement approaches must be created to overcome these limitations.

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