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Prof. Dr. Jan Marco Leimeister

Büro 52-6020
Müller-Friedberg-Strasse 6/8
9000 St. Gallen
+41 71 224 3330


  • Dienstleistungsengineering & Management (Product Service Systems, Service Design, Service Innovation, etc.)
  • Collaboration Engineering (CSCW, Collaborative Requirements Engineering, Virtuelle Communities, Social Computing, etc.)
  • Crowdsourcing, IT Innovationen & IT Innovation Management (Open Innovation, IT-enabled Innovations, Social Media, etc.)
  • Strategisches IT Management (Cloud Computing, IT bei M&A, Wertbeitrag von IT, etc.)
  • Ubiquitous Computing / Mobile Commerce; Betreuung und Leitung diverser von EU, BMBF, BMWi, DFG und Industrie finanzierter Forschungvorhaben (siehe Projektübersicht an der Universität Kassel)
  • Forschungsgebiete

  • Crowdsourcing, Crowd Work
  • Digital Business
  • Digital Transformation
  • Dienstleistungsengineering und Dienstleistungsmanagement
  • IT-gestützte Zusammenarbeit
  • Weitere Forschungsgebiete

  • Digitale Arbeit
  • IT-unterstütztes Lernen, Blended Learning
  • Agile Transformation
  • Agile Innovation
  • Internet Economy
  • Publikationen

    Advances in Natural Language Processing offer techniques to de- tect the empathy level in texts. To test if individual feedback on certain students’ empathy level in their peer review writing pro- cess will help them to write more empathic reviews, we developed ELEA, an adaptive writing support system that provides students with feedback on the cognitive and emotional empathy structures. We compared ELEA to a proven empathy support tool in a peer review setting with 119 students. We found students using ELEA wrote more empathic peer reviews with a higher level of emotional empathy compared to the control group. The high perceived skill learning, the technology acceptance, and the level of enjoyment provide promising results to use such an approach as a feedback application in traditional learning settings. Our results indicate that learning applications based on NLP are able to foster empathic writing skills of students in peer review scenarios.

    Wissenschaftlicher Artikel
    Volatility, uncertainty, complexity, and ambiguity (VUCA) are drivers in today's business world. To perform amid this accelerated change and the digitalization progress, organizations are implementing agility. However, such an implementation does not happen without stumbling blocks and some fail. One reason for this is actors’ agile mindset (AM), which is necessary to deal succefully within a VUCA environment. Knowledge of the AM is in its infancy and conceptualization and measuring tools for it are lacking. Furthermore, the relation of the AM in terms of strategic agility and performance is still unclear. Our study aims to close these gaps. We examine AM through 15 interviews and a survey (N = 449) to predict strategic agility and performance. As a result, we conceptualize AM as an attitude that comprises four dimensions: attitude towards 1) learning spirit, 2) collaborative exchange, 3) empowered self-guidance, and 4) customer co-creation. Furthermore, we describe how actors with an AM deal with new technologies. We found that AM affects organizational performance mediated by strategic agility. These findings contribute to the agility and management research by providing a conceptualization and measuring instrument for AM. Furthermore, its relevance for strategic agility is explained and its relationship with organizational performance outlined

    The ability of students to self-monitor their learning paths is in demand as never before due to the recent rise of online education formats, which entails less interaction with lecturers. Recent advantages in educational process mining (EPM) offer new opportunities to monitor students’ learning paths by processing log data captured by technology-mediated learning environments. However, current literature falls short on providing user-centered design principles for IT-tools which can monitor learning paths using EPM. Hence, in this paper, we examine how to design a self-monitoring tool that supports students to evaluate their learning paths. Based on theoretical insights of 66 papers and nine user interviews, we propose seven design principles for an IT-tool which facilitates self-monitoring for students based on EPM. Further, we evaluate the design principles with seven potential users. Our results demonstrate a promising approach to help students improve their self-efficacy in their individual learning process using EPM.

    Today’s servitized and digitalized society has significant implications for the economic system as value creation increasingly shifts towards digital services. Organizations are increasingly relying of artificial intelligence, which enables them to operate with novel technological artifacts like conversational agents (CA). These human-like AI-driven artifacts open new possibilities and channels for service providers to scale up their business even further and to create a business value or even to make processes more efficient. While we witness the results of that each day, we do not fully understand how such CAs can contribute to scaling up a business. Therefore, we conduct an analysis of service research and popular CAs to determine the status quo and highlight opportunities for scaling services with CAs. We contribute to theory by clarifying the meaning of scalability in combination with CAs and support practitioners by providing an overview about how organizations successfully scale their CAs.

    Wie sehen gelungene Studienprogramm-Reformen an einer spezifischen Hochschule aus? Welche Faktoren sind dabei wichtig und wie kann üblichen Herausforderungen erfolgreich begegnet werden? In diesem Beitrag stellen wir die Ergebnisse der Evaluation einer Studienprogramm-Reform an der Universität St. Gallen (HSG) dar. Ausgehend vom aktuellen Stand der wissenschaftlichen Diskussion um Studienprogramm-Reformen, werden Faktoren einer gelungenen Reform aus zwei Befragungen abgeleitet, die diese Reform begleiteten.

    get_appChristian Engel, Philipp Ebel, Jan Marco Leimeister
    Wissenschaftlicher Artikel
    Facilitated by AI technology, the phenomenon of cognitive automation extends the scope of deterministic business process automation (BPA) through the probabilistic automation of knowledge and service work. By transforming work systems through cognitive automation, organizations are provided with vast strategic opportunities to gain business value. However, research lacks a unified conceptual lens on cognitive automation, which hinders scientific progress. Thus, based on a Systematic Literature Review, we describe the fundamentals of cognitive automation and provide an integrated conceptualization. We provide an overview of the major BPA approaches such as workflow management, robotic process automation, and Machine Learning-facilitated BPA while emphasizing their complementary relationships. Furthermore, we show how the phenomenon of cognitive automation can be instantiated by Machine Learning-facilitated BPA systems that operate along the spectrum of lightweight and heavyweight IT implementations in larger IS ecosystems. Based on this, we describe the relevance and opportunities of cognitive automation in Information Systems research.

    The increasing digitalization and automatization in the manufacturing industry as well as the need to learn on the job has reinforced the need for much more granular learning, which has not yet impacted the design of learning materials. In this regard, granular learning concepts require situated learning materials to support self-directed learning in the workplace in a targeted manner. Co-creation approaches offer promising opportunities to support employees in the independent design of such situated learning materials. Using an action-design research (ADR) approach, we derived requirements from co-creation concepts and practice by conducting focus group workshops in manufacturing and vocational training schools to develop design principles for a co-creation system that supports employees through the creation process of work-process-related learning material. Consequently, we formulate four design principles for the design of a collaborative learning and qualification system for manufacturing. Using an innovative mixed methods approach, we validate these design principles and design features to demonstrate the success of the developed artifact. The results provide insights regarding the design of a co-creation system to support learners in the co-creation of learning material with the consideration of cognitive load (CL). Our study contributes to research and practice by proposing novel design principles for supporting employees in peer creation processes. Furthermore, our study reveals how co-creation systems can support the collaborative development of learning materials in the work process.

    Design science projects are of great interest in information systems (IS) research. Typically, design-oriented projects generate valuable design knowledge through the design and possible instantiation of artifacts. Although designing novel artifacts and accumulating design knowledge is common practice in IS, there is still limited shared knowledge about the distinctive characteristics of design knowledge to facilitate its accumulation. To address this issue, we develop a design knowledge taxonomy and contribute to a deeper understanding of design knowledge properties. The taxonomy is grounded on a systematic literature review, followed by a combination of empirical-to-conceptual and conceptual-to-empirical iterations. We evaluate the taxonomy by interviewing six domain experts and demonstrate its practical application and utility. Thus, the taxonomy consists of key dimensions and characteristics of design knowledge and contributes to a better scientific understanding of its characteristics. Practitioners can use the taxonomy as an instrument to further understand, design, and accumulate design knowledge.

    Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.

    Design Thinking has become a well-established approach to solving wicked problems through creative and conceptual solutions. Thus, Design Thinking approaches usually end with finding novel solutions but do not offer support in the practical implementation of these solutions. To bridge the gap between finding creative solutions and implementing them into suitable end products, we see Design Patterns as a useful approach to combine the advantages of both sides—the human-centered Design Thinking approach and the practical implementation in system development. Design Patterns offer proven solutions to recurring problems and thus provide design knowledge to solve complex design problems. In this contribution, we demonstrate how Design Patterns act as a complement to Design Thinking by using the example of designing a lawful smart personal learning assistant. We use Design Thinking to extract the design solution of the lawful learning assistant and develop it with the help of Design Patterns. We demonstrate the use of Design Patterns by using the deletion routine Design Pattern as an example of how a Design Pattern can be used for lawful design in addition to their known fields of application in system development. The evaluation results show that the combination of Design Thinking and Design Patterns lead to an approach that not only identifies novel, complex solutions but also supports their practical implementation.



    Jan Marco Leimeister studierte Wirtschaftswissenschaften mit Schwerpunkt Wirtschaftsinformatik an der Universität Hohenheim, wo er auch im Bereich Wirtschaftsinformatik zum Thema systematische Entwicklung, Einführung und Betrieb Virtueller Communities mit Auszeichnung promovierte. Von 2004 bis 2008 war er an der Technischen Universität München, Institut für Informatik, Lehrstuhl für Wirtschaftsinformatik als wissenschaftlicher Assistent tätig. Er habilitierte sich im Jahr 2008 mit einer Arbeit zur hybriden Wertschöpfung in der Gesundheitswirtschaft. Im Jahre 2008 wurde Leimeister an die Universität Kassel berufen, 2012 an die Universität St. Gallen. Er führt beide Tätigkeiten in Teilzeit fort. Leimeister hilft Unternehmen und Organisationen als Coach, Trainer, Berater, Beirat und Referent beim Management von technischem, strategischem und organisatorischem Wandel und ist Mitglied in diversen Beiräten auf nationaler und internationaler Ebene.


    • Business Engineering, Digital Business und Digital Transformation (Master)
    • Service Design, Service Innovation
    • Collaboration Engineering
    • Forschungs-Praxis Ventures (FPV)
    • Information Management
    • Doktoratskurse



    Seit 1998 freiberufliche berufspraktische Erfahrungen im Bereich Anwendungsentwicklung, IT & Strategie, IT Innovationen, Projektmanagement, Change Management, Produkt- und Dienstleistungsentwicklung.

    Mehrjährige Erfahrung in diversen Verwaltungsrats- und Beiratsfunktionen in Internetagenturen, Online Marketing Anbietern, IT & Consulting Unternehmen.

    Beratungsprojekte u.a. mit BBraun, BMW, Bosch, Daimler, Deutsche Telekom, O2 Telefonica, SAP, Siemens, Volkswagen etc sowie diversen Mittelständlern.


    Die Wirtschaftswoche sieht Jan Marco Leimeister in ihrem 2019er Forschungsleistungsranking auf Platz 4 der forschungsstärksten BWL Professoren auf Basis der Publikationsleistung der letzten 5 Jahre sowie auf Platz 8 im Ranking der Lebenswerke, gemessen an der Publikationsleistung seit Karrierebeginn (von 2.824  untersuchten BWL Professoren).

    Das Handelsblatt sah Jan Marco Leimeister in seinem 2014er Forschungsleistungsrankig auf Platz 13 aller BWL-Professoren auf Basis der Publikationsleistung der letzten 5 Jahre (von über 2600 untersuchten Forschern aus D/A/CH).

    Im 2012er Forschungsleistungsranking des Handelsblatt war Leimeister der forschungsstärkste Wirtschaftsinformatiker unter 40 Jahren und auf Rang 31 der forschungsstärksten BWL Professoren auf Basis der Publikationsleistung der letzten 5 Jahre (von über 3000 untersuchten Forschern aus D/A/CH).

    Beim 2009er Handelsblattranking wurde Leimeister auf Rang 40 aller Forscher bzw. unter den forschungsstärksten fünf Wirtschaftsinformatikern auf Basis der Publikationsleistung der letzten 5 Jahre (von über 2100 untersuchten Forschern aus D/A/CH) eingestuft.


    • vhb - Verband der Hochschullehrer für Betriebswirtschaft
    • GI - Gesellschaft für Informatik
    • AIS - Association for Information Systems
    • ACM - Association for Computing Machinery
    • Academy of Management (AoM)

    Editorial Board

    • Senior Editor Journal of Information Technology (JIT)
    • Editorial Board Member Journal of Management Information Systems (JMIS)
    • Associate Editor European Journal of Information Systens (EJIS)
    • Department Editorial Board Member Business and Information Systems Engineering (BISE)

    Weitere Informationen


    Als Berater, Coach, Beirat, Redner und Moderator hilft Jan Marco Leimeister Organisationen bei der Innovationsentwicklung und dem Management von organisatorischem, technischem und strategischem Wandel. Besonderes Augenmerk liegt auf der Förderung von Start Ups. Schwerpunkte seiner Arbeit umfassen die Anwendung neuer wissenschaftlich fundierter Methoden, Technologien und Konzepte

    Diverse freiberufliche beratende, gutachterliche und Beiratstätigkeiten. Langjährige berufspraktische Erfahrungen in Beiräten und Verwaltungsrat im Bereich Digital Business, Management von Informatik-Ressorts, Consulting-Unternehmen und Internetagenturen.


    • Habilitation an der Technischen Universität München, Thema "Hybride Wertschöpfung in der Gesundheitswirtschaft", Tätigkeit am Institut für Informatik.
    • Promotion an der Universität Hohenheim, Fachgebiet Wirtschaftsinformatik, Thema "Pilotierung virtueller Communities im Gesundheitsbereich".
    • Studium der Wirtschaftswissenschaften (insb. Wirtschaftsinformatik, Internationales Management und Marketing) an der Universität Hohenheim.