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Prof. Dr. Jan Marco Leimeister

Office 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

    Although conversational agents (CA) are increasingly used for providing purchase recommendations, important design questions remain. Across two experiments we examine with a novel fluency mechanism how recommendation modality (speech vs. text) shapes recommendation evaluation (persuasiveness and risk), the intention to follow the recommendation, and how modality interacts with the style of recommendation explanation (verbal vs. numerical). Findings provide robust evidence that text-based CAs outperform speech-based CAs in terms of processing fluency and consumer responses. They show that numerical explanations increase processing fluency and purchase intention of both recommendation modalities. The results underline the importance of processing fluency for the decision to follow a recommendation and highlight that processing fluency can be actively shaped through design decisions in terms of implementing the right modality and aligning it with the optimal explanation style. For practice, we offer actionable implications on how to make effective sales agents out of CAs.

    The advantages offered by natural language processing (NLP) and machine learning enable students to receive automated feedback on their argumentation skills, independent of educator, time, and location. Although there is a growing amount of literature on formative argumentation feedback, empirical evidence on the effects of adaptive feedback mechanisms and novel NLP approaches to enhance argumentative writing remains scarce. To help fill this gap, the aim of the present study is to investigate whether automated feedback and social comparison nudging enable students to internalize and improve logical argumentation writing abilities in an undergraduate business course. We conducted a mixed-methods study to investigate the impact of argumentative writing on 71 students in a field experiment. Students in treatment group 1 completed their assignment while receiving automated feedback, whereas students in treatment group 2 completed the same assignment while receiving automated feedback with a social comparison nudge that indicated how other students performed on the same assignment. Students in the control group received generalized feedback based on rules of syntax. We found that participants who received automated argumentation feedback with a social comparison nudge wrote more convincing texts with higher-quality argumentation compared to the two benchmark groups (p < 0.05). The measured self-efficacy, perceived ease of use, and qualitative data provide valuable insights that help explain this effect. The results suggest that embedding automated feedback in combination with social comparison nudges enables students to increase their argumentative writing skills by triggering psychological processes. Receiving only automated feedback in the form of in-text argumentative highlighting without any further guidance appears not to significantly influence students’ writing abilities when compared to syntactic feedback.

    Recent advantages from computational linguists can be leveraged to nudge students with adaptive self evaluation based on their argumentation skill level. To investigate how individual argumentation self evaluation will help students write more convincing texts, we designed an intelligent argumentation writing support system called ArgumentFeedback based on nudging theory and evaluated it in a series of three qualitative and quaxntitative studies with a total of 83 students. We found that students who received a self-evaluation nudge wrote more convincing texts with a better quality of formal and perceived argumentation compared to the control group. The measured self-efficacy and the technology acceptance provide promising results for embedding adaptive argumentation writing support tools in combination with digital nudging in traditional learning settings to foster self-regulated learning. Our results indicate that the design of nudging-based learning applications for self-regulated learning combined with computational methods for argumentation self-evaluation has a beneficial use to foster better writing skills of students.

    Novel technologies such as smart personal assistants integrate digital services into everyday life. These services use personal data to offer personalized services. While they are subject to special data protection regulations at the time of development, there are few guidelines describing the transition from legal requirements to implementation. To reduce risks, services depend on external legal assessments. With developers and legal experts often missing either legal or technical knowledge, the challenge lies in bridging this gap. We observe that design patterns support both developers and legal experts, and we present an approach in which design patterns are leveraged to provide twofold value for both developers and legal experts when dealing with novel technologies. We conducted a revelatory case study for smart personal assistants and scaffolded the case interpretation through cognitive fit theory. On the basis of the findings, we develop a theoretical model to explain and predict the twofold value of design patterns to develop and assess lawful technologies.

    Online training to improve problem-solving skills has become increasingly important in management learning. In online environments, learners take a more active role which can lead to stressful situations and decreased motivation. Gamification can be applied to support learner motivation and emotionally boost engagement by using game-like elements in a non-game context. However, using gamification does not necessarily result in supporting positive learning outcomes. Our analysis sheds light on these aspects and evaluates the effects of points and badges on engagement and problem-solving outcomes. We used an experimental approach with a fully randomized pre-test/post-test design of a gamified online management training program with 68 participants. The results demonstrate that points and badges do not directly improve problem-solving skills but are mediated by emotional engagement to positively influence problem-solving skills. Additionally, satisfaction with the gamification learning process positively relates to emotional engagement. Thus, when creating online training programs, it is essential to consider how to engage students and to think about the design of the learning environment. By identifying the limitations of gamification elements, the study’s results can provide educators with information about the design implications of online training programs for management learning.

    This paper employs a longitudinal perspective to examine continued system use (CSU) by individuals in utilitarian, volitional contexts when alternative systems are present . We focus on two key behavioural antecedents of CSU – habit and continuance intention – and theorise how the relationships between CSU and these antecedents evolve over time. In addition, we hypothesise how the interaction effect of habit and intention on CSU evolves temporally. Our theorising differs from extant literature in two important respects: 1) In contrast to the widespread acceptance of the diminishing effect of continuance intention on CSU in the information systems (IS) literature, we hypothesise that in our context, its impact increases with time; and 2) In contrast to the negative moderation effect of habit on the relationship between intention and CSU proposed in the literature, we posit a positive interaction effect. We collect longitudinal survey data on the use of a higher education IS from students in a European university. Our results suggest that the impact of continuance intention on CSU as well as the interaction effect between habit and intention are increasing over time. We further introduce a methodological innovation – the permutation approach to conduct the multi-group analysis with repeated measures – to the literature.

    Innovation is one of the most important antecedents of a company's competitive advantage and long-term survival. Prior research has alluded to teamwork being a primary driver of a firm's innovation capacity. Still, many firms struggle with providing an environment that supports innovation teams in working efficiently together. Thereby, a team's failure can be attributed to several factors, such as inefficient working methods or a lack of internal communication that leads to so-called innovation blockages. There are a number of approaches that are targeted at supporting teams to overcome innovation blockages, but they mainly focus on the collaboration process and rarely consider the needs and potentials of individual team members. In this paper, we argue that Conversational Agents (CAs) can efficiently support teams in overcoming innovation blockages by enhancing collaborative work practices and, specifically, by facilitating the contribution of each individual team member. To that end, we design a CA as a team facilitator that provides nudges to reduce innovation blocking actions according to requirements we systematically derived from scientific literature and practice. Based on a rigorous evaluation, we demonstrate the potential of CAs to reduce the frequency of innovation blockages. The research implications for the development and deployment of CAs as team facilitators are explored.

    get_appRoman Rietsche, Christian Dremel, Samuel Bosch, Léa Steinacker, Miriam Meckel, Jan Marco Leimeister
    Wissenschaftlicher Artikel
    Quantum computing promises to be the next disruptive technology, with numerous possible applications and implications for organizations and markets. Quantum computers exploit principles of quantum mechanics, such as superposition and entanglement, to represent data and perform operations on them. Both of these principles enable quantum computers to solve very specific, complex problems significantly faster than standard computers. Against this backdrop, this fundamental gives a brief overview of the three layers of a quantum computer: hardware, system software, and application layer. Furthermore, we introduce potential application areas of quantum computing and possible research directions for the field of information systems.

    Wissenschaftlicher Artikel
    IT carve-out projects are complex and cost-intensive components of M&A transactions. Existing research sheds little light on the determinants of IT carve-out project complexity and/or its effects on divestor performance. Instead, research has focused on the post-acquisition IT integration project and acquirer performance. This paper presents the first divestor-centric model of IT transactions from the divestor to the acquirer when a Business Unit in a Multi-Business Organization (MBO) is carved out and integrated into another MBO. The model explains how divestor business and IT alignment pre-conditions contribute to increased IT carve-out project complexity. Such complexity increases IT carve-out project time to physical IT separation and creates IT stranded assets, which decrease post-divestment business, IT alignment and divestor performance. The current recommended strategy of adopting transitional service agreements (TSAs) to handle IT carve-out complexity is compared with two new proactive strategies derived from the model. TSA-based strategies restrict the divestor from both decommissioning IT stranded assets and reconfiguring its IT assets to support its new post-divestment business strategy. The two new strategies address IT carve-out complexity without incurring the negative effects from adopting TSAs

    get_appNaim Zierau, Christian Alexander Hildebrand, Anouk Samantha Bergner, Francesc Busquet I Segui, Anuschka Schmitt, Jan Marco Leimeister
    Wissenschaftlicher Artikel
    Voice-based interfaces provide new opportunities for firms to interact with consumers along the customer journey. The current work demonstrates across four studies that voice-based (as opposed to text-based) interfaces promote more flow-like user experiences, resulting in more positively-valenced service experiences, and ultimately more favorable behavioral firm outcomes (i.e., contract renewal, conversion rates, and consumer sentiment). Moreover, we also provide evidence for two important boundary conditions that reduce such flow-like user experiences in voice-based interfaces (i.e., semantic disfluency and the amount of conversational turns). The findings of this research highlight how fundamental theories of human communication can be harnessed to create more experiential service experiences with positive downstream consequences for consumers and firms. These findings have important practical implications for firms that aim at leveraging the potential of voice-based interfaces to improve consumers' service experiences and the theory-driven ''conversational design'' of voice-based interfaces.



    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.