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Öffentlich geförderte Forschungsprojekte

Understanding and Designing User Trust in Smart Personal Assistants

Im vom SNF geförderten Projekt „Understanding and Designing User Trust in Smart Personal Assistants“ untersucht das Team von Prof. Dr. Leimeister welche Auswirkungen intelligente, dialogorientierte Systeme und ihre individuellen Designmerkmale auf Nutzer und Vertrauen haben. Das Projekt zielt darauf ab, Theorien und Methoden aus der Designforschung, der Verhaltenswissenschaft und anderen Disziplinen zusammenzuführen, um den Einsatz und die Effekte von Dialog-KI zu verstehen.

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Verbindung künstlicher und kollektiver Intelligenz zur Entwicklung skalierbarer Software Testing Lösungen

"Software is eating the world" - Aber wie stellt man sicher, dass diese Software auch benutzerfreundlich ist und richtig funktioniert? Ziel des Projekts ist es, selbstlernende Textanalyse-Algorithmen zu entwickeln und zu untersuchen, inwieweit diese künstliche Intelligenz beim Softwaretest in Unternehmen wirtschaftlich vorteilhaft und sinnvoll eingesetzt werden kann.

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Are Two Better than One?

Das Konzept der Hybriden Intelligenz gewinnt zunehmend an Popularität (Horvitz 2014). Dieses Konzept zielt darauf ab, die komplementären Stärken von menschlicher Intelligenz und KI zu nutzen, um sich intelligenter zu verhalten, als es jede der beiden für sich genommen sein könnte (Kamar 2016). Die Integration von menschlichem Input in die künstliche Intelligenz bringt jedoch Herausforderungen mit sich, da insbesondere die menschliche Intelligenz nur dann integriert werden kann, wenn bestimmte organisatorische Randbedingungen adäquat berücksichtigt werden (Kamar 2016). Im Rahmen des vorliegenden Grundlagenforschungsfondsprojekts wird daher untersucht welche Auswirkungen der Einsatz hybrider Intelligenz auf die Performanz sozio-technischer Systeme hat.

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Design Principles for Service Systems in the Internet of Things

The Internet of Things (IoT)–understood as digitizing and connecting the physical world and its objects–uses a multitude of technologies to bring along many technical advancements. Overall, IoT is expected to have tremendous economic impact in the nearer future and to affect all sectors and settings of our business and private lives, e.g. in manufacturing, smart cities, healthcare, etc. Thereby, the value IoT systems can deliver depends on the services they can offer to users and customers. To leverage the potentials of IoT and its technical feasibility and superiority, not only the purely technological connectedness of things, but also the interplay and design of interfaces between IoT and people are crucial, i.e. people, software and hardware need to be orchestrated.To realize this interplay between IoT hardware, IoT software and people, all need to be integrated into existing value networks, e.g. patients and physicians need to be an integral part when designing IoT systems for medication adherence. While current research mainly focuses on empirically analyzing IoT systems and its effects, research concentrating on design knowledge for IoT systems is missing. The project wants to close this research gap and extend the existing body of knowledge by generating design knowledge for this highly promising area. To describe the involved stakeholders and technologies of IoT systems, the concept of service systems is used and a sociotechnical system’s perspective is taken. Service systems are defined as value-co-creation configurations of people, technology and value propositions, e.g. patients and their relatives, physicians and care personnel as the involved “people” who are “co-creating value” by working together to improve the patient’s quality of life while using “technology” such as IoT devices or infrastructures.

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How does crowdsourcing support digital value creation?

Crowdsourcing spiegelt eine innovative Lösung für den kommenden Mangel an IT-Personal wider. Es befähigt Organisationen, die Kreativität, das Wissen und die verteilte Arbeitskraft von Millionen von Menschen anzuzapfen und charakterisiert eine neue Art der Organisation menschlicher Arbeit. Dieses GFF-Projekt entwickelt theoretische Erkenntnisse, die erklären, wann Crowdsourcing eine effektive Art der Wertschöpfung ist und wie Organisationen Crowdsourcing effektiv organisieren und verwalten können.

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ActGo-Gate: Active Retiree and Golden Workers Gate

Das Projekt ActGo-Gate hat die Gestaltung einer integrierten Plattform für IKT-gestützte Dienstleistungen zur Nachbarschafts-Assistenz und -Pflege und zur Koordination von Freiwilligenarbeit mit professionellen Dienstleistern und (Non-Profit-) Organisationen im Fokus.

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Enhancing Student Performance Through Formative Feedback in Large Scale University Lectures (SNF Doc Mobility)

In einer 10. Klasse des Gymnasiums und einer Berufsschulklasse bearbeitete eine Gruppe die Aufgaben mit Hilfe eines Smart Personal Assistants, die andere Gruppe mit “traditionellen” Methoden. Die empirischen Ergebnisse zeigten, dass die Schüler in den Experimentierklassen signifikant mehr Problemlösungskompetenzen erwarben als die Schüler in den Kontrollklassen und sich die Lernprozesse veränderten. Die Ergebnisse liefern erste empirische Belege für den Wert des Einsatzes von Smart Personal Assistants wie z.B. Alexa auf die Fähigkeiten zum Lösen von Problemen.

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Transformation of Work Through Internal Crowdsourcing

Die Digitalisierung verändert Märkte und Organisationen grundlegend. Um in einem schnelllebigen und unsicheren Umfeld bestehen zu können, suchen Organisationen nach Möglichkeiten, flexibler und produktiver zu werden. Um diese Ziele zu erreichen, können Organisationen das Konzept des internen Crowdsourcings nutzen, um ihre Mitarbeiter über digitale Plattformen mittels offener Ausschreibungen für temporäre Arbeitseinsätze neu zu besetzen.

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Improving the Argumentation Skills of Students through Machine Learning

In dem HSG-intern geförderten Projekt untersuchen wir, wie wir Studierende eine individuelle Schreibunterstützung basierend auf Techniken des Maschinellen Lernens und Natural Language Processing bieten können. Ziel der Projektes ist es, Argumentationsfähigkeiten von Studierenden in Massen- und Distanzlehrveranstaltungen zu verbessern und damit zur Unterstützung von Meta-Kognitions-Fähigkeiten beizutragen.

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Evaluating the Effectiveness of Digital Formative Learning Assessments in University Large Scale Lectures

Wie trägt eine digitale formative Lernkontrolle in grossen Vorlesungen zum Lernprozess der Studierenden bei und wie beeinflusst sie die Lernergebnisse der Studierenden?

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Projekte am IWI

SCESC (Swiss Circular Economy of Skills and Competences)

Dieses Projekt fördert eine noch nie dagewesene Lernerfahrung für Weiterbildende, welche mit Hilfe einer Plattform nach dem Modell der Kreislaufwirtschaft ganzheitlich unterstützt werden sollen. Die Ziele dieses Projekts sind unter anderem die Förderung des aktuellen und mittelfristigen Qualifikationsbedarfs, die volle Ausschöpfung des Kompetenzportfolios des*r Weiterbildenden, das mit Hilfe eines kontinuierlichen Abgleichs von individuellem Qualifikationsbedarf und Weiterbildungsmöglichkeiten realisiert wird, sowie die Unterstützung der individuellen Kompetenzentwicklung durch einen digitalen Coach. Das Projekt ist auf dreieinhalb Jahre ausgerichtet mit Beginn im Februar 2022 und Fertigstellung im Sommer 2025.

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FS-21: Innovation durch Kooperation

IT-Tool zur systematischen Analyse & Bearbeitung von Kooperationsanfragen

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St.Gallen Digital Business Innovation Approach

Der Nutzer entscheidet ob ein Produkt, eine Dienstleistung oder ein neues Geschäftsmodell erfolgreich ist. Der St. Galler Digitial Business Innovation Ansatz ist eine human-zentrische Methode, die zum Ziel hat innovative Produkte, Dienstleistung und Geschäftsmodelle zu entwickeln, welche zugleich die Bedürfnisse der Kunden bestmöglich adressieren sowie wirtschaftlichen Wert für das Unternehmen maximieren. Der iterative Prozess gibt Führung, wie vom Nutzerbedürfnis ausgehend über eine erweiterte Marktbetrachtung hin zur Geschäftsmodellentwicklung innovative Lösungen für komplexe Kundenprobleme generiert werden können.

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IoT Studie

Unsere aktuellen Forschungsergebnisse zeigen, dass das IoT für viele Unternehmen in erster Linie kein technisches Thema oder zumindest primär keine technologische Herausforderung darstellt und sein darf. Es dreht sich alles um neue Geschäftsmodelle und Wertpotenziale. Es geht um mehr als reine Automatisierung, es geht um strategische Vorteile, Partnerschaften, und service-orientierten Kundenfokus.

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IS Architecture

This project investigates IS architecture from two distinctive, but interrelated perspectives. While the first part of the project employs a static approach to explain which institutional factors underlie desirable outcomes for IS architecture, the second part opts for a dynamic approach to explain how IS architecture evolves over time. This project combines both static and dynamic explanations to triangulate the generated theories on IS architecture.

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Architectural Thinking

Architectural thinking aims at supporting non-architects and people outside the IT function to adopt holistic, long-term considerations in their daily decisions. To establish architectural thinking we build small interventions such as labels for applications, domains or projects to increase the awareness of employees for architectural goals and provide opportunities to contribute to the goal achievement.

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Nudging for Data Quality

Many organizations struggle with creating and maintaining data quality in their everyday business. Beyond formal means of control, such as data governance frameworks comprising rules, regulations or regular data quality reviews, in this project we explore lightweight interventions that nudge people in the organization to spend a little more effort here and there, which overall measurable increases the understanding for data quality and data quality itself.

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FRS (Feedback Recommender System)

Das Ziel des Projekts ist die Durchführung eines Experiments, das messen soll, wie Menschen in agilen Arbeitssituationen Feedback verarbeiten. Im Weiteren wird ein d IT-Tool entwickelt,  welches individualisierte Verbesserungsvorschläge beim Schreiben von Feedback gibt.

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Loom

LOOM (Learning Objective and Outcome Manager) ist ein IT-Tool welches durch den Einsatz von modernsten Text-Mining Algorithmen und Computer basiertes Assessment, Studierenden semesterbegleitendes Feedback ermöglicht. Dies unterstützt die nachhaltige Entwicklung von Skills und meta-kognitiven Fähigkeiten wie selbst-reguliertes lernen.

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ArgueLearn

Unser IT-Tool "ArgueLearn" bietet eine individuelle Schreibunterstützung basierend auf Techniken des Maschinellen Lernens und Natural Language Processing mit dem Ziel, die Argumentationsfähigkeiten von Studierenden in Massen- und Distanzlehrveranstaltungen zu verbessern.

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Design Principles for Service Systems in the Internet of Things

The Internet of Things (IoT)–understood as digitizing and connecting the physical world and its objects–uses a multitude of technologies to bring along many technical advancements. Overall, IoT is expected to have tremendous economic impact in the nearer future and to affect all sectors and settings of our business and private lives, e.g. in manufacturing, smart cities, healthcare, etc. Thereby, the value IoT systems can deliver depends on the services they can offer to users and customers. To leverage the potentials of IoT and its technical feasibility and superiority, not only the purely technological connectedness of things, but also the interplay and design of interfaces between IoT and people are crucial, i.e. people, software and hardware need to be orchestrated.To realize this interplay between IoT hardware, IoT software and people, all need to be integrated into existing value networks, e.g. patients and physicians need to be an integral part when designing IoT systems for medication adherence. While current research mainly focuses on empirically analyzing IoT systems and its effects, research concentrating on design knowledge for IoT systems is missing. The project wants to close this research gap and extend the existing body of knowledge by generating design knowledge for this highly promising area. To describe the involved stakeholders and technologies of IoT systems, the concept of service systems is used and a sociotechnical system’s perspective is taken. Service systems are defined as value-co-creation configurations of people, technology and value propositions, e.g. patients and their relatives, physicians and care personnel as the involved “people” who are “co-creating value” by working together to improve the patient’s quality of life while using “technology” such as IoT devices or infrastructures.

Kontakt
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ActGo-Gate: Active Retiree and Golden Workers Gate

Das Projekt ActGo-Gate hat die Gestaltung einer integrierten Plattform für IKT-gestützte Dienstleistungen zur Nachbarschafts-Assistenz und -Pflege und zur Koordination von Freiwilligenarbeit mit professionellen Dienstleistern und (Non-Profit-) Organisationen im Fokus.

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aktuellste Publikationen

The COVID-19 pandemic has brought about major changes in digitization in many areas of life and professions. New areas were digitized almost overnight, the school system in Germany was no exception leading to a demand for videoconferencing tools and communication platforms. These technologies have many different functionalities that need to be discovered, explored, and exploited by the user. Given the disruptive events that the COVID pandemic brought to us, this paper aims to shed light on how the dynamics of discovery, exploration, and exploitation unfolds. We use a functional affordance theory perspective to analyze and understand how user learn to use new technologies. To do this, we conducted an exploratory case-study-based research design including interviews with teachers from various schools to analyze how they appropriate new technologies to develop an explanatory theoretical model.

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The goals of design science research (DSR) projects are to generate novel and useful artifacts and to produce rigorous and generalizable design knowledge. Often, DSR projects are conducted in collaborative, interdisciplinary project teams. Different disciplinary approaches to codifying design knowledge result in challenging project interactions. To study this situation, we analyze design knowledge codification in interdisciplinary teams over time. We gain insights from a survey of recent DSR papers that have been published in the AIS Senior Scholars’ Basket. We then present a detailed case study of a longitudinal project that brought to light issues of sharing design knowledge across disciplinary borders. Drawing from the survey and case study, we provide actionable guidance on how to effectively codify and share design knowledge to support researchers and practitioners to build useful artifacts and to make interdisciplinary design knowledge contributions reusable and applicable.

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Although the idea of low code development is not new, the market for these oftentimes platform-based development approaches is exponentially growing. Especially factors such as increasing affinity for technology development across all user groups, consumerization of development, and advancing digitalization are opening a new target group for the low code movement. The broad application possibilities of low code, as well as the benefits, are therefore getting more important for businesses. Especially for small and medium-sized enterprises (SMEs), low code constitutes a promising avenue to survive and succeed in the rapidly changing world. However, a clear understanding regarding the application of this paradigm of software development in SMEs is still missing. To provide a coherent understanding of the phenomenon low code in SMEs, we review extant literature and conduct interviews, identifying potential application domains and conceptualizing the benefits and challenges of low code from a holistic perspective.

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With this paper, we examine the use of data analytics for crisis management in automotive procurement departments. Possible business values of data analytics were part of numerous research approaches. Nevertheless, automotive manufacturers are repeatedly confronted with supply chain disruptions. Procurement departments have a central role within supply chains and are predominantly responsible for stable supply processes. Taking into account the potential of data analytics, such crises should be avoided or at least mitigated. Thus, there is the question, why data analytics cannot currently help automotive procurement departments by facing such crises. We therefore evaluate problems and obstacles by implementing and using data analytics in automotive procurement departments. Therefore, we talk to experienced procurement experts for evaluating practical insights. With our findings we provide practical insights and applicable recommendations for action with the goal of helping procurement leaders to better leverage data analytics for meeting current and future crises.

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Pandemics like COVID-19 highlight the needs and pitfalls of inclusive and equitable education in a digital society. IT-based instructional designs are needed to increase learners’ expertise, and to develop higher-order thinking skills. Instructional designs for collaborative learning (CL) seem to be a promising solution. However, they are mostly suitable for face-to-face and not for distance teaching. The core problem that impedes their reusability and scalability is a ‘collaboration problem’ for which collaboration engineering (CE) provides guidance. Therefore, we deploy a design science research study and contribute to CL and CE literature. We develop requirements and provide the design of an IT-based collaborative work practice fostering CL. We provide empirical evidence with an online experiment in a large-scale lecture with undergraduate business information students. This reveals that groups of learners who followed our CL experience achieve higher levels of expertise than those who followed a traditional ad hoc CL experience.

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Collaborative work practices (CWPs) package facilitation expertise and have the potential to increase team productivity up to 90%. Collaboration engineers develop CWPs and deploy them to practitioners that execute them. These CWPs, however, are typically customized to conditions of a specific use case. This creates the challenge that changing use case conditions or even small variations across contexts, hinder well-performing CWPs of being applied more often to create a long-term value. Practitioners fail to adapt existing CWPs due to missing collaboration expertise and adaptation guidelines. To address this challenge in collaboration engineering literature, we introduce a) the Subject Matter Expert role; b) the ‘CWP Adaptation Approach’ that formalizes the transfer of CWPs to different contexts with parameterized Templates and Guidebooks. To show a first proof-of-concept, we further inductively generalize from an exemplarily use case with a well-performing CWP in the educational domain.

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Some classes of person-oriented services such as healthcare services require individualization to be effective. Individualizing services and corresponding patient pathways are costly. To provide such services in an individualized, but also efficient manner, service modularization is known as a solution. Until now, modularization parameters that take healthcare specificities into account are missing. This paper closes this gap. Following a design science research approach, we iteratively build and evaluate a set of healthcare-specific modularization parameters. For requirements elicitation, refinement of the modularization parameters and their evaluation, we conduct interviews with domain experts from patient pathways in oncology care as well as with service design and business development experts. As main theoretical contribution, this paper provides design knowledge for the modularization of healthcare services. For practice, the set of parameters assists healthcare providers in the efficient provision of individualized, patient-centric solutions and patient pathways.

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Onboarding has always emphasized personal contact with new employees. Excellent onboarding can extend employee retention and improve loyalty. Even in a physical setting, the onboarding process is demanding for both the newcomer and the onboarding organization. Remote work, in contrast, has made this process even more challenging by forcing a rapid shift from offline to online onboarding practices. Organizations are adopting new technologies like artificial intelligence (AI) to support work processes, such as hiring processes or innovation facilitation, which could shape a new era of work practices. However, it has not been studied how AI applications can or should support onboarding. Therefore, our research conducts a literature review on current onboarding practices and uses expert interviews to evaluate AI's potential and pitfalls for each action. We contribute to the literature by presenting a holistic picture of onboarding practices and assessing potential application areas of AI in the onboarding process.

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Organizations claim to host what is called a metaverse – an extended version of our real world. First rudimental realizations of such metaverses can be found throughout the internet, e.g., Epic Game’s Fortnite. At the same time, research and practice struggle to specify what a metaverse truly is and how we can characterize it. With our work, we analyze the proximity of the realization of a holistic metaverse platform and present the results of a qualitative interview study (n=30). The goal of our work is to use the expertise of practitioners to discuss different examples that claim to represent a metaverse, e.g., Second Life and Decentraland. To achieve this goal, we develop a typology we call the Metagon and use it to evaluate existing metaverse platforms. We contribute to theory by clarifying the meaning of metaverse platforms. Practitioners are guided by a demonstration of metaverse characteristics.

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Human-agent interaction is increasingly influencing our personal and work lives through the proliferation of conversational agents in various domains. As such, these agents combine intuitive natural language interactions by also delivering personalization through artificial intelligence capabilities. However, research on CAs as well as practical failures indicate that CA interaction oftentimes fails miserably. To reduce these failures, this paper introduces the concept of building common ground for more successful human-agent interactions. Based on a systematic review our analysis reveals five mechanisms for achieving common ground: (1) Embodiment, (2) Social Features, (3) Joint Action, (4) Knowledge Base, and (5) Mental Model of Conversational Agents. On this basis, we offer insights into grounding mechanisms and highlight the potentials when considering common ground in different human-agent interaction processes. Consequently, we secure further understanding and deeper insights of possible mechanisms of common ground in human-agent interaction in the future.

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Forschungsrat

Der Forschungsrat ist verantwortlich für die generelle Ausrichtung der Forschungsvorhaben am IWI. Diese Verantwortung erstreckt sich auf die Forschungsthemen, die Finanzierung, die Festsetzung der Qualität der zu liefernden Ergebnisse und die teilnehmenden Partnerunternehmen.

Die Mitglieder des Forschungsrates sind erfahrene Führungskräfte und tragen wesentlich zum Erfolg des Forschungsprogramms bei.Für Anfragen an den Forschungsrat und um weitere Informationen zu erhalten, senden Sie bitte ein E-mail an Dr. Philipp Ebel:

Helmut DraxlerBurckhardt Compression AG
Thomas EckertABB
Johan EngvallGeberit
Markus FuhrerPostfinance
Hans-Peter KellerHelsana AG
Andreas MaierAXA-Winterthur
Peter MeyerhansDrees & Sommer
Dr. Anne-Thérèse MorelSwisscom AG
Dr. Robert SchleichRaiffeisen Schweiz
Dr. Jürgen SturmZF Friedrichshafen AG
Urs VetschZurich Insurance Group AG
Thomas VetterGeberit
Stephan WickMigros Bank

Forschungsaufenthalte am Institut für Wirtschaftsinformatik

Der persönliche und direkte Austausch über neue Ideen und erste Ergebnisse sind entscheidend für qualitativ hochwertige Forschung. Aus diesem Grund lädt das Institut für Wirtschaftsinformatik der Universität St.Gallen Forscher aus aller Welt für einen Forschungsaufenthalt ein, um eigene Projekte voranzutreiben oder neue Projekte gemeinsam mit uns anzustossen. Sowohl Kurzaufenthalte als auch längere Aufenthalte von bis zu acht Wochen sind möglich.

Gastforschern stellen wir ein Büro mit der üblichen IT Infrastruktur zur Verfügung. Ausserdem erhalten unsere Gäste die Möglichkeit ihre Forschung in unserer Vortragsreihe – St.Galler Wirtschaftsinformatik-Forschungskolloquium – zu präsentieren. Falls Sie weitere Informationen benötigen oder sich für einen Forschungsaufenthalt am Institut für Wirtschaftsinformatik der Universität St. Gallen interessieren, kontaktieren Sie bitte Professor Dr. Jan Marco Leimeister. Ihre Bewerbungsunterlagen sollten neben einem Lebenslauf auch eine Übersicht über Ihre Forschungs- und Lehreaktivitäten sowie die von Ihnen beabsichtigten Zeiträume für Ihren Aufenthalt beinhalten.








    St. Galler Wirtschaftsinformatik Forschungskolloquium

    2023

    Research Talk Dr. Dominik Siemon, Ass. Prof. at School of Engineering Science, LUT University, Finland on “How the Mere Exposure to Artificial Intelligence-based Service Agents Prompts Website Users’ Personal Information Disclosure”

    27. April 2023

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-6120) oder per Zoom

    Datum: 27.04.2023, 11:15 bis 12:30

    Abstract: Firms have increasingly adopted service agents on their websites to provide services to website users. Despite the increasing penetration of different types of service agents, little knowledge exists on how website users respond to the mere exposure to service agents and, most important, on how they respond to artificial intelligence (AI)-based as compared to human-based service agents. Drawing on cue utilization theory, this study shows for the first time that the mere exposure to AI-based service agents (as compared to an exposure to human-based service agents) can prompt website users to disclose more personal information to the website provider. This is because website users employ information about available service agents as a cue to make inferences about the website provider. In specific, the perceived intrusiveness of the website provider is lower when website users have been exposed to an AI-based versus a human-based service agent. The additional findings about the boundary conditions of these effects can be used to derive practical implications.

    Short CV: Dominik Siemon is an Associate Professor in the Department of Software Engineering in the School of Engineering Science at LUT University, Finland. In addition, he holds the title of Docent for Intelligent Information Systems at LUT University. He received his PhD (Dr. rer. pol.) in Business Information Systems from the Braunschweig University of Technology in Germany. His research interests include human-AI collaboration and interaction, conversational agents, intelligent systems, collaboration technology, creativity, and design science. His research has been presented at international conferences such as the International Conference on Information Systems and has been published in journals at the intersection of information systems and human-computer interaction, such as Information Systems Frontiers, Behaviour & Information Technology, Human-Computer Interaction and the Communications of the Association for Information Systems.

    https://www.lut.fi/en/profiles/dominik-siemon

    Research Talk Dr. Maximilian Schreieck, Ass. Prof. for Information Systems, University of Innsbruck, on “Digital Platform Strategies: The Role of The Digital Upper Echelons”

    11. January 2023

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-6120) oder per Zoom

    Datum: 11.01.2023, 11:00 bis 12:15

    Abstract: We examine how a company’s digital upper echelons—the members of the top management team with IT-related responsibilities as their primary role—impact the success of digital platform strategies. Focusing on the S&P1500 companies, we show that an initial negative effect of digital platform strategies on a company’s growth opportunities becomes positive after a lag of six years. We find that this positive effect only holds for companies that implement the digital platform organically (“build strategy”) and not for companies that acquire a digital platform (“buy strategy”). Second, we examine the moderating effect of the maturity of digital upper echelon positions. We analyze whether emergent digital upper echelon positions, such as chief digital officers (CDOs) or established digital upper echelon positions, such as chief information and chief technology officers (CIOs, CTOs), have a greater influence on a digital platform strategy’s success. While we do not find a clear positive moderating effect for either position, a post-hoc test reveals that the presence of a CDO has a positive moderating effect for the build strategy but a partially negative effect for the buy strategy. Our findings contribute to understanding why some companies are successful with digital platform strategies while others are not.

    Short CV: Maximilian Schreieck is an Assistant Professor for Information Systems, in particular Digital Services and Platforms, at the Department of Information Systems, Production and Logistics Management at the University of Innsbruck. He holds a Ph.D. in Information Systems from the Technical University of Munich (TUM). From 2020 to 2021 he was a postdoctoral researcher at the Chair for Information Systems at TUM and from 2021 to 2022 he was visiting scholar and DFG Walter Benjamin Fellow at The Wharton School, University of Pennsylvania. Maximilian’s research interests include digital platform ecosystems, platform governance, digital transformation of established companies, and digital platforms for social causes. His research has been published in the Journal of the AISEuropean Journal of Information SystemsJournal of Information TechnologyBusiness & Information Systems EngineeringElectronic MarketsIEEE Transactions on Engineering ManagementInformation Technology for Development, and conference proceedings such as ICISAOMECISHICSSAMCIS, and PACIS.

    https://www.uibk.ac.at/wipl/team/team/schreieck.html.de

    2022

    Research Talk Dr. Andreas Hein, Postdoc, Krcmar Lab, Technical University of Munich (TUM): “We Reap What We Sow: How CIOs Change the Outcome of Organizational Crisis”

    1. December 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 01.12.2022, 14:15 bis 15:30

    Abstract: Pandemics, global warming, and war, whether physical or digital, are grand challenges of our age. Based on a more and more globalized and interconnected world, those challenges’ severity and frequency are increasing (see Global Risk Report by the World Economic Forum). Therefore, managing crises and making organizations resilient become vital capabilities of the top management team (TMT). As the TMT approaches those challenges, the Chief Information Officer (CIO) often emerges as the actor who holds the keys to making the firm more resilient. For example, CIOs triggered the virtualization of workspaces and the provision of hardware such as smartphones and laptops, which later became the essential factors helping the Chief Executive Officer transition the operational mode from physical to digital during COVID-19. However, despite the rising importance, we know little about how TMTs, in general, and the CIO, in particular, make firms more resilient in responding to the grand challenges of our age. Our study builds on the theory of crisis management and organizational resilience to explain how CIOs built proactive resilience before the crisis and utilized this during crisis management as reactive resilience to steer the outcome trajectory of the crisis. The process model illustrates how capacities, authority, and the mitigation of fragilities before a crisis impact the cognitive and behavioral response, which determines if firms suffer adverse effects, can retain the status quo, or even thrive in the advent of an emerging crisis.

    Short CV: Andreas Hein is a postdoctoral researcher and head of the research group on digital platforms & e-government at the Krcmar Lab, Technical University of Munich (TUM), Germany. He holds a Ph.D. from TUM in Information Systems and has three years of experience as a Senior Strategy Consultant at IBM. His work has appeared in the Journal of Strategic Information Systems, European Journal of Information Systems, Electronic Markets, Business & Information Systems Engineering, and Information Systems Frontiers, as well as refereed conference proceedings such as the International Conference on Information Systems.

    Link: https://scholar.google.com/citations?user=Nx1wVKgAAAAJ&hl=en

    Research Talk Prof. Dr. Kai Spohrer, Associate Professor of Information Systems, Frankfurt School of Finance & Management: “And No One Gets the Short End of the Stick: A Blockchain-Based Approach to Solving the Two-Sided Opportunism Problem in Inter-Organizational Information Sharing”

    14. November 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 14.11.2022, 14:15 bis 15:30

    Prof. Dr. Kai Spohrer, Associate Professor of Information Systems, Frankfurt School of Finance & Management: “And No One Gets the Short End of the Stick: A Blockchain-Based Approach to Solving the Two-Sided Opportunism Problem in Inter-Organizational Information Sharing”

    The threat of opportunistic behavior is an enduring problem for inter-organizational information sharing. The two sides of opportunism in inter-organizational information sharing – information poaching by the information recipient and information manipulation by the information provider – cause high transaction costs and sometimes preclude information sharing relationships altogether. Existing organizational and technological countermeasures against the two-sided threat of opportunism can either not reliably preclude information poaching and manipulation or address only one of them at a time. We develop four design principles for a blockchain-based system that permits information sharing based on sensitive data in inter-organizational business transactions without revealing the actual data. Thus, our solution simultaneously precludes both information poaching and information manipulation, enabling a novel class of information sharing. We instantiate our design principles in a prototype within a multi-firm research consortium for wear-based leasing contracts for machine tools. An evaluation shows that organizations are willing to engage in more inter-organizational information sharing and draw on more sensitive data when using the proposed prototype compared to traditional inter-organizational information systems. Our study contributes to research on opportunism in inter-organizational information sharing and confidentiality in blockchain networks.

    Kai Spohrer is Associate Professor of Information Systems with the Frankfurt School of Finance & Management. In his research, he applies qualitative and quantitative methods as well as design science to understand and shape the development and use of information systems. He is particularly interested in questions related to collaboration and coordination in information systems development, IT healthcare, and blockchain systems.

    Digital transformations force organizations to develop and maintain innovative digital products and services. Thus, effectively managing these activities and supporting them with appropriate technology at various levels is crucial for organizational success. To support these goals, Kai Spohrer conducts research at several levels, ranging from psychological explanations of biased behavior in AI system users over team-level analyses of software development methods to investigations into the interactions of software architecture and organizational structure in development organizations. His research has appeared and is forthcoming in Information Systems Research, Journal of Management Information Systems, IEEE Transactions of Software Engineering, and others.

    Prior to joining Frankfurt School, Kai Spohrer was Assistant Professor at the Business School of the University of Mannheim where he completed his habilitation on digital innovation in healthcare and the software industry, focusing particularly on agile development, design, and use of information systems. He received his Ph.D. from the University of Mannheim for his dissertation on collaborative quality assurance and team cognition in software development teams. Over the years, he has spent time as a student and visiting researcher at institutions such as the University of Arkansas, Washington State University, and Universidad Politécnica de Madrid. He is a founding member and the director of content and media of the AIS special interest group “Advances in Sourcing”.

    Kai Spohrer | LinkedIn

    Prof. Dr. Kai Spohrer | Frankfurt School (frankfurt-school.de)

    Research Talk Melanie Schwede, Research Assistant, University of Göttingen: “The Role of Recommendation Modality for Enhancing Sales in Conversational Commerce: A Processing Fluency Perspective”

    26. October 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 26.10.2022, 13:00 bis 14:00

    Abstract: Although conversational agents (CAs) are increasingly used for providing purchase recommendations, important design questions remain. Our research project seeks to examine whether processing fluency is a novel mechanism to explain how recommendation modality (speech vs. text) shapes recommendation evaluations, the intention to follow the recommendation, and how modality interacts with the style of recommendation presentation. Our main goal is to identify under which conditions a specific modality (speech-based or text-based CAs) is superior in terms of processing fluency and consumer responses. Our first research findings provide robust evidence that text-based CAs outperform speech-based CAs in terms of processing fluency and consumer responses. Moreover, the findings 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 recommendation presentation. For example, numerical explanations increase processing fluency and purchase intention of both recommendation modalities. For practice, we offer actionable implications on how to make effective sales agents out of CAs.

    Melanie Schwede () is a Ph.D. student and research associate at the chair of Marketing and Innovation Management at the University of Goettingen, Germany. Her research focuses on artificial intelligence-based assistants (e.g., voice assistants, chatbots and service robots) in the service frontline.

    https://www.uni-goettingen.de/de/melanie+schwede%2c+m.sc./631796.html

    Research Talk Prof. Dr. Simon Trang, Assistant Professor, University of Göttingen: “The technology-behavior compensation effect: How beneficial and actively used technologies can counteract their societal goals”

    18. October 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 18.10.2022, 14:00 bis 15:15

    Prof. Dr. Simon Trang, Assistant Professor, University of Göttingen: “The technology-behavior compensation effect: How beneficial and actively used technologies can counteract their societal goals”

    In search of solutions to societal health challenges, policymakers are increasingly turning to innovative apps as complements to existing non-technological interventions. Such apps developed for supporting users’ health are designed with the premise of being seen as beneficial and actively used. However, based on risk homeostasis theory, we theorize that these two classical design goals for effective information systems (IS) unintentionally foster risk compensation and lead to the neglection of other non-technical preventive health behaviors. Evidence from a multi-wave study regarding COVID-19 contact tracing apps confirms the existence of what we call the technology-risk compensation effect: those individuals who perceived the app to be highly beneficial or actively use it in return reduce other preventive health behaviors such as social distancing after app adoption. This technology-risk compensation effect implicates a hitherto overlooked tension between two established IS design goals and the successful exploitation of technology to support users’ health. We expand the established perspectives on dark sides of IS use by revealing a previously neglected type of unintended consequences and draw attention to the implications of this finding for research well beyond the health context.

    Prof. Dr. Simon Trang holds the Chair for Information Security and Compliance (‘Juniorprofessur’) at the University of Göttingen. The focus of his work concerns the analysis and effective design of information security measures in companies and for a resilient society. He approaches the topic from a socio-technical perspective, in which information systems and information security are not understood as ends in themselves, but always in the interplay of technology, processes and actors. This includes the study of user behavior and psychology, technical, legal as well as strategic aspects. Prof. Trang and his team have received various grants from renowned public institutions such as the BMBF, the BMWK, the BMG and the Volkswagen Foundation. His work has been published in journals such as the Journal of the Association for Information Systems, the European Journal of Information Systems, and Information Systems Frontiers, among others.

    Simon Trang | LinkedIn

    Prof. Dr. Simon Trang – Georg-August-Universität Göttingen (uni-goettingen.de)

    Research Talk Prof. Dr. Jana-Rebecca Rehse, Universität Mannheim: „User Behavior Mining: Applying Process Mining to Analyze Human Behavior Change“

    19. September 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 19.09.2022, 11:00 bis 12:30

    Prof. Dr. Jana-Rebecca Rehse, Universität Mannheim: „User Behavior Mining: Applying Process Mining to Analyze Human Behavior Change“

    User behavior mining (UBM) refers to the application of process mining and machine learning techniques to user interaction logs, i.e., high-resolution event logs that record low-level, manual activities performed by a user during the execution of a task in a software system. By analyzing these event logs, UBM can generate detailed insights into how users of a software interact with its user interface. Those insights can be used for technical purposes, such as the mitigation of software usability issues or the automation of process execution. In addition, UBM is a valuable tool for researchers who want to understand or predict a specific aspects of user behavior. It provides a data-driven, non-intrusive method to obtain a holistic view on the behavior of software users over a longer period of time. Researchers can hence use UBM to gather and analyze empirical data, which can be used to test, support, refute, or develop behavioral theories.

    In this talk, I present UBM as an analytical method for examining user behavior in software systems. In the first part, I conceptualize it by means of the four-part UBM framework, which elaborates (1) how UBM data can be captured, (2) which technologies can be applied to analyze it, (3) which objectives UBM can accomplish, and (4) how theories can guide the analytical process. In the second part, I show how we applied UBM to analyze behavior changes in a mobile health (mHealth) scenario. Based on social cognitive theory (SCT), we apply process discovery and sequential rule mining to investigate how people interact with mHealth apps and how these interactions affect their physical activity. We find that by applying UBM, we can empirically substantiate implicit assumptions of SCT and derive recommendations for the optimal design of mHealth apps.

    Dr. Jana-Rebecca Rehse is Junior Professor for Management Analytics at the University of Mannheim. Her research focusses on data-driven business process management by means of process mining and machine learning, particularly on methods for process analysis, process assistance and process automation for (business) value. Her research results, funded by the DFG and the BMBF, have been published in more than 40 conference and journal papers so far. From 2015 to 2020, Dr. Rehse was a researcher and project lead at the Institute for Information Systems (IWI) at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken. In 2019, she obtained her PhD from Saarland university with a thesis titled “Leveraging Artificial Intelligence for Business Process Management”. Dr. Rehse holds a bachelor’s and master’s degree in business informatics from Saarland University. In 2014, she spent six months as a visiting scholar at Stevens Institute of Technology in Hoboken, NJ. USA.

    Jana Rehse | LinkedIn

    Rehse | Universität Mannheim (uni-mannheim.de)

    Research Talk Konstantin Bauman, Ph.D., Ass. Prof. Fox School of Business@Temple University: “Intelligence Augmentation for Higher-Quality Peer Feedback: Supporting Students by Recommending Features of Written Feedback that Should be Improved”

    1. June 2022

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-7024) oder per Zoom

    Datum: 01.06.2022, 14:00 bis 15:30

    Konstantin Bauman, Ph.D., Ass. Prof. Fox School of Business@Temple University: “Intelligence Augmentation for Higher-Quality Peer Feedback: Supporting Students by Recommending Features of Written Feedback that Should be Improved”

    The value of peer feedback is growing for large-scale courses in universities, as well as for MOOCs, where it is used as a method to provide students with formative feedback and support them in their learning journey. However, students usually have little to no experience in providing feedback and especially in formulating ideas in a way that would help feedback recipients understand all the raised critical issues and improve their submission accordingly.  In his research talk, Konstantin Bauman will present his work in collaboration with Roman Rietsche, Matthias Söllner and Jan Marco Leimeister from the Institute of Information Management (HSG) and the University of Kassel. In their work they developed an intelligence augmentation approach which was implemented and proposed to support students in the process of creating peer feedback with personalized recommendations of the most critical text features that need improvement. They designed a novel framework that provides such recommendations aiming to maximize the feedback quality as perceived by the feedback recipient. Furthermore, they also designed a novel Feature Utility Saturation Model (FUSM) that works as part of the framework. To test how the proposed method works in practice, they conduct a field experiment with 490 students taking three different courses at a public university in Europe. The results show that the personalized recommendation approach works well as it outperforms baselines and helps students create longer feedback and of significantly higher quality, as evaluated by feedback recipients.

    Dr. Konstantin Bauman joined the Fox School on a tenure track appointment within the Department of Management Information Systems on January 1, 2018. He arrives at Fox from the Stern School of Business at New York University, where he served as a postdoctoral research fellow. Bauman’s research interests lie in the areas of technical information systems, with focus on the fields of quantitative modeling and data science. In particular, he works on developing novel machine learning methods for predicting customer preferences, and designing novel approaches to recommender systems that provide personalized advice to customers. Before joining NYU, Bauman worked as the head of a machine-learning group within the research department of Yandex, where he dealt with large-scale machine learning and data science problems on a daily basis. He also served as a software engineer at Yandex and the Russian Academy of Foreign Trade.

    Bauman received his PhD in Mathematics (Geometry and Topology) from Russia’s Moscow State University, where he also earned a Master of Science degree in Mathematics. He also obtained a Master of Science degree in Machine Learning from a joint program between the Moscow Institute of Physics and Technology and the Yandex School of Data Analysis in Russia.

    https://www.linkedin.com/in/konstantinbauman/

    https://community.mis.temple.edu/kbauman/

    2021

    Research Talk Dominik Gutt: The Rise of Robo-Reviews – The Effects of Chatbot-Mediated Review Elicitation on Online Reviews

    16. September 2021

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-5120) oder per Zoom

    Datum: 16.09.2021, 10:00 bis 12:00

    Dominik Gutt,  Assistant Professor at Rotterdam School of Management: The Rise of Robo-Reviews – The Effects of Chatbot-Mediated Review Elicitation on Online Reviews

    Chatbots have been introduced as a new way to receive product reviews. However, little is known how the chatbot-mediated solicitation influences review characteristics such as the valence or the helpfulness. We conduct four studies to narrow this literature gap. Our results show that (1) chatbot-mediated review elicitation leads to a positivity bias in ratings, particularly strong for low-quality products; (2) chatbot-mediated reviews negatively impact a range of review dimensions (e.g., helpfulness) mainly due to decreased review length, (3) the positivity bias varies depending on the level of anthropomorphism in the chatbot and the nature of the survey deployer (seller vs. platform), and can be explained by audience tuning due to social presence. Our research is among the first to uncover a link between chatbot use, review valence, and other valuable review

    Research Talk Prof. Dr. Ali Sunyaev: Design Trade-Offs, Viability, and Management of Applications on Distributed Ledger Technology

    6. September 2021

    Standort: IWI-HSG, Müller-Friedbergstrasse 8, 9000 St.Gallen (Raum 52-5120) oder per Zoom

    Datum: 06.09.2021, 10:00 bis 11:30

    Prof. Dr. Ali Sunyaev, Karlsruher Instituts für Technologie (KIT): Design Trade-Offs, Viability, and Management of Applications on Distributed Ledger Technology

    While design decisions determine the quality and viability of applications in general, in Distributed Ledger Technology (DLT), the decision for a suitable DLT design (e.g., Ethereum, IOTA) is of particular relevance because the retroactive change of the underlying DLT design is currently very hard and often even impossible. Extant research has revealed several trade-offs between DLT characteristics (e.g., availability vs. consistency). Such trade-offs inhibit a one-size-fits-all DLT design that suites the requirements of applications on DLT. For an appropriate assessment of the suitability of DLT designs for a particular application on DLT, researchers and developers require a systematic and holistic overview of the functioning of different DLT designs, including their configuration of DLT characteristics as well as dependencies and resulting trade-offs between DLT characteristics. In this talk I will first summarize and reflect the design trade-offs, viability, and management of applications on DLT. Second, I will present the configuration and management tool for applications on DLT we currently work on.

    CV: https://www.aifb.kit.edu/web/Ali_Sunyaev