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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

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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Innovation durch Kooperation

IT-Tool zur systematischen Analyse & Bearbeitung von Kooperationsanfragen

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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.

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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

Behavioral experiments are a highly suitable method for testing theories, as they can establish causality while controlling for other confounding factors. However, researchers that aim to conduct and publish such studies face various concerns about the methodological approach. A lack of clarity exists in our field as to which related practices and design decisions are legitimate and accepted. To address this issue, we present a structured literature review that analyzes the designs of 168 behavioral experiments published in the Senior Scholars’ Basket of journals. We find that most experiments are confirmatory, individual-level, between-subjects laboratory experiments. At the same time, we find that some under-represented experiment designs, such as exploratory online experiments, may bear potential for identifying new behaviors and constructing new or proper-to-IS theories. This paper contains an in-depth discussion on the findings and provides decision support to IS researchers that seek to design and publish behavioral experiments.

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Since the emergence of conversational agents, this technology has seen continuous development and research. Today, advanced conversational agents are virtually omnipresent in our everyday lives. Albeit the numerous improvements in their conversational capabilities, breakdowns are still a persistent issue. Such breakdowns can result in a very unpleasant experience for users and impair the future success of conversational agents. This issue has been acknowledged by many researchers recently. However, the research on strategies to overcome conversational breakdowns is still inconclusive, and further research is needed. Therefore, we conduct a systematic literature analysis to derive conceptual conversational breakdown recovery strategies from literature and highlight future research avenues to address potential gaps. Thus, we contribute to theory of human-agent interaction by deriving and assessing recovery strategies and suggesting leads for novel recovery strategies.

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Voice assistants are a novel class of information systems that fundamentally change human–computer interaction. Although these assistants are widespread, the utilization of these information systems is oftentimes only considered on a surface level by individuals. In addition, prior research has focused predominantly on initial use instead of looking deeper into post-adoption and habit formation. In consequence, this paper reviews how the notion of habit has been conceptualized in relation to biographical utilization of voice assistants and presents findings based on a qualitative study approach. From a perspective of post-adoption users, the study suggests that existing habits persist, and new habits hardly ever form in the context of voice assistant utilization. This paper outlines four key factors that help explain voice assistant utilization behavior and furthermore provides practical implications that help to ensure continued voice assistant use in the future.

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The internet of things (IoT) and digital platforms have offered industrial companies new opportunities to compete against digital platform-native companies. To succeed in this competition, industry incumbents must learn to extend their traditional product and service business through platforms. However, extant research has focused primarily on the ability of platform owners to govern mature platforms for innovation but has largely ignored how industry incumbents can build these capabilities internally during the establishment of their platform ecosystems as part of larger transformational journeys. To address this gap, we conduct a multiple case study of three incumbent organizations, drawing on a dynamic capability lens. We identify 11 practical microfoundations of sensing, seizing, and reconfiguring dynamic capabilities that aided three incumbents in establishing their IoT platform ecosystems. Besides the transformational activities, our findings contribute to the literature on platform establishment through three IoT-related shifts that deviate from known digital platform paradigms.

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Design science research (DSR) aims to generate knowledge about innovative solutions to real-world problems. A comparably new stream of research, DSR has matured methodically, and is increasingly catching the interest of researchers, specifically for its potential to contribute to problem solving in society and the economy. Since research methodology curricula develop slowly, however, DSR is still underrepresented in most curricula and courses on research design and methods, and we lack guidance on what and how to teach in a DSR course in a way that enables junior academics to conduct DSR according to high standards. We report on teaching DSR methodology both on PhD and Master levels and for both managerially and technically oriented student populations. Our interactive on-site and distance formats have been refined over 14 years. The PDW presents an effective syllabus, teaching material and experience from conducting over 25 courses with students from over 20 countries across all three geographic AIS regions.

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Driven by economic advantages and the idea of disintermediation of business processes, the decentralization of technical and economic systems has become a highly discussed topic in recent years. Extant research primarily investigated the technical implementations of decentralized information systems (IS) and their use by firms in business networks. It became clear that interorganizational relationships and business functions must be transformed to enable the use of decentralized IS (e.g., those related to how firms can be involved in the design, instantiation, operation, and governance of decentralized IS). However, the impact of transforming business functions of individual firms remains largely unclear, obfuscating a comprehensive understanding of the implication of decentralized IS use on internal organizational structures of firms. In this work, we focus on the identification of challenges for firms in using distributed ledger technology (DLT as a representative for decentralized IS) and their effects on the business functions of firms.

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Facilitated by Artificial Intelligence technology, cognitive automation means to front and back offices what the pervasive automation through physical machinery and robots meant to production plants. Thus, we can automate tasks and processes that were unimaginable to be automated one decade ago. However, organizational adoption of cognitive automation is way below its possibilities, as this novel class of automation technology is perceived to be risky by organizations. This demands structured approaches for assessing the suitability of use cases for cognitive automation. Following the Design Science Research paradigm, we develop a method for assessing cognitive automation use cases. This enables practitioners to make more informed decisions on selecting, specifying, and embedding cognitive automation use cases in their organizations. For researchers, the method serves as a conceptual frame, which they can adapt to guide their empirical research or to use it for developing future decision support to shape the future of work.

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get_appHartmut Schulze, Oliver Bendel, Maria Schubert, Mathias Binswanger, Monika Simmler, Ricarda T.D. Reimer, Alexandra Tinner, Andreas Urech, Jeanne Kreis, Nicole Zigan, Iris Kramer, Silvan Flückiger, Cäsar Künzi, Kathrin Kochs, Olivia Zingg
Monograph
The spectrum of changes that enterprises need to deal with varies from simple continuous adjustments of the product portfolio in response to evolving customer preferences, to complete overhauls of the business and operating model in response to disruptive trends. Many research fields and practitioner disciplines have produced analysis and engineering approaches that can help enterprises to assess and prepare for the impact of changes from this spectrum. However, they have partial scopes and consequently limited integration. By selecting, slightly extending and integrating existing approaches, this paper introduces a ‘simple enough’ integrated solution model and a ‘simple enough’ integrated analysis and engineering method that covers the full spectrum of changes. Our focus is the large, complex enterprise that operates in a specific industry and performs information processing at scale. The research is intended to provide methodical support to practitioners with a responsibility for shaping solutions. Our proposal is the result of initial experiences in practice that instilled the research theme, application in a large-scale industry project, focused collaborative research that joined researchers and academia, and ongoing applications and experiences in practice. The solution model and the analysis and engineering method that we propose support three types of adaptability: a) foundational adaptability produces full new business model and operating model parts, b) transitional adaptability extends the current business model and operating model and adds additional configurability, and c) routine adaptability is managed within the configurability of individual operating model components that need to be designed with sufficient bandwidth. A business configuration center is proposed as a key constituent that manages the differences in underlying technology, and that allows to perform integrated, technology agnostic administration of an industry solution.

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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

    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

    Research Talk Dr. Monika Malinova Mandelburger: Cognitive diagram understanding and task performance in systems analysis and design

    26. April 2021

    Standort: Via Zoom, Müller-Friedberg-Strasse 8, St. Gallen

    Datum: 26.04.2021, 11:00

    Dr. Monika Malinova Mandelburger, WU Wien; “Cognitive diagram understanding and task performance in systems analysis and design”

    Diagrams play an important role in Systems Analysis and Design (SAD). So far, cognitive research on diagram criteria in relation to task performance has been fragmented. The aim of this talk is to (1) discuss the cognitive processing steps involved during understanding and task performance with diagrams, (2) discuss criteria for such diagrams to best support cognitive processing and (3) demonstrate the support effective diagrams provide for performing SAD tasks. First, we present a theoretical cognitive framework of task performance with diagrams called CogniDia. It integrates different cognitive theories from research on diagrams in software engineering and information systems. Second, we present findings from a literature review on criteria for effective cognitive processing of diagrams. Third, we use the theoretical cognitive framework CogniDia to investigate how diagrams support the SAD process effectively.

    Monika Malinova is a postdoctoral researcher with the Institute for Information Business at the Vienna University of Economics and Business (WU Vienna), Austria. She obtained her PhD degree in 2016 from WU Vienna. Her PhD thesis was awarded the Dr. Maria Schaumayer award for an excellent dissertation of 2016.  In 2015 Monika was awarded the Internationalization Program Scholarship from the Dr. Maria Schaumayer Foundation. Since January 2018 Monika is a Hertha Firnberg Fellow funded by the FWF Austrian Science Fund. The Hertha Firnberg is a program offered to highly qualified female scientists who are working towards a career in universities. Monika’s research interests include business process management, process innovation, and conceptual modeling. Her research has been published in MIS Quarterly, BPMJ, ICIS and ECIS, among others.

    2020

    Research Talk Jean-Charles Pillet: What does IT do exactly? An empirical investigation of the effects of ambiguous perceptions of IT artifacts on use behaviors

    15. October 2020

    Standort:

    Dr. Jean-Charles Pillet, Postdoc University of Lausanne, Departement of Information Systems; “What does IT do exactly? An empirical investigation of the effects of ambiguous perceptions of IT artifacts on use behaviors”

    2019

    Research Talk Henderik Proper: Fundamental challenges in systems modelling

    26. September 2019

    Standort: Institut für Wirtschaftsinformtik, St. Gallen

    Prof. Henderik Proper, Luxemburg Institute of Science and Technology (LIST); Fundamental challenges in systems modelling

    Abstract: In the context of information systems, and digital ecosystems at large, many different forms of systems modelling are used. This includes: enterprise (architecture) modelling, business process modelling, ontology modelling and information modelling. The resulting models have come to play an important role during all stages of the life-cycle of digital (eco)systems.

    In our view, the key role of models also fuels the need for a more fundamental reflection on core aspects of modelling itself. In line with this, the goal of this presentation is to explore some of the underlying fundamental challenges of modelling, and in doing so create awareness for, and initiate discussions on, the need for more foundational research into these challenges.

    The discussion of these challenges has been structured in terms of three clusters: the semiotic foundations, the essence of modelling, and the role of normative frames (such as modelling languages).

    Research Talk Sunil Wattal: Competitive Poaching in Search Advertising: A Randomized Field Experiment

    16. July 2019

    Standort:

    Prof. Sunil Wattal, Assistociate Professor at Fox School of Business, Temple University, Philadelphia; “Competitive Poaching in Search Advertising: A Randomized Field Experiment”

    Abstract: Keyword searches with brand names occur very commonly on search engines, which enables firms to infer not only when customers are searching for them, but also when customers are searching for their competitors. In other words, firms can generate traffic from search engine advertising by bidding not only on their own keywords but also on competitors’ keywords. The strategy of bidding on competitors’ keywords, known as competitive poaching, presents unique opportunities for academic research.

    In this research, we examine the factors that influence the effectiveness of competitive poaching, specifically the role of different ad copies and the type of competitor (poached brand) that a brand is “poaching” from. We also examine how competing sponsored ads from the poached brand and other advertisers have an impact on competitive poaching. We run a field experiment for a three-month period with a business school in northeastern United States, by bidding on keywords of competing schools and randomly displaying different types of ad copies. We find that ad copies that feature vertical differentiation are more effective than other ad copies when poaching on keywords of high-quality brands. We also find that when poaching from low-quality brands, ad copies featuring horizontal differentiation perform better than other ad copies. We further show that the presence of the poached brand’s own ad leads to a positive impact when that brand is high-quality, and a negative impact if the poached brand is low-quality. Finally, we also find that the presence of other advertisers using quality signals in their ad copies has a positive impact on clicks. However, use of vertical differentiation ad copies by the focal brand negatively moderates the impact of  the presence of other advertisers using quality signals. The academic and managerial contributions are also discussed.

    Research Talk Shahla Ghobadi: Software Organizations and Business Model Change

    8. July 2019

    Standort:

    Shahla Ghobadi, Associate Professor in Info Management at Leeds University Business School; “Software Organizations and Business Model Change”

    Research Talk Prof. Ali Sunyaev: Digital Health: Design of User-Centered Mobile Applications for the Healthcare Industry and Blockchain in Genomics

    14. June 2019

    Standort:

    Prof. Ali Sunyaev, Karlsruhe Institue of Technology, “Design of User-Centered Mobile Applications for the Healthcare Industry and Blockchain in Genomics”

    2018

    The effects on organizational performance of moderate, stretch, and seemingly impossible goals

    16. October 2018

    Standort:

    Guest speaker: Yetton Phil, Prof. from University of New South Wales, Sidney

    Leveraging technology to manage role conflict, overload and ambiguity in flexible work

    21. June 2018

    Standort:

    Guest speaker: Stein Mari-Klara, Ass. Prof. from Copenhagen Business School