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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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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.

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

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.

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Voice assistants’ (VAs) increasingly nuanced and natural communication opens up new opportunities for the experience of users, providing task assistance and automation possibilities, and also offer an easy interface to digital services and ecosystems. However, VAs face various problems, such as low adoption and satisfaction rates as well as other negative reactions from users. Companies, therefore, need to consider how individuals utilize VAs and what contributes to user satisfaction. Key for the design of VAs are their unique affordances and their agentic nature that distinguish these IT artifacts from non-agentic IS. A configurative and dynamic approach enables to shed light on the complex causalities underlying user outcomes with these novel systems. Consequently, we examine in this study how individuals actualize the affordances of VAs during the initial adoption stage. For this purpose, we draw on a diary study research design that examines affordance actualization processes with new VA users. We examine with a configurational approach, how the actualization of VA affordances contributes to the outcomes of VAs, i.e., in our case user satisfaction. The results of our diary study show distinct patterns of functional affordance configurations. In addition, we show that affordances unfold and evolve over time. The derived implications provide a configurative theoretical understanding for the role of VAs affordances for user satisfaction that provides practitioners useful guidance to actualize the potential of VAs.

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Agile work organization has experienced a significant increase in acceptance in recent years. However, literature falls short in explaining the transformation process that results from the implementation of agile work organization as a means of achieving increased adaptability, rate of speed and flexibility. We apply a process ontology to agile work organization by following three multinational firms that apply agile work organization, utilizing a case study approach over three years. At the macro level, our theory describes the transformation process set in motion by agile work organization as a three-phase process. At the micro level, we show that this transformation process is driven by specific design decisions on individual elements. Thus, our process theory contributes to a better understanding of agile work organization as a means to achieve organizational agility and to STS theory by showing that the emergence and constitution of STS are mainly driven by micro-level processes.

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Artificial Intelligence (AI) shows great potential to tackle environmental sustainability issues that are critical to the survival of Humanity and Planet Earth. However, the development and use of AI causes indirect emissions leading to detrimental effects on the environment. Therefore, it is important for organizations, researchers, and practitioners in the Information Systems (IS) domain to understand both the positive and negative effects of AI on the environment. This article contributes to this topic by performing a theoretical review of the literature at the intersection of AI and Sustainability to determine the current research streams. Further, this article adopts the affordance theory as a theoretical lens with the goal to identify the affordances of Sustainable AI – a field that encompasses the research areas ‘AI for Sustainability as well as ‘Sustainability of AI’ – in the Green IS community. The identified affordances would enable researchers and practitioners to design and use Sustainable AI systems.

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Wissenschaftlicher Artikel
Technical debt (TD) is a technical compromise wherein the ability to maintain information technology (IT) applications over the long term is sacrificed for short-term goals. TD occurs when software development teams undergo constant pressure to release applications swiftly, on a tight schedule. The accumulation of TD, which often leads to a significant cost surplus, presents a ubiquitous challenge in technology-driven organisations. To keep TD levels under control, many organisations implement top-down mechanisms that impose enterprise-wide principles on software development teams. This clinical research presents a complementary but distinct approach to managing TD. A digital nudge was introduced at Credit Suisse, a global financial services company, to help raise awareness and understanding, and stimulate actions related to TD decision-making in software development teams. This paper reports on the nudge’s clinical design, implementation, impact, and evaluation. As the nudge was effective in reducing TD in IT applications after one year of use, we demonstrate that digital nudges are viable means for guiding collective decisions in complex decision environments like that of TD management. Our findings have several implications for research and practice.

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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

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Designing for system trustworthiness promises to address challenges of opaqueness and uncertainty introduced through Machine Learning (ML)-based systems by allowing users to understand and interpret systems’ underlying working mechanisms. However, empirical exploration of trustworthiness measures and their effectiveness is scarce and inconclusive. We investigated how varying model confidence (70% versus 90%) and making confidence levels transparent to the user (explanatory statement versus no explanatory statement) may influence perceptions of trust and performance in an information retrieval task assisted by a conversational system. In a field experiment with 104 users, our findings indicate that neither model confidence nor transparency seem to impact trust in the conversational system. However, users’ task performance is positively influenced by both transparency and trust in the system. While this study considers the complex interplay of system trustworthiness, trust, and subsequent behavioral outcomes, our results call into question the relation between system trustworthiness and user trust.

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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.

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Algorithmic forecasts outperform human forecasts in many tasks. State-of-the-art machine learning (ML) algorithms have even widened that gap. Since sales forecasting plays a key role in business profitability, ML based sales forecasting can have significant advantages. However, individuals are resistant to use algorithmic forecasts. To overcome this algorithm aversion, explainable AI (XAI), where an explanation interface (XI) provides model predictions and explanations to the user, can help. However, current XAI techniques are incomprehensible for laymen. Despite the economic relevance of sales forecasting, there is no significant research effort towards aiding non-expert users make better decisions using ML forecasting systems by designing appropriate XI. We contribute to this research gap by designing a model-agnostic XI for laymen. We propose a design theory for XIs, instantiate our theory and report initial formative evaluation results. A real-world evaluation context is used: A medium-sized Swiss bakery chain provides past sales data and human forecasts.

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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

    2022

    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

    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