Search
Generic filters
Exact matches only
Filter by content type
Users
Attachments

Institut für Wirtschaftsinformatik

Universität St.Gallen (HSG)

Das Institut für Wirtschaftsinformatik (IWI-HSG) ist mit seinen fünf Lehrstühlen eines der grössten Institute der Universität St.Gallen. Seit mehr als 30 Jahren forschen wir zu Geschäftsmodellen und der Anwendung digitaler Technologien.

Forschung

Mit dem St Galler House of Digital Business verfolgt das IWI einen ganzheitlichen Ansatz zur Strukturierung der Digitalisierung in Unternehmen. Wir sind in Forschung und Praxis international bestens vernetzt. Als eines der führenden Institute der Wirtschaftsinformatik in Europa stehen wir für hoch relevante Themen, von der Grundlagenforschung über angewandte Forschung bis hin zu Transfer und Weiterbildung.

Lehre

Neben der Forschung macht die Lehre einen wesentlichen Bestandteil unseres Engagements aus: Die Lehrveranstaltungen, die von unseren Dozierenden angeboten werden, sind für alle Studiengänge der School of Management von grosser Bedeutung. Der Erfolg unseres akademischen Nachwuchses steht für unsere Forschungs- und Lehrleistung.

Weiterbildung

Dem IWI-HSG angegliedert ist der Nachdiplomstudiengang Executive Master in Business Engineering (EMBE HSG), der CAS HSG Big Data and Artificial Intelligence for Managers, CAS Digital Innovation & Business Transformation, sowie das Executive Diploma HSG IT Business Management.

Lehre & Master in Business Innovation (MBI)

Das IWI-HSG bietet verschiedene Kurse auf Bachelor-, Master- und Doktorats-Stufe an und betreut das Master-Programm in Business Innovation (MBI)

Events

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)

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 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

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