Meier Marco

M.Sc. - Wirtschaftsinformatik

Marco Meier ist wissenschaftlicher Mitarbeiter des DFG-Projekts „Wie aus Nutzern Ex-Nutzer werden: Schocks und Unzufriedenheit als Ursache für das Beenden der Nutzung einer Plattform und das Wechseln zu einem anderen Anbieter“ (437092197), welches bei Prof. Dr. Christian Maier (Ludwig-Maximilians-Universität München) angegliedert ist.

Er studierte Wirtschaftsinformatik (B.Sc.) an der Technischen Hochschule Nürnberg und wechselte für das Masterstudium an die Otto-Friedrich-Universität Bamberg. Während seines Masterstudiums verbrachte er ein Auslandssemester an der National Taipei University of Technology in Taiwan. Neben seinem Studium arbeitete er sechs Jahre bei der DATEV eG, zuletzt als Produktmanager. Im Jahr 2022 war er als Gastwissenschaftler an der McGill University in Montreal, Kanada und erhielt in diesem Rahmen ein Stipendium des Deutschen Akademischen Austauschdienstes für internationale Forschungsaufenthalte für Informatikerinnen und Informatiker (IFI) Seit 2023 wird er durch das Graduate Center für Promovierende des Bayrischen Forschungsinstitut für Digitale Transformation (bidt) gefördert.

Marco befasst sich in seiner Forschung mit der Nutzung digitaler Technologien in privaten (z.B. Chatbots, Video-on-Demand-Dienste) und organisationalen Kontexten (z.B. Telework, Informationssicherheit). Seine Forschungsarbeiten wurden in Fachzeitschriften wie Communications of the Association for Information Systems und Internet Research sowie in Tagungsbänden von Konferenzen wie ECIS, HICSS, AMCIS und SIGMIS CPR veröffentlicht. Seine Forschung wurde unter anderem mit dem Magid Igbaria Outstanding Conference Paper of the Year Award auf der SIGMIS CPR 2022 ausgezeichnet und für den Claudio Ciborra Award auf der ECIS 2021 nominiert. Zudem wird seine Forschung unter anderem durch die Dr. Hans-Riegel-Stiftung gefördert.

Ausgewählte Veröffentlichungen

Meier, M., Maier, C., Thatcher, J.B., and Weitzel, T. (2023)
Shocks and IS User Behavior: A Taxonomy and Future Research Directions
Internet Research 33:3, p. 853-889, https://doi.org/10.1108/INTR-10-2021-0764 (VHB-JOURQUAL 3 Rating: k.R.)

View Abstract
Jarring events, be they global crises such as COVID-19 or technological such as the Cambridge Analytica data incident, have bullwhip effects on billions of people’s daily lives. Such “shocks” vary in their characteristics. While some shocks cause, for example, widespread adoption of information systems (IS) as diverse as Netflix and Teams, others lead users to stop using IS, such as Facebook. To offer insights into the multifaceted ways shocks influence user behavior, this study assesses the status quo of shock-related literature in the IS discipline and develops a taxonomy that paves the path for future IS research on shocks. We conducted a literature review (N=70) to assess the status quo of shock-related studies in the IS discipline. Through a qualitative study based on users (N=39) who experienced shocks, we confirmed the findings of previous literature in an illustrative IS research context. We integrated these findings to inform a taxonomy of shocks impacting IS use. Our studies identify different ways that shocks influence user behavior. The taxonomy reveals that IS research could profit from considering environmental, private, and work shocks and shedding light on positive shocks. IS research could also benefit from examining the urgency of shocks, as there are indications that this influences how and when individuals react to a specific shock. Our findings complement previous rational explanations for user behavior by showing technology use can be influenced by shocks. Our studies offer a foundation for forward-looking research that connects jarring events to patterns of technology use.

Meier, M., Maier, C., Mattke, J., and Weitzel, T. (2022)
Esports: Explaining Willingness to Pay for Streaming Services
Communications of the Association for Information Systems (CAIS) (50:1), p.286-307, https://doi.org/10.17705/1CAIS.05011 (VHB-JOURQUAL 3 Rating: C)

View Abstract
Online multiplayer computer game competitions—so-called esports—attract millions of spectators around the world and show spectator numbers comparable to the Super Bowl. Despite that, game publishers, which often organize these large-scale competitions, still struggle to establish esports as a profitable business venture. One way they can do so involves how they position fee-based streaming services for watching esports online. To draw spectators to their streaming services, esports organizers need to focus on attracting spectators with a high willingness to pay (WTP), and the streaming services need to satisfy spectators’ motivations. Grounded in uses and gratifications theory and a fuzzy set qualitative comparative analysis, our results show that four different configurations of motivations relate to WTP for esports streaming services. We contribute by showing that 1) motivations form WTP in the esports context, 2) multiple interacting motivations explain WTP, and 3) spectators follow different rationales for their high WTP.

Meier, M. and Maier, C. (2022)
From stocks to ETFs: Explaining retail investors’ migration behavior
Internet Research (ahead-of-print), , https://doi.org/10.1108/INTR-09-2021-0695 (VHB-JOURQUAL 3 Rating: k.R.)

View Abstract
Purpose Evidence suggests that retail investors who invest in individual stocks are, in the long run, largely outperformed by market indexes such as the MSCI World. While some turn to exchange traded funds (ETFs) to invest in such market indexes, few migrate completely to ETFs. This study aims to shed light on the rationale behind retail investors' partial and complete migration from stocks to ETFs. Design/methodology/approach Drawing from the pull-push-mooring framework, a qualitative study (N = 21) informs a quantitative study (N = 282) by following established mixed methods guidelines. This study develops propositions for partial and complete migration intention to ETFs. Findings Results reveal that perceived investment possibilities, perceived risk reduction, perceived administrative effort, perceived expensiveness and monetary loss costs influence the migration from stocks to ETFs. This study shows that three configurations of perceptions result in partial migration intention and one configuration results in complete migration intention. Originality/value This study explains why some migrate partially from stocks to ETFs and others migrate completely. Findings show that both migration behaviors are subject to the same perceptions, but the configurations that form the behaviors are different. While only some identified perceptions must be present for a partial migration, all of them must be present for a complete migration, as it requires retail investors to sell their stocks and accept the costs incurred to invest in ETFs instead.

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