Meier Marco

M.Sc - Information Systems

Marco Meier is a research assistant at the Department of Information Systems and Services (ISDL). Prior to that, he studied Information Systems (B.Sc.) at the Nuremberg University of Technology and then moved to the Otto-Friedrich University of Bamberg for the Master's program in Information Systems. During his master studies he spent a semester abroad at the National Taipei University of Technology in Taiwan. In addition to his studies, he worked for six years at DATEV eG in Nuremberg, first as a working student and then as a product manager.

Selected Publications

Meier, M., Maier, C., Thatcher, J.B., and Weitzel, T. (2022)
Shocks and IS User Behavior: A Taxonomy and Future Research Directions
Forthcoming in: Internet Research (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, (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., Mattke, J., and Maier, C. (2022)
Decentralized Finance: A Configurational Perspective on UTAUT
Proceedings of the 30th European Conference on Information Systems (ECIS), Timisoara, Romania

View Abstract
Blockchain-based decentralized finance (DeFi) enables financial transactions without intermediaries. Among its most diffused applications is DeFi borrowing, which allows users to borrow money from other users. DeFi borrowing relies on sufficient users requesting money, making it essential for blockchain technology platform providers to understand why users intend to use DeFi borrowing. To explain this, we turn to the unified theory of acceptance and use of technology (UTAUT). Given that existing studies differ in how the beliefs of UTAUT influence use intention, we explain previous findings by suggesting that multiple beliefs together, so-called configurations, lead to high and low use intention. Following a configurational approach on potential users of DeFi borrowing, we reveal three configurations resulting in high use intention and two configurations resulting in low use intention. We contribute by explaining DeFi borrowing use intention and resolving previous differing findings on UTAUT by taking a configurational perspective.

Meier, M., Maier, C., Reis, L., and Weitzel, T. (2021)
Amazon Prime Video Yesterday, Netflix Today: Explaining Subscribers' Switching Behavior from a Retrospective
Proceedings of the 29th European Conference on Information Systems (ECIS), Marrakesch, Marokko
Claudio Ciborra Award Nominee

View Abstract
Video-on-demand (VoD) services attract millions of subscribers around the globe. Despite their popularity, practice shows the interesting behavior of subscribers of VoD services switching regularly between different providers, such as Netflix or Amazon Prime Video. To sustain their revenues due to subscriptions, providers need to understand the reasons why subscribers switched to other VoD services. While existing research with a prospective point of view explains that users develop switching intentions between different services because of, for instance, dissatisfaction, there is scant research on their actual switching behavior from a retrospective. By analyzing interviews with 23 subscribers that switched VoD services, findings reveal five switching causes and three switching barriers that together explain switching behavior between VoD services. With that, the findings contribute to switching research by identifying switching causes and switching barriers, zooming in on causes of subscribers’ dissatisfaction with VoD services, and studying switching behavior from a retrospective.