Publications by Marco Meier
Conference Articles (Peer Reviewed)
Valta, M., Menzel, J., Maier, C., Pflügner, K., Meier, M., and Weitzel, T. (2022)
Digital Nudging: A Systematic Literature Review and Future Research Directions
Forthcoming in: Proceedings of the 22nd ACM SIGMIS Conference on Computers and People Research, Atlanta (GA), United States
Digital nudging is omnipresent in users’ daily lives and constantly influences decisions in digital choice environments that require users to make decisions such as web-based forms or mobile apps. It uses interface design elements and aims to guide users' behavior in specific directions. So far, there is quite a lot of research in that stream, whereby each article focuses on one specific context in which digital nudging is applied. To assist researchers and practitioners that aim to study or design information systems, we provide an overview of existent research in that stream. Following the groundedtheory method, we categorize 88 publications and reveal ten forms and five contexts of digital nudging. We also provide an overview of relationships between forms of digital nudging and their contexts. Our findings contribute to digital nudging research by offering an in-depth and structured overview of existing research and future research directions.
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
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. and Maier, C. (2021)
Exchange Traded Funds (ETFs): A qualitative study explaining retail investors’ switching behavior to IT-enabled investments
Proceedings of the 27th Americas Conference on Information Systems (AMCIS), Montreal, Canada
Investing money set aside in stocks or funds is becoming increasingly attractive as central banks hardly pay any interest. A recent trend shows that retail investors are investing in exchange-traded funds (ETFs), because they enable risk diversification and require little administrative effort, so that even experienced retail investors are switching from stocks to ETFs. To explain this behavior, we draw on migration theory and conduct a qualitative study. Our results suggest that such switches are based on five perceptions, characterized as pull, push, and mooring factors and that two different patterns of switching behavior exist. We contribute to research on IT-enabled investments by (1) showing that context-specific perceptions, such as perceived risk reduction, influence retail investors’ switching behavior to ETFs, (2) highlighting that these perceptions let some retail investors invest in stocks and ETFs in parallel, and (3) explaining why experienced retail investors switch to ETFs.
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, MarokkoClaudio Ciborra Award Nominee
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.