Marius Sprenger- PhD
- PhD Student at University of Münster
Marius Sprenger
- PhD
- PhD Student at University of Münster
About
7
Publications
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Introduction
PhD student at the University of Münster. Trying to develop effective anti-doping and anti-match-fixing strategies using computer simulation. Interested in digital transformation in all sectors, including sports.
Current institution
Publications
Publications (7)
Background: Mixed-reality sports are increasingly reaching the highest level of sport, exemplified by the first Virtual Tour de France, held in 2020. In road races, power output data are only sporadically available, which is why the effect of power output on race results is largely unknown. However, in mixed-reality competitions, measuring and comp...
A new form of sports platforms transfers traditional sports like cycling into a virtual world and lets users socialize, exercise or compete with each other. Despite the increasing public attention, there is no research on motivational factors of this advanced mixed-reality tech-nology allowing virtual-mediated physical interaction. Therefore, we pr...
Due to the high risk of COVID-19 transmission, many sport events, including organised cycling competitions, have been cancelled. Nevertheless, staying active is important for individual well-being and professional athletes need to compete to earn their living. We propose that mixed-reality applications like ZWIFT allow to conduct virtually mediated...
Previous studies on mobile payment solutions neglected potential users' heterogeneity regarding individual characteristics and the time-critical context of mass event hospitality. This study identifies three potential user clusters-namely Early Adopters, Undecided Majority and Laggards in consistence with innovation diffusion theory. Moreover, we e...
In professional sports, the amounts disbursed in rank-based prize money distributions decline sharply, and differences in performance are extremely small. This disparity may provide a high incentive for doping. Due to the complexity of doping, obtaining meaningful insights on the influence of prize money distribution and the pecuniary value of priz...
Our research deals with the implementation of a computer program using the technique of Agent-Based Modelling that simulates the background proceedings of match fixing as an approach to detect and analyse different factors that are influencing the match fixing decision. The overall goal of the simulation is to deliver recommendations for action to...
