Quantum computing promises to be the next disruptive technology, with numerous possible applications and implications for organizations and markets. Quantum computers exploit principles of quantum mechanics, such as superposition and entanglement, to represent data and perform operations on them. Both of these principles enable quantum computers to solve very specific, complex problems significantly faster than standard computers. Against this backdrop, this fundamental gives a brief overview of the three layers of a quantum computer: hardware, system software, and application layer. Furthermore, we introduce potential application areas of quantum computing and possible research directions for the field of information systems.
The skills students need nowadays have changed over the last decades. The required skills are shifting more and more towards higher order thinking skills, such as critical thinking, collaboration and communication. One of the main ways of practicing these skills is through formative feedback, which consists of self-assessment and peer-assessment in our setting. However, today's lecturers are facing the challenge that the number of students per lecture is continuously increasing, while the available budget is stagnating. Hence, large scale lectures often lack feedback, caused by the scarcity of resources. To overcome this issue, we propose a teaching-learning scenario using IT to provide formative feedback at scale. In this paper, we are focusing on the students' providing-feedback skill, which is important for collaborative tasks. In our experiment with around 101 master students, we were able to show that the students' ability to provide feedback significantly improved by participating in IT-based peer feedback iterations.
Professional sports has evolved from a game to an organization that has been codified, strategized, and commercialized. One factor that is shaping the sports industry is the pervasiveness of social media. On the one hand, social media is used as a powerful medium for distributing and getting news, engaging in topical discussions, and empowering brands. On the other hand, social media has become a crucial mouthpiece for athletes to interact with peers, share opinions, thoughts, and feelings. However, millions of followers, tweets, and likes later, researchers, practitioners, and athletes alike ask whether social media has an impact on an athlete's performance. We conducted a social media usage and a sentiment analysis of 124,341 Twitter tweets extracted from 31 tennis athletes. We linked these data to 8,095 corresponding match day performances. The results show that high social media usage has a significant negative impact on athletes' performance.
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