Information technology is evolving at rapid speed. It is changing how people work and how organizations create value. The Institute of Information Systems (IWI) trains future leaders to harness the potential of information technology in organizations. In research and teaching, we combine technological trends such as social media, big data, cloud computing, and software ecosystems with core topics in business informatics such as e-business, global IT procurement, process management and knowledge management. We employ innovative teaching methods and publish our research in leading academic journals.
May 2, 2025
08:30
At UniS, University of Bern, Schanzeneckstrasse 1, CH-3012 Bern, Switzerland
Science communication
Swiss Software Industry Survey
This year's study focuses on the significance of artificial intelligence in the Swiss software industry.
Journal publication
Driven by the promise of cost savings and improved service quality, cloudsourcing has evolved into the largest segment of the global outsourcing market. In practice, however, managing cloudsourcing projects poses a major challenge, as they often turn into complex, multi-year endeavors requiring frequent adjustments to both the cloud service and the contract in response to new objectives. This study develops and investigates the idea that, in this adjustment process, the outsourcing contract and the software artifact are closely intertwined.
Active user engagement is a key factor in the success of social media platforms. On various platforms, content is no longer necessarily permanently available, but can be automatically deleted after a short period of time. But what impact does this actually have on users? Based on an affordance theory approach, Christiane Lehrer, Ioanna Constantiou, Thomas Hess, and Christian Matt explored this question. The study was published in the renowned journal MIS Quarterly and reveals numerous positive and negative effects of content ephemerality, ultimately leading to changes in user behavior.
Product recommendations by intelligent voice assistants can be convenient, but the underlying AI is limited by the audio channel’s constraints and can only transmit a limited amount of information. As a result, users may perceive a lack of transparency, leading to a sense of unfairness. Helena Weith and Christian Matt examine, from a user-based perspective, how information provision measures can be employed to prevent unjustified perceptions of unfairness and negative behavioral responses.
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