The first part of this blog series described different ways in which AI can affect individual professions. To analyze the impact of AI on the Swiss economic sector, a comprehensive qualitative and quantitative study on the exposure of individual professions to AI was conducted using a task-based view. The second part of this article series summarizes the results of this study and presents implications for policy and management.
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As a result of recent developments in the field of AI, the impact of automation on the labor market has begun to be reassessed. Non-routine cognitive or manual jobs, long considered unaffected by previous technologies, are increasingly under threat from self-learning algorithms, leading many economists to argue that this time the impact on the labor market is fundamentally different from other technologies. This blog post describes different ways in which AI can influence the tasks of a profession.
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The Competence Center Ecosystems of the Business Engineering Institute St. Gallen develops solutions for relevant problems from practice. In the context of this blog post, the overall research goal of the re-search area Distributed Ledger Technology (DLT) is presented. This research goal is to develop a frame-work that demonstrates and supports the methodological approach of DLT implementations to enable companies to adequately address relevant requirements of the implementation process of a DLT.
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It’s the aim of this blog post to put the theory of disruptive innovation in its proper context and to use it to explore the extent to which blockchain is a disruptive innovation that threatens the continued existence of financial services firms.
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In the era of Industry 4.0, the world has become progressively interconnected and digital. The trend is increasingly moving toward a decentralized information technology infrastructure, often using blockchain technology. In this blog post, you will learn about the three types of (de)centralization and the advantages of decentralization.
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Both technical and associated organizational decentralization are taking on an ever-increasing role due to the disruptive technologies DLT and blockchain, and continue to advance as new use cases and application areas are established. A new and increasingly growing trend are decentralized aut
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