Katrin Bergener – författare

Structuring, or, as it is referred to in the title of this book, the art of structuring, is one of the core elements in the discipline of Information Systems. While the world is becoming increasingly complex, and a growing number of disciplines are evolving to help make it a better place, structure is what is needed in order to understand and combine the various perspectives and approaches involved. Structure is the essential component that allows us to bridge the gaps between these different worlds, and offers a medium for communication and exchange.The contributions in this book build these bridges, which are vital in order to communicate between different worlds of thought and methodology – be it between Information Systems (IS) research and practice, or between IS research and other research disciplines. They describe how structuring can be and should be done so as to foster communication and collaboration. The topics covered reflect various layers of structure that can serve as bridges: models, processes, data, organizations, and technologies. In turn, these aspects are complemented by visionary outlooks on how structure influences the field.

This book places human, artificial, and organizational attention at the center of understanding how AI reshapes learning and decision‑making in organizations. Integrating insights from an undergraduate information systems seminar, it draws on three systematic literature reviews and an integrative synthesis to develope a multi‑level account of AI as an attentional actor that filters, highlights, and structures information. Situating its analysis across information systems, organizational learning, knowledge management, and human‑centered AI, the book synthesizes insights from more than 90 studies to show how attention mechanisms have become organizational capabilities influencing knowledge processes and sensemaking. The book argues that AI’s value lies not in replacing human judgment but in augmenting human attention, with effective decisions emerging from the interplay between artificial signal detection and human contextual reasoning. It emphasizes that this potential depends on transparent, human‑centered design and governance to prevent bias, overreliance, or loss of agency. By conceptualizing hybrid human–AI attention as an organizational capability, the book offers a unifying lens that links AI design, cognition, and decision processes, challenging automation‑centric narratives and highlighting the need for deliberate attentional governance in responsible AI adoption. The book addresses researchers and practitioners seeking insights into AI and attention while also supporting educators and students with clear guidance on conducting rigorous, structured literature analyses.