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Beschreibung
This book places human, artificial, and organizational attention at the center of understanding how AI reshapes learning and decisionmaking in organizations. Integrating insights from an undergraduate information systems seminar, it draws on three systematic literature reviews and an integrative synthesis to develope a multilevel account of AI as an attentional actor that filters, highlights, and structures information. Situating its analysis across information systems, organizational learning, knowledge management, and humancentered 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, humancentered 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 automationcentric 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.
This book places human, artificial, and organizational attention at the center of understanding how AI reshapes learning and decisionmaking in organizations. Integrating insights from an undergraduate information systems seminar, it draws on three systematic literature reviews and an integrative synthesis to develope a multilevel account of AI as an attentional actor that filters, highlights, and structures information. Situating its analysis across information systems, organizational learning, knowledge management, and humancentered 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, humancentered 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 automationcentric 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.
Über den Autor

Dr. Isabel Ramos is an Associate Professor with Habilitation at the Department of Information Systems of the University of Minho in Portugal, where she conducts research on information systems, innovation, knowledge management, resilience and digital transformation. She has served in academic leadership roles, including Director of the Doctoral Programme in Information Systems and Technologies and President of the Portuguese Association for Information Systems. She has also held international positions such as Chair of the IFIP Technical Committee on Information Systems and Vice-President for membership services and chapters of the Association for Information Systems. Ramos's contributions to the field have been recognised with awards such as the IFIP Outstanding Service Award and the IFIP Silver Core Award, and she has co-authored numerous scientific publications.

Dr. Katrin Bergener is a faculty member in the Department of Information Systems at the University of Münster, Germany, where her research focuses on creativity management, innovation, group support, and virtual group processes. She holds a doctorate (Dr. rer. pol.) from the University of Münster and has studied both information systems and linguistics, including an exchange year at the University of Auckland. Since 2024, she has been the Managing Director of the European Research Center for Information Systems (ERCIS), and she has held various academic leadership roles at the University of Münster, including coordinator of the University of Münster Centre for Europe. Dr. Bergener has contributed extensively to information systems research and teaching, supervising theses and publishing work on digital innovation and collaborative processes.

Dr. Armin Stein is a faculty member in the Department of Information Systems at the University of Münster, Germany, where he focuses his research on business process management, gaming communities, and information systems education. He is also interested in diversity in the information systems research field. He earned his doctorate at the Münster School of Business and Economics in 2010, with earlier degrees in information systems completed at the same university. Since 2010, he has served as Managing Director of the European Research Center for Information Systems (ERCIS), and he also holds lectureships at the German-Vietnamese University and the University of Liechtenstein. Beyond teaching and administration, Dr. Stein contributes to the academic community through roles in major conferences and editorial activities.

Inhaltsverzeichnis

AI Attention Mechanisms Enhancing Organizational Learning.- AI-Augmented Attention in Organizational Decision-Making.- Human-Centered AI Design and Implementation for Intelligence Augmentation.- Hybrid Attention as an Organizational Capability.

Details
Erscheinungsjahr: 2026
Fachbereich: Anwendungs-Software
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: SpringerBriefs in Information Systems
Inhalt: ix
100 S.
1 s/w Illustr.
7 farbige Illustr.
100 p. 8 illus.
7 illus. in color.
ISBN-13: 9783032301857
ISBN-10: 3032301858
Sprache: Englisch
Einband: Kartoniert / Broschiert
Redaktion: Ramos, Isabel
Bergener, Katrin
Stein, Armin
Herausgeber: Isabel Ramos/Katrin Bergener/Armin Stein
Hersteller: Springer
SpringerBriefs in Information Systems
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 7 mm
Von/Mit: Isabel Ramos (u. a.)
Erscheinungsdatum: 21.09.2026
Gewicht: 0,184 kg
Artikel-ID: 136017831

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