Unifying Sustainability Information for Societal Automation - Leveraging Collective Intelligence

This open access book offers a structured approach that aligns indicators of social value and provides a stable foundation amidst the dynamic and ever-changing social complexities. From detailed system scales of participation to an overview of how it works, this book presents a roadmap for automating data in systemic alignment with social value. With its adaptability to changing societal structures, it provides a pragmatic solution within existing systems while paving the way for future advancements.  It is valuable for researchers and business leaders.

Sommario

Chapter 1. Introduction to Unifying Sustainability Information.- Chapter 2. The Who, What, When, Where and Why of Social Impact Data.- Chapter 3. Metaphor-Driven Contextualization: Reordering Information for Collective Intelligence.- Chapter 4. From Concepts to Coherence: Modeling Social Impact Data for Societal Systemic Alignment.

Info autore

Carol Aebi is an experienced business researcher based in Switzerland specializing in strategy, digital transformation, and corporate governance. She engages in qualitative and quantitative research methods and provides innovative insights for actionable strategies. With a solid foundation in business management, information technology and sustainability, she offers a unique perspective on the use of automation to address societal challenges

Dettagli sul prodotto

• Autori: Carol Aebi
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 24.04.2025
• EAN: 9783031831195
• ISBN: 978-3-0-3183119-5
• Pagine: 93
• Dimensioni: 155 mm x 7 mm x 235 mm
• Peso: 190 g
• Illustrazioni: XIX, 93 p. 9 illus.
• Serie: SpringerBriefs in Business
• Categorie: Scienze naturali, medicina, informatica, tecnica > Geoscienze; Soziologie, Sustainability, Gesellschaft und Sozialwissenschaften, Society, Digital Transformation, Wirtschaftsmathematik und -informatik, IT-Management, Corporate Governance, Open Access, decision-making, Business Information Systems, Social Value, Social structures, Automating data, Business leadership, Stigmergic information system