Der Nachhaltigkeits-Code: Wie Predictive Sustainability Intelligence Nachhaltigkeit Messbar, Entscheidbar Und Steuerbar Macht
Language: German
Published by Springer Gabler, 2026
- Softcover
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- Title
- Der Nachhaltigkeits-Code: Wie Predictive Sustainability Intelligence Nachhaltigkeit Messbar, Entscheidbar Und Steuerbar Macht
- Author
- Seebacher, Uwe
- Publisher
- Springer Gabler
- Publication year
- 2026
- Condition
- As New
- Binding
- Soft cover
- Language
- German
- ISBN 10
- 3658507659
- ISBN 13
- 9783658507657
In einer Zeit multipler Krisen – von Klimawandel über soziale Ungleichheit bis hin zu globalen Marktunsicherheiten – stehen Unternehmen vor der Herausforderung, ihren Unternehmenswert neu zu definieren. Traditionelle Wachstumsparadigmen stoßen an Grenzen; statt reinem Umsatzwachstum rücken Nachhaltigkeit, Resilienz und langfristige Wertschöpfung in den Fokus. Predictive Sustainability Intelligence (PSI) – also vorausschauende nachhaltigkeitsorientierte Datenanalyse – verspricht, genau an dieser Schnittstelle anzusetzen. PSI nutzt künstliche Intelligenz und Big Data, um zukünftige Entwicklungen in den Bereichen Umwelt, Soziales und Wirtschaft frühzeitig zu erkennen und Handlungsoptionen abzuleiten. So können Unternehmen nicht nur Risiken proaktiv managen, sondern auch neue Chancen zur Steigerung des Unternehmenswerts erschließen (Davenport & Harris, 2017; Seebacher & Zacharias, 2026).
Dieses Buch zeigt den Leserinnen und Lesern auf, was Predictive Sustainability Intelligence ist, wie es erfolgreich realisiert werden kann und wir diese KI-Anwendung dabei hilft – Nachhaltigkeit so zu etablieren, dass sie nachweislich den Unternehmenswert steigert – als konkretes Playbook für eine Umsetzung im Jahr 2026.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Unternehmen stehen unter wachsendem Druck, Nachhaltigkeit nicht nur zu dokumentieren, sondern strategisch zu steuern. Dieses Buch zeigt, wie Predictive Sustainability Intelligence (PSI) Organisationen befähigt, ökologische, ökonomische und soziale Entwicklungen frühzeitig zu erkennen und in konkrete Next-Best-Actions zu übersetzen. PSI basiert auf Large Understanding Models (LUM) und verbindet neuro-symbolische KI, kuratierte Wissensmodelle, prädiktive Analytik und autonome Agentensysteme zu einer integrierten Entscheidungsarchitektur. So lassen sich wertschöpfende Schritte präzise bestimmen, Ergebnisse verlässlich prädizieren und teils automatisiert ausführen. PSI minimiert Risiken, erhöht Effizienz und macht nachhaltige Wertschöpfung steuerbar. Anstelle reaktiver ESG-Pflichterfüllung entsteht ein evidenzbasiertes, zukunftsgerichtetes Management, das Unternehmen resilienter und leistungsfähiger macht.
Der Inhalt:
- Grundlagen von PSI;
- ökonomische, ökologische und soziale Wertdimensionen;
- vierphasiger Implementierungsplan;
- Rollen, Governance und Datenstrategie
- rechtliche Rahmenbedingungen
- Zukunft der Nachhaltigkeitssteuerung mit Echtzeit-Prediction, digitalen Zwillingen und holistischen Intelligence Hubs
Die Autoren
Uwe Seebacher gilt als führender Methoden- und Strukturwissenschaftler, Mastermind der modernen Predictive Intelligence und Multi-Forbes-Bestsellerautor. Mit dem Uni-Spin-off predictores.ai treibt er seit 2017 die Entwicklung der Large Understanding Models voran.
Jörg Forthmann ist Geschäftsführer des IMWF und Experte für strategische Kommunikation, Big-Data-Analysen und KI-gestützte Geschäftsmodelle.
"About the title" may belong to another edition of this title.
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