Using Artificial Intelligence (AI) to Minimize Errors in Business Enterprise Management
Using Artificial Intelligence (AI) to Minimize Errors in Business Enterprise Management
This book explores how artificial intelligence (AI) can revolutionize error culture and error management to enhance business efficiency and resilience. Anchored in established frameworks like ISO 31000 and COSO ERM, it demonstrates how principles from High Reliability Organizations (HROs) can be adapted to diverse industries. Through comprehensive research, including a unique 56-criteria checklist, it offers actionable strategies for identifying and mitigating risk management weaknesses. By leveraging AI's predictive and real-time capabilities, the book empowers leaders to adopt proactive approaches to organizational safety and sustainability while addressing ethical considerations and practical challenges.
ERROR THEORIES; ANALYSIS, CHANGE ANDDEVELOPMENT OF ORGANIZATIONAL CULTURE, ARTIFICIALINTELLIGENCE
DEVELOPMENT AND APPLICATION OF ANINTEGRATED AUDIT APPROACH TO IDENTIFY THE WEAKNESSES OFTHE RISK MANAGEMENT SYSTEMS ISO 31000 AND COSO ERMFRAMEWORK IN CAPTURING THE ERROR CULTURE, WHICH HASTHE POTENTIAL FOR OPERATIONALIZATION THROUGH AI
COMPARISON OF THE RISK MANAGEMENT SYSTEMSISO 31000:2018 AND COSO ERM FRAMEWORK WITH REGARD TOTHEIR ABILITY TO CAPTURE THE ERROR CULTURE
INTERPRETATION OF RESULTS: EVALUATING ISO31000:2018 AND COSO ERM FRAMEWORKS IN CAPTURING ERRORCULTURE AND POTENTIAL IMPROVEMENT THROUGH AISOLUTIONS USING A HOLISTIC APPROACH WITH MOS.
Becker, Helmut
| ISBN | 978-3-658-47242-9 |
|---|---|
| Artikelnummer | 9783658472429 |
| Medientyp | Buch |
| Copyrightjahr | 2025 |
| Verlag | Springer, Berlin |
| Umfang | XXVIII, 224 Seiten |
| Abbildungen | XXVIII, 224 p. 22 illus., 7 illus. in color. |
| Sprache | Englisch |
