Cognitive Governance Framework

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Authors: T. Ganesan, S. Harish Alwar, J. Abishek, K. DanielRaj
Cited by: 1
References: 9

Abstract

The chapter examines how artificial intelligence (AI) fits into agile management routines inside today's firms - it sets out a full framework for predictive roadmapping, real time risk sensing and human-in-the-loop oversight. AI-driven analytics let firms forecast supply chain risks, balance resource loads and keep management adaptive, ethical plus open. The chapter lists step-by-step implementation tactics, worked case studies and a review of common obstacles - researchers and practitioners gain clear guidance for sharper management in agile, high variance supply chains.

Fields of Study & Subjects

Supply Chain Resilience and Risk Management Big Data and Business Intelligence Innovation Sustainability Human-Machine Systems

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
157–190
Publication date
1 April 2026
Document type
Book chapter