Ai-driven Knowledge Management Assets: Strategies for the Modern Business Landscape (2) - Couverture rigide

Couverture rigide

ISBN 10 : 1836627793 ISBN 13 : 9781836627791

Editeur : Emerald Publishing Limited, 2026

Synopsis

With Artificial Intelligence (AI) reshaping how businesses operate, the integration of intelligent technologies into Knowledge Management (KM) processes offers new opportunities for optimizing data-driven decision-making and enhancing organizational performance.

AI-Driven Knowledge Management Assets explores KM as a critical element of business strategy and managerial practice, especially in an era of rapid AI adoption. Authors examine KM’s foundational and advanced aspects through a managerial lens, highlighting how AI is reshaping contemporary KM practices, and delve into traditional KM strategies and cutting-edge AI applications. Each chapter is enriched with case studies and empirical research that showcase the real-world benefits and challenges of integrating AI into KM. From uncovering the theoretical underpinnings of KM to examining AI-driven innovations that create competitive advantages, this work offers actionable insights and perspectives on future developments. Authors address ethical, sustainability and managerial issues, equipping readers with the tools to navigate the complexities of AI-infused KM practices.

Providing a valuable resource for business leaders, academics, and students, this volume supports those looking to integrate AI into KM to drive strategic decision-making and operational efficiency. Merging traditional knowledge management practices with the latest AI advancements, it prepares readers to harness technology for innovative solutions, positioning their organizations for success in the modern business landscape.

A propos du livre

À propos de l?auteur

Miltiadis D. Lytras is a Professor (Full) at The American College of Greece and a Visiting Research Professor at Effat University in Saudi Arabia. Dr. Lytras is a world-class expert in the fields of digital transformation and technology-enabled learning. He is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe, the Middle East, and Asia.

Meir Russ is a Professor Emeritus in Management at the Austin E. Cofrin School of Business at the University of Wisconsin-Green Bay, USA, a Research Fellow at the Stellenbosch University in South Africa and a Visiting Professor at the University of Łódź, Poland. He is presently the Editor–in-Chief of The Online Journal of Applied Knowledge Management (OJAKM).

Détails de l'édition

• Éditeur: Emerald Publishing Limited
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1836627793
• ISBN 13: 9781836627791
• Reliure: Relié
• Nombre de pages: 344
• Éditeur: Lytras Miltiades D., Russ Meir
• Coordonnées du fabricant: Easy Access System Europe Oü, 16879218; gpsr.requests@easproject.com; ; Mustamäe tee 50, 10621, Tallinn, Estonia; Tallinn; 10621; Estonie