1 / 2AI-Driven Knowledge Management Assets: Strategies for the Modern Business Landscape
Strategies Modern Landscape: AI-Driven Knowledge Management Assets examines how artificial intelligence intersects with knowledge management strategy and business practice. Its described coverage includes traditional KM approaches, AI applications, case studies, empirical research, and ethical and sustainability considerations.
At a glance
- Covers knowledge management from foundational concepts through AI-related applications and managerial practice.
- Description says chapters include case studies and empirical research on the benefits and challenges of integrating AI into knowledge management.
- Addresses ethical, sustainability, and managerial issues alongside strategic decision-making.
Reference price: $115.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Connects established knowledge-management strategies with current AI applications.
- Case studies and empirical research are described as part of the chapter coverage.
- Includes ethical and sustainability perspectives, useful alongside strategic and operational topics.
Technical specifications
8 specifications| Publisher | Emerald Publishing Limited |
|---|---|
| Publication date | March 16, 2026 |
| Language | English |
| Print length | 344 pages |
| ISBN-10 | 1836627793 |
| ISBN-13 | 978-1836627791 |
| Weight listed | 1.24 pounds |
|---|---|
| Dimensions | 5.98 x 0.88 x 9.02 inches |
Who is it for?
A good fit for
- Business leaders considering how AI may fit into knowledge-management processes.
- Academics and students studying knowledge management, AI adoption, or business strategy.
- Readers seeking coverage that combines managerial themes with case studies and ethical considerations.
Frequently asked questions
What topics does this book cover?
The supplied description says it explores knowledge management strategy and practice, traditional KM approaches, AI applications, case studies, empirical research, and ethical, sustainability, and managerial issues.
Who is this book intended for?
The listing describes it as a resource for business leaders, academics, and students interested in integrating AI into knowledge management and business decision-making.
How long is the book?
The listed print length is 344 pages.
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