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Lund B: Artificial Intelligence for
Libraries

Artificial Intelligence for Libraries

School Libraries at the Heart of Learning, Connection, and Belonging

A Sense of Place

Routledge Library Editions: Publishing and Printing

From 1476 to Modern Times

Printing in London

Future Forward

Library Technical Services

Evolving Systems of Knowledge

Foundations of Museum Studies

Five Factors That Improve Employee Engagement and Satisfaction

Creating Healthy Library Workplaces

American Alliance of Museums

Building the Museum Financial Ecosystem

The Financial Integration and Resilience Model

Building A Culture of Teamwork and Trust

Empowering Library Staff and Customers

Routledge Studies in Central and Eastern European Business and Economics

This edited volume explores AI-driven digital transformation from the perspective of a well-established higher education institution. Featuring 23 chapters organized into six thematic areas-Decision Support, Data Processing, Marketing and Product Development, Supply Chains, Finance, and Foundational Issues- it provides practical examples of how business school departments can implement AI to foster innovation.Each chapter presents accessible case studies demonstrating AI applications in business, highlighting both benefits and risks. The volume bridges the gap between AI advancement and practical industry needs, offering actionable insights for integrating AI into decision-making, organizational processes, and curriculum development. Key contributions include demonstrating AI as a strategic enabler, positioning business schools as catalysts for change, recognizing sector-specific impacts, emphasizing ethical foundations, and promoting collaboration between academia, industry, and policymakers. This comprehensive resource equips educators and decision-makers with the knowledge and methods necessary to thrive in the era of AI-driven innovation and serves as a strategic blueprint for business schools to lead AI-driven transformation while maintaining ethical considerations.AI-Driven Digital Transformation will appeal to scholars and students of AI, technology, innovation management, and business education. It will also be of interest to business school leaders responsible for institutional strategies, educators creating study programs, curriculum specialists, and business leaders seeking AI implementation guidance within their expertise areas.

Perspectives from a Business School

AI-Driven Digital Transformation

This book is an essential guide to multimodal theses and dissertations (MTD) which involve researchers working with digital data such as video.

Multimodality as a Window into Learning

Digital Scholarship in Education

Knowledge Services

Real Leadership

Artificial Intelligence for Libraries

Weitere Titel zum Thema