Leveraging AI for Business Innovation

Edited by Jay Liebowitz and Peter McAlindon

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: This book offers a comprehensive, up-to-date guide for business leaders and professionals looking to leverage AI effectively in their organizations. It addresses the growing demand for practical knowledge on AI implementation in business contexts, filling a gap between purely technical AI literature and general business strategy books.

Keywords: AI Strategy Framework; AI Entrepreneurship; AI Implementation; Generative AI; Multi-Agent Systems; Artificial Intuition; Human-AI Symbiosis; Startups; Corporate Learning; Management Decision-Making; Business Performance; Innovation; Industry 5.0; Business Process Improvement (search for similar items in EconPapers)
JEL-codes: L21 M13 M15 O32 O33 (search for similar items in EconPapers)
Date: 2025
ISBN: 9789819816330
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https://www.worldscientific.com/worldscibooks/10.1142/14397 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 AI Tools and Techniques to Increase the Likelihood of Success in Startups , pp 1-24

Peter McAlindon

Ch 2 AESOP: The AI Strategy Framework—Not a Fable , pp 25-45

Casey Carnes and Jay Liebowitz

Ch 3 AI and Entrepreneurship , pp 47-66

Rajiv Menon

Ch 4 AI Unlocked: Proven Frameworks for Implementation Success , pp 67-83

Isar Meitis

Ch 5 The AI Revolution in New Product Development , pp 85-120

Robert G. Cooper

Ch 6 Language Models as Tools of/in/by/for Thought , pp 121-144

Steve J. Bickley

Ch 7 Generative AI and Multi-Agent Systems in Management , pp 145-171

Andrzej Wodecki

Ch 8 The Role of AI in Corporate Learning , pp 173-191

José A. Fernández-Calvo

Ch 9 Artificial Intuition in Management Decision-Making: Are We There Yet? , pp 193-227

Leonie Hallo

Ch 10 Innovative AI Applications in Business: Cases and Insights , pp 229-248

Yang Song and Wenkai Zhou

Ch 11 Threat Avoidance or Opportunity Chasing? The Three Levels of AI Adoption and the Implications for Business Performance , pp 249-273

Marigo Raftopoulos

Ch 12 Human–AI Symbiosis: Opportunities for Business Innovations and Worker Upskilling , pp 275-291

Kuanchin Chen

Ch 13 Navigating Industry 5.0: Integrating Artificial Intelligence with Innovation and Management Competencies for the Future of Business , pp 293-310

Zafer Adiguzel

Ch 14 Intersection of Generative Artificial Intelligence with Intellectual Property Rights , pp 311-329

Terry M. Sanks

Ch 15 Multimodal Generative and Agentic AI for Business Process Improvement in High-Consequence Training and Decision-Making , pp 331-342

David Metcalf, Devon Veller, Michael Eakins, Angela Hamilton and Max Hooper

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