Handbook of artificial intelligence and strategy / edited by Felipe A. Csaszar (Alexander M. Nick Professor of Strategy and Area Chair of Strategy, Ross School of Business, University of Michigan) and Nan Jia (professor of strategic management, Department of Management and Organization, USC Marshall School of Business, University of Southern California, USA).

Format:

Book

Contributor:

Csaszar, Felipe, editor.

Jia, Nan, editor.

Edward Elgar Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Handbooks, manuals, etc.

Artificial intelligence.

Strategic planning--Handbooks, manuals, etc.

Strategic planning.

Genre:

Electronic books.

Physical Description:

1 online resource (420 pages)

Place of Publication:

Northampton : Edward Elgar Publishing, 2026.

Summary:

"This pioneering Handbook explores how AI is transforming strategic management across theory, practice, and education. Bridging strategy, technology, ethics, and policy, it demonstrates the broad societal and business implications of this emerging technological advancement. Organized around four themes-theories, tools, teaching, and terrains-it collates diverse perspectives from leading scholars to examine AI's multifaceted impact on strategy. It outlines contemporary shifts in fundamental strategic concepts, including capabilities and competition, to provide practical frameworks for implementing AI in decision-making and innovation. Chapters address the pedagogical challenges of cultivating future strategists, alongside broader issues of ecosystem and governance. Presenting concise summaries that translate research into actionable guidance, this Handbook challenges key assumptions and fosters open dialogue on AI's evolving role in strategy. With contributions ranging from theoretical extensions to empirical insights and teaching innovations, this is a necessary resource for scholars, students, and educators of business, management, innovation, and technology. It is also beneficial for practitioners looking to navigate the complexities of AI-driven strategic transformation in an era of rapid technological change"-- Provided by publisher.

Contents:

Contents: 1. Editors' Introduction: Artificial intelligence and strategy: Charting new frontiers / Felipe A. Csaszar and Nan Jia

Part I: Theories

2. Strategic upskilling of knowledge workers in the generative AI era / Maryam Alavi

3. Will artificial intelligence "democratize" corporate political activities?: Amplifying the role of "know who" in the age of enhanced "know what" / Nan Jia, Maria D. Perez, Jinyuan Song, Yifan Wei, and Bo Yang

4. Artificial intelligence as a platform technology: Strategic implications of competing on top of an AI platform / Kevin J. Boudreau, Lars Bo Jeppesen, and Milan Miric

5. Algorithmic ambidexterity: Rethinking exploration and exploitation in the age of AI / Shuang Liu

6. Genai and the future of creativity in science and art / Sandra Barbosu and Pooyan Khashabi

7. We rise to resist: The crisis of relevance and the movement against generative AI in creative industries / Saheli Nath

Part II: Tools

8. Toward a human-AI task tensor: A taxonomy for organizing work in the age of generative AI / Anil R. Doshi and Alastair P. Moore

9. Generative artificial intelligence for advancing knowledge-based technological innovation and strategy: The "fruit tree" model / Jiaming Ding and Kenneth G. Huang

10. Strategic decisions and AI: The inferential trilemma / Lu Hong, Anusha Kallapur, and Scott E. Page

11. AI-augmented strategic tools for strategy formulation and implementation: Revisiting traditional strategy tools and frameworks / David Gurzick, Maheshkumar P. Joshi, and Martha Gurzick

Part III: Teaching

12. Business schools as learning organizations in the age of AI / Peter Cardon and Ramandeep S. Randhawa

13. Toward an AI-infused MBA: A "head, heart, and hands" perspective / Alfredo Enrione

14. Why and how to teach foundational AI ideas to business school students / Tom Steinberger

15. Space for AI-supported learning: Expanding and endangered / Henning Piezunka

16. Teaching AI's role in strategic decision-making within strategic factor markets using a word game / Ipek Koparan and Gorkem Aksaray

Part IV: Terrains

17. The business of AI-producing startups: Evidence from a worldwide survey / James Bessen, Stephen Michael Impink, and Robert Seamans

18. Beyond English-centric AI: Strategic frameworks for developing low-resource language models / Prithwiraj Choudhury, Do Yoon Kim, and Sana Kang

19. Governance of artificial intelligence: Public policy and self-regulatory frameworks for consequential decision-making / Gwendolyn Kuo-fang Lee

20. AI and ethical concerns in managing decision-making processes: A case study of Leonardo S.p.A. / Ksenija Milosevic, Saverio Barabuffi, and Giulio Ferrigno.

Notes:

Description based on print record.

ISBN:

9781035345885 (e-book)

Access Restriction:

Restricted for use by site license.