Strategic Analytics: Towards AI-based Strategy Planning 2nd Edition

Strategic Analytics: Towards AI-based Strategy Planning book cover

Strategic Analytics: Towards AI-based Strategy Planning

Author(s): Martin Kunc (Author)

  • Publisher finelybook 出版社: Wiley
  • Publication Date 出版日期: February 17, 2026
  • Edition 版本: 2nd
  • Language 语言: English
  • Print length 页数: 512 pages
  • ISBN-10: 1394316003
  • ISBN-13: 9781394316007

Book Description

Enables organizations and managers to make strategic choices based on robust analytics supported by AI

The new edition of Strategic Analytics introduces AI as the natural transition from management science and analytics, explains how AI will shape the managerial capabilities and the process of strategic planning, and showcases the support AI can provide to the process of strategic planning. The text includes numerous updates to critical subjects including sustainability and the UN Sustainable Development Goals, stakeholder management, soft aspects of organizations (including people, culture, and values), and organizational change driven by analytics and AI.

This book discusses the three key types of analytics―descriptive, predictive, and prescriptive―together with multiple methods and frameworks from the field of strategic management. Multiple international real-life case studies, examples, and business issues for further research illustrate the combinations of analytics, AI and strategic management. Theory review questions and exercises are included at the end of each chapter.

Sample topics discussed in Strategic Analytics include:

  • Managerial capabilities for a complex world―politics, economy, society, technology, and environment
  • External environments known as exogenous factors (PESTE) and endogenous factors (industry)
  • Industry dynamics, industry evolution, competitive advantage, dynamic resource management, organizational design, and performance measurement system
  • The life cycle of organizations, from start-ups to maturity for maintaining profitability and growth and finally regeneration

Aimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.

From the Back Cover

Enables organizations and managers to make strategic choices based on robust analytics supported by AI

The new edition of Strategic Analytics introduces AI as the natural transition from management science and analytics, explains how AI will shape the managerial capabilities and the process of strategic planning, and showcases the support AI can provide to the process of strategic planning. The text includes numerous updates to critical subjects including sustainability and the UN Sustainable Development Goals, stakeholder management, soft aspects of organizations (including people, culture, and values), and organizational change driven by analytics and AI.

This book discusses the three key types of analytics―descriptive, predictive, and prescriptive―together with multiple methods and frameworks from the field of strategic management. Multiple international real-life case studies, examples, and business issues for further research illustrate the combinations of analytics, AI and strategic management. Theory review questions and exercises are included at the end of each chapter.

Sample topics discussed in Strategic Analytics include:

  • Managerial capabilities for a complex world―politics, economy, society, technology, and environment
  • External environments known as exogenous factors (PESTE) and endogenous factors (industry)
  • Industry dynamics, industry evolution, competitive advantage, dynamic resource management, organizational design, and performance measurement system
  • The life cycle of organizations, from start-ups to maturity for maintaining profitability and growth and finally regeneration

Aimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.

About the Author

MARTIN KUNC received his PhD from London Business School in Decision Science. He has built a distinguished career in business education and strategic consultancy. Currently, he serves as professor of Management Science at Southampton Business School, University of Southampton and holds visiting professorships at several other leading institutions. He is Editor-in-Chief of the Journal of the Operational Research Society and serves as an associate editor for several other academic journals. He is a member of the Operational Research Society and Arthur Andersen Alumni. Throughout his career, he has led consultancy projects addressing strategic challenges across a wide range of industries, contributing valuable insights and solutions to complex business problems.

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