Strategic Analytics

Enables organisations 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. It explains how AI will shape managerial capabilities and the process of strategic planning, showcasing the support AI can provide to this process. The text includes numerous updates to critical subjects, including sustainability and the UN Sustainable Development Goals, stakeholder management, soft aspects of organisations (including people, culture, and values), and organisational change driven by analytics and AI.

This book discusses the three key types of analytics—descriptive, predictive, and prescriptive—alongside 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, organisational design, and performance measurement systems
• The life cycle of organisations, 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.