Strategic Analytics

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.