PGDM Core Subject

Strategic Management

Course Objective

Strategic Management

 

Course Objective

This course provides a comprehensive understanding of strategic management concepts, processes, and frameworks with an integrated focus on AI and analytics. It enables students to analyze business environments, formulate corporate and business-level strategies, and implement and control strategies using data-driven insights, sustainability principles, and real-time decision-support systems.

 

Learning Outcomes

  • By the end of this course, students will be able to:
  • Analyze internal and external business environments using strategic frameworks supported by analytics
  • Formulate corporate-level and business-level strategies using data-driven and AI-enabled approaches
  • Apply strategic planning, implementation, and control tools to real-world business cases and simulations
  • Use analytics dashboards, performance metrics, and predictive tools for strategic decision-making
  • Evaluate strategic outcomes and recommend corrective actions using strategic evaluation and control technique

Syllabus

Session

Syllabus Topic

Book Chapter (Azhar Kazmi)

Pages

AI & Analytics Integration (Added to Each Unit)

1

Introduction and Evolution of Strategic Management

Ch. 1 – Introduction to Strategic Management

pp. 3–28

Role of AI in the evolution of strategic thinking; use of data-driven strategy vs intuition-based strategy; introduction to AI as a strategic enabler

2

Long Range Planning, Strategic Planning, Strategic Management for Sustainability

Ch. 2 – Hierarchy of Strategic Intent; Ch. 3 – Strategic Management for Sustainability

pp. 29–54, 55–76

Predictive analytics for long-term planning.

3

Understanding Business, Competitor Analysis, Porter’s Five Forces Analysis

Ch. 4 – Environmental Appraisal

pp. 77–134 (Porter’s 5 Forces: pp. 119–124)

AI-based competitive intelligence, market sensing, and industry analytics; data-driven assessment of competitive forces

4

Strategic Decision Making, Strategic Intent, Balanced Scorecard

Ch. 2 – Hierarchy of Strategic Intent; Balanced Scorecard (Exhibit 2.7 & 2.8)

pp. 29–54; 44–47

Decision intelligence systems; AI-driven Balanced Scorecards; real-time KPI tracking and predictive performance analytics

5

Strategic Planning Process, Approaches to Strategy, Planning Process

Ch. 9 – Strategic Analysis and Choice

pp. 273–306

Analytics-supported strategy formulation.

6

CASE

—

—

Case analysis using tools for data interpretation, pattern recognition, and strategic recommendations

7

Corporate Level Strategies

Ch. 6 – Corporate-Level Strategies

pp. 167–208

Portfolio analytics for diversification decisions; 

8

SIMULATION

—

—

Business strategy simulation using analytics dashboards designed by Taxila Business School; AI-supported decision-making under competitive environments

9–10

Business Level Strategies

Ch. 7 – Business-Level Strategies

pp. 209–238

Cost analytics, pricing analytics, and AI-enabled differentiation strategies; competitive positioning using data

11

CASE

—

—

Application of analytics frameworks for business-level strategy evaluation

12

Boston Matrix, Benchmarking, McKinsey’s 7S Framework

Ch. 8 – Methods for Pursuing Strategies

pp. 239–272 (BCG: 248–252; 7S: 266–270)

Data-driven BCG Matrix classification; AI-enabled benchmarking; analytics-based organizational alignment using 7S framework

13

Environmental Analysis, PESTLE, SWOT, Value Chain, Organizational Appraisal

Ch. 4 – Environmental Appraisal; Ch. 5 – Organisational Appraisal

pp. 77–134; 135–166 (Value Chain: 152–156)

PESTLE scanning; SWOT supported by data analytics; value chain cost and efficiency analytics

14

CASE

—

—

Strategic diagnosis using Metrices.

15

Strategy Implementation

Ch. 10 – Activating Strategies

pp. 307–334

Analytics-based implementation planning.

16

Structural Implementation

Ch. 11 – Structural Implementation

pp. 335–364

Organizational design analytics.

17

CASE

—

—

Evaluation and strategic execution analysis

18

Functional Implementation

Ch. 13 – Functional & Operational Implementation

pp. 407–436

Functional analytics (marketing, finance, HR, operations); 

19

Behavioural Implementation

Ch. 12 – Behavioural Implementation

pp. 365–406

Workforce analytics; AI-supported change management and behavioural diagnostics

20

Control Process, Techniques of Strategic Evaluation and Control

Ch. 14 – Strategic Evaluation and Control

pp. 437–468

Predictive variance analysis; real-time performance dashboards.

Textbook & Resources

Primary Textbook:

  • Strategic Management and Business Policy – Azhar Kazmi

Primary Tools & Techniques:

  • Porter’s Five Forces, SWOT, PESTLE, Value Chain Analysis
  • Balanced Scorecard, BCG Matrix, McKinsey 7S Framework
  • Analytics Dashboards, Decision Intelligence Systems, Business Strategy Simulations (Taxila Business School)

Recommended Reading:

  • Exploring Strategy – Johnson, Scholes & Whittington
  • Competitive Strategy – Michael E. Porter