Business Decisions and Strategy
ESSENTIAL OVERVIEW
“This unit focuses on the analytical frameworks and quantitative techniques used by management to formulate and implement long term corporate strategies. It involves assessing competitive environments, evaluating investment risks, and managing the complexities of organisational growth and change to ensure sustainable competitive advantage.“
CRUCIAL KEYWORDS
Corporate Strategy
The overarching scope and direction of a business, determined by senior management to achieve long term goals.
Synergy
The concept that the value and performance of two companies combined will be greater than the sum of the separate individual parts.
Strategic Drift
A situation where a firm’s strategy gradually becomes less relevant to the changing environment in which it operates.
Investment Appraisal
The process of using quantitative techniques to determine if a capital investment project is worthwhile.
Core Processes & Theories
1) Ansoff’s Matrix
A strategic tool that identifies four growth strategies: market penetration, product development, market development, and diversification, based on new or existing products and markets.
2) Porter’s Generic Strategies
A framework suggesting businesses can achieve competitive advantage through three routes: cost leadership, differentiation, or focus (niche) strategies.
3) Decision Trees
A mathematical model used to help managers make decisions by calculating the expected value of different outcomes based on probability.
CASE STUDY EVIDENCE
- Amazon’s acquisition of Whole Foods in 2017 represented a move towards diversification and vertical integration to secure physical retail space.
- Nokia failed to adapt to the smartphone revolution, illustrating strategic drift as Apple and Samsung captured the market with touch-screen technology.
EXAM ESSENTIALS
- When evaluating investment appraisal, always consider non-financial factors such as staff morale, environmental impact, and brand reputation (AO4).
- Remember that Decision Trees rely on estimated probabilities; if the data input is biased or inaccurate, the outcome will be flawed.