2.2 Understanding Management Decision Making Flashcards
Two broaded approaches to decision making
Intuition:
Gut feel and exp
Quicker!
Hard to justify for a business decision involving significant risks
Scientific:
Based on data and analysis
Downside: time consuming & costly; no guarantee of the right decision
Common and automated by Big data and analytics
Scientific decision making
Involves data/evidence and adopts systematic approach rather than intuition
Key considerations for decision making
Risk
Reward
Uncertainty
Opportunity cost
Importance of opportunity costs
For most start-up businesses, resource are limited
When resources are scarce, significant decisions on what to spend or what to focus becomes significantly risky
Opportunity costs: is the calculated risk and weight up of the potential implications of decision
Decision tree
A mathematical model
Used to help managers make decisions
Uses probability and estimates likely outcomes
Helps to decide if the net-worth is worthwhile
What is a probability?
The percentage chance of something happening
Ranges between 1 (100%) and 0
If all the outcomes are considered it must add up to 1
Decision tree (Key terms)
LOOK AT HOW TO DO A DECISION TREE
Expected value: the financial value of an outcome calculated by multiplying the estimated financial effect by it’s probability
Net gain: the calculated value gained by taking a decision
Calculation: add together expected value of each outcome - costs associated
Benefits of a Decision tree
Choices are set out on a logical way
Potential options & choices are considered at the same time
Use of probabilities enables risks to be assessed
Likely costs and financial benefits are considered
Easy to understand and tangible results
Downsides of a Decision tree
Probably are just estimates they are prone to **errors*
Uses quantitative data only and not qualitative data for the aspects of the decision
Decision making does not necessarily reduce the amount of risks
Influences on decision making
Mission
Objectives
Ethics
The external environment and competition
Resource constraints