2.2.1

Scientific Decision Making

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Decision Making

Decisions can be made using different approaches. Either using scientific data, or based upon past experiences.

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Methods to make decisions

  • When decisions are made, managers can use different approaches to support them:
    • Decisions can be made scientifically using data available to the manager.
    • Decisions can be made based upon intuition and the experiences of a manager.
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Advantages of scientific decision making

  • Scientific decision making reduces the risk of making mistakes as decisions are based on data.
  • Another advantage is that using data provides guidance for managers who may have limited intuition through lack of experience.
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Disadvantages of scientific decision making

  • Scientific decision making can be time-consuming to collect the data required.
  • Relying on data may mean that the experience or expertise of staff may not be considered.
  • Using out of date or poor data is unreliable and can affect the quality of the decision made.
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Factors influencing decision making

  • The availability and reliability of data are essential if a manager chooses to use scientific decision making. If data is not available, the scientific decision-making approach cannot be used.
  • The manager’s experience is vital, as inexperienced managers are more likely to use scientific decision making because they have no experience or expertise.
  • The risk that a business is willing to accept is crucial. Scientific decision making typically carries less risk so suits businesses that are less willing to accept risk.
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Decision trees

  • If managers choose to adopt a scientific decision making approach, they can use a decision tree to help them. A decision tree allows a business to compare outcomes of two or more options or decisions.
  • A decision tree will examine the probability of each outcome for each decision made.
  • A decision tree will multiply the probability with each outcome to calculate an estimated value (EV) for each option or decision being considered.

Example of Decision Making

Imagine a restaurant is deciding whether to expand (option 1) or open a new location (option 2). Here, a decision tree can be used to examine the range of possible outcomes.

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Option 1

  • In option 1, there may be a 70% chance of receiving a £10,000 pay-off or a 30% chance of a £20,000 pay-off.
  • To calculate the EV for option 1:
    • Multiply 0.70 (probability expressed as a decimal) by £10,000 to get £7,000.
    • Multiply 0.30 (probability expressed as a decimal) by £20,000 to get £6,000.
  • Using these probabilities and outcomes, the estimated value (EV) of option 1 is £13,000.
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Option 2

  • In option 2, there may be a 20% chance of receiving a £7,000 pay-off or an 80% chance of a £15,000 pay-off.
  • To calculate the EV for option 2:
    • Multiply 0.20 (probability expressed as a decimal) by £7,000 to get £1,400
    • Multiply 0.80 (probability expressed as a decimal) by £15,000 to get £12,000
    • Using these probabilities and outcomes, the estimated value (EV) of option 2 is £13,400
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Conclusion

  • Comparing estimated values for option one and two, scientifically it can be seen that option 2 is probably the best course of action for the manager to take based on the data available.

Jump to other topics

1What is Business?

2Managers, Leadership & Decision Making

3Decision Making to Improve Marketing Performance

4Decision Making to Improve Operational Performance

5Decision Making to Improve Financial Performance

6Improving Human Resource Performance

7Analysing the Strategic Position of a Business

8Choosing Strategic Direction

9How to Pursue Strategies

10Managing Strategic Change

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