3.2.2 Management decision making Flashcards

1
Q

4 what is opportunity cost

A

the benefit forgone for the next best alternative

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2
Q

4 what is scientific decision making

A

decision taken on the basis of analysis of data and evidence

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3
Q

4 what is big data

A

huge, often unstructured data sets that exceed the processing capacities of conventional data base systems

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4
Q

4 what is decision making

A

a specific commitment to an action
know what you are going to achieve
consider the next best alternative
commit resources to an action
uncertainty about outcome

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5
Q

4 what is a decision tree

A

a mathematical model to help managers make decisions
use estimates and probabilities to calculate outcomes
net gain is worth it, pictorial approach

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6
Q

4 how are decision trees helpful

A

quantify decision making
useful when outcomes are uncertain
place a numerical value on unlikely or potential outcomes
allows different courses to be taken

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7
Q

4 what is the expected value

A

financial outcomes from a specific course of action to allow for the probability of it occurring

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8
Q

4 what is net gains

A

expected value of a course of action minus cost associated with it

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9
Q

4 what is a square

A

decision

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10
Q

4 what is a circle

A

uncertain outcomes

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11
Q

4 how many options are there usually

A

choice 1 - most certain
choice 2 - alternative
choice 3 - do nothing

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12
Q

4 how do you get financial results

A

effect x probability

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13
Q

4 how do you get net gain

A

results - costs

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14
Q

4 what are the advantages of decision trees

A

useful for operational decision making
enables effective data use
probability allows flexibility
scientific analysis to decision making
encourage clear thinking

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15
Q

4 what are the disadvantages of decision trees

A

reliant on accuracy of data given
requires qualitative data to give complete picture
probability is only estimates
real time data problems

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16
Q

4 what is qualitative data

A

data in feedback, opinion format

17
Q

4 what is quantitative data

A

numbers and statistics

18
Q

5 what are the five steps of decision making?

A

setting objectives
gathering and interpreting information
selecting the chosen option
implementing decision
reviewing it

19
Q

5 what is scientific decision making

A

anything based on data

20
Q

5 advantages for scientific decision making?

A

remove bias as far as possible
reduce risk-based on well researched data
sets SMART targets
involves several people
doesn’t remove mistakes but limits impact

21
Q

5 disadvantages for scientific decision making?

A

slow process
lack creativity
fail to lead innovative approach
data can be unreliable
can be costly

22
Q

5 what is the marketing model?

A

example of how principles of scientific decision making can be applied to marketing decisions
applied in general to assist managers in planning and executing strategy

23
Q

5 what are decisions made on intuition

A

made on a hunch, or gut feeling

24
Q

5 what are the main forms of intuition decision

A

hunch
brain-storming
delphi-oracle technique

25
Q

5 what is a hunch

A

a managers gut feeling, intuition can be based on experience or spotting solutions

26
Q

5 what is brain-storming

A

a group of people with different specialisms making a team decision

27
Q

5 what is delphi-oracle technique

A

asking an expert in a particular field to make a recommendation

28
Q

5 why are intuition decisions good

A

used by small firms
experience allows this to be effective
quick decision making
more qualitative than quantitative
can be ill judged sometimes

29
Q

5 advantages of intuition decisions

A

cheaper
saves time
data in scientific could be biased or old
managers can use experts

30
Q

5 disadvantages of intuition decisions

A

no hard evidence
could be bias
lack of skills from manager
big decisions are risky

31
Q

5 what other factors influence decision making

A

risks
rewards
uncertainty
opportunity cost

32
Q

5 what is risks

A

all decision involve elements of risk and firms will have different views about how much risk they are willing to take

33
Q

5 what are rewards

A

decisions are usually in expectation of increased market share/ revenue/ profit/ efficiency etc. scale of reward should be considered

34
Q

5 what is uncertainty

A

not all information is present and there may be external factors that cannot predict the impact on the success

35
Q

5 what is opportunity cost

A

the benefit forgone for the next best alternative
have to consider what you have forgone as a result, not always a financial cost

36
Q

5 why is opportunity cost important

A

when resources are limited
make crucial decisions about where to spend money
take calculated risks and weigh up implications of it to decide what to do

37
Q

5 what is a decision tree

A

mathematical model that help decisions
estimates probabilities
net gain is worthwhile
different outcomes displayed

38
Q

5 advantages of decision trees

A

shows problem clearly and logically
full consideration
quantitative approach, computerised
risk and reward accounted for
used when similar scenarios occur
routine decisions, not strategic ones

39
Q

5 disadvantages of decision trees

A

ignore change in business nature
difficult to get accurate due to real data
management bias can influence
less useful for new decisions
some subjective elements, not just data
focus too much on financial return