3.2.2 Management decision making Flashcards

(39 cards)

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
5 what is a hunch
a managers gut feeling, intuition can be based on experience or spotting solutions
26
5 what is brain-storming
a group of people with different specialisms making a team decision
27
5 what is delphi-oracle technique
asking an expert in a particular field to make a recommendation
28
5 why are intuition decisions good
used by small firms experience allows this to be effective quick decision making more qualitative than quantitative can be ill judged sometimes
29
5 advantages of intuition decisions
cheaper saves time data in scientific could be biased or old managers can use experts
30
5 disadvantages of intuition decisions
no hard evidence could be bias lack of skills from manager big decisions are risky
31
5 what other factors influence decision making
risks rewards uncertainty opportunity cost
32
5 what is risks
all decision involve elements of risk and firms will have different views about how much risk they are willing to take
33
5 what are rewards
decisions are usually in expectation of increased market share/ revenue/ profit/ efficiency etc. scale of reward should be considered
34
5 what is uncertainty
not all information is present and there may be external factors that cannot predict the impact on the success
35
5 what is opportunity cost
the benefit forgone for the next best alternative have to consider what you have forgone as a result, not always a financial cost
36
5 why is opportunity cost important
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
5 what is a decision tree
mathematical model that help decisions estimates probabilities net gain is worthwhile different outcomes displayed
38
5 advantages of decision trees
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
5 disadvantages of decision trees
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