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Business
3.2
decision making
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Created by
Freya
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Cards (22)
what is
intuition
?
judgement made on
qualitative
criteria
, perhaps experience and
strength
of market understanding
what is
short termism
?
a widespread tendency within a business to focus on short term results probably at the cost of
long term
success
what is
strategic decision
?
one that is made in
circumstances
of uncertainty and where the
outcome
will have a major impact on the
long term
future of the business
what is a
tactical decision
?
deciding what to do in
circumstances
that are immediate and where a mistake is unlikely to have a major impact on the
business
what is the
process
of decision making?
setting
objectives
gathering and
interpreting
data
selecting the chosen option
implementing
a decision
reviewing
what are the
2
approaches to decision making?
hunch
and
scientific
what is
hunch
?
based on
intuition
,
gut feel
and experience
quick and risky
what is
scientific
?
based on
data
time consuming and
costly
supported by
big data
what is a
programmed decision
?
familiar
and routine decision
what is a non familiar
programmed decision
?
less
structured
and require unique solutions
what are the key factors that influence
business decisions
?
business objectives
/ budgets
organisational structure
attitude to
risk
availability and reliability of data
the
external environment
what is an
expected value
?
these are the
forecast
actual values adjusted by the
probability
of their occurrence
what is
datas
role in decision making?
real time
data capture of transactions
responding to real time changes in
market conditions
market research
capacity management
inventory control
what are
net gains
?
subtracting the
initial outlay
from the expected value to find out whether or not a decision is to produce a
surplus
what is
probability
?
the likelihood of something occurring usually expressed as a
decimal
what is a
decision tree
?
a
mathematical model
used to help managers make decisions and uses estimates to calculate likely
outcomes
advantages of using
decision trees
choices are set out in a logical way
potential options are considered at the same time
use of
probabilities
enables the risk to be considered
tangible
results
disadvantages
of using
decision trees
probabilities
are just estimates
ignores
qualitative data
probabilities are prone to bias
doesn't necessarily reduce the
risk
why is
scientific decision making
becoming more popular?
more widespread availability of data
greater experience of
data analysts
examples of
internal stakeholders
employees
shareholders
examples of connected
stakeholders
customers
(by a receipt)
suppliers
banks/financial providers
examples of
external stakeholders
competitors
government
the
local community