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Management Decision Making: Chapter 2 Notes

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Principles of management chapter 2 notes
Principles of management (Princess Sumaya University for Technology)
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Chapte 2
Makin decision
B : Kind Kreisha
●
Th decisio -makin proces
Ste 1: Identif
Decision: making choices among
alternatives
↳ Managers at all levels and in all
areas of organizations make
decisions.
Problem: a discrepancy between
an existing and a desired
condition.
Unfortunately, in the real world problems
aren’t very obvious so managers need to
be very vigilant. Managers also have to be
cautious not to confuse problems with
symptoms of the problem.
The eight steps in the decision making
process:
proble
●
Ste 2: Identif decisio criteri
●
Decision criteria: criteria that
define what’s important or relevant
to solving a problem
Ste 3: Allocat weight t th criteri
Rarely are the relevant criteria equally
important. So the decision maker needs to
weigh the items in order to give them the
correct priority. How? A simple way is to
give the most important criteria a weight
of 10 and then assign weights to the rest
using that standard. Of course, you could
use any number as the highest weight.
The key is assessing the relative
importance of the criteria.
Ste 4: Develo alternative
The fourth step in the decision-making
process requires the decision maker to list
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viable alternatives that could resolve the
problem. In this step, a decision maker
needs to be creative, and the alternatives
are only listed - not evaluated just yet.
Ste 5: Analyz alternative
Once alternatives have been identified,
the decision maker must evaluate them.
How? By using the criteria developed in
step 2.
After you rate all the alternatives from 1-10
in every criterion, multiply the number by
the assigned weight. The total score for
each alternative, then, is the sum of the
weighted criteria.
Sometimes decision makers can skip this
step. If one alternative scores highest in
every criterion, you wouldn’t need to
consider the weights because that
alternative would already be the top
choice. Or, if the weights were all equal,
you could evaluate an alternative merely
by summing up the assessed values for
each one.
Ste 6: Selec a alternativ
The sixth step in the decision-making
process is choosing the best alternative or
the one that generated the highest total
in step 5.
Ste 7: Implemen th alternativ
In step 7, the decision is put into action by
conveying it to those affected and getting
their commitment to it.
Ste 8: Evaluat decisio e ectivenes
The last step in the decision-making
process involves evaluating the outcome
or result of the decision to see whether
the problem was resolved. If the
evaluation shows that the problem still
exists, then the manager needs to assess
what went wrong. Was the problem
incorrectly defined? Were errors made
when evaluating alternatives? Was the
right alternative selected but poorly
implemented.
Approache t decisio makin
Although everyone in an organization
makes decisions, decision making is
particularly important to managers. It’s
part of all four management functions.
The fact that almost everything a
manager does involves making decisions
are always time-consuming, complex, or
evident to an outside observer. Most
decisions are routine.
5 perspectives on how managers make
decisions:
Rationalit
Rational decision making:
describes choices that are logical
and consistent and maximize value
Managers should be rational. This for
example, should preclude allowing
emotions or expediency to influence their
choices.
- Assumptions of rationality
What does it mean to be a “rational”
decision maker? A rational decision maker
would be fully objective and logical. The
problem faced would be clear and
unambiguous, and the decision maker
would have a clear and specific goal and
know all possible alternatives and
consequences. Finally, making decisions
rationally would consistently lead to
selecting the alternative that maximizes
●
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the likelihood of achieving that goal.
These assumptions apply to any decision personal or managerial. However, for
managerial decision making, we need to
add one additional assumption - decisions
are made in the best interest of the
organization. These assumptions of
rationality aren’t very realistic. Managers
don’t always act rationally.
●
Intuitive decision making: making
decisions on the basis of
experience, feelings, and
accumulated judgement.
Bounde rationalit
Despite the unrealistic assumptions,
managers are expected to be rational
when making decisions. They understand
that “good” decision makers are supposed
to do certain things and exhibit logical
decision-making behaviors as they
identify problems, consider alternatives,
gather information, and act decisively but
prudently. When they do so, they show
others that they’re competent and that
their decisions are the result of intelligent
deliberation. However, a more realistic
approach to describing how managers
make decisions is the concept of bounded
rationality.
● Bounded rationality: decision
making that’s rational but limited
(bounded) by an individual’s ability
to process information.
Because they can’t possibly analyze all
information on all alternatives, managers
satisfice rather than maximize.
● Satisfice: solutions that are
satisfactory and sufficient or “good
enough”
They’re being rational within the limits
(bounds) of their ability to process
information.
Intuitio
Intuitive decision making can
complement both rational and bounded
rational decision making. First of all, a
manager who has had experience with a
similar type of problem or situation often
can act quickly with what seems to be
limited information because of that past
experience. In addition, evidence indicates
that individuals who experienced intense
feelings and emotions when making
decisions actually achieved higher
decision-making performance, especially
if they understood their feelings while
making those decisions.
Evidenc -base managemen
Any decision-making process can be
enhanced through the use of relevant and
reliable evidence. That’s the reasoning
behind evidence-based management
(EBMgt)
● Evidence-based management
(EBMgt): the systematic use of the
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best available evidence to improve
management practice.
That evidence might be hard computer
data, opinions of experts, or the prior
experience of colleagues. In essence,
EBMgt is an attempt to operationalize
rationally.
The 4 essential elements of EBMgt:
- The decision maker's expertise and
judgment
- External evidence that’s been
evaluated by the decision maker
- Opinions, preferences, and values
of those who have a stake in the
decision
- Relevant organizational (internal)
factors such as context,
circumstances, and organizational
members
The strength or influence of each of these
elements on a decision will vary with each
decision. Sometimes, the decision maker’s
intuition might be given greater emphasis
in the decision; other times it might be
the opinions of stakeholders; and at other
times, it might be ethical considerations.
The key for managers is to recognize and
understand the mindful, conscious choice
as to which elements are most important
and should be emphasized in making a
decision.
Crowdsourcin
Crowdsourcing: relying on a
network of people outside the
organization’s traditional set of
decision makers to solicit ideas via
the internet.
Finding innovative solutions to problems
is one of several uses of crowdsourcing in
organizations. Crowdsourcing can help
managers gather insights from
customers, suppliers, or other groups to
help make decisions such as what
●
products to develop, where they should
invest, or even who to promote. Powered
by the collective experiences and ideas of
many, crowdsourcing can help managers
make better-informed decisions by
getting diverse input from sources
outside the typical management
hierarchy.
Type of decision
Structure problem an programme
decision
Structured problems:
Straightforward, familiar, and easily
defined problems.
● Programmed decision: a repetitive
decision that can be handled by a
routine approach.
When a problem is structured the
“develop-the-alternatives” stage of the
decision-making procedure either doesn’t
exist or is given very little attention. Why?
Because once the structured problem is
identified, the solution is usually
self-evident or at least reduced to a few
alternatives that are familiar and have
proved successful in the past. Structured
problems don't require managers to
develop and weigh decision criteria.
Instead, the manager relies on one of
three types of programmed decisions:
procedure, rule, or policy.
● Procedure: a series of sequential
steps used to respond to a
well-structured problem.
The only difficulty with procedures is
identifying the issue. Once it's identified,
the procedure is clear.
● Rule: an explicit statement that
tells managers what can and
cannot be done.
●
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Rules are often used because they’re
simple to follow and ensure consistency.
● Policy: a guideline for making
decisions.
In contrast to a rule, a policy defines the
general parameters for a decision maker
rather than explicitly stating what can and
cannot be done. Policies usually contain
an ambiguous term that leaves
interpretation up to the decision maker.
Unstructure problem an
nonprogramme decision .
Unstructured problems: problems
that are new or unusual and for
which information is ambiguous
and incomplete.
When problems are unstructured,
managers must rely on nonprogrammed
decision making in order to develop
unique solutions.
● Nonprogrammed decisions:
unique and nonrecurring decisions
that require a custom-made
solution.
●
Comparin decisio type
- Type of problem
↪ Programmed decision: Structured
↪ Nonprogrammed decision:
Unstructured
- Managerial level
↪ Programmed decision: Lower levels
↪ Nonprogrammed decision: Upper levels
- Frequency
↪ Programmed decision: Repetitive,
routine
↪ Nonprogrammed decision: New,
unusual
- Information
↪ Programmed decision: Readily available
↪ Nonprogrammed decision: Ambiguous
or incomplete
- Goals
↪ Programmed decision: Clear, specific
↪ Nonprogrammed decision: Vague
- Time frame for solution
↪ Programmed decision: Short
↪ Nonprogrammed decision: Relatively
long
- Solution relies on…
↪ Programmed decision: Procedures,
rules, policies
↪ Nonprogrammed decision: Judgement
and creativity.
Decisio -makin style
Research on decision styles has identified
four different individual approaches to
making decisions. People differ along two
dimensions. One of these dimensions is
an individual’s way of thinking. Some of us
tend to be more rational and logical in the
way we think or process information.
Rational types look at information in order
to make sure it’s logical and consistent
before proceeding to make a decision.
Others tend to be more creative and
intuitive. Intuitive types don’t have to
process information in a certain order but
are comfortable looking at it as a whole.
The other dimension describes an
individual’s tolerance for ambiguity. Again,
some of us have a low tolerance for
ambiguity and prefer order and certainty
in the way we structure information so
ambiguity is minimized. In contrast, some
of us can tolerate high levels of ambiguity
and can process many thoughts at the
same time.
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When these two dimensions are
diagrammed, they form four styles of
decision-making. These are directive,
analytic, conceptual, and behavioral.
-
-
Individuals with a conceptual style
tend to be very broad in their
outlook and consider many
alternatives. Their focus is long
range and they are very good at
finding creative solutions to
problems.
The behavioral style categorizes
decision makers who work well
with others. They’re concerned
with the achievement of peers and
those working for them and are
receptive to suggestions from
others, relying heavily on meetings
for communication. This type of
manager tries to avoid conflict and
seeks acceptance from others.
Decisio -makin biase an erro
-
-
The directive style has low
tolerance for ambiguity and seeks
rationality. They are efficient and
logical. They are efficient and
logical, but their efficiency
concerns result in decisions being
made with minimal information
and with few alternatives assessed.
Directives make decisions fast and
they focus on the short run.
The analytic type has a much
greater tolerance for ambiguity
than do directive decision makers.
This means that analytic types are
more comfortable than directives
when uncertainty is involved in a
decision. Analytic managers would
be best characterized as careful
decision makers with the ability to
adapt or cope with new situations.
When managers make decisions they
may use shortcuts or heuristics.
● Heuristics: shortcuts that
managers use to simplify or speed
up decision making.
Heuristics can be useful because they
make sense of complex, uncertain, and
ambiguous information. However,
sometimes they may lead to errors and
biases in processing and evaluating
information.
Decision-making errors and biases:
1- When decision makers think they know
more than they do or hold unrealistically
positive views of themselves and their
performance, they’re exhibiting the
overconfidence bias.
2- The immediate gratification bias
describes decision makers who want
immediate rewards and would like to
avoid immediate costs. For those
individuals, decision choices that provide
quick payoffs are more appealing than
those with payoffs in the future.
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3- The anchoring effect describes how
decision makers fixate on initial
information as a starting point and then,
once set, fail to adequately adjust for
subsequent information.
4- when decision makers selectively
organize and interpret events based on
their biased perceptions, they’re using the
selective perception bias.
5- Decision makers who seek out
information that reaffirms their past
choices and discounts information that
contradicts past judgement exhibit the
confirmation bias.
6- The framing bias occurs when decision
makers select and highlight certain
aspects of a situation while excluding
others. They distort what they see and
create incorrect reference points.
7- The availability bias happens when
decision makers tend to remember events
that are not recent and vivid in their
memory.
8- When decision makers assess the
likelihood of an event based on how
closely it resembles other events or sets of
events, that’s the representation bias.
Managers exhibiting this bias draw
analogies and see identical situations
where they don’t exist.
9- The randomness bias explains the
actions of decision makers who try to
make meaning out of random events.
10- The sunk costs error occurs when
decision makers forget that current
choices can’t correct the past.
11- Decision makers who are quick to take
credit for their successes and to blame
failure on outside factors are exhibiting
the self-serving bias.
12- The hindsight bias is the tendency for
decision makers to falsely believe that
they would have accurately predicted the
outcome of an event once that outcome is
actually known.
Managers avoid the negative effects of
the biases and errors by:
- Being aware of them and not using
them.
- Training
- Be aware of the heuristics they use
and evaluate their appropriateness.
- Ask trusted individuals to point out
their weaknesses in their
decision-making style and work on
those weaknesses.
Cu in -edg approache fo improvin
decisio makin
The last 20 years has seen a dramatic
change in the ability of management to
access information. A major impetus for
this change has been technology.
Desig thinkin
The way managers approach decision
making - using a rational and analytical
mindset in identifying problems, coming
up with alternatives, evaluating
alternatives, and choosing one of those
alternatives - may not be the best, and is
certainly not the only choice in today’s
environment. That’s where design
thinking comes in
● Design thinking: approaching
management problems as
designers approach design
problems.
To think like a designer means to consider
how an object or process might be
redesigned - sometimes to the point of
being completely redone.
Design thinking means opening up your
perspectives and gaining insights by
using observation and inquiry skills and
not relying simply on rational analysis.
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Bi dat an a tificia intelligenc
Big data: huge and complex sets of
data.
These data sets are composed of so much
information that traditional
data-processing application software i
unable to deal with them
Big data has opened the door to
widespread use of artificial intelligence
(AI).
● Artificial intelligence: using the
power of computers to replicate
the reasoning functions of
humans.
AI increasingly facilitates machine
learning and deep learning.
● Machine learning: a method of
data analysis that automates
analytical model building.
It’s a branch of AI based on the idea that
systems can learn from data, identify
patterns, and make decisions with little or
no human assistance.
● Deep learning: use of algorithms to
create a hierarchical level of
artificial neural networks that
simulate functions of the human
brain.
This enables machines to process data in
a nonlinear fashion.
● Analytics: Mathematics, statistics,
predictive modeling, and machine
learning to find meaningful
patterns and knowledge in a date
set.
We can state unequivocally that AI usage
among all businesses is sure to expand in
the near future. And with this trend
toward using technology to access and
interpret information, managers will be
less dependent on inconsistent and
incomplete data. There will be less need
to rely on intuition. AI software can learn
through experience, so decisions will
●
increasingly reflect the goals and values of
the manager. The result will be
managerial decisions that more closely
approach the assumptions of rationality.
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