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Principles of Management
Dr. Karim Kobeissi
Islamic University of Lebanon - 2013
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4Chapter
Foundations
ofDecisionMaking
4-2
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Learning Objectives
Describe the decision making process.
Explain the three approaches managers can
use to make decisions.
Describe the types of decisions and decision-
making conditions managers face.
Discuss group decision making. Discuss contemporary issues in managerial
decision making.
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Introduction
Although everyone makes decisions in an organization, decision
making is particularly important to managers and is part of all four
managerial functions, as seen in the next slide.
Most decision making is routine, such as deciding which employee
will work which shift or how to resolve a customers complaint.
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The Decision Making Process
Decision making is a basic part of every task a manager is involved, and it can
be viewed as an eight-step process that includes:
Step 1: Identification of a problem.
Step 2: Identification of Decision Criteria.
Step 3: Allocation of Weights to Criteria.
Step 4: Development of Alternatives.
Step 5: Analysis of Alternatives.
Step 6: Selection of an Alternative.
Step 7: Implementation of the Alternative.
Step 8: Evaluation of Decision Effectiveness.
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Step 1 : Identification of a Problem
ProblemA discrepancy between an existing and a desired state of affairs.
How do managers become aware of such a discrepancy? They have to
compare the current state of affairs with some standard, which can be past
performance, previously set goals, or the performance of another unit
within the organization or in another organization. If, for example, a car is
no longer worth repairing, then the best decision may be to purchase
another car.
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Step 2: Identification of Decision Criteria
Once a manager has identified a problem that needs attention, he or she must identify
the decision criteria that will be important in solving the problem. In the case of
replacing ones car, the cars owner assesses the relevant criteria, which might include:
Price
Model (two-door or four-door)
Size (compact or intermediate)
Manufacturer (Japanese, South Korean, German, or American)
Optional equipment (navigation system or side-impact protection)
Fuel economy
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Step 3: Allocation of Weights to Criteria
In many decision-making situations, the criteria are not equally important, so its
necessary to allocate weights to the items listed in Step 2 to factor their relative
priority into the decision.
A simple approach is to give the most important criterion a weight of 10 and then
assign weights to the rest of the criteria against that standard to indicate their
degree of importance. Thus, a criterion that you gave a 5 is only half as important
as the highest-rated criterion.
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Step 4: Development of Alternatives
In Step 4, the decision maker lists the alternatives that could resolve theproblem. The decision maker only lists the alternatives and does not attempt to
appraise them in this step. Lets assume that our subject has identified 12 cars asviable choices:
Jeep Compass
Ford Focus
Hyundai ElantraFord Fiesta SES
Volkswagen Golf
Toyota Prius
Mazda 3 MT
Kia Soul
BMW 335
Nissan Cube
Toyota Camry
Honda Fit Sport MT.
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Step 5: Analyze of Alternatives
Once the alternatives have been identified, the decision maker moves to Step 5
that is, critically analyzing each alternative by appraising it against the criteria. The
strengths and weaknesses of each alternative become evident when compared with
the criteria and weights established in Steps 2 and 3.
In Exhibit 4-3 we see the assessed values that the subject put on each of her 12
alternatives after having test-driven each car. Some assessments can be achieved
objectively, such as the best purchase price; however, the assessment of how the car
handles is clearly a personal judgment. Most decisions contain judgments and these
judgments are reflected in which criteria is chosen in Step 2, the weights given to those
criteria, and the evaluation of alternatives.
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Step 6: Selection of an Alternative
Step 6 is the critical act of choosing the best alternative from among those
assessed. Since we determined all the pertinent factors in the decision, weighted
them appropriately, and identified the viable alternatives, we choose the
alternative that generates the highest score in Step 5.
In our vehicle example (shown in Exhibit 4-4) the decision maker would choose the
Toyota Camry. On the basis of the criteria identified, the weights given to the
criteria, and the decision makers assessment of each car based on the criteria, the
Toyota scored highest with 224 points and thus became the best alternative.
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Step 7: Implementation of the Alternative
Although the choice process is now complete, the decision may still
fail ifits not implemented properly.
Step 7 involves conveying the decision to those affected and to
obtaining their commitment. The people who must carry out a
decision are more likely to enthusiastically endorse the outcome if
they participate in the decision-making process.
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Step 8: Evaluation of Decision Effectiveness
In Step 8, the last step in the decision-making process, managers
appraise the result of the decision to see whether the problem was
resolved. Did the alternative chosen in Step 6 and implemented in
Step 7 accomplish the desired result? Evaluating the results of a
decision is part of the managerial control process.
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Common Errors
When managers make decisions, they not only use their own particular style but also
may use rules of thumb or judgmental shortcuts called heuristics to simplify theirdecision making.
Heuristics help make sense of complex, uncertain, and ambiguous information.
However, rules of thumb are not necessarily reliable and can lead managers into error
while processing and evaluating information.
In Exhibit 4-5, we see 12 common decision errors and biases:
1. Overconfidence occurs when decision makers think they know more than they do
or hold unrealistically positive views of themselves and their performance.
2. Immediate gratification describes decision makers who want immediate rewards
but want to avoid immediate costs. For these individuals, decision choices that
provide quick payoffs are more appealing than those with payoffs in the future.
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Common Errors (con)
3. The anchoring effect describes when decision makers fixate on initial
informationsuch as first impressions, ideas, prices, and estimatesand
then fail to adequately adjust for subsequent information.
4. Selective perception occurs when decision makers organize and interpret
events based on their biased perceptions, which influence the information
they pay attention to, the problems they identify, and the alternatives they
develop.
5. Confirmation bias describes decision makers who seek out information that
reaffirms their past choices and who discount information that contradicts
past judgments. Such people tend to accept, at face value, information that
confirms their preconceived views and are critical and skeptical of information
that challenges these views.
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Common Errors (con)
6. The framing bias occurs when decision makers select and highlight certain
aspects of a situation while excluding others. By drawing attention to specific
aspects of a situation and highlighting them, they downplay or omit other
aspects, distort what they see, and create incorrect reference points.
7. The availability bias occurs when decision makers focus on events that are
the most recent and vivid in their memory. As a result, their ability to recall
events objectively results in distorted judgments and probability estimates.
8. Representation bias describes how decision makers assess the likelihood of
an event based on how closely it resembles other events and then draw
analogies and see identical situations where they dont necessarily exist.
9. The randomness bias describes when decision makers try to create meaning
out of random events.
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Common Errors (con)
10. The sunk costs error occurs when decision makers forget that current
choices cant correct the past. They incorrectly fixate on past expenditures oftime, money, or effort rather than on future consequences when they assess
choices.
11. Decision makers exhibiting self-serving bias take credit for their successes
and blame failures on outside factors.
12. Finally, 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.
Awareness of these biases helps managers to avoid their negative effects and
can encourage them to ask colleagues to identify weaknesses in their decision
making style that the managers can then self-correct.
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The Three Approaches Managers Use to making decisions
Managers can use three approaches to making decisions:
1. Rational decision making
2. Bounded rational decision making
3. Intuition
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The Rational Model
In a perfect world, being a rational decision maker means being fully
objective and logical. The problem to be addressed would be clear-
cut and the decision maker would have a specific goal and anticipate
all possible alternatives and consequences. Ultimately, making
decisions rationally would consistently lead to selecting the
alternative that maximizes the likelihood of achieving that goal.
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Bounded Rationality
Since most decisions that managers make dont fit the assumptions
of perfect rationality, a more realistic approach to describing how
managers make decisions is the concept ofbounded rationality. This
means that managers make decisions rationally but are limited (or
bounded) by their ability to process information. Because they cant
possibly analyze all information on all alternatives, managers
satisfice, rather than maximize. That is, they accept solutions thatare good enough.
The decision making is also influenced by the organizations culture,
internal politics, power considerations, and escalation ofcommitment, which is an increased commitment to a previous
decision despite evidence that it may have been wrong.
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Intuition in Decision Making
Intuitive decision making involves making decisions on the basis of
experience, feelings, and accumulated judgment, which can
complement both rational and bounded rational decision making.
Researchers have identified five different aspects of intuition,
described in Exhibit 4-7.
Accordingly, we have:
Affective based decisions
Cognitive based decisions
Experiences based decisions Subconscious based decisions
Ethical or Values based decisions
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Types of Problems
Problems can be divided into two categories:
1) Structured problem A straightforward, familiar, and easily
defined problem. Examples include a customer who wants to
return an online purchase or a TV news team that has to respond
to a fast-breaking event.
2) Unstructured problem A problem that is new or unusual for
which information is ambiguous or incomplete. Entering a new
market segment or deciding to invest in an unproven technology
are examples of unstructured problems.
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Types of Decisions
As do problems, decisions can also be divided into two categories:
1) Programmed decisionsRepetitive decisions that can be
handled using a routine approach.
Programmed, or routine, decision making is the most efficient way
to handle structured problems. For example, what does a
manager do if an auto mechanic damages a customers rim while
changing a tire? Because the company probably has a
standardized method for handling this type of problem, itsconsidered a programmed decision, which tends to rely heavily
on previous solutionssuch as replacing the rim at the
companys expense.
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Types of Decisions (con)
2) Nonprogrammed decisionsUnique and nonrecurring decisions;
require a custom-made solution. Nonprogrammed decisions are
used to handle unstructured problems. Examples of
nonprogrammed decisions include deciding whether to acquire
another organization or to sell off an unprofitable division.
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Problems, Decision Types, and Organizational Levels
Exhibit 4-8, seen here,
describes the
relationship among types
of problems, types of
decisions, and ones level
in the organization.
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Problems, Decision Types, and Organizational Levels (con)
Lower-level managers usually confront familiar and repetitive problems
and typically rely on programmed decisions, such as standard operating
procedures. As managers move up the organizational hierarchy, problems
are likely to become less structured.
However, few managerial decisions are either fully programmed or fully
nonprogrammed. This means that few programmed decisions eliminate
individual judgment completely and even the most unusual situation
requiring a nonprogrammed decision can often be helped by programmed
routines.
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Decision Making Conditions
When making decisions, managers may face three different conditions:
certainty, risk, and uncertainty.
1) Certainty - An ideal situation for the decision maker to make accurate
decisions because the outcome of every alternative is known.
2) Risk - A situation where the decision maker is able to estimate the
likelihood of certain outcomes based on data from past personal
experiences or secondary information that lets the manager assign
probabilities to different alternatives.
3) Uncertainty A situation where a decision maker has neither certainty
nor reasonable probability estimates available.
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H D G M k D i i ?
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How Do Groups Make Decisions?
Many decisions in organizations, especially important decisions that have
far-reaching effects on organizational activities and personnel, are typically
made in groups such as:
Committees
Task forces
Review panels
Work teams
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G D i i M ki B fi
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Group Decision Making: Benefits
Group decision-making have their own sets of strengths such as:
Provides more complete information than an individual can,
bringing diversity of experiences and perspectives to the decision
process.
Generates more alternatives than a single individual can.
Quantities and diversity of information are greatest when group
members represent different specialties.
Increases legitimacy and acceptance of a solution because
group decisions may be perceived as more democratic and
legitimate than decisions made by a single person.
G D i i M ki D b k
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Group Decision Making: Drawbacks
Alternatively group decision-making have their own sets of weaknesssuch as:
Group decisions are time-consuming and theinteraction that takesplace after the group is organized is frequently inefficient.
Groups are occasionally subject to domination by a minority of
members whose rank, experience, knowledge about the problem,influence on other members views, which often leads to inefficientinteraction.
Groupthink is a response to pressures to conform in groups inwhich group members withhold deviant, minority, or unpopularviews to give the appearance of agreement.
Occasionally group members share responsibility without anyonetaking responsibility for the final decision which creates a situationofambiguous responsibility in case of dissatisfying consequences.
Wh A G M t Eff ti ?
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When Are Groups Most Effective?
Whether groups are more effective than individuals dependson thecriteria used for defining effectiveness, such as accuracy, speed,
creativity, and acceptance.
Individuals are faster at decision making.
Groups tend to be more accurate, make better decisions, be
more creative, and be more effective in terms of acceptance ofthe final solution.
With few exceptions, group decision making consumes morework hours than individual decision making does.
Ultimately, primary consideration must be given to assessingwhether increases in effectiveness outweigh the losses inefficiency.
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C t I
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Contemporary Issues
Research shows that decision-making practices differ from countryto country and two examples of decision variables that reflect a
countrys national cultural environment are:
The way decisions are made, whether by group or teammembers, participatively (e.g., in Japan), or autocratically by an
individual manager (e.g., in Lebanon).
The degree of risk a decision maker is willing to take.
Decision makers also need creativity: the ability to produce noveland useful ideas. These ideas are different from whats been donebefore but are also appropriate to the problem or opportunitypresented.
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Quantitative Module
Quantitative
Decision-MakingAids
Payoff Matrices
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Payoff Matrices
Uncertainty affects decision making by limiting the amount ofinformation available to managers and exploiting their psychological
orientation.
For instance, the optimistic manager typically follows a maximaxchoice (that is, maximizing the maximum possible payoff); thepessimist will often pursue a maximin choice(that is, maximizing the
minimum possible payoff); and the manager who desires tominimize his regret will opt for a minimax choice.
Lets look at these different approaches using an example of amarketing manager promoting the Visa card throughout the
northeastern United States who has determined four possiblestrategies: S1, S2, S3, and S4. He is also aware that one of his majorcompetitors, American Express, has three competitive strategiesCA1, CA2, and CA3for promoting its own card in the same region.
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Payoff Matrices
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Payoff Matrices
We assume that the Visa executive has no previous knowledge that allows him to place
probabilities on the success of any of his four strategies. With these facts, the Visa card manager
formulates the matrix seen here in Exhibit QM1 to show the various Visa strategies and the
resulting profit to Visa, depending on the competitive action chosen by American Express.
1. If our Visa manager is an optimist, hell choose S4 because that could produce the largest
possible gain ($28 million), which maximizes the maximum possible gain (that is, themaximax choice).
2. If our manager is a pessimist, hell assume only the worst can occur and the worst
outcome for each strategy is as follows: S1, $11 million; S2, $9 million; S3, $15 million; and
S4, $14 million. Following the maximin choice, the pessimistic manager would maximize the
minimum payoff - in other words, hed select S2.
In the remaining two strategic approaches, managers recognize that once a decision is made it
will not necessarily result in the most profitable payoff. What could occur is a regret of profits,
as seen in Exhibit QM-2 in the following slide.
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Payoff Matrices: Regret Matrix
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Payoff Matrices: Regret Matrix
In the third approach, managers acknowledge a regret of profits givenupthat is, regret of the money that could have been made had adifferent strategy been used. Managers calculate regret by subtracting all
possible payoffs in each category from the maximum possible payoff foreach givenin this case, for each competitive action. For our Visamanager, the highest payoff, as seen in QM-1, given that American Expressengages in CA1, CA2, or CA3, is $24 million, $21 million, or $28 million,respectively (that is, the highest number in each column).
Subtracting the payoffs in Exhibit QM1 from these figures produces theresults in Exhibit QM2. That means, starting with column CA1, subtracteach value for S1, S2, S3, and S4 from $24 million to get the values incolumn CA1 in the Regret Matrix. For example, CA1 (which is $24 million) S1 (which is $13 million) = $11 million in the Regret Matrix. Likewise, CA1(which is $24 million) S2 (which is $9 million) = S2 ($15 million), and soon.
The maximum regrets are S1 = $17 million; S2 = $15 million; S3 = $13million; and S4 = $7 million. The minimax choice minimizes the maximumregret, so our Visa manager would choose S4. By making this choice, hellnever have a regret of profits forgone of more than $7 million. This resultcontrasts, for example, with a regret of $15 million had he chosen S2 and
American Express had taken CA1.
Decision Trees
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Decision Trees
Decision trees are useful for analyzing hiring, marketing, investment,equipment purchases, pricing, and similar decisions that involve aprogression of decisions.
Typical decision trees assign probabilities to each possible outcome andcalculate payoffs for each decision path. Exhibit QM3 illustrates a decisionfacing Becky Harrington, the site selection supervisor for Waldenbookstores in the Midwestern region. Becky supervises a small group ofspecialists who analyze potential locations and make store site
recommendations to the regions director. The lease on the companysWinter Park, Florida store is expiring, and the property owner has decidednot to renew it. Becky and her group have to make a relocationrecommendation. Beckys group has identified an excellent site in a nearbyshopping mall in Orlando. The mall owner has offered her two comparablelocations: one with 12,000 square feet (the same as she has now) and theother a larger, 20,000-square-foot space.
Beckys initial decision concerns whether to recommend renting the largeror smaller location. If she chooses the larger space and the economy isstrong, she estimates the store will make a $320,000 profit. However, if theeconomy is poor, the higher operating costs of the larger store will meanthat the profit will be only $50,000. With the smaller store, she estimates
the profit at $240,000 with a good economy and $130,000 with a poor one.
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Decision Trees (con)
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Decision Trees (con)
As we can see from Exhibit QM3, the expected value for the larger store is
$239,000that is, [(.70 x 320) + (.30 x 50)]. The expected value for the
smaller store is $207,000that is [(.70 x 240) + (.30 x 130)]. Given these
projections, Becky plans to recommend the rental of the larger store space.
If Becky wants to consider the implications of initially renting the smaller
space and then expanding if the economy picks up, she can extend the
decision tree to include this second decision point. She has calculated
three options: no expansion, adding 4,000 square feet, and adding 8,000
square feet. Following the approach used for Decision Point 1, she could
calculate the profit potential by extending the branches on the tree and
calculating expected values for the various options.
Break-Even Analysis
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Break-Even Analysis
Break-even analysis is a widely used technique for helping managers makeprofit projections. It points out the relationship among revenues, costs, andprofits. To compute the break-even point (BE), the manager needs to know theunit price of the product being sold (P), the variable cost per unit (VC), and thetotal fixed costs (TFC).
An organization breaks even when its total revenue is just enough to equal itstotal costs. But total cost has two parts: a fixed component and a variablecomponent.
Fixed costs are expenses that do not change, regardless of volume, such asinsurance premiums and property taxes. Fixed costs, however, are fixed onlyin the short term because commitments terminate later on and are thussubject to variation.
Variable costs change in proportion to output and include raw materials, laborcosts, and energy costs.
The break-even point can be computed graphically or by using the followingformula:
BE = [TFC/1P - VC2]
Break-Even Analysis (con)
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Break-Even Analysis (con)
Lets assume that at Joses Bakersfield Espresso, Jose charges $1.75
for an average cup of coffee. If his fixed costs (salary, insurance, and
so on) are $47,000 a year and the variable costs for each cup of
espresso are $0.40, Jose can compute his break-even point as
follows: $47,000/(1.75 0.40) = 34,815 /52 weeks = about 670 cups
of espresso sold each week, or when annual revenues are
approximately $60,926. This relationship is shown graphically in
Exhibit QM4.
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Break-Even Analysis (con)
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Break-Even Analysis (con)
Break-even analysis also serves as a planning and decision-making
tool. As a planning tool, it could help Jose set his sales objective. For
example, he could establish the profit he wants and then work
backward to determine what sales level is needed to reach that
profit. As a decision-making tool, break-even analysis could tell Jose
how much volume has to increase to break even if he is currently
operating at a loss, or how much volume he can afford to lose and
still break even if he is currently operating profitably.
Ratio Analysis
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Ratio Analysis
Managers often examine their organizations balance sheet and
income statements to analyze key ratios. This means they compare
two significant figures from the financial statements and express
them as a percentage or ratio. This practice allows managers to
compare current financial performance with that of previous periods
which aids managers in deciding their future activities. Some of the
more useful ratios evaluate liquidity, leverage, operations, and
profitability. These ratios are summarized in Exhibit QM5.
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