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8/8/2019 19011052 Perception IDM
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Perception and DecisionMaking
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Perception
Perception
A process by which individuals organize and
interpret their sensory impressions in order to give
meaning to their environment
Perceptual processes differ across individuals
Perception is basis of meaning
Behaviors are based on perceptions, not onreality
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Perception
Source: Robbins, 2001
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Shortcuts in Perception
Selective perception
Categorical thinking
Mental models
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Social Identity Theory
Personal identity
Social identity
Social perceptions Categorization
Homogenization
Differentiation
Stereotyping
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Errors in Perception
Primacy effect
Recency effect
Projection Halo effect
Contrast effect
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Attribution Theory
How do people determine the source or cause of
others¶ behaviors?
Internal attribution
External attribution
1. Distinctiveness: shows different behaviors in
different situations.
2. Consensus: response is the same as others to
same situation.
3. Consistency: responds in the same way over time.
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Attribution Theory
Source: Robbins, 2001
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Attribution Theory
Errors in attributions
Fundamental Attribution Error
The tendency to underestimate the influence of external factors and overestimate the influence of
internal factors
Self-serving Bias
The tendency for individuals to attribute their own
successes to internal factors while putting the blame
for failures on external factors
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The Link Between Perceptions
and Individual Decision Making
Perception of the Decision
Maker
Outcomes
Problem A perceived discrepancy
between the current state of
affairs and a desired state
DecisionsChoices made from among
alternatives developed fromdata perceived as relevant
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The Classical Model of
Decision Making
1. Identify and define the Problem
2. Identify decision criteria
3. Allocate weights to criteria
4. Develop alternatives
5. Analyze alternatives
6. Select the ³best´ alternative
7. Implement the alternative
8. Evaluate decision effectiveness
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Assumptions of
rationality in
classical decision
making model
Problem is
clear and
unambiguous
Single, well-
defined goal
is to be achievedAll alternatives
and
consequences areknown
Preferences
are clear
Preferences
are constant
and stable
No time or cost
constraints exist
Final choice
will maximize
payoff
Source: Robbins, 1999
Classical Model of Decision
Making
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Behavioral Model of Decision
Making
Classical model is ³prescriptive´: It tells
managers what they should do
Behavioral model is ³descriptive´: It tells ushow managers actually make decisions
Managers attempt to be rational, but
assumptions of complete rationality are relaxed
(i.e., we know managers don¶t have complete andaccurate information) ± ³bounded rationality´
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ProcessingProcessingInformationInformation
EvaluationEvaluationTimingTiming
Rational: People can process all information
Rational: Choices evaluated simultaneously
GoalsGoals Rational: Clear, compatible, agreed upon
OB: Ambiguous, conflicting, lack agreement
OB: People process only limited information
OB: Choices evaluated sequentially
Making Ch
oices:R
ational vs OB
Source: Shane & Von Glinow, 2005
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Info QualityInfo Quality
DecisionDecisionObjectiveObjective
Rational: People rely on factual information
Rational: Maximization -- the optimal choice
StandardsStandards Rational: Evaluate against absolute standards
OB: Evaluate against implicit favorite
OB: Rely on perceptually distorted information
OB: Satisficing -- a ³good enough´ choice
Making Choices: Rational vs OB
Source: Shane & Von Glinow, 2005
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Behavioral Model of Decision
Making
How do managers actually make decisions?
They satisfice rather than optimize
They use their intuition They act politically (e.g., coalitions)
They take risks
They escalate their commitment
They have their own decision making styles
They use heuristics
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How Are Decisions Actually Made
in Organizations?
How/Why problems are Identified
Visibility over importance of problem
Attention-catching, high profile problems
Desire to ³solve problems´ Self-interest (if problem concerns decision maker)
Alternative Development
Satisficing: seeking the first alternative that solves
problem
Engaging in incremental rather than unique
problem solving through successive limited
comparison of alternatives to the current
alternative in effect
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Common Biases and Errors
Overconfidence Bias
Believing too much in our own ability to make
good decisions
Anchoring Bias
Using early, first received information as the
basis for making subsequent judgments
Confirmation Bias
Using only the facts that support our decision
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Common Biases and Errors
Availability Bias Using information that is most readily at hand
Recent
Vivid Representative Bias ³Mixing apples with oranges´
Assessing the likelihood of an occurrence by
trying to match it with a preexisting category usingonly the facts that support our decision
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Common Biases and Errors
Escalation of Commitment
In spite of new negative information, commitment
actually increases
Randomness Error
Creating meaning out of random events
Hindsight Bias
Looking back, once the outcome has occurred,
and believing that you accurately predicted the
outcome of an event
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Intuition Intuitive Decision Making
An unconscious process created out of distilled
experience
Conditions Favoring Intuitive DecisionMaking A high level of uncertainty exists
There is little precedent to draw on
Variables are less scientifically predictable ³Facts´ are limited
Facts don¶t clearly point the way
Analytical data are of little use
Several plausible alternative solutions exist
Time is limited and pressing for the right decision
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Ways to Improve Decision
Making
1. Analyze the situation and adjust your decision
making style to fit the situation.
2. Be aware of biases and try to limit their impact.
3. Combine rational analysis with intuition to increase
decision-making effectiveness.
4. Don¶t assume that your specific decision style is
appropriate to every situation.
5. Enhance personal creativity by looking for novel
solutions or seeing problems in new ways, and
using analogies.
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Toward Reducing Bias and
Errors
Focus on goals.
Clear goals make decision making easier and
help to eliminate options inconsistent with your
interests.
Look for information that disconfirms
beliefs.
Overtly considering ways we could be wrongchallenges our tendencies to think we¶re smarter
than we actually are.
Source: S.P. Robbins, Decide & C onquer: Maki ng Wi nni ng Decisi ons and Taki ng C ont r ol
of Y our Li f e (Upper Saddle River, NJ: Financial Times/Prentice Hall, 2004), pp. 164±68.
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Toward Reducing Bias and
Errors
Don¶t try to create meaning out of random
events.
Don¶t attempt to create meaning out of coincidence.
Increase your options.
The number and diversity of alternatives
generated increase the chance of finding anoutstanding one.
Source: S.P. Robbins, Decide & C onquer: Maki ng Wi nni ng Decisi ons and Taki ng C ont r ol
of Y our Li f e (Upper Saddle River, NJ: Financial Times/Prentice Hall, 2004), pp. 164±68.
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Common Biases in Decision
Making
Heuristics are ³rules of thumb´
The availability heuristic: use information that is
easily recalled
The representativeness heuristic: categorize and
stereotype based on limited information (e.g., you
can tell a book by its cover)
The anchoring and adjustment heuristic: place toomuch weight on initial information
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Source: Prentice-Hall 2003
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Common Biases in Decision
Making
Escalation of Commitment
The tendency of decision makers to invest
additional time, money, or effort into what are
essentially bad decisions or unproductive courses
of action that are already draining organizational
resources.
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Common Biases in Decision
Making
Escalation of commitmentoccurs because of« Ego / Self-justification
Sunk costs fallacy
Gambler¶s fallacy
Stopping costs
Perceptual filters
To help resolve andprevent escalation of commitment« Don¶t look at other people
to set what you should do
Continually remind yourself of the costs
Set limits on your involvement and
commitment Focus on the quality of the
decision, not the quantity of the outcome
Stay vigilant
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Employee Involvement Model
Potential InvolvementPotential Involvement
OutcomesOutcomes
ContingenciesContingenciesof Involvementof Involvement
EmployeeEmployee
InvolvementInvolvement
Better problemidentification
More/better
solutions
generated
Best choice morelikely
Higher decision
commitment
Source: Shane & Von Glinow, 2005
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Contingencies of Involvement
KnowledgeKnowledge
SourceSource
DecisionDecision
CommitmentCommitment
Employees have relevant knowledge
beyond leader
Employees would lack commitment
unless involved
Risk of Risk of
ConflictConflict
Norms support firm¶s goals
Employee agreement likely
DecisionDecision
StructureStructure
Problem is new & complex
(i.e non-programmed decision)
More employee involvement is better when:More employee involvement is better when:
Source: Shane & Von Glinow, 2005
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Characteristics of Creative
People
Above average intelligence
Persistence
Relevant knowledge and experience
Inventive thinking
Source: McShane & VonGinow, 2006
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Creativity in Decision Making
Preparation Incubation Insight Verification
Education
S
tudy Knowledge
Intelligence
Persistence
Reflection
Thinking Consideration
Rest
Breakthrough
³ah-hah!´ ³light turned on´
Test
Check
The Creative Process
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Creative Work Environments
Learning orientation Encourage experimentation
Tolerate mistakes
Intrinsically motivating work
Task significance, autonomy, feedback
Open communication and sufficient resources
Team trust and project commitment
Source: McShane & VonGinow, 2006
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Creative Activities
ReviewReview
abandonedabandonedprojectsprojects
Explore issueExplore issuewith other with other
peoplepeople
RedefineRedefine
the Problemthe Problem
StorytellingStorytelling
Artistic Artisticactivitiesactivities
MorphologicalMorphological
analysisanalysis
AssociativeAssociative
PlayPlay
Diverse teamsDiverse teams
InformationInformationsessionssessions
InternalInternal
tradeshowstradeshows
CrossCross--
PollinationPollination
Source: McShane & VonGinow, 2006
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1. Looking for the ³right´
answer.
2. Always trying to be logical.
3. Strictly following the rules.
4. Insisting on being practical.
5. Avoiding ambiguity.
6. Fearing and avoiding failure.
7. Forgetting how to play.
8. Becoming too specialized.
9. Not wanting to look foolish.
10. Saying ³I¶m not creative.´
Source: Krietner, 2004
Ten Mental ³Locks´ on
Creativity
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Organizational Factors Impeding
Creativity
1. Expected evaluation
2. Surveillance
3. External motivators
4. Competition
5. Constrained choice
Source: Robbins, 2003