Perception and Decision Making
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 on reality
Perception
Source: Robbins, 2001
Shortcuts in Perception Selective
perception Categorical thinking Mental models
Social Identity Theory Personal
identity Social identity Social perceptions
Categorization Homogenization Differentiation Stereotyping
Errors in Perception Primacy
effect Recency effect Projection Halo effect Contrast effect
Attribution Theory
How do people determine the source or cause of others’ behaviors?
Internal attribution External attribution
Distinctiveness: shows different behaviors in different situations. Consensus: response is the same as others to same situation. Consistency: responds in the same way over time.
Attribution Theory
Source: Robbins, 2001
Attribution Theory Errors
Fundamental Attribution Error
in attributions
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
The Link Between Perceptions and Individual Decision Making Problem A perceived discrepancy between the current state of affairs and a desired state
Decisions
Perception of the Decision Maker
Choices made from among alternatives developed from data perceived as relevant
Outcomes
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 “best” alternative 7. Implement the alternative 8. Evaluate decision effectiveness
Classical Model of Decision Making All alternatives and consequences are known
Preferences are clear
Single, welldefined goal is to be achieved Problem is clear and unambiguous
Assumptions of rationality in classical decision making model
Preferences are constant and stable Source: Robbins, 1999
Final choice will maximize payoff
No time or cost constraints exist
Behavioral Model of Decision Making Classical
model is “prescriptive”: It tells managers what they should do Behavioral model is “descriptive”: It tells us how 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 and accurate information) – “bounded rationality”
Making Choices: Rational vs OB Goals
Rational: Clear, compatible, agreed upon OB: Ambiguous, conflicting, lack agreement
Processing Information
Rational: People can process all information OB: People process only limited information
Evaluation Timing
Rational: Choices evaluated simultaneously OB: Choices evaluated sequentially
Source: Shane & Von Glinow, 2005
Making Choices: Rational vs OB Standards
Rational: Evaluate against absolute standards OB: Evaluate against implicit favorite
Info Quality
Rational: People rely on factual information OB: Rely on perceptually distorted information
Decision Objective
Rational: Maximization -- the optimal choice OB: Satisficing -- a “good enough” choice
Source: Shane & Von Glinow, 2005
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
How Are Decisions Actually Made in Organizations? How/Why
Visibility over importance of problem
problems are Identified
Attention-catching, high profile problems Desire to “solve 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
Common Biases and Errors Overconfidence
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
Bias
Using only the facts that support our decision
Common Biases and Errors Availability
Bias
Using information that is most readily at hand Recent Vivid
Representative
Bias
“Mixing apples with oranges” Assessing the likelihood of an occurrence by trying to match it with a preexisting category using only the facts that support our decision
Common Biases and Errors Escalation
of Commitment
In spite of new negative information, commitment actually increases
Randomness
Creating meaning out of random events
Hindsight
Error
Bias
Looking back, once the outcome has occurred, and believing that you accurately predicted the outcome of an event
Intuition Intuitive
Decision Making
An unconscious process created out of distilled experience
Conditions
Favoring Intuitive Decision
Making
A high level of uncertainty exists There is little precedent to draw on Variables are less scientifically predictable “Facts” 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
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.
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 wrong challenges our tendencies to think we’re smarter than we actually are.
Source: S.P. Robbins, Decide & Conquer: Making Winning Decisions and Taking Control of Your Life (Upper Saddle River, NJ: Financial Times/Prentice Hall, 2004), pp. 164–68.
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 an outstanding one.
Source: S.P. Robbins, Decide & Conquer: Making Winning Decisions and Taking Control of Your Life (Upper Saddle River, NJ: Financial Times/Prentice Hall, 2004), pp. 164–68.
Common Biases in Decision Making Heuristics
are “rules 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 too much weight on initial information
Source: Prentice-Hall 2003
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.
Common Biases in Decision Making
Escalation of commitment occurs because of…
Ego / Self-justification Sunk costs fallacy Gambler’s fallacy Stopping costs Perceptual filters
To help resolve and prevent 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
Employee Involvement Model Potential Involvement Outcomes Better
problem identification
Employee Involvement
More/better
solutions generated Contingencies of Involvement
Best
choice more
likely Higher
decision commitment
Source: Shane & Von Glinow, 2005
Contingencies of Involvement More employee involvement is better when: Decision Structure Knowledge Source Decision Commitment Risk of Conflict
Source: Shane & Von Glinow, 2005
• Problem is new & complex (i.e non-programmed decision) • Employees have relevant knowledge beyond leader • Employees would lack commitment unless involved • Norms support firm’s goals • Employee agreement likely
Characteristics of Creative People
Above average intelligence
Persistence
Relevant knowledge and experience
Inventive thinking
Source: McShane & VonGinow, 2006
Creativity in Decision Making The Creative Process Preparation • • • • •
Education Study Knowledge Intelligence Persistence
Incubation • • • •
Reflection Thinking Consideration Rest
Insight
Verification
• Breakthrough • “ah-hah!” • “light turned on”
• Test • Check
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
Creative Activities Redefine the Problem • Review abandoned projects • Explore issue with other people
Source: McShane & VonGinow, 2006
Associative Play
CrossPollination
• Storytelling
• Diverse teams
• Artistic activities
• Information sessions
• Morphological analysis
• Internal tradeshows
Ten Mental “Locks” on Creativity 1.
3.
5.
7.
9.
Looking for the “right” answer.
1.
Fearing and avoiding failure.
3.
Forgetting how to play.
5.
Becoming too specialized.
7.
Not wanting to look foolish.
9.
Saying “I’m not creative.”
Always trying to be logical. Strictly following the rules. Insisting on being practical. Avoiding ambiguity.
Source: Krietner, 2004
Organizational Factors Impeding Creativity 1. 2. 3. 4. 5.
Expected evaluation Surveillance External motivators Competition Constrained choice
Source: Robbins, 2003