Video Lectures Flashcards
what are high effort decisions?
- High motivation: spend more time and energy
- High ability: more knowledge about product features
- High opportunity: more time available to think
- ATTRIBUTE importance
where does high motivation come from?
- High price
- Important for work
- Makes me look good
- Expresses who I am
what are low effort decisions?
- Low motivation
- Lower price
- Less important for work
- Does not make me look good
- Does not express who I am
- Low ability: less knowledge
- Low opportunity: less time to think
what is the brand attribute matrix?
table highlighting brands and their attributes
what is theory of reasoned action (TORA)/compensatory decision rule?
More positive attitude, more likely the choice
- TORA approximates our thinking process under high effort conditions
- Helps with product development and advertising
what are the steps to form an attitude?
- List attributes
- Think about performance and importance of each attribute
- Combine performance/importance of each attribute (P x I = weighted utility)
- Add utility (value) from all attributes
difference between compensatory and non-compensatory
Compensatory: weakness in one attribute can be compensated by a strength on another attribute
Non-compensatory: weakness in one attribute cannot be compensated by strength on a different attribute
what is the conjunctive model?
High cut-offs on all attributes
* Chosen alternative is the only surviving alternative (brands get kicked out until one is left standing)
* Assumes all attributes are highly important
what is the disjunctive model?
different cut-offs for attributes (mixed cut-offs)
* Chosen alternative has greatest number of “acceptable” features
difference between cognitive and affective choice heuristics
- cognitive: performance, price, habit, loyalty
- affective: liking, familiarity, variety, impulse
what are judgments?
estimates that we make on liking, truth, and amount
what is the availability heuristic?
vivid (easily recalled) info is more important than less vivid info for risk/probability judgements
what is framing?
negative repels more than positive attracts
what is bias?
gap between actual probability and perceived probability
what is confirmation bias?
we focus on later info that confirms our initial expectations