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Chapter 12 Decision Making II: Alternative Evaluation and Choice

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1 Chapter 12 Decision Making II: Alternative Evaluation and Choice
Babin/Harris © 2009 South-Western, a division of Cengage Learning.

2 © 2009 South-Western, a division of Cengage Learning.
Learning Outcomes Understand the difference between evaluative criteria and determinant criteria. Comprehend how value affects the evaluation of alternatives. Explain the importance of product categorization in the evaluation of alternatives process. Distinguish between compensatory and noncompensatory rules that guide consumer choice. © 2009 South-Western, a division of Cengage Learning.

3 © 2009 South-Western, a division of Cengage Learning.
Decision Making Model Need recognition Search for information Alternative evaluation Choice Postchoice evaluation LO1 © 2009 South-Western, a division of Cengage Learning.

4 © 2009 South-Western, a division of Cengage Learning.
Evaluative Criteria The attributes, features, or potential benefits that consumers consider when reviewing possible solutions to a problem. Feature – a performance characteristic of an object. Benefit - a perceived favorable result that is derived from the presence of a particular feature. LO1 © 2009 South-Western, a division of Cengage Learning.

5 © 2009 South-Western, a division of Cengage Learning.
Determinant Criteria The evaluative criteria that are related to the actual choice that is made. Can depend largely on the situation in which a product is consumed. LO1 © 2009 South-Western, a division of Cengage Learning.

6 Value and Alternative Evaluation
Hedonic criteria – emotional, symbolic, and subjective attributes or benefits that are associated with an alternative. Utilitarian criteria – functional or economic aspects associated with an alternative. Bounded rationality – perfectly rational decisions are not always feasible due to constraints found in information processing. LO2 © 2009 South-Western, a division of Cengage Learning.

7 Types of Evaluation Processes
Affect-based evaluation – consumers evaluate products based on the overall feeling that is evoked by the alternative. Attribute-based evaluation – alternatives are evaluated across a set of attributes that are considered relevant to the purchase situation. LO2 © 2009 South-Western, a division of Cengage Learning.

8 © 2009 South-Western, a division of Cengage Learning.
Product Categories Mental representations of stored knowledge about groups of products. Category levels: Superordinate categories – abstract in nature and represent the highest level of categorization. Subordinate categories – more detailed. LO3 © 2009 South-Western, a division of Cengage Learning.

9 © 2009 South-Western, a division of Cengage Learning.
Attributes Perceptual attributes – visually apparent and easily recognizable. Search qualities Underlying attributes – not readily apparent and can only be learned through experience. Experience qualities Signal – a characteristic that allows a consumer to diagnose something distinctive about an alternative. LO3 © 2009 South-Western, a division of Cengage Learning.

10 Factors Determining Evaluative Criteria Used
Situational influences Product knowledge Social influences Expert opinions Online sources Marketing communications LO3 © 2009 South-Western, a division of Cengage Learning.

11 © 2009 South-Western, a division of Cengage Learning.
Consumer Judgment Mental assessments of the presence of attributes and the benefits associated with those attributes. Consumers make judgments about: Presence of features Feature levels Benefits associated with features Value associated with the benefit How objects differ from each other LO3 © 2009 South-Western, a division of Cengage Learning.

12 Issues Affecting Consumer Judgments
Just noticeable difference Attribute correlation Quality perceptions Brand name associations LO3 © 2009 South-Western, a division of Cengage Learning.

13 Consumer Choice: Decision Rules
Compensatory rules – allow consumers to select products that may perform poorly on one attribute by compensating for the poor performance by good performance on another attribute. Noncompensatory rules – strict guidelines are set prior to selection, and any option that does not meet the specifications is eliminated from consideration. LO4 © 2009 South-Western, a division of Cengage Learning.

14 © 2009 South-Western, a division of Cengage Learning.
Compensatory Model Attitude-toward-the-object model (Fishbein model) LO4 © 2009 South-Western, a division of Cengage Learning.

15 Noncompensatory Models
Conjunctive rule Disjunctive rule Lexicographic rule Elimination-by-aspects rule (EBA) LO4 © 2009 South-Western, a division of Cengage Learning.


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