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Choice theories: What are they good for?
1Columbia Business School, Columbia University, New York, NY 10027, USA.
Future choice theories must predict how choice environments influence decisions. By rigorously modeling underlying processes and learning from model failures, consumer researchers can design better real-world choice architecture.
Area of Science:
- Decision Science
- Consumer Behavior
- Behavioral Economics
Background:
- Traditional choice models predict choices based on option attributes.
- There is a need for theories that predict the impact of choice environments on choice probability.
- Simonson et al. proposed an integrative theory of context.
Purpose of the Study:
- To discuss the future function of choice theories.
- To argue for the necessity of quantitative predictions regarding choice environment effects.
- To explore how modeling underlying choice processes can achieve this.
Main Methods:
- Reviewing and extending the Simonson et al. proposal.
- Examining examples from decision-making and decision neuroscience research.
- Analyzing the utility of spectacularly failing models.
Main Results:
- Choice theories must evolve to predict environmental influences on choice.
- Rigorous modeling of underlying choice processes is crucial for quantitative predictions.
- Failures in predictive models offer valuable insights for theory development.
Conclusions:
- Theories of choice need to incorporate the impact of the choice environment.
- Focusing on underlying processes and learning from failures will advance choice theory.
- Consumer researchers can contribute to designing effective real-world choice environments, such as health exchanges.
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