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Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs
16 references·2 citing·50 second hop
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References

  • 1983Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data1,397 cited
  • 1996The Importance of Utility Balance in Efficient Choice Designs1,101 cited
  • 1997Consumer Preference for a No‐Choice Option996 cited
  • 1997Consumer Information Search Revisited: Theory and Empirical Analysis782 cited
  • 1994Efficient Experimental Design with Marketing Research Applications765 cited
  • 2002Measuring Consumers' Willingness to Pay at the Point of Purchase745 cited
  • 1983Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data567 cited
  • 2006Behavior in operations management: Assessing recent findings and revisiting old assumptions551 cited
  • 2010Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint490 cited
  • 2001Designing Conjoint Choice Experiments Using Managers' Prior Beliefs478 cited
  • 2002Optimal Design for Multinomial Choice Experiments305 cited
  • 2008Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?248 cited
  • 2006A Comparison of Criteria to Design Efficient Choice Experiments233 cited
  • 2007Heterogeneity distributions of willingness-to-pay in choice models198 cited

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  • 2002Augmenting Conjoint Analysis to Estimate Consumer Reservation Price195 cited
  • 2006The no-choice option and dual response choice designs171 cited
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    • 2012A Comparison of Adaptive Choice‐Based Conjoint and Choice‐Based Conjoint to Determine Key Choice Attributes of Sour Cream with Limited Sample Size71 cited
    • 2020The Impact of Price Bundling on the Evaluation of Bundled Products: Does It Matter How You Frame It?10 cited