Because most conjoint studies are conducted in hypothetical situations with no consumption consequences for the participants, the extent to which the studies are able to uncover “true” consumer preference structures is questionable. Experimental economics literature, with its emphasis on incentive alignment and hypothetical bias, suggests that more realistic incentivealigned studies will result...

Adaptive choice-based conjoint analysis (ACBC) and hybrid individualized two-level choice-based conjoint analysis (HIT-CBC) were developed to improve standard choice-based conjoint analysis through additional interviewing techniques. Both methods have demonstrated their applicability in comparison to standard choice-based conjoint methods. The objective of our study was a direct comparison of t...

Rapid technological advancements and widespread adoption of smartphones in recent years provide companies with new opportunities for integrating customers in innovation processes. In this paper we present a prototype of a smartphone application that can be used by marketing researchers to conduct mobile conjoint studies. Compared to traditional approaches, our prototype allows conjoint studies ...

Contingent valuation (CV) and conjoint analysis were used to estimate landowner’s willingness to pay (WTP) for ecosystem management on non-industrial private forest land. The results suggest that even when conjoint and CV questions are the same, except for rating and pricing format, respectively, WTP estimates are quite different. Since most conjoint models essentially count ‘maybe’ responses t...

Conjoint analysis is a statistical technique to reveal customers’ invisible preference using series of questions regarding tradeoffs in products. In this paper, we propose a new variant of this technique that uses products layout and customers’ actions in a store instead of conjoint cards and answers. We demonstrate the effectiveness of this method by making agent-based instore simulator that c...