Construction of Heterogeneous Conjoint Choice Designs: A New Approach

• Published in: Marketing science (Providence, R.I.) Vol. 34; no. 3; pp. 346 - 366
• Main Authors: Liu, Qing, Tang, Yihui (Elina)
• Format: Journal Article
• Language: English
• Published: Linthicum INFORMS 01.05.2015; Institute for Operations Research and the Management Sciences
• Subjects: conjoint analysis; conjoint choice designs; Design of experiments; Design optimization; discrete choice designs; experimental design; Marketing; mixed logit model; optimal designs; Simulation; Studies
• ISSN: 0732-2399; 1526-548X
• DOI: 10.1287/mksc.2014.0897

Extant research on choice designs in marketing focuses on the construction of efficient homogeneous designs where all respondents get the same design. Recently marketing scholars proposed the construction of efficient heterogeneous designs where different respondents or groups of respondents get different subdesigns, and demonstrated substantial efficiency gain when such heterogeneous designs are employed. A significant hurdle in the widespread adoption of heterogeneous designs is the high computation cost, even when the number of subdesigns contained in the heterogeneous design is restricted to be small. In this paper we propose a new approach for the construction of efficient heterogeneous choice designs. In contrast to extant approaches that are based on an exact design framework where it is computationally prohibitive to do an exhaustive search to find a globally optimal design, our proposed approach is based on the continuous design framework where well-established mathematical theories can be leveraged for quick identification of a globally optimal design. The proposed approach makes it feasible to generate a highly efficient choice design that is completely heterogeneous—a unique subdesign for each individual respondent in the choice experiment. The proposed approach is the first in the marketing literature to find a completely heterogeneous choice design with assured high global design efficiency using the continuous design framework. Results from simulation and empirical studies demonstrate superior performance of the proposed approach over extant approaches in constructing efficient heterogeneous choice designs. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mksc.2014.0897 .