We show how to combine statistically efficient ways to design discrete choice experiments based on random utility theory with new ways of collecting additional information that can be used to expand the amount of available choice information for modeling the choices of individual decision...

Louviere et al. (2008, J. of Choice Modelling, 1, 126-163) present two main empirical examples in which a respondent rank orders the options in various choice sets by repeated best, then worst, choice. They expand the ranking data to various implied choices in subsets and fit the expanded data...

Small- and medium-sized enterprises (SMEs) can benefit from internationalization. However, there is little evidence of the extent of the benefit and its dependence on both research and development (R&D) intensity and collaborative intensity. Drawing on data of 262 SMEs, this study illuminates...

Employee engagement is linked to higher productivity, lower attrition, and improved organizational reputations resulting in increased focus and resourcing by managers to foster an engaged workforce. While drivers of employee engagement have been identified as perceived support, job...

Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels. But directly estimating the importance weights of the attribute as a whole, rather than of distinct attribute...

The choice experiment elicitation format confronts survey respondents with repeated choice tasks. Particularly within the context of valuing pure public goods, this repetition raises two issues. First, does advanced awareness of multiple tasks influence stated preferences from the outset, and...

We present an experiment designed to investigate the presence and nature of ordering effects within repeated response stated preference studies. We formulate a general structural model of such effects and use this to isolate signature patterns for position-dependent effects (learning about...

We briefly review and discuss traditional conjoint analysis (CA) and discrete choice experiments (DCEs), widely used stated preference elicitation methods in several disciplines. We pay particular attention to the origins and basis of CA, and show that it is generally inconsistent with economic...

Disagreement among researchers regarding types of optimal choice experiments is often best seen as resulting from differences in the set of assumptions researchers are willing to make about the underlying data generating process. Much of the current debate may have confused, rather than...

We propose and describe a comprehensive theoretical framework that integrates choice models and structural equation models. Referred to as structural choice modelling the framework easily combines data from separate but related choice experiments. We describe the mathematical properties of the...