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[HTML][HTML] The state of the art of discrete choice experiments in food research
Discrete choice experiments (DCEs) have become an often-used research method in food
research due to their ability to uncover trade-offs made when choosing among multiple …
research due to their ability to uncover trade-offs made when choosing among multiple …
[PDF][PDF] A review of methods for measuring willingness-to-pay
Abstract Knowledge about a product's willingness-to-pay on behalf of its (potential)
customers plays a crucial role in many areas of marketing management like pricing …
customers plays a crucial role in many areas of marketing management like pricing …
Discovering unobserved heterogeneity in structural equation models to avert validity threats
A large proportion of information systems research is concerned with develo** and testing
models pertaining to complex cognition, behaviors, and outcomes of individuals, teams …
models pertaining to complex cognition, behaviors, and outcomes of individuals, teams …
[HTML][HTML] Policy measures to promote electric mobility–A global perspective
T Lieven - Transportation Research Part A: Policy and Practice, 2015 - Elsevier
Research that addresses policy measures to increase the adoption of electric vehicles (EVs)
has discussed government regulations such as California's Zero Emission Vehicle (ZEV) or …
has discussed government regulations such as California's Zero Emission Vehicle (ZEV) or …
Bayesian statistics and marketing
Bayesian methods have become widespread in marketing literature. We review the essence
of the Bayesian approach and explain why it is particularly useful for marketing problems …
of the Bayesian approach and explain why it is particularly useful for marketing problems …
Multi-task feature learning
We present a method for learning a low-dimensional representation which is shared across
a set of multiple related tasks. The method builds upon the wellknown 1-norm regularization …
a set of multiple related tasks. The method builds upon the wellknown 1-norm regularization …
Convex multi-task feature learning
We present a method for learning sparse representations shared across multiple tasks. This
method is a generalization of the well-known single-task 1-norm regularization. It is based …
method is a generalization of the well-known single-task 1-norm regularization. It is based …
Thirty years of conjoint analysis: Reflections and prospects
PE Green, AM Krieger, Y Wind - Interfaces, 2001 - pubsonline.informs.org
Conjoint analysis is marketers' favorite methodology for finding out how buyers make trade-
offs among competing products and suppliers. Conjoint analysts develop and present …
offs among competing products and suppliers. Conjoint analysts develop and present …
Using conjoint experiments to analyze election outcomes: The essential role of the average marginal component effect
Political scientists have increasingly deployed conjoint survey experiments to understand
multidimensional choices in various settings. In this paper, we show that the average …
multidimensional choices in various settings. In this paper, we show that the average …