[HTML][HTML] The state of the art of discrete choice experiments in food research

S Lizin, S Rousseau, R Kessels, M Meulders… - Food Quality and …, 2022 - Elsevier
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 …

[PDF][PDF] A review of methods for measuring willingness-to-pay

C Breidert, M Hahsler, T Reutterer - Innovative marketing, 2006 - reutterer.com
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 …

[图书][B] Applied conjoint analysis

VR Rao - 2014 - Springer
I started this project some 10 years back; Professor Paul Green assisted me in the early
phase of this work. During the last 5 years or so, there have been several interesting …

Discovering unobserved heterogeneity in structural equation models to avert validity threats

JM Becker, A Rai, CM Ringle, F Völckner - MIS quarterly, 2013 - JSTOR
A large proportion of information systems research is concerned with develo** and testing
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 …

Bayesian statistics and marketing

PE Rossi, GM Allenby - Marketing Science, 2003 - pubsonline.informs.org
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 …

Multi-task feature learning

A Argyriou, T Evgeniou, M Pontil - Advances in neural …, 2006 - proceedings.neurips.cc
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 …

Convex multi-task feature learning

A Argyriou, T Evgeniou, M Pontil - Machine learning, 2008 - Springer
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 …

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 …

Using conjoint experiments to analyze election outcomes: The essential role of the average marginal component effect

K Bansak, J Hainmueller, DJ Hopkins… - Political Analysis, 2023 - cambridge.org
Political scientists have increasingly deployed conjoint survey experiments to understand
multidimensional choices in various settings. In this paper, we show that the average …