Ceressec, n° DR 92037Unlike most studies reported in the marketing literature about conjoint analysis reliability and validity, this research investigates how various conjoint scaling algorithms have different levels of ability for recovering individual attribute utility functions. This study investigates the nature of these differences under various levels of experimental error conditions, conjoint estimation procedures and designs
In many studies, choice based conjoint analysis is used to build a market simulator to develop marke...
The time-consuming nature of Best-Worst deriving scales for a conjoint analysis study leads the auth...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Ceressec, n° DR 92037Unlike most studies reported in the marketing literature about conjoint analysi...
International audienceThis simulation study investigates how conjoint analysis recovers various type...
International audienceMarketing research studies using conjoint analysis typically involve many attr...
This paper looks at the comparative reliability of different methodological variants of the conjoint...
SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : DO 1672 / INIST-CNRS - I...
Conjoint analysis studies usually calculate utilities for several discrete attribute levels and then...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
Recent research suggests that using orthogonal arrays in full-profile conjoint may fail to provide a...
This study aims to draw conjoint researchers ’ attentions to the existence of systematic errors embe...
An experiment is designed for testing validity and reliability of two data gathering procedures in c...
Estimation of demand is one of the most important tasks in new product development. How customers co...
2000 Mathematics Subject Classification: 62J12, 62K15, 91B42, 62H99.Since late 1960s conjoint analys...
In many studies, choice based conjoint analysis is used to build a market simulator to develop marke...
The time-consuming nature of Best-Worst deriving scales for a conjoint analysis study leads the auth...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Ceressec, n° DR 92037Unlike most studies reported in the marketing literature about conjoint analysi...
International audienceThis simulation study investigates how conjoint analysis recovers various type...
International audienceMarketing research studies using conjoint analysis typically involve many attr...
This paper looks at the comparative reliability of different methodological variants of the conjoint...
SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : DO 1672 / INIST-CNRS - I...
Conjoint analysis studies usually calculate utilities for several discrete attribute levels and then...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
Recent research suggests that using orthogonal arrays in full-profile conjoint may fail to provide a...
This study aims to draw conjoint researchers ’ attentions to the existence of systematic errors embe...
An experiment is designed for testing validity and reliability of two data gathering procedures in c...
Estimation of demand is one of the most important tasks in new product development. How customers co...
2000 Mathematics Subject Classification: 62J12, 62K15, 91B42, 62H99.Since late 1960s conjoint analys...
In many studies, choice based conjoint analysis is used to build a market simulator to develop marke...
The time-consuming nature of Best-Worst deriving scales for a conjoint analysis study leads the auth...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...