Conjoint analysis (CA) is one of the most important methods for preference elicitation. In this paper we investigate the intellectual structure within the conjoint analytical research community. Analyses based on single papers provide a method-based overview of streams of conjoint research. By using novel bibliometric techniques in this field we complement findings of existing reviews. We use co-citation and factor analysis of the most cited articles in SSCI to identify the most important articles and research streams. Seven research streams are revealed which are visualized by means of multidimensional scaling. Tables and graphics reveal the disciplinary affiliations of contributors to CA, the special structure within the classes as well a...
This study explores the analysis of citations in the Journal of Consumer Research (JCR) during its f...
Hermelbracht A, Senst E. Application of the Conjoint Analysis as a Marketing Research Tool for the D...
The inside front and back covers of the new edition of Statistics for Experimenters has a number of ...
Conjoint analysis (CA) is one of the most important methods for preference elicitation. In this pape...
This article aims to describe the conjoint analysis (CA) method and its application in healthcare se...
We review conjoint analysis (CA) usage in recent entrepreneurship research to assess how researchers...
With the increasing importance of mass-market information systems (IS), understanding individual use...
AbstractBackgroundThe application of conjoint analysis (including discrete-choice experiments and ot...
We review conjoint analysis (CA) usage in recent entrepreneurship research to assess how researchers...
In market researche we often need statistical methods able to jointly deal with numerical and textua...
The increasing prevalence of Information Systems (IS) has led to a plethora of methodologies to inve...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Beginning with data collection, Robust Conjoint Analysis demonstrates quite a few comparative advant...
The application of the conjoint analysis to the choice of study major problems is discussed. Bach co...
This study explores the analysis of citations in the Journal of Consumer Research (JCR) during its f...
Hermelbracht A, Senst E. Application of the Conjoint Analysis as a Marketing Research Tool for the D...
The inside front and back covers of the new edition of Statistics for Experimenters has a number of ...
Conjoint analysis (CA) is one of the most important methods for preference elicitation. In this pape...
This article aims to describe the conjoint analysis (CA) method and its application in healthcare se...
We review conjoint analysis (CA) usage in recent entrepreneurship research to assess how researchers...
With the increasing importance of mass-market information systems (IS), understanding individual use...
AbstractBackgroundThe application of conjoint analysis (including discrete-choice experiments and ot...
We review conjoint analysis (CA) usage in recent entrepreneurship research to assess how researchers...
In market researche we often need statistical methods able to jointly deal with numerical and textua...
The increasing prevalence of Information Systems (IS) has led to a plethora of methodologies to inve...
Due to more and more online questionnaires and possible distraction—e.g. by mails, social network me...
Conjoint Analysis (CA) is a popular statistical method for determining how customers prefer and val...
Beginning with data collection, Robust Conjoint Analysis demonstrates quite a few comparative advant...
The application of the conjoint analysis to the choice of study major problems is discussed. Bach co...
This study explores the analysis of citations in the Journal of Consumer Research (JCR) during its f...
Hermelbracht A, Senst E. Application of the Conjoint Analysis as a Marketing Research Tool for the D...
The inside front and back covers of the new edition of Statistics for Experimenters has a number of ...