The idea of concordance is central to many MCDM techniques. It leads to comparing alternatives by pairs on the basis of a comparison in terms of importance of the coalitions of attributes favoring each element of the pair. Such a way of comparing alternatives has a definite “ordinal” flavor. It is well-know that it may lead to relations that do not possess any remarkable transitivity properties...

This paper describes a systematic approach for integrating market research with the product development process. The following three problems are addressed in this paper. First, a demand estimation algorithm has been developed based on conjoint measurement techniques. Second, an integrated design decision model has been developed. The main components of this design decision model are representa...

Outranking relations such as produced by the Electre I or II or the Tactic methods are based on a concordance and non-discordance principle that leads to declaring that an alternative is “superior” to another, if the coalition of attributes supporting this proposition is “sufficiently important” (concordance condition) and if there is no attribute that “strongly rejects” it (non-discordance con...

In the literature on MCDM, many methods have been proposed in order to sort alternatives evaluated on several attributes into ordered categories. Most of them were proposed on an ad hoc basis. Using tools from conjoint measurement, this paper takes a more theoretical approach to these sorting methods. We provide an axiomatic analysis of the partitions of alternatives into two categories that ca...

Conjoint analysis continues to be an area of active research due to its enormous (and often delivered) promise of improved marketing decision-making. However, despite much methodological progress, the literature has remained curiously silent on a fundamental design question: "How does one choose the attributes and levels in the first place?" In this paper, we present a method to support conjoin...

OBJECTIVES To review the criteria and 'other' considerations used internationally for prioritizing new health technologies, and to demonstrate a conjoint-analysis methodology (also known as discrete choice experiments) for deriving relative weights for the criteria. METHODS We searched the literature for criteria and other considerations for prioritizing new technologies. A convenience sample...

Conjoint analysis is a stated-preference survey method that can be used to elicit responses that reveal preferences, priorities, and the relative importance of individual features associated with health care interventions or services. Conjoint analysis methods, particularly discrete choice experiments (DCEs), have been increasingly used to quantify preferences of patients, caregivers, physician...

This review article attempts to highlight from my personal perspective some of the major developments in the representational theory of measurement during the past 50 years. Emphasis is placed on the ongoing interplay between the development of abstract theory and the attempts to apply it to empirically testable phenomena. The article has four major sections. The first concerns classical repres...

Literature on Mobile Platforms focuses predominantly on strategic issues in managing multi-sided platforms as well as economic issues of two-sided markets. Most of this literature is highly conceptual and empirical research on the perceptions, preferences and behaviour of consumers is lacking. Moreover, scholars typically focus on device-related platforms like operating systems and app stores, ...

We propose and test new adaptive question design and estimation algorithms for partialprofile conjoint analysis. Polyhedral question design focuses questions to reduce a feasible set of parameters as rapidly as possible. Analytic center estimation uses a centrality criterion based on consistency with respondents’ answers. Both algorithms run with no noticeable delay between questions. We evalua...