Conjoint Measurement- for Quantifying Judgmental Data

Green, Paul E.; Rao, Vithala R.

doi:10.1177/002224377100800312

Cited by 427 publications

(140 citation statements)

References 16 publications

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“…For example, this clusterwise linear regression methodology could be utilized in the general context of multiattfibute models for attitude measurement. In a similar vein, the E-M based procedure could be adapted for use in conjoint analysis studies (Green and Rao 1971) to investigate the basis of preference or choice. More substantive applications exist in virtually all the social sciences.…”

Section: Discussionmentioning

confidence: 99%

A maximum likelihood methodology for clusterwise linear regression

DeSarbo

Cron

1988

Journal of Classification

418

216

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Section: Discussionmentioning

confidence: 99%

A maximum likelihood methodology for clusterwise linear regression

DeSarbo

Cron

1988

Journal of Classification

418

216

View full text Add to dashboard Cite

show abstract

“…Conjoint analysis was introduced by Green and Rao (1971), and has become the primary statistical technique used in marketing research to determine how people value different features that comprise an individual product or service. Extensive use of conjoint analysis in marketing began after its initial appliance in mathematic psychology, and it became more important as an analytical tool with the development of computer software.…”

Section: Proposed Conjoint Analysismentioning

confidence: 99%

Conjoint analysis of R&D contract agreements for industry-funded university research

Sohn

Lee

2011

J Technol Transf

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Since the late nineteenth century, universities have been regarded as useful sources of technological development to stimulate economic activity. Therefore, many governments have encouraged research collaborations between universities and industries. A consequence of such collaboration in Korea, however, is that university researchers have difficulty claiming ownership of their technological developments. Typical contracts used in academia in Korea have biased benefits for industries. Research and development contract agreements that decrease negotiation efforts between the sectors of academia and industry are essential to increase the efficiency of industry-academia collaborations. In order to determine an optimal contract design, we use conjoint analysis of four attributes, including policies of ownership and compensation, indemnity responsibility, patent application and maintenance fees, and publication restrictions. The resulting preferences take into account the perspectives of both industry and academia. We expect our approach to contribute to increasingly healthy collaborations between industry and academia, which in turn will benefit industrial competition as well as the Korean economy.

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“…These studies have largely used traditional survey research methods such as focus groups, in-depth interviews, and interval-level scale surveys. Conjoint Analysis (CJA), a market-based research method, offers an alternative approach to measuring user preferences of hypothetical products [11][12][13][14]. CJA measures product acceptability by presenting multiple ''proxy products'' from which the potential consumer chooses.…”

Section: Introductionmentioning

confidence: 99%

Using Conjoint Analysis to Measure the Acceptability of Rectal Microbicides Among Men Who Have Sex with Men in Four South American Cities

et al. 2011

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Conjoint Analysis (CJA), a statistical market-based technique that assesses the value consumers place on product characteristics, may be used to predict acceptability of hypothetical products. Rectal Microbicides (RM)-substances that would prevent HIV infection during receptive anal intercourse-will require acceptability data from potential users in multiple settings to inform the development process by providing valuable information on desirable product characteristics and issues surrounding potential barriers to product use. This study applied CJA to explore the acceptability of eight different hypothetical RM among 128 MSM in Lima and Iquitos, Peru; Guayaquil, Ecuador; and Rio de Janeiro, Brazil. Overall RM acceptability was highest in Guayaquil and lowest in Rio. Product effectiveness had the greatest impact on acceptability in all four cities, but the impact of other product characteristics varied by city. This study demonstrates that MSM from the same region but from different cities place different values on RM characteristics that could impact uptake of an actual RM. Understanding specific consumer preferences is crucial during RM product development, clinical trials and eventual product dissemination.

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Conjoint Measurement- for Quantifying Judgmental Data

Cited by 427 publications

References 16 publications

A maximum likelihood methodology for clusterwise linear regression

A maximum likelihood methodology for clusterwise linear regression

Conjoint analysis of R&D contract agreements for industry-funded university research

Using Conjoint Analysis to Measure the Acceptability of Rectal Microbicides Among Men Who Have Sex with Men in Four South American Cities

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