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John R. Hauser. Faura, Julio M. (Julio Manuel), 1970- Management of Technology Program. Management of Technology Program. Sloan School of Management 2005-08-22T23:59:40Z 2005-08-22T23:59:40Z 2000 2000 http://hdl.handle.net/1721.1/9273 45744730 Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000. Includes bibliographical references (leaves 48-51). The topic of this thesis is focused around the new possibilities in the field of market research opened with the advent of the internet, in particular around the use of web interfaces to perform conjoint analysis, a market research technique based on comparisons between pairs of potential product configurations to compute the perceived relative utility of each of several product design attributes. We first overview conjoint analysis and the online market research industry in general, so see how the use of the internet for this purpose can reduce the cost of these analyses in more than an order of magnitude due to a better accessibility to test customers, a cleaner and faster interface, and the possibility of reducing the number of questions necessary to compute the utility functions using an adaptive technique that generates optimal questions with dynamic web content as the test proceeds. We then study the issues related with the automation of web sites for performing this type of analyses without having to redesign the interface, with the introduction of dynamic content web technology for adaptive conjoint analysis, and with the possibilities offered by this technique towards fast segmentation of incoming customers. Finally, we report the first implementation - to the best of our knowledge - of an actual web architecture that uses a novel adaptive conjoint algorithm and automates the whole analysis setup process. by Julio M. Faura. S.M.M.O.T. 51 leaves 4530001 bytes 4529760 bytes application/pdf application/pdf eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Management of Technology Program. Contribution to web-based conjoint analysis for market research Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ec27b0c4-237e-424b-ac79-c09da06d556c"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Contribution to web-based conjoint analysis for market research</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2000</PublicationDate> <Authors> <Author> <DisplayName>Faura, Julio M. (Julio Manuel), 1970-</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Management of Technology Program.</Keyword> <Abstract>The topic of this thesis is focused around the new possibilities in the field of market research opened with the advent of the internet, in particular around the use of web interfaces to perform conjoint analysis, a market research technique based on comparisons between pairs of potential product configurations to compute the perceived relative utility of each of several product design attributes. We first overview conjoint analysis and the online market research industry in general, so see how the use of the internet for this purpose can reduce the cost of these analyses in more than an order of magnitude due to a better accessibility to test customers, a cleaner and faster interface, and the possibility of reducing the number of questions necessary to compute the utility functions using an adaptive technique that generates optimal questions with dynamic web content as the test proceeds. We then study the issues related with the automation of web sites for performing this type of analyses without having to redesign the interface, with the introduction of dynamic content web technology for adaptive conjoint analysis, and with the possibilities offered by this technique towards fast segmentation of incoming customers. Finally, we report the first implementation - to the best of our knowledge - of an actual web architecture that uses a novel adaptive conjoint algorithm and automates the whole analysis setup process.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>