Contribution to web-based conjoint analysis for market research

Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000.

Bibliographic Details
Main Author: Faura, Julio M. (Julio Manuel), 1970-
Other Authors: John R. Hauser.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/9273
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author Faura, Julio M. (Julio Manuel), 1970-
author2 John R. Hauser.
author_facet John R. Hauser.
Faura, Julio M. (Julio Manuel), 1970-
author_sort Faura, Julio M. (Julio Manuel), 1970-
collection MIT
description Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000.
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spelling mit-1721.1/92732019-04-10T10:53:13Z Contribution to web-based conjoint analysis for market research Faura, Julio M. (Julio Manuel), 1970- John R. Hauser. Management of Technology Program. Management of Technology Program. Management of Technology Program. 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. 2005-08-22T23:59:40Z 2005-08-22T23:59:40Z 2000 2000 Thesis http://hdl.handle.net/1721.1/9273 45744730 eng 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 51 leaves 4530001 bytes 4529760 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Management of Technology Program.
Faura, Julio M. (Julio Manuel), 1970-
Contribution to web-based conjoint analysis for market research
title Contribution to web-based conjoint analysis for market research
title_full Contribution to web-based conjoint analysis for market research
title_fullStr Contribution to web-based conjoint analysis for market research
title_full_unstemmed Contribution to web-based conjoint analysis for market research
title_short Contribution to web-based conjoint analysis for market research
title_sort contribution to web based conjoint analysis for market research
topic Management of Technology Program.
url http://hdl.handle.net/1721.1/9273
work_keys_str_mv AT faurajuliomjuliomanuel1970 contributiontowebbasedconjointanalysisformarketresearch