Self-Reflection and Articulated Consumer Preferences

Accurate measurement of consumer preferences reduces development costs and leads to successful products. Some product-development teams use quantitative methods such as conjoint analysis or structured methods such as Casemap. Other product-development teams rely on unstructured methods such as direc...

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Main Authors: Hauser, John R., Dong, Songting, Ding, Min
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: John Wiley & Sons, Inc 2014
Online Access:http://hdl.handle.net/1721.1/90826
https://orcid.org/0000-0001-8510-8640
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author Hauser, John R.
Dong, Songting
Ding, Min
author2 Sloan School of Management
author_facet Sloan School of Management
Hauser, John R.
Dong, Songting
Ding, Min
author_sort Hauser, John R.
collection MIT
description Accurate measurement of consumer preferences reduces development costs and leads to successful products. Some product-development teams use quantitative methods such as conjoint analysis or structured methods such as Casemap. Other product-development teams rely on unstructured methods such as direct conversations with consumers, focus groups, or qualitative interviews. All methods assume that measured consumer preferences endure and are relevant for consumers' marketplace decisions. This article suggests that if consumers are not first given tasks to encourage preference self-reflection, unstructured methods may not measure accurate and enduring preferences. This paper provides evidence that consumers learn their preferences as they make realistic decisions. Sufficiently challenging decision tasks encourage preference self-reflection which, in turn, leads to more accurate and enduring measures. Evidence suggests further that if consumers are asked to articulate preferences before self-reflection, then that articulation interferes with consumers' abilities to articulate preferences even after they have a chance to self-reflect. The evidence that self-reflection enhances accuracy is based on experiments in the automotive and mobile phone markets. Consumers completed three rotated incentive-aligned preference measurement methods (revealed-preference measures [as in conjoint analysis], a structured method [Casemap], and an unstructured preference-articulation method). The stimuli were designed to be managerially relevant and realistic (53 aspects in automobiles, 22 aspects for mobile phones) so that consumers' decisions approximated in vivo decisions. One to three weeks later, consumers were asked which automobiles (or mobile phones) they would consider. Qualitative comments and response times are consistent with the implications of the measures of predictive ability.
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spelling mit-1721.1/908262022-10-01T21:11:39Z Self-Reflection and Articulated Consumer Preferences Hauser, John R. Dong, Songting Ding, Min Sloan School of Management Hauser, John R. Accurate measurement of consumer preferences reduces development costs and leads to successful products. Some product-development teams use quantitative methods such as conjoint analysis or structured methods such as Casemap. Other product-development teams rely on unstructured methods such as direct conversations with consumers, focus groups, or qualitative interviews. All methods assume that measured consumer preferences endure and are relevant for consumers' marketplace decisions. This article suggests that if consumers are not first given tasks to encourage preference self-reflection, unstructured methods may not measure accurate and enduring preferences. This paper provides evidence that consumers learn their preferences as they make realistic decisions. Sufficiently challenging decision tasks encourage preference self-reflection which, in turn, leads to more accurate and enduring measures. Evidence suggests further that if consumers are asked to articulate preferences before self-reflection, then that articulation interferes with consumers' abilities to articulate preferences even after they have a chance to self-reflect. The evidence that self-reflection enhances accuracy is based on experiments in the automotive and mobile phone markets. Consumers completed three rotated incentive-aligned preference measurement methods (revealed-preference measures [as in conjoint analysis], a structured method [Casemap], and an unstructured preference-articulation method). The stimuli were designed to be managerially relevant and realistic (53 aspects in automobiles, 22 aspects for mobile phones) so that consumers' decisions approximated in vivo decisions. One to three weeks later, consumers were asked which automobiles (or mobile phones) they would consider. Qualitative comments and response times are consistent with the implications of the measures of predictive ability. 2014-10-09T16:08:21Z 2014-10-09T16:08:21Z 2014-01 Article http://purl.org/eprint/type/JournalArticle 07376782 http://hdl.handle.net/1721.1/90826 Hauser, John R., Songting Dong, and Min Ding. “Self-Reflection and Articulated Consumer Preferences.” J Prod Innov Manag 31, no. 1 (October 4, 2013): 17–32. https://orcid.org/0000-0001-8510-8640 en_US http://dx.doi.org/10.1111/jpim.12077 Journal of Product Innovation Management Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf John Wiley & Sons, Inc Prof. Hauser via Alex Caracuzzo
spellingShingle Hauser, John R.
Dong, Songting
Ding, Min
Self-Reflection and Articulated Consumer Preferences
title Self-Reflection and Articulated Consumer Preferences
title_full Self-Reflection and Articulated Consumer Preferences
title_fullStr Self-Reflection and Articulated Consumer Preferences
title_full_unstemmed Self-Reflection and Articulated Consumer Preferences
title_short Self-Reflection and Articulated Consumer Preferences
title_sort self reflection and articulated consumer preferences
url http://hdl.handle.net/1721.1/90826
https://orcid.org/0000-0001-8510-8640
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