Author:
Xiao Y.,Cui Y.,Raut N.,Januar J. H.,Koskinen J.,Contractor N.,Chen W.,Sha Z.
Abstract
AbstractCustomer survey data is critical to supporting customer preference modeling in engineering design. We present a framework of information retrieval and survey design to ensure the collection of quality customer survey data for analyzing customers’ preferences in their consideration-then-choice decision-making and the related social impact. The utility of our approach is demonstrated through the survey design for customers in the vacuum cleaner market. Based on the data, we performed descriptive analysis and network-based modeling to understand customers’ preferences in consideration and choice.
Publisher
Cambridge University Press (CUP)
Reference22 articles.
1. Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions;Shocker;Marketing Letters,1991
2. Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data;Tuarob;Journal of Computing and Information Science in Engineering,2015
3. Automated Marketing Research Using Online Customer Reviews;Lee;Journal of Marketing Research,2011
4. Name generators in surveys of personal networks;Campbell;Social Networks,1991
5. Identifying Key Product Attributes and Their Importance Levels From Online Customer Reviews;Rai;Volume 3: 38th Design Automation Conference, Parts A and B,2012
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