Show simple item record

dc.contributor.authorVerma, Rohit
dc.date.accessioned2020-09-12T21:05:55Z
dc.date.available2020-09-12T21:05:55Z
dc.date.issued2010-11-01
dc.identifier.other4840397
dc.identifier.urihttps://hdl.handle.net/1813/71901
dc.description.abstractCustomer choice modeling techniques have grown in sophistication and applicability, so that this methodology can be useful for assessing the services and amenities that are market drivers for customers of hospitality businesses. In essence, customer choice modeling is an experimental process that seeks to identify the key market drivers by comparing respondents’ choices among packages of products and services, known as choice sets. By comparing the ratings of various choice set packages, one can assess which features of a product or service are most critical to the purchase decision. Also helpful in customer choice modeling is analysis of existing purchase patterns, which can be collected from point-of-sale devices and web activity. However, valuable though it is, collected data are backward looking—telling what customers did, but not what they will do. In contrast, customer choice modeling can look forward to see what customers might like, provided the experiment is designed correctly.
dc.language.isoen_US
dc.rightsRequired Publisher Statement: © Cornell University. Reprinted with permission. All rights reserved.
dc.subjectcustomer choice modeling
dc.subjectdiscrete choice analysis
dc.titleCustomer Choice Modeling in Hospitality Service: A Review of Past Research and Discussion of Some New Applications
dc.typearticle
dc.description.legacydownloadsVerma24_Customer_Choice_Modeling.pdf: 1660 downloads, before Aug. 1, 2020.
local.authorAffiliationVerma, Rohit: rv54@cornell.edu Cornell University


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Statistics