A Bayesian approach for analyzing the services of banking institutions.: An article from: Journal of Consumer Affairs
Book Details
Author(s)Greg M. Lepak
ISBN / ASINB0009886OU
ISBN-13978B0009886O7
AvailabilityAvailable for download now
Sales Rank13,736,398
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from Journal of Consumer Affairs, published by American Council on Consumer Interests on June 22, 1998. The length of the article is 7293 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
From the supplier: This study illustrates an adaptive Bayesian framework for examining consumers' perceptions of the services of banking institutions in a target market. The approach uses multiple-measures data to estimate the significant determinants of consumers' preferences for competing banks in the market. This is accomplished essentially by incorporating prior structural information into analyses, information that is used to obtain a stabilized version of the observed predictor-criterion covariance matrix. Bayesian structural regression estimates are shown to provide a banking institution with reliable information for use in positioning itself in its financial marketplace. The paper also provides a number of implications for the use of the methodology in practical marketing response applications. (Reprinted by permission of the publisher.)
Citation Details
Title: A Bayesian approach for analyzing the services of banking institutions.
Author: Greg M. Lepak
Publication:Journal of Consumer Affairs (Refereed)
Date: June 22, 1998
Publisher: American Council on Consumer Interests
Volume: v32 Issue: n1 Page: p121(24)
Distributed by Thomson Gale
From the supplier: This study illustrates an adaptive Bayesian framework for examining consumers' perceptions of the services of banking institutions in a target market. The approach uses multiple-measures data to estimate the significant determinants of consumers' preferences for competing banks in the market. This is accomplished essentially by incorporating prior structural information into analyses, information that is used to obtain a stabilized version of the observed predictor-criterion covariance matrix. Bayesian structural regression estimates are shown to provide a banking institution with reliable information for use in positioning itself in its financial marketplace. The paper also provides a number of implications for the use of the methodology in practical marketing response applications. (Reprinted by permission of the publisher.)
Citation Details
Title: A Bayesian approach for analyzing the services of banking institutions.
Author: Greg M. Lepak
Publication:Journal of Consumer Affairs (Refereed)
Date: June 22, 1998
Publisher: American Council on Consumer Interests
Volume: v32 Issue: n1 Page: p121(24)
Distributed by Thomson Gale
