Product Recommendations in E-Commerce Retailing Applications

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Bibliographic Details
Author / Creator:Knotzer, Nicolas.
Edition:1st, New ed.
Imprint:Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften [2018], ©2008.
Description:1 online resource.
Language:English
Series:Forschungsergebnisse der Wirtschaftsuniversität Wien 17
Subject:
Format: E-Resource Dissertations Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11761717
Hidden Bibliographic Details
ISBN:9783631754528
3631754523
Notes:Thesis (Doctoral).
The Author: Nicolas Knotzer studied business administration with the focus on information systems, management control and project management. From 2001 to 2006 he joined the Institute for Management Information Systems at the Vienna University of Economics and Business Administration. The author received his doctoral degree in 2006.
Online resource; title from title screen (viewed December 28, 2018).
Summary:The book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations.
Other form:Print version: 9783631566220
Standard no.:9783631754528
10.3726/b13971