Product Recommendations in E-Commerce Retailing Applications
©2008
Thesis
XX,
204 Pages
Open Access
Series:
Forschungsergebnisse der Wirtschaftsuniversität Wien, Volume 17
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.
Details
- Pages
- XX, 204
- Publication Year
- 2008
- ISBN (PDF)
- 9783631754528
- ISBN (Softcover)
- 9783631566220
- DOI
- 10.3726/b13971
- Open Access
- CC-BY
- Language
- English
- Publication date
- 2018 (September)
- Keywords
- Electronic Commerce Buchhandel Empfehlungssystem Verbraucherverhalten Konsumentenstudie Virtuelle Gemeinschaft Produktempfehlung Entscheidungsprozess
- Published
- Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2008. XX, 204 pp., 7 fig., num. tables and graphs
- Product Safety
- Peter Lang Group AG