Product Recommendations in E-Commerce Retailing Applications /

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 quantitati...

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Bibliographic Details
Main Author: Knotzer, Nicolas (Author)
Corporate Author: JSTOR (Organization)
Format: Thesis eBook
Language:English
Published: Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, [2018]
Edition:1st, New ed.
Series:Forschungsergebnisse der Wirtschaftsuniversität Wien ; 17.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
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.
Item Description:Electronic resource.
Physical Description:1 online resource.
ISBN:9783631754528
3631754523