Product Recommendations in E-Commerce Retailing Applications
Material type: TextSeries: Forschungsergebnisse der Wirtschaftsuniversitaet Wien ; 17Publisher: Bern Peter Lang International Academic Publishers 2018Description: 1 online resource (222 pages)Content type:- text
- computer
- online resource
Item type | Current library | Call number | Status | Date due | Barcode | |
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E-Book | Directory of Open Access Books | Available |
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.
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