Product Recommendations in E-Commerce Retailing Applications
Publisher: Peter Lang International Academic Publishers
Published: 2018
Place of publication: Bern
Number of pages: 222
Subjects: Distribution & warehousing management; Market research
Description: 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.
Notes: Open Access Unrestricted online access

Creative Commons https://creativecommons.org/licenses/by/4.0/legalcode

English