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Product Recommendations in E-commerce Retailing Applications
Nicolas Knotzer
2008
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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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Keywords
- applications
- Buchhandel
- Business & management
- Commerce
- Distribution & warehousing management
- Economics, finance, business & management
- Electronic commerce
- Empfehlungssystem
- Entscheidungsprozess
- Internet marketing
- Knotzer
- Konsumentenstudie
- Management & management techniques
- Management of specific areas
- market research
- Product
- Produktempfehlung
- Recommendations
- Recommender systems (Information filtering)
- Retailing
- Sales & marketing
- thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing::KJSM Market research
- Verbraucherverhalten
- Virtuelle Gemeinschaft
Links
DOI: 10.3726/b13971Editions