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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Knotzer, Nicolas (Autor)
Formato: Tesis Electrónico eBook
Idioma:Inglés
Publicado: Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften [2018], ©2008.
Edición:1st, New ed.
Colección:Free online access: JSTOR.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Knotzer, Nicolas.  |4 aut 
245 1 0 |a Product Recommendations in E-Commerce Retailing Applications  |c Nicolas Knotzer. 
250 |a 1st, New ed. 
260 |a Frankfurt a.M.  |b Peter Lang GmbH, Internationaler Verlag der Wissenschaften  |c [2018], ©2008. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Forschungsergebnisse der Wirtschaftsuniversität Wien  |v 17. 
502 |a Thesis (Doctoral). 
505 0 |a Classification and application models of recommender systems -- Business goals -- The consumer decision process -- Virtual communities and network effects -- Consumer-generated content (product reviews) -- Functional aspects of recommender systems -- Design aspects -- Personalized and non-personalized recommendation methods -- Research model and hypothesis -- Influence of psychographic and sociodemographic determinants on the interest in personalized recommendations. 
520 |a 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. 
545 0 |a The Author: Nicolas Knotzer studied business administration with the focus on information systems, management control and project management. From 2001 to 2006 he joined the Institute for Management Information Systems at the Vienna University of Economics and Business Administration. The author received his doctoral degree in 2006. 
588 0 |a Online resource; title from title screen (viewed December 28, 2018). 
590 |a JSTOR  |b Books at JSTOR All Purchased 
590 |a JSTOR  |b Books at JSTOR Open Access 
650 0 |a Electronic commerce. 
650 0 |a Recommender systems (Information filtering) 
650 0 |a Internet marketing. 
650 6 |a Commerce électronique. 
650 6 |a Systèmes de recommandation (Filtrage d'information) 
650 6 |a Marketing sur Internet. 
650 7 |a Electronic commerce  |2 fast 
650 7 |a Internet marketing  |2 fast 
650 7 |a Recommender systems (Information filtering)  |2 fast 
655 2 |a Academic Dissertation 
655 7 |a dissertations.  |2 aat 
655 7 |a Academic theses  |2 fast 
655 7 |a Academic theses.  |2 lcgft 
655 7 |a Thèses et écrits académiques.  |2 rvmgf 
776 0 8 |i Print version:  |z 9783631566220 
830 0 |a Free online access: JSTOR. 
856 4 0 |u https://jstor.uam.elogim.com/stable/10.2307/j.ctv9hj934  |z Texto completo 
938 |a Peter Lang  |b LANG  |n 9783631754528 
994 |a 92  |b IZTAP