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oapen-20.500.12657-268212022-04-26T12:37:25Z Product Recommendations in E-Commerce Retailing Applications Knotzer, Nicolas Applications Buchhandel Commerce Electronic Commerce Empfehlungssystem Entscheidungsprozess Knotzer Konsumentenstudie Product Produktempfehlung Recommendations Retailing Verbraucherverhalten Virtuelle Gemeinschaft bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJM Management & management techniques::KJMV Management of specific areas::KJMV9 Distribution & warehousing management bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJS Sales & marketing::KJSM Market research 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. 2019-01-10 23:55 2018-12-01 23:55:55 2020-01-16 13:02:09 2020-04-01T11:25:23Z 2020-04-01T11:25:23Z 2018 book 1003224 OCN: 1082943379 9783631754528 http://library.oapen.org/handle/20.500.12657/26821 eng Forschungsergebnisse der Wirtschaftsuniversitaet Wien application/pdf n/a 1003224.pdf Peter Lang International Academic Publishers 10.3726/b13971 10.3726/b13971 e927e604-2954-4bf6-826b-d5ecb47c6555 9783631754528 17 222 Bern open access
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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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