LEADER 05124nam 22006973 450 001 9910297039503321 005 20230914204937.0 010 $a3-631-75452-3 024 7 $a10.3726/b13971 035 $a(CKB)4100000007277002 035 $a(OAPEN)1003224 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/37317 035 $a(MiAaPQ)EBC30686084 035 $a(Au-PeEL)EBL30686084 035 $a(EXLCZ)994100000007277002 100 $a20230911d2007 uy 0 101 0 $aeng 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProduct Recommendations in e-Commerce Retailing Applications 205 $aFirst edition. 210 1$aFrankfurt am Main :$cPeter Lang GmbH, Internationaler Verlag der Wissenschaften,$d2007. 210 4$dİ2008. 215 $a1 online resource (222 pages) 225 1 $aForschungsergebnisse der Wirtschaftsuniversitaet Wien. 311 $a3-631-56622-0 327 $aCover -- 1 Introduction -- 1.1 Research Goal -- 1.2 Contents and Organization -- 2 Recommender Systems - Definition, Classification, and Marketing Perspectives -- 2.1 Working Definitions -- 2.2 Classification -- 2.3 Application Models of Recommender Systems -- 2.3.1 Broad Recommendation Lists -- 2.3.2 Customer Comments and Ratings -- 2.3.3 Notification Services -- 2.3.4 Product Associated Recommendations -- 2.3.5 Persistent Personalization -- 2.4 The Consumer Decision Process -- 2.4.1 Need Recognition -- 2.4.2 Information Search -- 2.4.3 Pre-Purchase Evaluation of Alternatives -- 2.4.4 Purchase -- 2.4.5 Post-Purchase Processes -- 2.5 Virtual Communities -- 2.5.1 Characteristics and Benefits -- 2.5.2 Virtual Communities and Network Effects -- 2.5.3 Community Building -- 3 Recommender Systems - Functional Perspectives -- 3.1 Input Data of Recommender Systems -- 3.2 Output Data of Recommender Systems -- 3.3 Measurement Scales for Preference Elicitation -- 3.4 Information Delivery -- 3.5 Recommendation Methods -- 3.5.1 Non-Personalized Recommendation Methods -- 3.5.2 Personalized Recommendation Methods -- 3.5.2.1 Synopsis of Information Filtering Methods -- 3.5.2.2 Human Approaches towards Information Filtering -- 3.5.2.3 Collaborative Filtering -- 3.5.2.4 Attribute-Based Filtering -- 3.5.2.5 Rules-Based Filtering -- 4 Research Model, Hypotheses, and Methodology -- 4.1 Problem Statement -- 4.2 Research Questions and Model -- 4.3 Methodology and Research Design -- 5 Results -- 5.1 Descriptive Results -- 5.1.1 Sample Size and Demographic Data -- 5.1.2 Internet Usage -- 5.1.3 Online Shopping -- 5.1.4 Online Product Recommendations -- 5.1.5 Ratings and Comments -- 5.2 Verification of the Research Model -- 5.2.1 Exploratory Factor Analysis -- 5.2.2 Psychographic Hypotheses - Structural Equation Model -- 5.2.3 Psychographic Hypotheses - Regression Model. 327 $a5.2.4 Sociodemographic Hypotheses -- 6 Summary and Directions for Further Research -- 6.1 Main Findings -- 6.2 Limitations and Directions for Further Research -- Bibliography -- Appendices -- A AMOS Output -- A.1 Survey AUM -- A.2 Survey AON. 330 $aThe book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations. 410 0$aForschungsergebnisse der Wirtschaftsuniversita?t Wien. 606 $aDistribution (Economic theory)$xManagement 606 $aWarehouses$xManagement 606 $aMarketing research 610 $aApplications 610 $aBuchhandel 610 $aCommerce 610 $aElectronic Commerce 610 $aEmpfehlungssystem 610 $aEntscheidungsprozess 610 $aKnotzer 610 $aKonsumentenstudie 610 $aProduct 610 $aProduktempfehlung 610 $aRecommendations 610 $aRetailing 610 $aVerbraucherverhalten 610 $aVirtuelle Gemeinschaft 615 0$aDistribution (Economic theory)$xManagement. 615 0$aWarehouses$xManagement. 615 0$aMarketing research. 676 $a658.8/72 700 $aKnotzer$b Nicolas$0913826 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910297039503321 996 $aProduct Recommendations in E-Commerce Retailing Applications$92047473 997 $aUNINA