LEADER 00000cam a2200649M 4500
001 on1080474957
003 OCoLC
005 20190712071759.5
006 m o d
007 cr |||||||||||
008 181228t20182008gw om 000 0 eng d
020 9783631754528|q(electronic book)
020 3631754523|q(electronic book)
024 3 9783631754528
024 7 10.3726/b13971|2doi
035 (OCoLC)1080474957
037 22573/ctv9gtqzh|bJSTOR
040 PLANG|beng|epn|cPLANG|dJSTOR|dICN|dOCLCF|dOCLCQ|dOCLCO
049 RIDW
050 4 HF5548.32
082 04 658.8/72|223
090 HF5548.32
100 1 Knotzer, Nicolas,|0https://id.loc.gov/authorities/names/
n2009004552|eauthor.
245 10 Product Recommendations in E-Commerce Retailing
Applications /|cNicolas Knotzer.
250 1st, New ed.
264 1 Frankfurt a.M. :|bPeter Lang GmbH, Internationaler Verlag
der Wissenschaften,|c[2018]
264 4 |c©2008
300 1 online resource.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file|2rdaft
490 1 Forschungsergebnisse der Wirtschaftsuniversität Wien ;|v17
502 Thesis (Doctoral).
505 0 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 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 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 Online resource; title from title screen (viewed December
28, 2018).
590 JSTOR|bBooks at JSTOR Open Access
650 0 Electronic commerce.|0https://id.loc.gov/authorities/
subjects/sh96008434
650 0 Recommender systems (Information filtering)|0https://
id.loc.gov/authorities/subjects/sh2007003098
650 0 Internet marketing.|0https://id.loc.gov/authorities/
subjects/sh95005028
650 7 Electronic commerce.|2fast|0https://id.worldcat.org/fast/
906906
650 7 Recommender systems (Information filtering)|2fast|0https:/
/id.worldcat.org/fast/1743365
650 7 Internet marketing.|2fast|0https://id.worldcat.org/fast/
977272
655 4 Electronic books.
655 7 Academic theses.|2lcgft|0https://id.loc.gov/authorities/
genreForms/gf2014026039
655 7 Academic theses.|2fast|0https://id.worldcat.org/fast/
1726453
776 08 |iPrint version:|z9783631566220
830 0 Forschungsergebnisse der Wirtschaftsuniversität Wien ;
|0https://id.loc.gov/authorities/names/n92069479|v17.
856 40 |uhttps://www.jstor.org/stable/10.2307/j.ctv9hj934|zOnline
eBook. Open Access via JSTOR.
901 MARCIVE 20231220
948 |d20190820|cJSTOR EBSCO|tJSTOROpenAccess
EBSCOebooksacademic UPDATES 5472J 1248 BOTH 7-12-19|lridw
948 |d20190128|cJSTOR|tJSTOROpenAccess NEW 1-18-19 85|lridw
994 92|bRID
