The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis
Online consumers face complex purchase decisions due to the huge selection of products and the vast amount of information available. Online retailers therefore try to support consumer decision making by providing recommendations generated by previous consumers as well as recommendations generated by...
Gespeichert in:
Veröffentlicht in: | International journal of electronic commerce 2014-10, Vol.19 (1), p.129-162 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 162 |
---|---|
container_issue | 1 |
container_start_page | 129 |
container_title | International journal of electronic commerce |
container_volume | 19 |
creator | Baum, Daniela Spann, Martin |
description | Online consumers face complex purchase decisions due to the huge selection of products and the vast amount of information available. Online retailers therefore try to support consumer decision making by providing recommendations generated by previous consumers as well as recommendations generated by recommender systems. The goal of this study is to analyze the interplay between online consumer reviews and recommender systems and its effect on consumers' decision making. We experimentally manipulate the provision of online consumer reviews and provider-generated recommendations for high- and low-involvement products, as well as search and experience products. Using a representative sample of online consumers, we find that providing online consumer reviews does not necessarily have to be beneficial for an online retailer, as inconsistent recommendations do negatively influence consumers' purchase decisions. In addition, by providing positive opinions of previous customers in addition to a recommender system's recommendation, online retailers may increase the effectiveness of their recommender system. However, if a previous customer's recommendation contradicts that of a recommender system, positive consumer reviews may even have negative consequences for online retailers. |
doi_str_mv | 10.2753/JEC1086-4415190104 |
format | Article |
fullrecord | <record><control><sourceid>jstor_cross</sourceid><recordid>TN_cdi_crossref_primary_10_2753_JEC1086_4415190104</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>24695849</jstor_id><sourcerecordid>24695849</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-e50150e91880e3d571cfbb29e5940c738ad029c430aebd1cce599215a600172f3</originalsourceid><addsrcrecordid>eNp9kNFLwzAQxosoOKf_gCAUfK5e0qRtBB9mmToZDHQ-h6y9YkebzKRz9r830qlvPuVyv-877r4gOCdwRVMeXz9NcwJZEjFGOBFAgB0EI8J5GokYyKGvf-hxcOLcGoBQ4DAK5PINw5nu0G4a1Yd32O0QdbjQTa0xzI122xZt-IwfNe5cqHTp68K0LerS919612HrbsKJDqefG7S1B51q_F81vavdaXBUqcbh2f4dB6_302X-GM0XD7N8Mo8KFpMuQg6EAwqSZYBxyVNSVKsVFcgFgyKNM1UCFV4LClclKQoPBCVcJf6SlFbxOLgc5m6sed-i6-TabK1fwkmSUGD-WsG8ig6qwhrnLFZy4zdWtpcE5HeQch-k_AvSmy4G09p1xv46KEsEz5jw_Hbgta6MbdXO2KaUneobYyurdFE7Gf8z_wv9toKv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1620420594</pqid></control><display><type>article</type><title>The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis</title><source>Business Source Complete</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Baum, Daniela ; Spann, Martin</creator><creatorcontrib>Baum, Daniela ; Spann, Martin</creatorcontrib><description>Online consumers face complex purchase decisions due to the huge selection of products and the vast amount of information available. Online retailers therefore try to support consumer decision making by providing recommendations generated by previous consumers as well as recommendations generated by recommender systems. The goal of this study is to analyze the interplay between online consumer reviews and recommender systems and its effect on consumers' decision making. We experimentally manipulate the provision of online consumer reviews and provider-generated recommendations for high- and low-involvement products, as well as search and experience products. Using a representative sample of online consumers, we find that providing online consumer reviews does not necessarily have to be beneficial for an online retailer, as inconsistent recommendations do negatively influence consumers' purchase decisions. In addition, by providing positive opinions of previous customers in addition to a recommender system's recommendation, online retailers may increase the effectiveness of their recommender system. However, if a previous customer's recommendation contradicts that of a recommender system, positive consumer reviews may even have negative consequences for online retailers.</description><identifier>ISSN: 1086-4415</identifier><identifier>EISSN: 1557-9301</identifier><identifier>DOI: 10.2753/JEC1086-4415190104</identifier><language>eng</language><publisher>Abingdon: Routledge</publisher><subject>business-to-consumer (B2C) e-commerce ; Consumer behavior ; Consumers ; Customer feedback ; Decision making ; e-tail ; Electronic commerce ; electronic word of mouth (eWOM) ; online consumer reviews ; online experiments ; recommender system ; Recommender systems ; Studies</subject><ispartof>International journal of electronic commerce, 2014-10, Vol.19 (1), p.129-162</ispartof><rights>Copyright Taylor & Francis Group, LLC 2014</rights><rights>Copyright © 2014 M.E. Sharpe, Inc.</rights><rights>Copyright M. E. Sharpe Inc. Fall 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-e50150e91880e3d571cfbb29e5940c738ad029c430aebd1cce599215a600172f3</citedby><cites>FETCH-LOGICAL-c431t-e50150e91880e3d571cfbb29e5940c738ad029c430aebd1cce599215a600172f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24695849$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24695849$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27922,27923,58015,58248</link.rule.ids></links><search><creatorcontrib>Baum, Daniela</creatorcontrib><creatorcontrib>Spann, Martin</creatorcontrib><title>The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis</title><title>International journal of electronic commerce</title><description>Online consumers face complex purchase decisions due to the huge selection of products and the vast amount of information available. Online retailers therefore try to support consumer decision making by providing recommendations generated by previous consumers as well as recommendations generated by recommender systems. The goal of this study is to analyze the interplay between online consumer reviews and recommender systems and its effect on consumers' decision making. We experimentally manipulate the provision of online consumer reviews and provider-generated recommendations for high- and low-involvement products, as well as search and experience products. Using a representative sample of online consumers, we find that providing online consumer reviews does not necessarily have to be beneficial for an online retailer, as inconsistent recommendations do negatively influence consumers' purchase decisions. In addition, by providing positive opinions of previous customers in addition to a recommender system's recommendation, online retailers may increase the effectiveness of their recommender system. However, if a previous customer's recommendation contradicts that of a recommender system, positive consumer reviews may even have negative consequences for online retailers.</description><subject>business-to-consumer (B2C) e-commerce</subject><subject>Consumer behavior</subject><subject>Consumers</subject><subject>Customer feedback</subject><subject>Decision making</subject><subject>e-tail</subject><subject>Electronic commerce</subject><subject>electronic word of mouth (eWOM)</subject><subject>online consumer reviews</subject><subject>online experiments</subject><subject>recommender system</subject><subject>Recommender systems</subject><subject>Studies</subject><issn>1086-4415</issn><issn>1557-9301</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kNFLwzAQxosoOKf_gCAUfK5e0qRtBB9mmToZDHQ-h6y9YkebzKRz9r830qlvPuVyv-877r4gOCdwRVMeXz9NcwJZEjFGOBFAgB0EI8J5GokYyKGvf-hxcOLcGoBQ4DAK5PINw5nu0G4a1Yd32O0QdbjQTa0xzI122xZt-IwfNe5cqHTp68K0LerS919612HrbsKJDqefG7S1B51q_F81vavdaXBUqcbh2f4dB6_302X-GM0XD7N8Mo8KFpMuQg6EAwqSZYBxyVNSVKsVFcgFgyKNM1UCFV4LClclKQoPBCVcJf6SlFbxOLgc5m6sed-i6-TabK1fwkmSUGD-WsG8ig6qwhrnLFZy4zdWtpcE5HeQch-k_AvSmy4G09p1xv46KEsEz5jw_Hbgta6MbdXO2KaUneobYyurdFE7Gf8z_wv9toKv</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Baum, Daniela</creator><creator>Spann, Martin</creator><general>Routledge</general><general>M.E. Sharpe, Inc</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>20141001</creationdate><title>The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis</title><author>Baum, Daniela ; Spann, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-e50150e91880e3d571cfbb29e5940c738ad029c430aebd1cce599215a600172f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>business-to-consumer (B2C) e-commerce</topic><topic>Consumer behavior</topic><topic>Consumers</topic><topic>Customer feedback</topic><topic>Decision making</topic><topic>e-tail</topic><topic>Electronic commerce</topic><topic>electronic word of mouth (eWOM)</topic><topic>online consumer reviews</topic><topic>online experiments</topic><topic>recommender system</topic><topic>Recommender systems</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baum, Daniela</creatorcontrib><creatorcontrib>Spann, Martin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>International journal of electronic commerce</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baum, Daniela</au><au>Spann, Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis</atitle><jtitle>International journal of electronic commerce</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>19</volume><issue>1</issue><spage>129</spage><epage>162</epage><pages>129-162</pages><issn>1086-4415</issn><eissn>1557-9301</eissn><abstract>Online consumers face complex purchase decisions due to the huge selection of products and the vast amount of information available. Online retailers therefore try to support consumer decision making by providing recommendations generated by previous consumers as well as recommendations generated by recommender systems. The goal of this study is to analyze the interplay between online consumer reviews and recommender systems and its effect on consumers' decision making. We experimentally manipulate the provision of online consumer reviews and provider-generated recommendations for high- and low-involvement products, as well as search and experience products. Using a representative sample of online consumers, we find that providing online consumer reviews does not necessarily have to be beneficial for an online retailer, as inconsistent recommendations do negatively influence consumers' purchase decisions. In addition, by providing positive opinions of previous customers in addition to a recommender system's recommendation, online retailers may increase the effectiveness of their recommender system. However, if a previous customer's recommendation contradicts that of a recommender system, positive consumer reviews may even have negative consequences for online retailers.</abstract><cop>Abingdon</cop><pub>Routledge</pub><doi>10.2753/JEC1086-4415190104</doi><tpages>34</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1086-4415 |
ispartof | International journal of electronic commerce, 2014-10, Vol.19 (1), p.129-162 |
issn | 1086-4415 1557-9301 |
language | eng |
recordid | cdi_crossref_primary_10_2753_JEC1086_4415190104 |
source | Business Source Complete; JSTOR Archive Collection A-Z Listing |
subjects | business-to-consumer (B2C) e-commerce Consumer behavior Consumers Customer feedback Decision making e-tail Electronic commerce electronic word of mouth (eWOM) online consumer reviews online experiments recommender system Recommender systems Studies |
title | The Interplay Between Online Consumer Reviews and Recommender Systems: An Experimental Analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T18%3A04%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Interplay%20Between%20Online%20Consumer%20Reviews%20and%20Recommender%20Systems:%20An%20Experimental%20Analysis&rft.jtitle=International%20journal%20of%20electronic%20commerce&rft.au=Baum,%20Daniela&rft.date=2014-10-01&rft.volume=19&rft.issue=1&rft.spage=129&rft.epage=162&rft.pages=129-162&rft.issn=1086-4415&rft.eissn=1557-9301&rft_id=info:doi/10.2753/JEC1086-4415190104&rft_dat=%3Cjstor_cross%3E24695849%3C/jstor_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1620420594&rft_id=info:pmid/&rft_jstor_id=24695849&rfr_iscdi=true |