Loading…
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and click-stream analysis enable firms to customi...
Saved in:
Published in: | Information systems research 2005-09, Vol.16 (3), p.271-291 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873 |
---|---|
cites | cdi_FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873 |
container_end_page | 291 |
container_issue | 3 |
container_start_page | 271 |
container_title | Information systems research |
container_volume | 16 |
creator | Tam, Kar Yan Ho, Shuk Ying |
description | With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and click-stream analysis enable firms to customize their offerings at the individual level. While there has been a lot of hype about web personalization recently, our understanding of its effectiveness is far from conclusive. Drawing on the elaboration likelihood model (ELM) literature, this research takes the view that the interaction between a firm and its customers is one of communicating a persuasive message to the customers driven by business objectives. In particular, we examine three major elements of a web personalization strategy: level of preference matching, recommendation set size, and sorting cue. These elements can be manipulated by a firm in implementing its personalization strategy. This research also investigates a personal disposition, need for cognition, which plays a role in assessing the effectiveness of web personalization. Research hypotheses are tested using 1,000 subjects in three field experiments based on a ring-tone download website. Our findings indicate the saliency of these variables in different stages of the persuasion process. Theoretical and practical implications of the findings are discussed. |
doi_str_mv | 10.1287/isre.1050.0058 |
format | article |
fullrecord | <record><control><sourceid>gale_jstor</sourceid><recordid>TN_cdi_jstor_primary_23015755</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A138453689</galeid><jstor_id>23015755</jstor_id><sourcerecordid>A138453689</sourcerecordid><originalsourceid>FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873</originalsourceid><addsrcrecordid>eNqFkctrGzEQxpeSQPPotbfC0lx6WWckWQ_3ZkJe4JBCW0pPQtaObLnrlSutE5y_PtpsCRRCgkAjDb9vNKOvKD4SGBGq5KlPEUcEOIwAuHpXHBBORcU5E3v5DGNZyby9Lw5TWgEAYxN2UPz-hfPyG8YUWtP4B9P50JYmleYpuTWpv3_voulwsftaTtvyvDHzEAdw5v9g45ch1OVNqLF5Em3Qdv4Oj4t9Z5qEH_7Fo-LnxfmPs6tqdnt5fTadVZYz6Kr53FGQIHg94ZK6CR9bZIxQMEpyFFQYgoCOoXIonVOc8RpBGGtdbZyS7Kj4PNTdxPB3i6nTq7CNeZqkKSgiJBEqQycDtDANat-6kEeya5-snhKmxvmT1CRT1QvUAluMpgktOp_T__GjF_i8alx7-5rAxpCyXU5vol-buNMEdG-i7k3UvYm6NzELPg2CVepCfKYpA8Jltva54_7xuE5v1_sy8Eu_WN77OHTdC_uYdkkToZmmkrBH9_m1sQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>208167168</pqid></control><display><type>article</type><title>Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective</title><source>Business Source Ultimate</source><source>Informs</source><source>JSTOR Archival Journals and Primary Sources Collection</source><source>ABI/INFORM Global</source><creator>Tam, Kar Yan ; Ho, Shuk Ying</creator><creatorcontrib>Tam, Kar Yan ; Ho, Shuk Ying</creatorcontrib><description>With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and click-stream analysis enable firms to customize their offerings at the individual level. While there has been a lot of hype about web personalization recently, our understanding of its effectiveness is far from conclusive. Drawing on the elaboration likelihood model (ELM) literature, this research takes the view that the interaction between a firm and its customers is one of communicating a persuasive message to the customers driven by business objectives. In particular, we examine three major elements of a web personalization strategy: level of preference matching, recommendation set size, and sorting cue. These elements can be manipulated by a firm in implementing its personalization strategy. This research also investigates a personal disposition, need for cognition, which plays a role in assessing the effectiveness of web personalization. Research hypotheses are tested using 1,000 subjects in three field experiments based on a ring-tone download website. Our findings indicate the saliency of these variables in different stages of the persuasion process. Theoretical and practical implications of the findings are discussed.</description><identifier>ISSN: 1047-7047</identifier><identifier>EISSN: 1526-5536</identifier><identifier>DOI: 10.1287/isre.1050.0058</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>Behavior ; Building customization ; Collaboration ; Communication ; Customer information files ; Customer services ; Customers ; Customization ; Data mining ; Decision making ; Elaboration likelihood model ; Empowerment ; human computer interaction ; Hypotheses ; Information processing ; Information storage and retrieval systems ; Information technology ; Internet ; Need for cognition ; Persuasion ; preference matching ; recommendation set size ; Recommendations ; Ring tones ; Saliency ; sorting cue ; Studies ; web personalization ; Websites ; World Wide Web</subject><ispartof>Information systems research, 2005-09, Vol.16 (3), p.271-291</ispartof><rights>2005 INFORMS</rights><rights>COPYRIGHT 2005 Institute for Operations Research and the Management Sciences</rights><rights>Copyright Institute for Operations Research and the Management Sciences Sep 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873</citedby><cites>FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/208167168/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/208167168?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3692,11688,27924,27925,36060,44363,58238,58471,62616,74895</link.rule.ids></links><search><creatorcontrib>Tam, Kar Yan</creatorcontrib><creatorcontrib>Ho, Shuk Ying</creatorcontrib><title>Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective</title><title>Information systems research</title><description>With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and click-stream analysis enable firms to customize their offerings at the individual level. While there has been a lot of hype about web personalization recently, our understanding of its effectiveness is far from conclusive. Drawing on the elaboration likelihood model (ELM) literature, this research takes the view that the interaction between a firm and its customers is one of communicating a persuasive message to the customers driven by business objectives. In particular, we examine three major elements of a web personalization strategy: level of preference matching, recommendation set size, and sorting cue. These elements can be manipulated by a firm in implementing its personalization strategy. This research also investigates a personal disposition, need for cognition, which plays a role in assessing the effectiveness of web personalization. Research hypotheses are tested using 1,000 subjects in three field experiments based on a ring-tone download website. Our findings indicate the saliency of these variables in different stages of the persuasion process. Theoretical and practical implications of the findings are discussed.</description><subject>Behavior</subject><subject>Building customization</subject><subject>Collaboration</subject><subject>Communication</subject><subject>Customer information files</subject><subject>Customer services</subject><subject>Customers</subject><subject>Customization</subject><subject>Data mining</subject><subject>Decision making</subject><subject>Elaboration likelihood model</subject><subject>Empowerment</subject><subject>human computer interaction</subject><subject>Hypotheses</subject><subject>Information processing</subject><subject>Information storage and retrieval systems</subject><subject>Information technology</subject><subject>Internet</subject><subject>Need for cognition</subject><subject>Persuasion</subject><subject>preference matching</subject><subject>recommendation set size</subject><subject>Recommendations</subject><subject>Ring tones</subject><subject>Saliency</subject><subject>sorting cue</subject><subject>Studies</subject><subject>web personalization</subject><subject>Websites</subject><subject>World Wide Web</subject><issn>1047-7047</issn><issn>1526-5536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNqFkctrGzEQxpeSQPPotbfC0lx6WWckWQ_3ZkJe4JBCW0pPQtaObLnrlSutE5y_PtpsCRRCgkAjDb9vNKOvKD4SGBGq5KlPEUcEOIwAuHpXHBBORcU5E3v5DGNZyby9Lw5TWgEAYxN2UPz-hfPyG8YUWtP4B9P50JYmleYpuTWpv3_voulwsftaTtvyvDHzEAdw5v9g45ch1OVNqLF5Em3Qdv4Oj4t9Z5qEH_7Fo-LnxfmPs6tqdnt5fTadVZYz6Kr53FGQIHg94ZK6CR9bZIxQMEpyFFQYgoCOoXIonVOc8RpBGGtdbZyS7Kj4PNTdxPB3i6nTq7CNeZqkKSgiJBEqQycDtDANat-6kEeya5-snhKmxvmT1CRT1QvUAluMpgktOp_T__GjF_i8alx7-5rAxpCyXU5vol-buNMEdG-i7k3UvYm6NzELPg2CVepCfKYpA8Jltva54_7xuE5v1_sy8Eu_WN77OHTdC_uYdkkToZmmkrBH9_m1sQ</recordid><startdate>20050901</startdate><enddate>20050901</enddate><creator>Tam, Kar Yan</creator><creator>Ho, Shuk Ying</creator><general>INFORMS</general><general>The Institute for Operations Research and the Management Sciences (INFORMS)</general><general>Institute for Operations Research and the Management Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88G</scope><scope>8AL</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0N</scope><scope>M0T</scope><scope>M2M</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20050901</creationdate><title>Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective</title><author>Tam, Kar Yan ; Ho, Shuk Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Behavior</topic><topic>Building customization</topic><topic>Collaboration</topic><topic>Communication</topic><topic>Customer information files</topic><topic>Customer services</topic><topic>Customers</topic><topic>Customization</topic><topic>Data mining</topic><topic>Decision making</topic><topic>Elaboration likelihood model</topic><topic>Empowerment</topic><topic>human computer interaction</topic><topic>Hypotheses</topic><topic>Information processing</topic><topic>Information storage and retrieval systems</topic><topic>Information technology</topic><topic>Internet</topic><topic>Need for cognition</topic><topic>Persuasion</topic><topic>preference matching</topic><topic>recommendation set size</topic><topic>Recommendations</topic><topic>Ring tones</topic><topic>Saliency</topic><topic>sorting cue</topic><topic>Studies</topic><topic>web personalization</topic><topic>Websites</topic><topic>World Wide Web</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tam, Kar Yan</creatorcontrib><creatorcontrib>Ho, Shuk Ying</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Psychology Database (Alumni)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Health Management Database (Proquest)</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Information systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tam, Kar Yan</au><au>Ho, Shuk Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective</atitle><jtitle>Information systems research</jtitle><date>2005-09-01</date><risdate>2005</risdate><volume>16</volume><issue>3</issue><spage>271</spage><epage>291</epage><pages>271-291</pages><issn>1047-7047</issn><eissn>1526-5536</eissn><abstract>With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and click-stream analysis enable firms to customize their offerings at the individual level. While there has been a lot of hype about web personalization recently, our understanding of its effectiveness is far from conclusive. Drawing on the elaboration likelihood model (ELM) literature, this research takes the view that the interaction between a firm and its customers is one of communicating a persuasive message to the customers driven by business objectives. In particular, we examine three major elements of a web personalization strategy: level of preference matching, recommendation set size, and sorting cue. These elements can be manipulated by a firm in implementing its personalization strategy. This research also investigates a personal disposition, need for cognition, which plays a role in assessing the effectiveness of web personalization. Research hypotheses are tested using 1,000 subjects in three field experiments based on a ring-tone download website. Our findings indicate the saliency of these variables in different stages of the persuasion process. Theoretical and practical implications of the findings are discussed.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/isre.1050.0058</doi><tpages>21</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1047-7047 |
ispartof | Information systems research, 2005-09, Vol.16 (3), p.271-291 |
issn | 1047-7047 1526-5536 |
language | eng |
recordid | cdi_jstor_primary_23015755 |
source | Business Source Ultimate; Informs; JSTOR Archival Journals and Primary Sources Collection; ABI/INFORM Global |
subjects | Behavior Building customization Collaboration Communication Customer information files Customer services Customers Customization Data mining Decision making Elaboration likelihood model Empowerment human computer interaction Hypotheses Information processing Information storage and retrieval systems Information technology Internet Need for cognition Persuasion preference matching recommendation set size Recommendations Ring tones Saliency sorting cue Studies web personalization Websites World Wide Web |
title | Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T03%3A56%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_jstor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Web%20Personalization%20as%20a%20Persuasion%20Strategy:%20An%20Elaboration%20Likelihood%20Model%20Perspective&rft.jtitle=Information%20systems%20research&rft.au=Tam,%20Kar%20Yan&rft.date=2005-09-01&rft.volume=16&rft.issue=3&rft.spage=271&rft.epage=291&rft.pages=271-291&rft.issn=1047-7047&rft.eissn=1526-5536&rft_id=info:doi/10.1287/isre.1050.0058&rft_dat=%3Cgale_jstor%3EA138453689%3C/gale_jstor%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c530t-bbf207065d9572f954ce33120a875e626a1e0ef3e8fe7ff8535de06accfdaf873%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=208167168&rft_id=info:pmid/&rft_galeid=A138453689&rft_jstor_id=23015755&rfr_iscdi=true |