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Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions
Purpose Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information...
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Published in: | Internet research 2020-02, Vol.30 (1), p.263-287 |
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description | Purpose
Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.
Design/methodology/approach
This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.
Findings
The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.
Practical implications
The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.
Originality/value
This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias. |
doi_str_mv | 10.1108/INTR-05-2018-0247 |
format | article |
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Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.
Design/methodology/approach
This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.
Findings
The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.
Practical implications
The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.
Originality/value
This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.</description><identifier>ISSN: 1066-2243</identifier><identifier>EISSN: 2054-5657</identifier><identifier>DOI: 10.1108/INTR-05-2018-0247</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Accuracy ; Bias ; Cognitive Ability ; Cognitive load ; Consumers ; Decision making ; Electronic commerce ; Environment ; Expected values ; Factorial design ; Information processing ; Learning ; Learning Theories ; Learning theory ; Literature Reviews ; Merchandise Information ; Peer Acceptance ; Preferences ; Product information ; Rationality ; Shopping ; Socialization</subject><ispartof>Internet research, 2020-02, Vol.30 (1), p.263-287</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c314t-2095c6de56b2701d2004f7cb91294b6aaa9917ab4c605c6b65e4825007634903</citedby><cites>FETCH-LOGICAL-c314t-2095c6de56b2701d2004f7cb91294b6aaa9917ab4c605c6b65e4825007634903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2533933042?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,21378,21381,21394,27305,27924,27925,33611,33877,33906,34135,36060,43733,43880,43892,44363</link.rule.ids></links><search><creatorcontrib>Yu, Yan</creatorcontrib><creatorcontrib>Liu, Ben Qianqian</creatorcontrib><creatorcontrib>Hao, Jin-Xing</creatorcontrib><creatorcontrib>Wang, Chuanqi</creatorcontrib><title>Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions</title><title>Internet research</title><description>Purpose
Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.
Design/methodology/approach
This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.
Findings
The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.
Practical implications
The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.
Originality/value
This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.</description><subject>Accuracy</subject><subject>Bias</subject><subject>Cognitive Ability</subject><subject>Cognitive load</subject><subject>Consumers</subject><subject>Decision making</subject><subject>Electronic commerce</subject><subject>Environment</subject><subject>Expected values</subject><subject>Factorial design</subject><subject>Information processing</subject><subject>Learning</subject><subject>Learning Theories</subject><subject>Learning theory</subject><subject>Literature Reviews</subject><subject>Merchandise Information</subject><subject>Peer Acceptance</subject><subject>Preferences</subject><subject>Product information</subject><subject>Rationality</subject><subject>Shopping</subject><subject>Socialization</subject><issn>1066-2243</issn><issn>2054-5657</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M0C</sourceid><sourceid>M0P</sourceid><sourceid>M1O</sourceid><recordid>eNptkctKAzEUhoMoWC8P4C7gevTkOs1KpHgpFAXpPmQyGZvSmdRkRnQh-Bq-nk9ihroRXIXD-f6T8_8HoTMCF4TA9HL-sHwqQBQUyLQAyss9NKEgeCGkKPfRhICUBaWcHaKjlNYAQJTiE_QxC-12463pffeMQ8TJj3XznssrPO9eXer9867brxxu_ZurcWaM7RMODQ7dxncOb2OoB9tj3zUhtpkPXW5hG7o0tC6m788vvB2iXZnkcO2sT5lIJ-igMZvkTn_fY7S8vVnO7ovF4918dr0oLCO8z6aUsLJ2Qla0BFJTAN6UtlKEKl5JY4xSpDQVtxIyWEnh-JQKgFIyroAdo_Pd2Lzly5Ad6XUYYpd_1FQwphgDTjNFdpSNIaXoGr2NvjXxXRPQY8h6DFmD0GPIegw5a2Cncdmk2dT_Sv7chf0AlmSA6A</recordid><startdate>20200203</startdate><enddate>20200203</enddate><creator>Yu, Yan</creator><creator>Liu, Ben Qianqian</creator><creator>Hao, Jin-Xing</creator><creator>Wang, Chuanqi</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0P</scope><scope>M1O</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20200203</creationdate><title>Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions</title><author>Yu, Yan ; Liu, Ben Qianqian ; Hao, Jin-Xing ; Wang, Chuanqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-2095c6de56b2701d2004f7cb91294b6aaa9917ab4c605c6b65e4825007634903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Bias</topic><topic>Cognitive Ability</topic><topic>Cognitive load</topic><topic>Consumers</topic><topic>Decision making</topic><topic>Electronic commerce</topic><topic>Environment</topic><topic>Expected values</topic><topic>Factorial design</topic><topic>Information processing</topic><topic>Learning</topic><topic>Learning Theories</topic><topic>Learning theory</topic><topic>Literature Reviews</topic><topic>Merchandise Information</topic><topic>Peer Acceptance</topic><topic>Preferences</topic><topic>Product information</topic><topic>Rationality</topic><topic>Shopping</topic><topic>Socialization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Yan</creatorcontrib><creatorcontrib>Liu, Ben Qianqian</creatorcontrib><creatorcontrib>Hao, Jin-Xing</creatorcontrib><creatorcontrib>Wang, Chuanqi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Collection</collection><collection>Computing Database</collection><collection>Education Database</collection><collection>Library Science Database</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Education</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 Central Basic</collection><jtitle>Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Yan</au><au>Liu, Ben Qianqian</au><au>Hao, Jin-Xing</au><au>Wang, Chuanqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions</atitle><jtitle>Internet research</jtitle><date>2020-02-03</date><risdate>2020</risdate><volume>30</volume><issue>1</issue><spage>263</spage><epage>287</epage><pages>263-287</pages><issn>1066-2243</issn><eissn>2054-5657</eissn><abstract>Purpose
Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.
Design/methodology/approach
This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.
Findings
The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.
Practical implications
The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.
Originality/value
This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/INTR-05-2018-0247</doi><tpages>25</tpages></addata></record> |
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source | ABI/INFORM Collection; Library & Information Science Abstracts (LISA); Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list); Library & Information Science Collection; ProQuest Social Science Premium Collection; Education Collection |
subjects | Accuracy Bias Cognitive Ability Cognitive load Consumers Decision making Electronic commerce Environment Expected values Factorial design Information processing Learning Learning Theories Learning theory Literature Reviews Merchandise Information Peer Acceptance Preferences Product information Rationality Shopping Socialization |
title | Complicating or simplifying? Investigating the mixed impacts of online product information on consumers’ purchase decisions |
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