Understanding online shopping intention: the roles of four types of trust and their antecedents
Purpose – The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes. Design/methodology/approach – Online survey data from 242 ihergo members were use...
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| Veröffentlicht in: | Internet research 2014-01, Vol.24 (3), p.332-352 |
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| creator | Hsu, Meng-Hsiang Chuang, Li-Wen Hsu, Cheng-Se |
| description | Purpose
– The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes.
Design/methodology/approach
– Online survey data from 242 ihergo members were used to test the proposed model, and structural equation modeling with partial least squares was performed to analyze the measurement and structural models.
Findings
– The findings show that the four types of trust identified in this study are critical determinants of perceived risk and attitude. In addition, the majority of the antecedents are found to be associated with their respective types of trust.
Research limitations/implications
– The research extends the theory of reasoned action and prior research to discuss four types of consumer trust, as well as their respective antecedents and subsequent consequences. The result is a more descriptive model that better explicates consumers’ decision-making processes in online shopping.
Practical implications
– Given the intense competition between online shopping sites, web site managers should strive to provide a safe and user-friendly shopping environment. In addition, the vendor can enhance trust by encouraging satisfied customers to provide positive endorsements.
Originality/value
– This study is possibly the first of its kind, in identifying the four types of trust and their respective antecedents in the context of an online group-buying auction, and thus serves to enrich the existing literature concerning trust-building factors. |
| doi_str_mv | 10.1108/IntR-01-2013-0007 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1534825478</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1534825478</sourcerecordid><originalsourceid>FETCH-LOGICAL-c428t-afc5798492bb9a0832d13bb3458a5653a1be6c21d3fc0a8af5bb04f5959fb47b3</originalsourceid><addsrcrecordid>eNqNkU1LxDAURYMoOI7-AHcFN26q-WwTdzL4BQOCOOuQtInToZPUJF3MvzelbhQXrt57cO6DywHgEsEbhCC_fXHprYSoxBCREkJYH4EFhoyWrGL1MVggWFUlxpScgrMYd5lAQtAFkBvXmhCTcm3nPgrv-s6ZIm79MEx355JxqfPurkhbUwTfm1h4W1g_hiIdhvlKYYypyC8mqAt5S6YxbU7Gc3BiVR_Nxfdcgs3jw_vquVy_Pr2s7tdlQzFPpbINqwWnAmstFOQEt4hoTSjjKjcgCmlTNRi1xDZQcWWZ1pBaJpiwmtaaLMH1_HcI_nM0Mcl9FxvT98oZP0aJGINCEE7xP1BCOWa05hm9-oXucnGXi2QKswoLjupMoZlqgo8xGCuH0O1VOEgE5WRHTnYkRHKyIyc7OQPnjNmboPr2z8gPoeQLHp-R4w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1525629817</pqid></control><display><type>article</type><title>Understanding online shopping intention: the roles of four types of trust and their antecedents</title><source>Emerald Journals</source><creator>Hsu, Meng-Hsiang ; Chuang, Li-Wen ; Hsu, Cheng-Se</creator><creatorcontrib>Hsu, Meng-Hsiang ; Chuang, Li-Wen ; Hsu, Cheng-Se</creatorcontrib><description>Purpose
– The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes.
Design/methodology/approach
– Online survey data from 242 ihergo members were used to test the proposed model, and structural equation modeling with partial least squares was performed to analyze the measurement and structural models.
Findings
– The findings show that the four types of trust identified in this study are critical determinants of perceived risk and attitude. In addition, the majority of the antecedents are found to be associated with their respective types of trust.
Research limitations/implications
– The research extends the theory of reasoned action and prior research to discuss four types of consumer trust, as well as their respective antecedents and subsequent consequences. The result is a more descriptive model that better explicates consumers’ decision-making processes in online shopping.
Practical implications
– Given the intense competition between online shopping sites, web site managers should strive to provide a safe and user-friendly shopping environment. In addition, the vendor can enhance trust by encouraging satisfied customers to provide positive endorsements.
Originality/value
– This study is possibly the first of its kind, in identifying the four types of trust and their respective antecedents in the context of an online group-buying auction, and thus serves to enrich the existing literature concerning trust-building factors.</description><identifier>ISSN: 1066-2243</identifier><identifier>EISSN: 2054-5657</identifier><identifier>DOI: 10.1108/IntR-01-2013-0007</identifier><identifier>CODEN: IRESEF</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing Limited</publisher><subject>Attitudes ; Beliefs ; Consumer behavior ; Consumers ; Customer feedback ; Customers ; Electronic commerce ; Hypotheses ; Information & communications technology ; Information & knowledge management ; Intention ; Internet ; Online shopping ; Positive Attitudes ; Risks ; Shopping ; Stakeholders ; Studies ; Trust ; User behaviour ; Websites</subject><ispartof>Internet research, 2014-01, Vol.24 (3), p.332-352</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Copyright Emerald Group Publishing Limited 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-afc5798492bb9a0832d13bb3458a5653a1be6c21d3fc0a8af5bb04f5959fb47b3</citedby><cites>FETCH-LOGICAL-c428t-afc5798492bb9a0832d13bb3458a5653a1be6c21d3fc0a8af5bb04f5959fb47b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IntR-01-2013-0007/full/pdf$$EPDF$$P50$$Gemerald$$H</linktopdf><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IntR-01-2013-0007/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,777,781,962,11616,27905,27906,52667,52670</link.rule.ids></links><search><creatorcontrib>Hsu, Meng-Hsiang</creatorcontrib><creatorcontrib>Chuang, Li-Wen</creatorcontrib><creatorcontrib>Hsu, Cheng-Se</creatorcontrib><title>Understanding online shopping intention: the roles of four types of trust and their antecedents</title><title>Internet research</title><description>Purpose
– The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes.
Design/methodology/approach
– Online survey data from 242 ihergo members were used to test the proposed model, and structural equation modeling with partial least squares was performed to analyze the measurement and structural models.
Findings
– The findings show that the four types of trust identified in this study are critical determinants of perceived risk and attitude. In addition, the majority of the antecedents are found to be associated with their respective types of trust.
Research limitations/implications
– The research extends the theory of reasoned action and prior research to discuss four types of consumer trust, as well as their respective antecedents and subsequent consequences. The result is a more descriptive model that better explicates consumers’ decision-making processes in online shopping.
Practical implications
– Given the intense competition between online shopping sites, web site managers should strive to provide a safe and user-friendly shopping environment. In addition, the vendor can enhance trust by encouraging satisfied customers to provide positive endorsements.
Originality/value
– This study is possibly the first of its kind, in identifying the four types of trust and their respective antecedents in the context of an online group-buying auction, and thus serves to enrich the existing literature concerning trust-building factors.</description><subject>Attitudes</subject><subject>Beliefs</subject><subject>Consumer behavior</subject><subject>Consumers</subject><subject>Customer feedback</subject><subject>Customers</subject><subject>Electronic commerce</subject><subject>Hypotheses</subject><subject>Information & communications technology</subject><subject>Information & knowledge management</subject><subject>Intention</subject><subject>Internet</subject><subject>Online shopping</subject><subject>Positive Attitudes</subject><subject>Risks</subject><subject>Shopping</subject><subject>Stakeholders</subject><subject>Studies</subject><subject>Trust</subject><subject>User behaviour</subject><subject>Websites</subject><issn>1066-2243</issn><issn>2054-5657</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1LxDAURYMoOI7-AHcFN26q-WwTdzL4BQOCOOuQtInToZPUJF3MvzelbhQXrt57cO6DywHgEsEbhCC_fXHprYSoxBCREkJYH4EFhoyWrGL1MVggWFUlxpScgrMYd5lAQtAFkBvXmhCTcm3nPgrv-s6ZIm79MEx355JxqfPurkhbUwTfm1h4W1g_hiIdhvlKYYypyC8mqAt5S6YxbU7Gc3BiVR_Nxfdcgs3jw_vquVy_Pr2s7tdlQzFPpbINqwWnAmstFOQEt4hoTSjjKjcgCmlTNRi1xDZQcWWZ1pBaJpiwmtaaLMH1_HcI_nM0Mcl9FxvT98oZP0aJGINCEE7xP1BCOWa05hm9-oXucnGXi2QKswoLjupMoZlqgo8xGCuH0O1VOEgE5WRHTnYkRHKyIyc7OQPnjNmboPr2z8gPoeQLHp-R4w</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Hsu, Meng-Hsiang</creator><creator>Chuang, Li-Wen</creator><creator>Hsu, Cheng-Se</creator><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><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>8BP</scope></search><sort><creationdate>20140101</creationdate><title>Understanding online shopping intention: the roles of four types of trust and their antecedents</title><author>Hsu, Meng-Hsiang ; Chuang, Li-Wen ; Hsu, Cheng-Se</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-afc5798492bb9a0832d13bb3458a5653a1be6c21d3fc0a8af5bb04f5959fb47b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Attitudes</topic><topic>Beliefs</topic><topic>Consumer behavior</topic><topic>Consumers</topic><topic>Customer feedback</topic><topic>Customers</topic><topic>Electronic commerce</topic><topic>Hypotheses</topic><topic>Information & communications technology</topic><topic>Information & knowledge management</topic><topic>Intention</topic><topic>Internet</topic><topic>Online shopping</topic><topic>Positive Attitudes</topic><topic>Risks</topic><topic>Shopping</topic><topic>Stakeholders</topic><topic>Studies</topic><topic>Trust</topic><topic>User behaviour</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hsu, Meng-Hsiang</creatorcontrib><creatorcontrib>Chuang, Li-Wen</creatorcontrib><creatorcontrib>Hsu, Cheng-Se</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>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 Global</collection><collection>Computing Database</collection><collection>Education Database</collection><collection>Library Science Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</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><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Library & Information Sciences Abstracts (LISA) - CILIP Edition</collection><jtitle>Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hsu, Meng-Hsiang</au><au>Chuang, Li-Wen</au><au>Hsu, Cheng-Se</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Understanding online shopping intention: the roles of four types of trust and their antecedents</atitle><jtitle>Internet research</jtitle><date>2014-01-01</date><risdate>2014</risdate><volume>24</volume><issue>3</issue><spage>332</spage><epage>352</epage><pages>332-352</pages><issn>1066-2243</issn><eissn>2054-5657</eissn><coden>IRESEF</coden><abstract>Purpose
– The purpose of this paper is to provide a better picture of factors influencing behavioral decisions in online shopping by identifying different targets of trust and discussing their antecedents and outcomes.
Design/methodology/approach
– Online survey data from 242 ihergo members were used to test the proposed model, and structural equation modeling with partial least squares was performed to analyze the measurement and structural models.
Findings
– The findings show that the four types of trust identified in this study are critical determinants of perceived risk and attitude. In addition, the majority of the antecedents are found to be associated with their respective types of trust.
Research limitations/implications
– The research extends the theory of reasoned action and prior research to discuss four types of consumer trust, as well as their respective antecedents and subsequent consequences. The result is a more descriptive model that better explicates consumers’ decision-making processes in online shopping.
Practical implications
– Given the intense competition between online shopping sites, web site managers should strive to provide a safe and user-friendly shopping environment. In addition, the vendor can enhance trust by encouraging satisfied customers to provide positive endorsements.
Originality/value
– This study is possibly the first of its kind, in identifying the four types of trust and their respective antecedents in the context of an online group-buying auction, and thus serves to enrich the existing literature concerning trust-building factors.</abstract><cop>Bradford</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/IntR-01-2013-0007</doi><tpages>21</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1066-2243 |
| ispartof | Internet research, 2014-01, Vol.24 (3), p.332-352 |
| issn | 1066-2243 2054-5657 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1534825478 |
| source | Emerald Journals |
| subjects | Attitudes Beliefs Consumer behavior Consumers Customer feedback Customers Electronic commerce Hypotheses Information & communications technology Information & knowledge management Intention Internet Online shopping Positive Attitudes Risks Shopping Stakeholders Studies Trust User behaviour Websites |
| title | Understanding online shopping intention: the roles of four types of trust and their antecedents |
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