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An empirical study of online shopping customer satisfaction in China: a holistic perspective
Purpose - The purpose of this study is to identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience.Design methodology approach - In this paper, the authors pr...
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Published in: | International journal of retail & distribution management 2008-10, Vol.36 (11), p.919-940 |
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container_title | International journal of retail & distribution management |
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creator | Liu, Xia He, Mengqiao Gao, Fang Xie, Peihong |
description | Purpose - The purpose of this study is to identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience.Design methodology approach - In this paper, the authors propose a model of the satisfaction process in the e-commerce environment, identifying key constructs proposed by prior studies and developing hypotheses about which dimensions of online retailer constructs are significant predictors of online shopper satisfaction. The authors test the hypotheses through multiple regression analysis based on a survey of 1,001 online customers.Findings - The analysis suggests that eight constructs - information quality, web site design, merchandise attributes, transaction capability, security privacy, payment, delivery, and customer service - are strongly predictive of online shopping customer satisfaction, while the effect of response time is not significant.Research limitations implications - This study does not control the differences across product categories; the use of self-reported scales to measure both independent and dependent variables may imply the possibility of a common method bias for the results.Originality value - This research contributes to the study of online shopping customer satisfaction by: developing a model of the satisfaction process in the e-commerce environment, and identifying factors that may influence Chinese customers' online shopping satisfaction including those which are ignored by prior studies. |
doi_str_mv | 10.1108/09590550810911683 |
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The authors test the hypotheses through multiple regression analysis based on a survey of 1,001 online customers.Findings - The analysis suggests that eight constructs - information quality, web site design, merchandise attributes, transaction capability, security privacy, payment, delivery, and customer service - are strongly predictive of online shopping customer satisfaction, while the effect of response time is not significant.Research limitations implications - This study does not control the differences across product categories; the use of self-reported scales to measure both independent and dependent variables may imply the possibility of a common method bias for the results.Originality value - This research contributes to the study of online shopping customer satisfaction by: developing a model of the satisfaction process in the e-commerce environment, and identifying factors that may influence Chinese customers' online shopping satisfaction including those which are ignored by prior studies.</description><identifier>ISSN: 0959-0552</identifier><identifier>EISSN: 1758-6690</identifier><identifier>DOI: 10.1108/09590550810911683</identifier><identifier>CODEN: IRDMEQ</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing Limited</publisher><subject>China ; Consumer behavior ; Consumers ; Culture ; Customer satisfaction ; Customer services ; Customers ; Electronic commerce ; Hypotheses ; Internet ; Literature reviews ; Purchasing ; Retail stores ; Shopping ; Studies ; User satisfaction ; Web site design</subject><ispartof>International journal of retail & distribution management, 2008-10, Vol.36 (11), p.919-940</ispartof><rights>Emerald Group Publishing Limited</rights><rights>Copyright Emerald Group Publishing Limited 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-2c7945eb470fe9b8932d2ce7882006dfab5236e2d1ae0d16c84b04ddc3a583ea3</citedby><cites>FETCH-LOGICAL-c419t-2c7945eb470fe9b8932d2ce7882006dfab5236e2d1ae0d16c84b04ddc3a583ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/210912777?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,36061,44363</link.rule.ids></links><search><creatorcontrib>Liu, Xia</creatorcontrib><creatorcontrib>He, Mengqiao</creatorcontrib><creatorcontrib>Gao, Fang</creatorcontrib><creatorcontrib>Xie, Peihong</creatorcontrib><title>An empirical study of online shopping customer satisfaction in China: a holistic perspective</title><title>International journal of retail & distribution management</title><description>Purpose - The purpose of this study is to identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience.Design methodology approach - In this paper, the authors propose a model of the satisfaction process in the e-commerce environment, identifying key constructs proposed by prior studies and developing hypotheses about which dimensions of online retailer constructs are significant predictors of online shopper satisfaction. The authors test the hypotheses through multiple regression analysis based on a survey of 1,001 online customers.Findings - The analysis suggests that eight constructs - information quality, web site design, merchandise attributes, transaction capability, security privacy, payment, delivery, and customer service - are strongly predictive of online shopping customer satisfaction, while the effect of response time is not significant.Research limitations implications - This study does not control the differences across product categories; the use of self-reported scales to measure both independent and dependent variables may imply the possibility of a common method bias for the results.Originality value - This research contributes to the study of online shopping customer satisfaction by: developing a model of the satisfaction process in the e-commerce environment, and identifying factors that may influence Chinese customers' online shopping satisfaction including those which are ignored by prior studies.</description><subject>China</subject><subject>Consumer behavior</subject><subject>Consumers</subject><subject>Culture</subject><subject>Customer satisfaction</subject><subject>Customer services</subject><subject>Customers</subject><subject>Electronic commerce</subject><subject>Hypotheses</subject><subject>Internet</subject><subject>Literature reviews</subject><subject>Purchasing</subject><subject>Retail stores</subject><subject>Shopping</subject><subject>Studies</subject><subject>User satisfaction</subject><subject>Web site design</subject><issn>0959-0552</issn><issn>1758-6690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp10E1rFTEUBuAgCl6rP8BdcOHKqfmYfLkrF7VqoVC0boSQm5zxps5NpslMsf_eXK500Wo2Z5HnPRxehF5Sckwp0W-JEYYIQTQlhlKp-SO0okroTkpDHqPV_r9rgD1Fz2q9Iu0Z06_Qj5OEYTfFEr0bcZ2XcIvzgHMaYwJct3maYvqJ_VLnvIOCq5tjHZyfY044JrzexuTeYYe3eYx1jh5PUOoEDdzAc_RkcGOFF3_nEfr24f3X9Wl3dv7x0_rkrPM9NXPHvDK9gE2vyABmow1ngXlQWjNCZBjcRjAugQXqgAQqve43pA_Bcyc0B8eP0OvD3qnk6wXqbHexehhHlyAv1XJJtORcNPjqHrzKS0ntNsv2xTGlVEP0gHzJtRYY7FTizpVbS4ndl20flN0y3SHTOoDfdwFXflmpuBK2_87spbr4cqn1Z6ubf3Pw0Ep1Y7hLPFhtpzA0Tv7N_3_RHwFUnLI</recordid><startdate>20081010</startdate><enddate>20081010</enddate><creator>Liu, Xia</creator><creator>He, Mengqiao</creator><creator>Gao, Fang</creator><creator>Xie, Peihong</creator><general>Emerald Group Publishing Limited</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X5</scope><scope>7XB</scope><scope>8AO</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7TA</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20081010</creationdate><title>An empirical study of online shopping customer satisfaction in China: a holistic perspective</title><author>Liu, Xia ; He, Mengqiao ; Gao, Fang ; Xie, Peihong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-2c7945eb470fe9b8932d2ce7882006dfab5236e2d1ae0d16c84b04ddc3a583ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>China</topic><topic>Consumer behavior</topic><topic>Consumers</topic><topic>Culture</topic><topic>Customer satisfaction</topic><topic>Customer services</topic><topic>Customers</topic><topic>Electronic commerce</topic><topic>Hypotheses</topic><topic>Internet</topic><topic>Literature reviews</topic><topic>Purchasing</topic><topic>Retail stores</topic><topic>Shopping</topic><topic>Studies</topic><topic>User satisfaction</topic><topic>Web site design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xia</creatorcontrib><creatorcontrib>He, Mengqiao</creatorcontrib><creatorcontrib>Gao, Fang</creatorcontrib><creatorcontrib>Xie, Peihong</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ABI-INFORM Complete</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Proquest Entrepreneurship</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest One Business</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>Materials Business File</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>International journal of retail & distribution management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xia</au><au>He, Mengqiao</au><au>Gao, Fang</au><au>Xie, Peihong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An empirical study of online shopping customer satisfaction in China: a holistic perspective</atitle><jtitle>International journal of retail & distribution management</jtitle><date>2008-10-10</date><risdate>2008</risdate><volume>36</volume><issue>11</issue><spage>919</spage><epage>940</epage><pages>919-940</pages><issn>0959-0552</issn><eissn>1758-6690</eissn><coden>IRDMEQ</coden><abstract>Purpose - The purpose of this study is to identify factors that may influence Chinese customers' online shopping satisfaction, including those which are ignored by prior studies, from the perspective of total online shopping experience.Design methodology approach - In this paper, the authors propose a model of the satisfaction process in the e-commerce environment, identifying key constructs proposed by prior studies and developing hypotheses about which dimensions of online retailer constructs are significant predictors of online shopper satisfaction. 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source | ABI/INFORM Collection; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | China Consumer behavior Consumers Culture Customer satisfaction Customer services Customers Electronic commerce Hypotheses Internet Literature reviews Purchasing Retail stores Shopping Studies User satisfaction Web site design |
title | An empirical study of online shopping customer satisfaction in China: a holistic perspective |
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