Journal article 1035 views 71 downloads
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption
Information Systems Frontiers, Volume: 25, Issue: 4, Pages: 1421 - 1437
Swansea University Authors: Ellie Ismagilova , Yogesh Dwivedi, Prianka Sarker, David Hughes
-
PDF | Version of Record
© The Author(s) 2021. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).
Download (839.92KB)
DOI (Published version): 10.1007/s10796-021-10172-2
Abstract
Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent resu...
Published in: | Information Systems Frontiers |
---|---|
ISSN: | 1387-3326 1572-9419 |
Published: |
Springer Science and Business Media LLC
2023
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa57291 |
first_indexed |
2021-07-09T18:27:25Z |
---|---|
last_indexed |
2024-11-14T12:11:36Z |
id |
cronfa57291 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2023-09-05T12:57:44.5945499</datestamp><bib-version>v2</bib-version><id>57291</id><entry>2021-07-09</entry><title>A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption</title><swanseaauthors><author><sid>978a0722ccb70c8c3816004d8a9f1567</sid><ORCID>0000-0001-9634-194X</ORCID><firstname>Ellie</firstname><surname>Ismagilova</surname><name>Ellie Ismagilova</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a238889f0b74f444542bbb7d0dc28710</sid><firstname>Prianka</firstname><surname>Sarker</surname><name>Prianka Sarker</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>7abaa0ecff88cdfd7a208d27a8b62173</sid><firstname>David</firstname><surname>Hughes</surname><name>David Hughes</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-07-09</date><deptcode>CBAE</deptcode><abstract>Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.</abstract><type>Journal Article</type><journal>Information Systems Frontiers</journal><volume>25</volume><journalNumber>4</journalNumber><paginationStart>1421</paginationStart><paginationEnd>1437</paginationEnd><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1387-3326</issnPrint><issnElectronic>1572-9419</issnElectronic><keywords>S-commerce; Behavioral intention; Use behavior; MASEM</keywords><publishedDay>31</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-08-31</publishedDate><doi>10.1007/s10796-021-10172-2</doi><url>http://dx.doi.org/10.1007/s10796-021-10172-2</url><notes/><college>COLLEGE NANME</college><department>Management School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CBAE</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-09-05T12:57:44.5945499</lastEdited><Created>2021-07-09T19:24:29.2867141</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Ellie</firstname><surname>Ismagilova</surname><orcid>0000-0001-9634-194X</orcid><order>1</order></author><author><firstname>Yogesh</firstname><surname>Dwivedi</surname><order>2</order></author><author><firstname>Elvira</firstname><surname>Ismagilova</surname><order>3</order></author><author><firstname>Prianka</firstname><surname>Sarker</surname><order>4</order></author><author><firstname>Anand</firstname><surname>Jeyaraj</surname><order>5</order></author><author><firstname>Yassine</firstname><surname>Jadil</surname><order>6</order></author><author><firstname>David</firstname><surname>Hughes</surname><order>7</order></author></authors><documents><document><filename>57291__28337__403e947712ba4228abb6729772cea0ab.pdf</filename><originalFilename>57291.VOR.pdf</originalFilename><uploaded>2023-08-21T16:26:23.6913623</uploaded><type>Output</type><contentLength>860075</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© The Author(s) 2021. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2023-09-05T12:57:44.5945499 v2 57291 2021-07-09 A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption 978a0722ccb70c8c3816004d8a9f1567 0000-0001-9634-194X Ellie Ismagilova Ellie Ismagilova true false d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false a238889f0b74f444542bbb7d0dc28710 Prianka Sarker Prianka Sarker true false 7abaa0ecff88cdfd7a208d27a8b62173 David Hughes David Hughes true false 2021-07-09 CBAE Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail. Journal Article Information Systems Frontiers 25 4 1421 1437 Springer Science and Business Media LLC 1387-3326 1572-9419 S-commerce; Behavioral intention; Use behavior; MASEM 31 8 2023 2023-08-31 10.1007/s10796-021-10172-2 http://dx.doi.org/10.1007/s10796-021-10172-2 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University 2023-09-05T12:57:44.5945499 2021-07-09T19:24:29.2867141 Faculty of Humanities and Social Sciences School of Management - Business Management Ellie Ismagilova 0000-0001-9634-194X 1 Yogesh Dwivedi 2 Elvira Ismagilova 3 Prianka Sarker 4 Anand Jeyaraj 5 Yassine Jadil 6 David Hughes 7 57291__28337__403e947712ba4228abb6729772cea0ab.pdf 57291.VOR.pdf 2023-08-21T16:26:23.6913623 Output 860075 application/pdf Version of Record true © The Author(s) 2021. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/ |
title |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
spellingShingle |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption Ellie Ismagilova Yogesh Dwivedi Prianka Sarker David Hughes |
title_short |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
title_full |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
title_fullStr |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
title_full_unstemmed |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
title_sort |
A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption |
author_id_str_mv |
978a0722ccb70c8c3816004d8a9f1567 d154596e71b99ad1285563c8fdd373d7 a238889f0b74f444542bbb7d0dc28710 7abaa0ecff88cdfd7a208d27a8b62173 |
author_id_fullname_str_mv |
978a0722ccb70c8c3816004d8a9f1567_***_Ellie Ismagilova d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi a238889f0b74f444542bbb7d0dc28710_***_Prianka Sarker 7abaa0ecff88cdfd7a208d27a8b62173_***_David Hughes |
author |
Ellie Ismagilova Yogesh Dwivedi Prianka Sarker David Hughes |
author2 |
Ellie Ismagilova Yogesh Dwivedi Elvira Ismagilova Prianka Sarker Anand Jeyaraj Yassine Jadil David Hughes |
format |
Journal article |
container_title |
Information Systems Frontiers |
container_volume |
25 |
container_issue |
4 |
container_start_page |
1421 |
publishDate |
2023 |
institution |
Swansea University |
issn |
1387-3326 1572-9419 |
doi_str_mv |
10.1007/s10796-021-10172-2 |
publisher |
Springer Science and Business Media LLC |
college_str |
Faculty of Humanities and Social Sciences |
hierarchytype |
|
hierarchy_top_id |
facultyofhumanitiesandsocialsciences |
hierarchy_top_title |
Faculty of Humanities and Social Sciences |
hierarchy_parent_id |
facultyofhumanitiesandsocialsciences |
hierarchy_parent_title |
Faculty of Humanities and Social Sciences |
department_str |
School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
url |
http://dx.doi.org/10.1007/s10796-021-10172-2 |
document_store_str |
1 |
active_str |
0 |
description |
Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail. |
published_date |
2023-08-31T14:06:34Z |
_version_ |
1821324077983334400 |
score |
11.0479555 |