No Cover Image

Journal article 660 views 1246 downloads

Predicting trust in online advertising with an SEM-artificial neural network approach

Lai-Ying Leong, Teck-Soon Hew, Keng-Boon Ooi, Yogesh Dwivedi Orcid Logo

Expert Systems with Applications, Volume: 162, Start page: 113849

Swansea University Author: Yogesh Dwivedi Orcid Logo

  • Predicting trust in online advertising with an SEM-ANN approach (accepted).pdf

    PDF | Accepted Manuscript

    Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).

    Download (1.09MB)
Published in: Expert Systems with Applications
ISSN: 0957-4174
Published: Elsevier BV 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa54890
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2020-08-06T11:54:48Z
last_indexed 2021-01-16T04:17:34Z
id cronfa54890
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-01-15T10:38:25.5453074</datestamp><bib-version>v2</bib-version><id>54890</id><entry>2020-08-06</entry><title>Predicting trust in online advertising with an SEM-artificial neural network approach</title><swanseaauthors><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><ORCID>0000-0002-5547-9990</ORCID><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2020-08-06</date><deptcode>BBU</deptcode><abstract/><type>Journal Article</type><journal>Expert Systems with Applications</journal><volume>162</volume><journalNumber/><paginationStart>113849</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0957-4174</issnPrint><issnElectronic/><keywords>Consumer trust; Online advertising; Trust building model; ADTRUST; Artificial neural network</keywords><publishedDay>30</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-12-30</publishedDate><doi>10.1016/j.eswa.2020.113849</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-01-15T10:38:25.5453074</lastEdited><Created>2020-08-06T12:50:29.6647685</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>Lai-Ying</firstname><surname>Leong</surname><order>1</order></author><author><firstname>Teck-Soon</firstname><surname>Hew</surname><order>2</order></author><author><firstname>Keng-Boon</firstname><surname>Ooi</surname><order>3</order></author><author><firstname>Yogesh</firstname><surname>Dwivedi</surname><orcid>0000-0002-5547-9990</orcid><order>4</order></author></authors><documents><document><filename>54890__17873__c14ccc4874484354aedae652d1db57dd.pdf</filename><originalFilename>Predicting trust in online advertising with an SEM-ANN approach (accepted).pdf</originalFilename><uploaded>2020-08-06T12:53:17.5801944</uploaded><type>Output</type><contentLength>1146082</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2021-08-08T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>English</language></document></documents><OutputDurs/></rfc1807>
spelling 2021-01-15T10:38:25.5453074 v2 54890 2020-08-06 Predicting trust in online advertising with an SEM-artificial neural network approach d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2020-08-06 BBU Journal Article Expert Systems with Applications 162 113849 Elsevier BV 0957-4174 Consumer trust; Online advertising; Trust building model; ADTRUST; Artificial neural network 30 12 2020 2020-12-30 10.1016/j.eswa.2020.113849 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2021-01-15T10:38:25.5453074 2020-08-06T12:50:29.6647685 Faculty of Humanities and Social Sciences School of Management - Business Management Lai-Ying Leong 1 Teck-Soon Hew 2 Keng-Boon Ooi 3 Yogesh Dwivedi 0000-0002-5547-9990 4 54890__17873__c14ccc4874484354aedae652d1db57dd.pdf Predicting trust in online advertising with an SEM-ANN approach (accepted).pdf 2020-08-06T12:53:17.5801944 Output 1146082 application/pdf Accepted Manuscript true 2021-08-08T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true English
title Predicting trust in online advertising with an SEM-artificial neural network approach
spellingShingle Predicting trust in online advertising with an SEM-artificial neural network approach
Yogesh Dwivedi
title_short Predicting trust in online advertising with an SEM-artificial neural network approach
title_full Predicting trust in online advertising with an SEM-artificial neural network approach
title_fullStr Predicting trust in online advertising with an SEM-artificial neural network approach
title_full_unstemmed Predicting trust in online advertising with an SEM-artificial neural network approach
title_sort Predicting trust in online advertising with an SEM-artificial neural network approach
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Lai-Ying Leong
Teck-Soon Hew
Keng-Boon Ooi
Yogesh Dwivedi
format Journal article
container_title Expert Systems with Applications
container_volume 162
container_start_page 113849
publishDate 2020
institution Swansea University
issn 0957-4174
doi_str_mv 10.1016/j.eswa.2020.113849
publisher Elsevier BV
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
document_store_str 1
active_str 0
published_date 2020-12-30T04:08:43Z
_version_ 1763753615268249600
score 11.012678