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Article: It’s complicated: explaining the relationship between trust, distrust, and ambivalence in online transaction relationships using polynomial regression analysis and response surface analysis

TitleIt’s complicated: explaining the relationship between trust, distrust, and ambivalence in online transaction relationships using polynomial regression analysis and response surface analysis
Authors
Keywordsambivalence
attitudes
Distrust
e-commerce
electronic commerce
trust
Issue Date2017
PublisherTaylor & Francis for OR Society. The Journal's web site is located at http://www.tandfonline.com/action/showAxaArticles?journalCode=tjis20
Citation
European Journal of Information Systems, 2017, v. 26, p. 379-413 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/244432
ISSN
2023 Impact Factor: 7.3
2023 SCImago Journal Rankings: 3.824
SSRN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMoody, GD-
dc.contributor.authorLowry, PB-
dc.contributor.authorGalletta, DF-
dc.date.accessioned2017-09-18T01:52:20Z-
dc.date.available2017-09-18T01:52:20Z-
dc.date.issued2017-
dc.identifier.citationEuropean Journal of Information Systems, 2017, v. 26, p. 379-413-
dc.identifier.issn0960-085X-
dc.identifier.urihttp://hdl.handle.net/10722/244432-
dc.languageeng-
dc.publisherTaylor & Francis for OR Society. The Journal's web site is located at http://www.tandfonline.com/action/showAxaArticles?journalCode=tjis20-
dc.relation.ispartofEuropean Journal of Information Systems-
dc.rightsThis is an electronic version of an article published in [include the complete citation information for the final version of the article as published in the print edition of the journal]. [European Journal of Information Systems] is available online at: http://dx.doi.org/10.1057/s41303-016-0027-9-
dc.subjectambivalence-
dc.subjectattitudes-
dc.subjectDistrust-
dc.subjecte-commerce-
dc.subjectelectronic commerce-
dc.subjecttrust-
dc.titleIt’s complicated: explaining the relationship between trust, distrust, and ambivalence in online transaction relationships using polynomial regression analysis and response surface analysis-
dc.typeArticle-
dc.identifier.emailLowry, PB: pblowry@hku.hk-
dc.identifier.authorityLowry, PB=rp02206-
dc.description.naturepostprint-
dc.identifier.doi10.1057/s41303-016-0027-9-
dc.identifier.scopuseid_2-s2.0-85015971002-
dc.identifier.hkuros277501-
dc.identifier.volume26-
dc.identifier.spage379-
dc.identifier.epage413-
dc.identifier.isiWOS:000405786500003-
dc.publisher.placeUnited Kingdom-
dc.identifier.ssrn2648969-
dc.identifier.issnl0960-085X-

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