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Article: Proposing the Affect-Trust Infusion Model (ATIM) to explain and predict the influence of high and low affect infusion on Web vendor trust

TitleProposing the Affect-Trust Infusion Model (ATIM) to explain and predict the influence of high and low affect infusion on Web vendor trust
Authors
KeywordsAffect-Trust Infusion Model (ATIM)
Web site performance
Affect infusion
Emotion
Trust
Web site design
Affect
Issue Date2014
Citation
Information and Management, 2014, v. 51, n. 5, p. 579-594 How to Cite?
AbstractWe adapt the Affect Infusion Model and propose the Affect-Trust Infusion Model (ATIM), which explains and predicts how and when cognition, through perceived Web site performance (PWP), and positive emotion (PE) each influence Web vendor trust. The ATIM explains the underlying causal mechanisms that determine the degree of affect infusion and the subsequent processing strategy that a user adopts when interacting with a new Web site. Under high affect infusion, PE acts as a mediator between PWP and vendor trust; under low affect infusion, PWP primarily affects trust, and PE is disintermediated. We review two distinct, rigorously validated experiments that empirically support the ATIM. To conclude, we detail several promising research opportunities that can leverage the ATIM and show how the ATIM can help to guide user-centered design (UCD) as an example practical application. © 2014 Elsevier B.V.
Persistent Identifierhttp://hdl.handle.net/10722/233842
ISSN
2015 Impact Factor: 2.163
2015 SCImago Journal Rankings: 1.381

 

DC FieldValueLanguage
dc.contributor.authorLowry, Paul Benjamin-
dc.contributor.authorTwyman, Nathan W.-
dc.contributor.authorPickard, Matt-
dc.contributor.authorJenkins, Jeffrey L.-
dc.contributor.authorBui, Quang-
dc.date.accessioned2016-09-27T07:21:47Z-
dc.date.available2016-09-27T07:21:47Z-
dc.date.issued2014-
dc.identifier.citationInformation and Management, 2014, v. 51, n. 5, p. 579-594-
dc.identifier.issn0378-7206-
dc.identifier.urihttp://hdl.handle.net/10722/233842-
dc.description.abstractWe adapt the Affect Infusion Model and propose the Affect-Trust Infusion Model (ATIM), which explains and predicts how and when cognition, through perceived Web site performance (PWP), and positive emotion (PE) each influence Web vendor trust. The ATIM explains the underlying causal mechanisms that determine the degree of affect infusion and the subsequent processing strategy that a user adopts when interacting with a new Web site. Under high affect infusion, PE acts as a mediator between PWP and vendor trust; under low affect infusion, PWP primarily affects trust, and PE is disintermediated. We review two distinct, rigorously validated experiments that empirically support the ATIM. To conclude, we detail several promising research opportunities that can leverage the ATIM and show how the ATIM can help to guide user-centered design (UCD) as an example practical application. © 2014 Elsevier B.V.-
dc.languageeng-
dc.relation.ispartofInformation and Management-
dc.subjectAffect-Trust Infusion Model (ATIM)-
dc.subjectWeb site performance-
dc.subjectAffect infusion-
dc.subjectEmotion-
dc.subjectTrust-
dc.subjectWeb site design-
dc.subjectAffect-
dc.titleProposing the Affect-Trust Infusion Model (ATIM) to explain and predict the influence of high and low affect infusion on Web vendor trust-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.im.2014.03.005-
dc.identifier.scopuseid_2-s2.0-84901911930-
dc.identifier.volume51-
dc.identifier.issue5-
dc.identifier.spage579-
dc.identifier.epage594-

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