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- Publisher Website: 10.1016/j.im.2014.03.005
- Scopus: eid_2-s2.0-84901911930
- WOS: WOS:000337781000008
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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
Title | Proposing the Affect-Trust Infusion Model (ATIM) to explain and predict the influence of high and low affect infusion on Web vendor trust |
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Authors | |
Keywords | Affect-Trust Infusion Model (ATIM) Web site performance Affect infusion Emotion Trust Web site design Affect |
Issue Date | 2014 |
Citation | Information and Management, 2014, v. 51, n. 5, p. 579-594 How to Cite? |
Abstract | We 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 Identifier | http://hdl.handle.net/10722/233842 |
ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 2.594 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lowry, Paul Benjamin | - |
dc.contributor.author | Twyman, Nathan W. | - |
dc.contributor.author | Pickard, Matt | - |
dc.contributor.author | Jenkins, Jeffrey L. | - |
dc.contributor.author | Bui, Quang | - |
dc.date.accessioned | 2016-09-27T07:21:47Z | - |
dc.date.available | 2016-09-27T07:21:47Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Information and Management, 2014, v. 51, n. 5, p. 579-594 | - |
dc.identifier.issn | 0378-7206 | - |
dc.identifier.uri | http://hdl.handle.net/10722/233842 | - |
dc.description.abstract | We 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.language | eng | - |
dc.relation.ispartof | Information and Management | - |
dc.subject | Affect-Trust Infusion Model (ATIM) | - |
dc.subject | Web site performance | - |
dc.subject | Affect infusion | - |
dc.subject | Emotion | - |
dc.subject | Trust | - |
dc.subject | Web site design | - |
dc.subject | Affect | - |
dc.title | Proposing the Affect-Trust Infusion Model (ATIM) to explain and predict the influence of high and low affect infusion on Web vendor trust | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.im.2014.03.005 | - |
dc.identifier.scopus | eid_2-s2.0-84901911930 | - |
dc.identifier.volume | 51 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 579 | - |
dc.identifier.epage | 594 | - |
dc.identifier.isi | WOS:000337781000008 | - |
dc.identifier.issnl | 0378-7206 | - |