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

Paul Benjamin Lowry, Nathan W. Twyman, Matt Pickard, Jeffrey L. Jenkins, Quang Bui

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

25 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)579-594
JournalInformation & Management
Volume51
Issue number5
Online published1 Apr 2014
DOIs
Publication statusPublished - Jul 2014

Research Keywords

  • Affect
  • Affect infusion
  • Affect-Trust Infusion Model (ATIM)
  • Emotion
  • Trust
  • Web site design
  • Web site performance

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