Repository logo
 
Publication

Attention trajectories capture utility accumulation and predict brand choice

dc.contributor.authorMartinovici, Ana
dc.contributor.authorPieters, Rik
dc.contributor.authorErdem, Tülin
dc.date.accessioned2023-04-05T09:39:51Z
dc.date.available2023-04-05T09:39:51Z
dc.date.issued2023-08-01
dc.description.abstractTrajectories of attention capture the accumulation of brand utility during complex decision-making tasks. Thus, attention trajectories, as reflected in eye movements, predict the final brand choice of 85% of consumers before they implement it. Even when observing eye movements in only the first quarter of the decision process, attention already predicts brand choice much better (45%) than chance levels (20%). This superior prediction performance is due to a “double attention lift” for the chosen brand: The chosen brand receives progressively more attention toward the moment of choice, and more of this attention is devoted to integrating information about the brand rather than to comparing it with other options. In contrast, the currently owned brand grabs attention early in the task, and its attention gain persists for brand-loyal consumers and shifts for brand-switching consumers. A new attention and choice model used in tandem with the Bayesian K-fold cross-validation methodology on eye-tracking data from 325 representative consumers uncovered these attention trajectory effects. The findings contribute to closing important knowledge gaps in the attention and choice literature and have implications for marketing research and managerial practice.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.1177/00222437221141052
dc.identifier.eid85150929779
dc.identifier.issn0022-2437
dc.identifier.urihttp://hdl.handle.net/10400.14/40769
dc.identifier.wos000950931600001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAttention and brand choicept_PT
dc.subjectBayesian estimationpt_PT
dc.subjectEye movementspt_PT
dc.subjectK-fold cross-validationpt_PT
dc.subjectPredictionpt_PT
dc.subjectUtility accumulationpt_PT
dc.titleAttention trajectories capture utility accumulation and predict brand choicept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage645
oaire.citation.issue4
oaire.citation.startPage625
oaire.citation.titleJournal of Marketing Researchpt_PT
oaire.citation.volume60
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
66434055.pdf
Size:
1 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.44 KB
Format:
Item-specific license agreed upon to submission
Description: