From the attention to the recall: looking behind online consumer response
Anida Krajina
Behaviour and Information Technology, 2022, vol. 41, issue 16, 3399-3414
Abstract:
Purpose:The purpose of this paper is to find how generation cohorts Y and Z process online content and to make a parallel between attention and recall in online consumer response framework. It also uncovers differences between two generations and offers valuable insights for managers.Design/methodology/approach:Eye-tracking was combined with in-depth qualitative interviews to uncover values behind the attention and indicators of recall. The eye-tracking study was conducted in a behavioural lab on a simulated website, followed by interviews recording.Findings:Despite similar attentional patterns, the two cohorts have different values that the content needs to satisfy to be preferred and remembered. The laddering provided a look into these values and deeper understanding of biometrical measures.Research limitations/implications:The study is limited to laboratory settings and small sample size.Practical implications:The results can inform decision-makers on how to optimise the digital content and increase content recall for the target age groups within cohorts Y and Z.Originality/value:This is the first study that combines eye-tracking and laddering interviews in interpreting path from attention to the recall of online content.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1988146 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:16:p:3399-3414
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2021.1988146
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().