Factors shaping job candidates’ responses to asynchronous video interviews

The efficiency of asynchronous video interviews (AVIs) — on-demand, fully digital job interviews — makes them increasingly appealing to hiring managers. However, little is known about the psychological drivers shaping important hiring outcomes, such as applicants’ intentions to accept job offers and self-disclose with AVIs. Across one field study and three controlled experiments, thisresearch demonstrates that job applicants report lower job acceptance intentions following asynchronous video interviews (AVIs) compared to face-to-face interviews. Moreover, job applicants exhibit a lower psychological comfort with AVIs, which, in turn, reduces their job acceptance intentions and willingness to self-disclose (Study 2a) even when controlling for perceived behavioural control, privacy concerns, and affective commitment (Study 2b). Finally, Study 3 demonstrates that these effects were stronger for job applicants with higher scores on interpersonal trust propensity (Study 3). Together, these results reveal the psychological mechanisms through which AVIs affect job acceptance intentions and self-disclosure, deepen our understanding of the individual differences moderating applicants’ experience of AVIs, and provide actionable insights for integrating AVIs into hiring practices

Authors

Institutions

Publication Details

Journal
European Journal of Work and Organizational Psychology
Published
2025-08-17
DOI
https://doi.org/10.1080/1359432x.2025.2547598
Citations
1
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors shaping job candidates’ responses to asynchronous video interviews

Mahsa Ghaffari, Rumen Pozharliev, Marco Francesco Mazzù, Matteo De Angelis et al.
1 citations
European Journal of Work and Organizational Psychology
Employer Branding and e-HRM
2.76
article

Factors shaping job candidates’ responses to asynchronous video interviews

Mahsa Ghaffari, Rumen Pozharliev, Marco Francesco Mazzù, Matteo De Angelis, Valerio Deriu
article en
1 citations

Abstract

The efficiency of asynchronous video interviews (AVIs) — on-demand, fully digital job interviews — makes them increasingly appealing to hiring managers. However, little is known about the psychological drivers shaping important hiring outcomes, such as applicants’ intentions to accept job offers and self-disclose with AVIs. Across one field study and three controlled experiments, thisresearch demonstrates that job applicants report lower job acceptance intentions following asynchronous video interviews (AVIs) compared to face-to-face interviews. Moreover, job applicants exhibit a lower psychological comfort with AVIs, which, in turn, reduces their job acceptance intentions and willingness to self-disclose (Study 2a) even when controlling for perceived behavioural control, privacy concerns, and affective commitment (Study 2b). Finally, Study 3 demonstrates that these effects were stronger for job applicants with higher scores on interpersonal trust propensity (Study 3). Together, these results reveal the psychological mechanisms through which AVIs affect job acceptance intentions and self-disclosure, deepen our understanding of the individual differences moderating applicants’ experience of AVIs, and provide actionable insights for integrating AVIs into hiring practices

European Journal of Work and Organizational PsychologyVol. 35(1)
Libera Università Internazionale degli Studi Sociali Guido Carli (IT), University of Portsmouth (GB)
Openalex Percentile: Top 8%
Employer Branding and e-HRM
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.