 Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approachShalini Talwar, Shalini Srivastava, Mototaka Sakashita, Nazrul Islam and Amandeep Dhir Journal of Business Research, 2022, vol. 142, issue C, 400-411 Abstract: The tourism sector has been deeply ravaged by the COVID-19 pandemic as many individuals abstained entirely from travel. Thus, before contemplating the trajectory of the sector’s recovery, it is essential to understand individuals’ travel intentions both during and after the pandemic. The present study contributes in this regard by examining the impact of individuals’ personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the pandemic. To this end, we utilised an artificial neural network (ANN) approach to analyse 500 responses from individuals residing in Japan. The results reveal that extraversion has the strongest relative influence on intentions to travel during the pandemic, whereas openness to experience has the strongest influence on travel intentions after the pandemic. This study is the first of its kind to examine the influence of the Big Five personality traits on travel intentions in the context of a pandemic. Keywords: Artificial neural network; Big Five personality traits; Non-linearity; Tourism sector; Travel intentions (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:142:y:2022:i:c:p:400-411 DOI: 10.1016/j.jbusres.2021.12.002 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
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