Evidence map›Paper›PMID 34924646›Full record

ArticleJournal of business research2022

Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach.

Shalini Talwar, Shalini Srivastava, Mototaka Sakashita, Nazrul Islam, Amandeep Dhir

Abstract read
In one paragraph

Article in Journal of business research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. How COVID-19 has changed tourists' behaviour.Nature human behaviour · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shalini TalwarK J Somaiya Institute of Management, Somaiya Vidyavihar University, Mumbai, India.
Shalini SrivastavaJaipuria Institute of Management, Noida, India.
Mototaka SakashitaGraduate School of Business Administration, Keio University, Japan.
Nazrul IslamDepartment of Science, Innovation, Technology and Entrepreneurship, University of Exeter Business School, England, UK.
Amandeep DhirDepartment of Management, School of Business & Law, University of Agder, Kristiansand, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial neural networkBig Five personality traitsNon-linearityTourism sectorTravel intentions

Identifiers

PMID34924646
PMCPMC8669890

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.