Evidence map›Paper›PMID 35221549›Full record

ArticleTransport policy2022

Analysis of airline employees' perceptions of corporate preparedness for COVID-19 disruptions to airline operations.

Seock-Jin Hong, Michael Savoie, Steve Joiner, Timothy Kincaid

Open access · greenAbstract read
In one paragraph

Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Pandemic Preparedness among Big Energy Companies: Call to Research and Action.International journal of environmental research and public health · 2023
    Review
  4. 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

4 authors at 1 institution in 1 country.

Seock-Jin HongUniversity of North Texas, G. Brint Ryan College of Business, 1155 Union Circle #311396, Denton, TX, 76203-5017, USA.
Michael SavoieUniversity of North Texas, G. Brint Ryan College of Business, 1155 Union Circle #311396, Denton, TX, 76203-5017, USA.
Steve JoinerUniversity of North Texas, G. Brint Ryan College of Business, 1155 Union Circle #311396, Denton, TX, 76203-5017, USA.
Timothy KincaidUniversity of North Texas, G. Brint Ryan College of Business, 1155 Union Circle #311396, Denton, TX, 76203-5017, USA.
University of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The focus of this research is an analysis of U.S.-based airline employees' responses to corporate preparedness for the COVID-19 disruptions to domestic and international airline operations. A survey was issued during May and June 2020 to U.S.-based employees of major and national carriers and U.S.-based employees from foreign carriers. The research project consists of a questionnaire used to answer the key question: What is your perception of your company's preparedness for and response to the COVID-19 outbreak? Sub-questions address three key areas of employees' responses: 1) Was the airline prepared prior to the pandemic? 2). Did the airline respond appropriately to the pandemic? 3) Is the airline positioned well to recover from the pandemic? Findings indicate that airlines' risk management systems are recognized as a weakness in the organizations; however, they are taking steps to enhance their risk management protocols since dealing with the global coronavirus pandemic. Additional findings indicate that air transport companies need to move away from their reliance on the existing risk management system that is based on historical disruptions and toward a more proactive system. The last finding indicates that knowing and understanding the full potential of the impact of pandemics (or epidemics) may be advantageous in recovering business quickly.

Indexed as

Airline risk managementAir transport industryCoronavirus disease 2019Double bootstrapFront-line employeesStructural equation model

Identifiers

PMID35221549
PMCPMC8863298
OpenAlexW4214750212

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.