Evidence map›Paper›PMID 36844306›Full record

ArticleFrontiers in psychology2023

The influence of the COVID-19 pandemic on work connectivity behavior.

Yingyan Liu, Zaisheng Zhang, Heng Zhao, Li Liu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Yingyan LiuCollege of Tourism and Service Management, Nankai University, Tianjin, China.
Zaisheng ZhangCollege of Management and Economics, Tianjin University, Tianjin, China.
Heng ZhaoSchool of Management, Tianjin University of Technology, Tianjin, China.
Li LiuCollege of Management and Economics, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Based on event system theory, this study analyzed the influence of the event strength of major public health outside the organization on work connectivity behavior. Methods: The study collected data from 532 employees on their psychological status and working style during the COVID-19 pandemic through an online questionnaire survey. Results: The results show that driven by financial risk perception, female employees are more willing to pay work connectivity behavior than male employees and unmarried employees are more willing to pay work connectivity behavior than married employees. The risk perception of employees aged 28-33 has the greatest impact on workplace behavior. The impact of financial risk perception on behavior of employees without children is much higher than that of employees with children. The influence of financial risk perception and social risk perception on their behavior of employees with master's degree is much higher than that of health risk perception, but the workplace behavior of employees with doctor's degree is mainly affected by health risk perception. Discussion: The novelty of the Corona Virus Disease event has a negative influence on work connectivity duration. The criticality, disruption of the Corona Virus Disease event has a positive influence on work connectivity duration. The criticality of the Corona Virus Disease event has a positive influence on work connectivity frequency. Employees' social risk perception, financial risk perception and health risk perception has a positive influence on the work connectivity duration and work connectivity frequency.

Indexed as

event system theoryfinancial risk perceptionhealth risk perceptionnovel coronavirus pneumonia (COVID-19)social risk perceptionwork connectivity behavior

Identifiers

PMID36844306
PMCPMC9947784

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.