Evidence map›Paper›PMID 36407279›Full record

ArticleElectronic markets2022

Understanding the adoption of the mask-supply information platforms during the COVID-19.

Cheng-Kui Huang, Shin-Horng Chen, Chia-Chen Hu, Ming-Ching Lee

Abstract read
In one paragraph

Article in Electronic markets, 2022. 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
  3. 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.

Cheng-Kui HuangDepartment of Business Administration, National Chung Cheng University, Minxiong, Taiwan (R.O.C.).
Shin-Horng ChenDepartment of Information Management, National Taipei University of Business, Taipei, Taiwan (R.O.C.).
Chia-Chen HuDepartment of Business Administration, National Chung Cheng University, Minxiong, Taiwan (R.O.C.).
Ming-Ching LeeDepartment of Business Administration, National Chung Cheng University, Minxiong, Taiwan (R.O.C.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since late 2019, coronavirus disease 2019 (COVID-19) has led to a significant increase in the demand for medical resources. To publish data on face mask supplies, the Taiwanese government collaborated with program developers to construct a mask-supply information transitional platform (MITP). To comprehend the adoption of MITP, the study proposes a research model that integrates the health behavior model (HBM) and IS/IT continuance model for examining the factors affecting intention to use an MITP. Survey data collected from 524 respondents indicated that (1) intention to use an MITP is directly influenced by perceived threat of COVID-19 and beliefs toward using the MITP; (2) cues to action directly influence the perceived threat of COVID-19; and (3) perceived ease of use of MITP is a significant determinant of perceived usefulness of MITP. These results provide practical guidelines for health authorities and government to develop health information systems and strategies to control pandemics.

Indexed as

COVID-19Health behavior modelIS/IT continuance modelMask-supply information platformUsage intention

Identifiers

PMID36407279
PMCPMC9660176

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.