Evidence map›Paper›PMID 36172226›Full record

ArticleFrontiers in psychology2022

Driving forces of the pervasiveness of street vending: A data article.

Salem A Al-Jundi, Sarah Basahel, Abdullah S Alsabban, Mohammad Asif Salam, Saleh Bajaba

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Salem A Al-JundiSchool of Business, Skyline University College, Sharjah, United Arab Emirates.
Sarah BasahelDepartment of Management Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdullah S AlsabbanDepartment of Business Administration, King Abdulaziz University, Jeddah, Saudi Arabia.
Mohammad Asif SalamDepartment of Business Administration, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia.
Saleh BajabaDepartment of Business Administration, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Street vendors are prominent on public streets and in traditional markets in most developing countries. They raise significant problems for public authorities, residents, pedestrians, and formal retailers. Their informal business is problematic, leading to conflicts and sometimes violence. Moreover, unlicensed street vendors employ children and women and are accused of counterfeiting and drug trading. However, they participate in reducing poverty and unemployment. The current data article aims to formulate a public perception on the problematic issue of street vending pervasiveness by describing a survey dataset on street vending and its main driving factors. Street vending has traditionally be examined by linking it with one or more determinants; thus, the dataset covers poverty, lack of education, immigration, unemployment, urban culture, low-income consumption, resistance, and lack of microfinance as latent constructs. Five measurable variables are introduced that reflect each construct. All variables are measured via seven-point Likert scales. Using a Google Form, 425 responses were collected that reflect the attitudes of the general public in Baghdad, Iraq. This dataset is useful for research on socio-economic problems; more specifically, it introduces reliable measurement models for street vending and the eight factors driving it.

Indexed as

consumptioneducationimmigrationmicrofinancepovertyresistanceunemploymenturban culture

Identifiers

PMID36172226
PMCPMC9512058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.