Evidence map›Paper›PMID 36281418›Full record

ArticleHeliyon2022

The mediating role of gender in social media shopping acceptance: from the WOM perspective.

Riadh Jeljeli, Faycal Farhi, Mohamed Elfateh Hamdi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Riadh JeljeliCollege of Communication and Media, Al Ain University, United Arab Emirates.
Faycal FarhiCollege of Communication and Media, Al Ain University, United Arab Emirates.
Mohamed Elfateh HamdiMass Communication Department, College of Arts and Sciences, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, online consumers' shopping experiences are wholly transformed because of technology to maximize consumer shopping experiences. However, even after increased online shopping after the Covid-19 outbreak, no study has examined the role of demographics in online shopping acceptance. Thus, we filled this gap by employing a cross-sectional design in the UAE and conducting Structural Equation Modelling (SEM). For data gathering purposes, we used structured questionnaires and randomly selected a sample of

Indexed as

Electronic word of mouthGenderOnline shoppingSocial media usageStructural equation modelling

Identifiers

PMID36281418
PMCPMC9586912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.