Evidence map›Paper›PMID 37471409›Full record

ArticlePloS one2023

Predictors of Turkish individuals' online shopping adoption: An empirical study on regional difference.

Şeyda Ünver, Ahmet Fatih Aydemir, Ömer Alkan

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Şeyda ÜnverDepartment of Econometrics, Ataturk University, Erzurum, Türkiye.
Ahmet Fatih AydemirDepartment of International Trade and Logistics, Ataturk University, Erzurum, Türkiye.
Ömer AlkanDepartment of Econometrics, Ataturk University, Erzurum, Türkiye.ORCID 0000-0002-3814-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E-commerce is a result of the most recent technological advancements which has liberated trade on a global scale and further facilitated the communication of information. The purpose of this study is to research the differences in the usage of e-commerce among individuals living in regions of different levels of development in Türkiye and to determine the relationship between demographic, economic and personal characteristics and the e-commerce usage of individuals. In this study, the micro data set obtained from the Household Information Technologies Use Survey was used. Binary logistic regression analysis was used to determine the factors related to the e-commerce usage of individuals. As a result of the study, it was detected that the variables; education level, level of income, age, gender, occupation, social media use, engagement in information search about products and services online, engagement in selling products or services online, use of online banking, and e-government use are related to e-commerce usage. The study found that the variables affecting e-commerce usage differ by region. It is necessary to expand the internet by improving the information and communication technology infrastructure in low development regions to facilitate the development the use of e-commerce in these regions. Therefore, when looking for information on e-commerce, relevant regional initiatives should be considered. In developing countries, expanding e-commerce to low development areas requires more than just facilitating access to the internet.

Indexed as

Family CharacteristicsIncomeCommerceEducational StatusHumansSurveys and Questionnaires

Identifiers

PMID37471409
PMCPMC10358937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.