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Record W3197220193 · doi:10.5267/j.ijdns.2021.7.013

Antecedents of consumers’ adoption of electronic commerce in developing countries

2021· article· en· W3197220193 on OpenAlexvenueno aff
Dmaithan Almajali, Qais Hammouri, Tha’er Majali, Jassim Ahmad Al-Gasawneh, Zulkhairi Dahalin

Bibliographic record

VenueInternational Journal of Data and Network Science · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingSocial commerceBusinessSocial mediaE-commerceMarketingConceptual modelConceptual frameworkSocial influenceAdvertisingPsychologySocial psychologySociologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study is to look into Jordanian customers' purchasing habits in regard to electronic commerce. The goal of this research is to investigate the impact of social media on electronic commerce trust and purchasing behavior. Trust's impact on social commerce was also investigated. Furthermore, the influence of social commerce on electronic commerce purchasing behavior has been studied in greater depth. This study proposed a conceptual model, which was empirically tested with a survey of 150 Jordanians. The study's findings stated that social media and social commerce had a significant impact on Jordanians' purchasing behavior toward e-commerce. Besides that, trust has a significant impact on social commerce. Furthermore, social commerce influences e-commerce purchasing behavior. Because the study was limited to Jordan, one of the primary limitations of this study is that the results cannot be generalized. Similar studies in other countries are needed to either support or refute our findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.425
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2021
Admission routes1
Has abstractyes

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