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Record W2575018915 · doi:10.5430/ijba.v8n1p87

Social Media Usability and Its Impact on Buyer Purchasing Behavior Based on Buyer's Trust: Saudi Arabia Context

2016· article· en· W2575018915 on OpenAlexvenueno aff
Alaeddin Ahmad

Bibliographic record

VenueInternational Journal of Business Administration · 2016
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingOpenness to experienceUsabilitySocial connectednessSample (material)MarketingBusinessContext (archaeology)PopulationAdvertisingSocial mediaPsychologySocial psychologySociologyComputer scienceGeography

Abstract

fetched live from OpenAlex

The current research investigates the social media usability influences on buyer purchasing behavior based on buyer's trust in Jeddah city, Saudi Arabia. This research proposes and tests a five-factor model that influences purchasing behaviors. These factors include the independent variables of social media usability, namely connectedness, openness, speed, accessibility, and participation, while the dependent variable is purchasing behavior. In order to explore this issue, a quantitative method was used in the form of a questionnaire issued in Jeddah city. The research targeted 500 respondents as a representative sample, rather than the whole population. A random sample was used to choose the participants in this research. The research retrieved 370 valid questionnaires, which represented a response rate of 74%. The results confirm significant differences in the influence of these factors on purchasing behavior. The research concludes that there are significant influences from connectedness, openness, speed, accessibility, and participation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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