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Record W2033952515 · doi:10.5539/ibr.v5n8p85

Individualist, Collectivist and Gender Moderated Differences toward Online Purchase Intentions in Jordan

2012· article· en· W2033952515 on OpenAlexvenueno aff
Shadi Ahmed Kahttab, Excimirey Amer Al-Manasra, Mohammed Khair Saleem Abu Zaid, Fadi Qutaishat

Bibliographic record

VenueInternational Business Research · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsCollectivismIndividualismPsychologySocial psychologyDescriptive statisticsTest (biology)Sample (material)Significant differenceIndividualistic cultureMathematicsPolitical scienceStatistics

Abstract

fetched live from OpenAlex

The purpose of this paper is to explore individualist and collectivist gender moderated differences toward online purchase intentions. Data were collected via questionnaires from 241 student in Al-Balqa’ Applied University in Jordan. The collected data were analyzed using descriptive statistics. In addition, factor and cluster analysis were used to group the sample according to individualistic and collectivistic cultural factors. Two-way ANOVA test was used to test the study hypotheses. The results of this study depicted that there was a significant difference between male and female toward online purchase intentions. The study also depicted that, there was a significant difference in the intention to purchase online according to individualist, mixed and collectivist cultural factors. Furthermore, the two-way interaction between gender and individualist, mixed and collectivist groups was significant regarding intention to purchase online.

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)0.005
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 score0.012
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.496
GPT teacher head0.512
Teacher spread0.016 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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