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Record W1529365996

THE IMPACT OF NATIONAL CULTURE ON ONLINE SOCIAL NETWORK USAGE AND ELECTRONIC COMMERCE TRANSACTIONS

2013· article· en· W1529365996 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsBishop's University
Fundersnot available
KeywordsPhenomenonCollectivismThe InternetFace (sociological concept)Internet privacySocial network (sociolinguistics)Social phenomenonVirtual worldBusinessWorld Wide WebSocial mediaPolitical scienceSociologyComputer scienceSocial scienceLawIndividualism
DOInot available

Abstract

fetched live from OpenAlex

Computer-based social networks have become the new phenomenon in the Internet era. Millions of people are networking and exchanging contents. In the real world, one may have a very small number of friends to exchange with, whereas, in the virtual world, virtual fiends, who sometimes may convert to real friends are counted by hundreds if not thousands. Previous research has largely documented the impact of national culture on information technology usage. It has been clearly noticed that the number of social network users in the Arab world has always been dramatically increasing in the last decade. This paper presents the theoretical explanation of this phenomenon and argues that the high power distance and collectivist dimensions of the national culture in the Arab world are major factors which may increase social network usage. However and paradoxically, we argue that the same factors may pose barriers to electronic commerce business transactions in the Arab world. Arabs prefer to conduct transactions in face to face mode and not in the online world.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.000
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 head0.027
GPT teacher head0.333
Teacher spread0.306 · 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