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Record W1622522606 · doi:10.1145/2398834.2398838

Acculturation to the global culture and internet adoption

2012· article· en· W1622522606 on OpenAlexaff
Reem Ayouby, Anne‐Marie Croteau

Bibliographic record

VenueACM SIGMIS Database the DATABASE for Advances in Information Systems · 2012
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversité du Québec à Trois-RivièresConcordia University
Fundersnot available
KeywordsAcculturationThe InternetInternet privacySociologyWorld Wide WebComputer scienceEthnic groupAnthropology

Abstract

fetched live from OpenAlex

Globalization is felt in most parts of the world and its effects on culture are becoming a topic of interest to society and in particular to the IS academic community. Our research addresses calls for research on the issue of globalization and its cultural effects in the IS field. We present the survey results of 136 members of the general public in a developing country, namely Jordan, which has felt the effects of globalization in the last decade. Our findings show that there is a significant and positive relationship between an individual's acculturation to the global culture and his or her intention to adopt the Internet. This behavioral intention is also significantly related to the individual's perceived usefulness and perceived ease of use of the Internet. Results indicate that the survey's respondents who were exposed to other cultures through travel and media and have learned other languages were more likely to adopt the Internet for communication, education and entertainment, but were less ready to conduct commercial exchanges through the Internet. This initial validation of a new construct, namely acculturation to the global culture as an antecedent to the Technology Acceptance Model (TAM), is an important contribution to the area of IS research on cultural effects.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.007
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 head0.018
GPT teacher head0.288
Teacher spread0.271 · 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 designNot applicable
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

Citations1
Published2012
Admission routes1
Has abstractyes

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