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Record W2059041108 · doi:10.5539/ibr.v7n11p165

Analysing the Role of Culture in IS Studies

2014· article· en· W2059041108 on OpenAlexvenueno aff
Hayel Ababneh, Fayiz Shrafat

Bibliographic record

VenueInternational Business Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsHofstede's cultural dimensions theoryTraditionalismOrganizational cultureDimension (graph theory)SociologyModernityField (mathematics)Social scienceKnowledge managementPolitical sciencePublic relationsComputer scienceLaw

Abstract

fetched live from OpenAlex

The purpose of the present paper is to theoretically review the role of culture on using Information Systems. This study revises, criticises, and extends cultural dimensions developed by main scholars such as Hofstede and Hall. Furthermore, it discusses the two levels of national and organisational culture and their role in shaping the use of Information Systems and its development. It significantly explains various levels of use of IS among different nations and industries located in different cultures. The results demonstrate the important role of national and derived organizational culture as immediate antecedents to and key success factor of using Information Systems. Because this revision outlines major lines of research in the field, it can be useful for both academics and practitioners. Further, it discusses limitations of existing research and suggests a new dimension of culture (Traditionalism-Modernity) which stimulates further research to investigate its validity in characterising diverse nations in terms of their national culture.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.044
GPT teacher head0.355
Teacher spread0.311 · 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 designTheoretical or conceptual
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

Citations4
Published2014
Admission routes1
Has abstractyes

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