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Record W1977310810 · doi:10.1504/ijbe.2015.069013

The international business environment: a proposed analytical framework

2015· article· en· W1977310810 on OpenAlexaff
Abdulghany Mohamed

Bibliographic record

VenueInternational Journal of Business Environment · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsCarleton University
Fundersnot available
KeywordsContext (archaeology)Focus (optics)Knowledge managementObject (grammar)International businessBusinessProcess managementManagement sciencePolitical sciencePublic relationsComputer scienceEngineeringGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

International business environment (IBE) literature is characterised by the lack of a holistic analytical framework. Drawing on a wide range of perspectives, this study aspires to fill the lacuna by offering a holistic, dynamic analytical framework for the systematic study of the IBE. The IBE is broadly conceived as a spatial-temporally multilayered, multi-actor context imbued and stitched up with ideas, institutions and non-institutional structures wherein international business (IB) actors, activities and processes are constituted and occur. Application of the proposed framework will potentially ensure a better understanding of the IBE, support endeavours that focus attention on the IBE as an object of inquiry in its own right, and ultimately foster better managerial and public policy decision-making.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.231
Teacher spread0.209 · 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.

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
Published2015
Admission routes1
Has abstractyes

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