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Record W2239153632 · doi:10.1453/jest.v2i4.576

Angelo A. Camillo (Edt.), Global Enterprise Management, Volume I: New Perspectives on Challenges and Future Developments

2015· article· en· W2239153632 on OpenAlexaff
Isabell C. Camillo

Bibliographic record

VenueKSP Journals - Journal of Economics Bibliography · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsBrock University
Fundersnot available
KeywordsGlobalizationGlobal strategyInternational businessProductivityManagementBusinessPolitical scienceEconomicsMarketingEconomic growthLaw

Abstract

fetched live from OpenAlex

As an on-going process of integrating companies, people, and governments on an international level, globalization is driven by economic motives.International trade and investment provides opportunities for enterprises to alleviate costs, increase productivity, and compete on a global scale.Managers that lead global enterprises are faced with complex and dynamic situations for which they require practical tools and real-world solutions.Although other books have addressed globalization with respect to an individual practitioner, a relevant theory, or a particular market, Volume I brings together an international interdisciplinary team of scholars in an effort to provide a truly global perspective.Against a fragmented tapestry that makes up the current literature on global enterprise management (see international marketing/project management/human resource management for examples), the 256-page volume edited by Angelo A. Camillo, represents an ambitious attempt to bring together international talent for a collaborative effort that spans nine countries and four continents.Organized in two volumes -of which the first is herein reviewed, Global Enterprise Management showcases a collection of essays with a world-wide perspective that provides unique interpretations, theoretical considerations, and credible solutions to global enterprise managers.

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 categoriesMeta-epidemiology (narrow)
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 score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0110.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.038
GPT teacher head0.250
Teacher spread0.211 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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