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Record W4232338886 · doi:10.1017/cbo9780511810510

Management across Cultures

2010· book· en· W4232338886 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

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsKnowledge managementPublic relationsEngineering ethicsPsychologySociologyPolitical scienceManagement scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

Management practices and processes frequently differ across national and regional boundaries. What may be acceptable managerial behaviour in one culture may be counterproductive or even unacceptable in another. As managers increasingly find themselves working across cultures, the need to understand these differences has become increasingly important. This book examines why these differences exist and how global managers can develop strategies and tactics to deal with them. The text draws on recent research in anthropology, psychology, and management, to explain the cultural and psychological underpinnings that shape managerial attitudes and behaviours, whilst introducing a learning model to guide in the intellectual and practical development of managers seeking enhanced global expertise. It offers user-friendly conceptual models to guide understanding and exploration of topics and summarizes and integrates the lessons learned in each chapter in applications-oriented 'Manager's Notebooks'. A companion website featuring comprehensive chapter-by-chapter PPT slides is available at www.cambridge.org/management_across_cultures.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.593
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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