MétaCan
Menu
Back to cohort
Record W3135592907 · doi:10.1017/9781108500067.007

Developing a Transnational Organization: Managing Integration, Responsiveness, and Flexibility

2018· book-chapter· en· W3135592907 on OpenAlexaff
Christopher A. Bartlett, Paul W. Beamish

Bibliographic record

VenueCambridge University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsWestern University
Fundersnot available
KeywordsMultinational corporationFlexibility (engineering)NarrativeConceptual frameworkInternational businessKnowledge managementSenior managementSubject (documents)Political scienceManagementEngineeringProcess managementPublic relationsSociologyComputer scienceLibrary scienceSocial science

Abstract

fetched live from OpenAlex

Transnational Management provides an integrated conceptual framework to guide students and instructors through the challenges facing today's multinational enterprises. Through text narrative and cases, the authors skilfully examine the development of strategy, organizational capabilities, and management roles and responsibilities for operating in the global economy. The key concepts are developed in eight chapters that are supplemented by carefully selected practical case studies from world-leading case writers. All chapters have been revised and updated for this eighth edition to reflect the latest thinking in transnational management while retaining the book's strong integrated conceptual framework. Ten new cases have been added, and four others updated. A full range of online support materials are available, including detailed case teaching notes, almost 200 PowerPoint slides, and a test bank. Suitable for MBA, executive education and senior undergraduate students studying international management, international business or global strategy courses, Transnational Management offers a uniquely global perspective on the subject.

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score0.852

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 science0.0000.000
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 head0.035
GPT teacher head0.255
Teacher spread0.220 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicGlobal and Cross-Cultural ManagementFrench-language works237,207