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Record W1972742878 · doi:10.1080/0958519022000031861

Patterns of corporate influence in the host country: a study of ABB in Canada

2003· article· en· W1972742878 on OpenAlexafffundabout
Jacques Bélanger, Anthony Giles, Jean-Noël Grenier

Bibliographic record

VenueThe International Journal of Human Resource Management · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHost (biology)BusinessManagementBusiness administrationAccountingPolitical scienceEconomicsBiologyEcology

Abstract

fetched live from OpenAlex

This article draws on our four case studies to examine the nature of the relationships between ABB and its Canadian subsidiaries. Starting from a critical review of the literature, it develops a framework that is sensitive to three levels of analysis: the factors that shape the parent corporation's strategies, the characteristics of the host countries in which the MNC operates and the characteristics of the local subsidiaries themselves. The empirical material illustrates how innovation is generated by a two-way process, in which the initiative of corporate leaders challenges the ‘interpretation’ of local actors. In doing so, we point to a number of key omissions in the influential attempt by Bartlett and Ghoshal to use ABB to develop a managerial theory of the firm. This research also leads to broader considerations regarding the interface between markets and organizations. As distinct from the orthodox view, a transnational corporation may be conceived as a mediator between the market and a local subsidiary. In many ways, the global corporation channels and mediates the impact of external market forces on internal organizational actors, through a process involving the exercise of politics and power. The article has significant implications for decision making on human resource management. In particular it stresses that local managers, local unions, and employees can think and act strategically only in as far as they properly assess the limits of their respective sphere of organizational autonomy within the corporation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0170.005
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.223
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations27
Published2003
Admission routes3
Has abstractyes

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Same venueThe International Journal of Human Resource ManagementSame topicCooperative Studies and EconomicsFrench-language works237,207