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Record W3105515480 · doi:10.1002/cjas.1590

Multinational enterprises and strategic actions in emerging economy contexts: From conformity to institutional entrepreneurship

2020· article· en· W3105515480 on OpenAlexaffvenue
Pouya Seifzadeh, Ehsan Derayati, Amir Bahman Radnejad

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsConcordia University
Fundersnot available
KeywordsMultinational corporationEmerging marketsOpenness to experienceBusinessSubsidiaryInstitutional theoryForeign direct investmentEconomic systemFace (sociological concept)Economic geographyIndustrial organizationPolitical scienceEconomicsSociologyManagement

Abstract

fetched live from OpenAlex

Abstract This research explores the broader set of strategic actions of multinational enterprises (MNEs) in emerging markets in response to institutional forces. We re‐examine the effect of MNEs on changing institutions in host countries and conceptualize a theoretical model of institutionalization and institutional change initiated by MNEs in emerging economy contexts. In our two‐stage approach, we build on an inductive study to explore MNEs' strategic actions and their institutional settings. We then conduct repertory grid analysis to analyze face‐to‐face interviews with mid‐level and senior managers of subsidiaries of eight major MNEs. We identify distinctive categories of strategic action taken by MNEs to respond to facets of their institutional environment, depending on the restrictiveness/openness of their institutional environment, and their self‐perceived organizational strength.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
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 head0.128
GPT teacher head0.310
Teacher spread0.182 · 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 designObservational
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
Published2020
Admission routes2
Has abstractyes

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