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Record W7113203581

The Double-Edged Sword of Institutional Support: Balancing International Intensity and Sustainability in Emerging Economy Firms

2025· article· en· W7113203581 on OpenAlexfundno aff

Bibliographic record

VenueUWA Profiles and Research Repository (UWA) · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
FundersHEC MontréalCalifornia State University, StanislausCollege of Engineering, Michigan State UniversityKauno Technologijos UniversitetasUniversität InnsbruckUniversity of Texas at El PasoKwame Nkrumah University of Science and TechnologyUniversity of Illinois at Urbana-ChampaignUniversidad de La SabanaXiamen UniversityFuzhou UniversityUniversidade Federal de PernambucoPeking UniversityUniversität LeipzigIndian Institute of Technology BombayLudwig-Maximilians-Universität MünchenQingdao UniversityAston UniversitySichuan UniversityUniversità degli Studi di PaviaUniversity at BuffaloRenmin University of ChinaTongji UniversityIndiana University EastQueen's UniversityTartu ÜlikoolZhejiang UniversityAalto-YliopistoUniversidade de São PauloKookmin UniversityIndian Institute of Management AhmedabadChinese Academy of SciencesUniversidade de PernambucoEberhard Karls Universität TübingenShandong UniversityHong Kong Baptist UniversityLingnan UniversityUniversity of ReadingCopenhagen Business SchoolUniversity of SouthamptonYuhanUniversity of SussexSan José State UniversityHankuk University of Foreign StudiesIndiana University SoutheastManchester Metropolitan UniversityLanzhou UniversityJohn Carroll UniversityItä-Suomen YliopistoNanyang Technological UniversityUniversity of LeedsAugusta UniversityPepperdine UniversityTemple UniversityNational Taiwan UniversityArizona State UniversityNova Southeastern UniversitySan Diego State UniversityUniversidade FeevaleSzkoła Główna Handlowa w WarszawieKennesaw State UniversityCity University of New YorkUniversity of HullUniversidade do Vale do ItajaíMichigan State UniversityUniversity of North Carolina at GreensboroCentral University of Finance and EconomicsFlorida Atlantic UniversityGeorgia State UniversityYonsei UniversityUniversity of OklahomaAuckland University of Technology, New ZealandUniversity of PretoriaGeorge Washington UniversityRice UniversityUniversidad EAFITHeriot-Watt UniversityVrije Universiteit AmsterdamUniversity of South FloridaSingapore Management UniversityFlorida International UniversityFudan UniversityAjou UniversityUniversidad del AtlánticoUniversity of MinnesotaUniversity of BristolNorthumbria UniversityWayne State UniversityAix-Marseille UniversitéAnhui UniversityFlorida Gulf Coast UniversityWashburn University
KeywordsSustainabilityEmerging marketsSWORDIntensity (physics)Production (economics)
DOInot available

Abstract

fetched live from OpenAlex

Among her contributions at BYU Marriott, Dean Madrian has expanded study

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.010
Scholarly communication0.0140.014
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 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

Citations0
Published2025
Admission routes1
Has abstractno

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