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A Resource‐Based Approach to the Study of Export Performance

2003· article· en· 791 citations· W2009513050 on OpenAlex· 10.1111/1540-627x.00080

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
About CanadaIts subject is Canada, wherever its authors sit.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.554
Threshold uncertainty score
0.424
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.092
GPT teacher head0.203
Teacher spread
0.111 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

This paper presents a comparative study of the export performance of U.S. and Canadian small and medium-sized exporters. A parsimonious model is developed drawing on the resource-based theory of the firm, with three sets of resources, namely firm size, enterprise, and technological intensity. These key resources are good predictors of the export strategy of a firm. Export strategy is modeled as degree of internationalization, and its effect on the overall firm performance is studied using firm-level performance measures. LISREL's multiple group analysis feature is used in the analysis to test the model. The results confirm the validity of the model across the two data sets.

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.

The record

Venue
Journal of Small Business Management
Topic
Global trade and economics
Field
Economics, Econometrics and Finance
Canadian institutions
Western University
Funders
not available
Keywords
LISRELExport performanceIndustrial organizationInternationalizationResource (disambiguation)BusinessEconometricsResource-based viewMarketingKnowledge managementComputer scienceStructural equation modelingEconomicsInternational tradeMathematicsCompetitive advantageStatistics
Has abstract in OpenAlex
yes