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Record W2058350913 · doi:10.1108/arla-08-2013-0108

Resources, capabilities and export performance: multidimensional evidence of Chile

2014· article· en· W2058350913 on OpenAlexaff
Juan Rock, Sadrudin A. Ahmed

Bibliographic record

VenueAcademia Revista Latinoamericana de Administración · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOriginalityBusinessSample (material)Export performanceValue (mathematics)International marketDeveloping countryMarketingIndustrial organizationInternational tradeEconomicsEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to study the relation between to export performance measures; growth exports and export intensity with the resources, capabilities and characteristics of the firms as factors determining its success. Design/methodology/approach The study used a questionnaire, answered by 133 firms from a random sample of 480 Chilean firms. Findings The two performance measures of the study, export intensity and growth of the exports resulted equally predictive of the export success, but with a different set of variables. The export growth was strongly related with the firms that had recently started, that have executive staff with an overseas education and a long term commitment to export, did research and development, followed market developing strategies and strategic alliances. The export intensity shows a strong relation with smaller firms, more experienced and involved in foreign markets. The successful companies in the foreign markets are very opportune and flexible in satisfying the needs of their clients and innovate their products. Research limitations The biggest limitation of this research is that it was conducted only in one South American country with a limited sample size. Originality/value Smaller firms require support from the State, to finance market studies, to access international fairs and financial sources. The findings are innovative for the export management in developing countries, intensive in natural resources, especially those of small size such as the case of Chile. Propósito Estudiar la relación entre dos medidas del desempeño exportador, crecimiento de exportaciones e intensidad de exportaciones, con los recursos, capacidades y características de la firma como factores determinantes de su éxito. Diseño/metodología/enfoque Un estudio basado en un cuestionario, respondido por 133 firmas de una muestra aleatoria de 480 firmas chilenas, representativa de las firmas exportadoras, seleccionadas aleatoriamente. Hallazgos Las dos medidas de desempeño exportador del estudio, intensidad de exportaciones y crecimiento de las exportaciones resultaron igualmente predictivas del éxito exportador, pero con diferentes conjuntos de variables predictivas. Limitaciones de la investigación/implicaciones La mayor limitante de esta investigación es que fue realizada en sólo un país de Sudamérica con un tamaño de muestra algo limitado. Implicaciones prácticas El crecimiento de exportaciones estuvo fuertemente relacionado con las firmas que se iniciaron recientemente, que poseen personal ejecutivo educado en el extranjero y un compromiso de largo plazo a exportar, realizan investigación y desarrollo, siguen estrategias de desarrollo de mercados. La intensidad de exportación expresa una relación fuerte con las firmas más pequeñas, más experimentadas e involucradas en los mercados extranjeros. Las compañías exitosas en los mercados de exportación son muy oportunas y flexibles en satisfacer las necesidades de sus clientes, innovan en sus productos y siguen estrategias de alianzas cooperativas y redes. Implicaciones socials Los gobiernos deberían apoyar a las firmas pequeñas, financiando estudios de mercado, apoyando su acceso a ferias internacionales y financiamiento. Originalidad/valor Los hallazgos son originales para la gestión de exportaciones en países en desarrollo, intensivos en recursos naturales, especialmente aquéllos de un pequeño tamaño, como Chile.

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 score0.150
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.256
Teacher spread0.239 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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