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Record W3084139318 · doi:10.1080/0965254x.2020.1815235

Capabilities and the internationalisation of smaller-sized, service-oriented firms in the southern hemisphere

2020· article· en· W3084139318 on OpenAlexaff
Christian Felzensztein, Dave Crick, María Alejandra González-Pérez, Tanya Jurado, María Soledad Etchebarne López

Bibliographic record

VenueJournal of Strategic Marketing · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInternationalizationBusinessDynamic capabilitiesMarketingIndustrial organizationEmerging marketsService (business)SustainabilitySet (abstract data type)Resource (disambiguation)International tradeComputer science

Abstract

fetched live from OpenAlex

Underpinned by the threshold and dynamic capabilities perspectives as a sub-set of Resource-Based Theory, the objective of this study is to understand ways in which management teams build types of capabilities to facilitate their internationalisation activities. Thirty-one semi-structured interviews took place among smaller-sized, service-oriented internationalising firms located in three countries within the southern hemisphere: two emerging economies (Chile and Colombia) and one developed economy (New Zealand). The findings indicate that some management teams were able to develop threshold capabilities enabling them to operate outside their domestic market. In contrast, certain management teams appeared to possess dynamic capabilities, facilitating their evolving business models and sustainability. Particular capabilities allowed the respective firms, regardless of their national origin, to exhibit varying performance-enhancing internationalisation strategies. The study contributes to theory and practice in the domain of entrepreneurial marketing, offering new insights questioning whether certain capabilities are enough to sustain particular management teams’ internationalisation behaviour.

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)0.003
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.219
Teacher spread0.190 · 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

Citations39
Published2020
Admission routes1
Has abstractyes

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