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Record W4205790487 · doi:10.1108/ijebr-06-2021-0519

Coopetition and international entrepreneurship: the influence of a competitor orientation

2022· article· en· W4205790487 on OpenAlexaff
James M. Crick, Dave Crick

Bibliographic record

VenueInternational Journal of Entrepreneurial Behaviour & Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoopetitionBusinessMarketingCompetitor analysisProduct (mathematics)Competition (biology)EntrepreneurshipTourismStakeholderContext (archaeology)InternationalizationResource (disambiguation)Industrial organizationPublic relationsEconomicsGame theory

Abstract

fetched live from OpenAlex

Purpose Guided by a relational, stakeholder perspective of resource-based theory, the purpose of the current investigation is to help unpack the complexity of the performance-enhancing nature of coopetition for international entrepreneurs, namely the interplay between collaboration and competition. The context features under-resourced wine producers owned and managed by entrepreneurs that have implemented an internationalised business model. The focus of the study involves the influence of a “competitor orientation”, namely when decision-makers understand the short-term strengths, weaknesses, long-term capabilities and strategies of key current and potential rivals. Design/methodology/approach Data collection primarily featured semi-structured interviews with owner-managers of wine-producing firms in New Zealand that reflected heterogeneity amongst international entrepreneurs' strategies targeting different product markets within their respective business models. Secondary data were also collected where possible. Specifically, interviewees' firms exhibited different portfolios involving wine sales (with varying export intensities) together with augmented sales of tourism-related products/services focussed on the domestic market. Findings Coopetition activities amongst international entrepreneurs varied; i.e. influenced by respective owner-managers' competitor orientations. Illustrations of different decision-makers' business models within a 2 × 2 matrix feature those with a low- or high-export intensity, together with a narrow or augmented product portfolio. Internationalising entrepreneurs' perceptions varied regarding the extent to which their respective business model was oriented towards local cluster-based domestic tourism with limited export sales, as opposed to those with national and more importantly international wine sales. Possessing and acting upon relevant knowledge manifested in which competitors international entrepreneurs collaborated with and the extent to which this took place across product-market strategies. In turn, this enabled particular decision-makers to exhibit flexibility; hence, entrepreneurs enter and exit certain markets together with changing export intensities, as varying opportunities were identified and exploited. Originality/value Although the performance-enhancing nature of coopetition is largely established in prior literature, the complexity of that relationship remains relatively under-researched, not least, amongst international entrepreneurs. More specifically, the extent to which decision-makers that are engaged in coopetition exhibit a competitor orientation remains under-researched. Unique insights feature a 2 × 2 matrix in order to provide originality regarding international entrepreneurs' respective product-market strategies within their business models that are underpinned by varying coopetition relationships and competitor orientations.

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)0.003
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0060.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.333
Teacher spread0.286 · 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

Citations47
Published2022
Admission routes1
Has abstractyes

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