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Record W1515507260 · doi:10.1108/ijebr-09-2012-0089

Entrepreneurship and innovation in emerging economies

2014· article· en· W1515507260 on OpenAlexaff
Claude Marcotte

Bibliographic record

VenueInternational Journal of Entrepreneurial Behaviour & Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsConcordia University
Fundersnot available
KeywordsEntrepreneurshipEmerging marketsOriginalityContext (archaeology)Corporate governanceEconomicsValue (mathematics)Economic geographyCluster (spacecraft)Economic systemSociologyManagementSocial scienceQualitative researchMacroeconomics

Abstract

fetched live from OpenAlex

Purpose – After presenting a brief review of the Schumpeterian and Kirznerian views on entrepreneurship, the purpose of this paper is aims to measure the two views within the economic and institutional contexts of emerging economies. Design/methodology/approach – Configurations of innovative entrepreneurship, opportunity entrepreneurship and contextual variables were assessed using cluster analysis on 16 emerging countries. Findings – Four profiles were found: innovative entrepreneurship of the Schumpeter Mark I type, innovative entrepreneurship of the Schumpeter Mark II type, opportunity entrepreneurship of the Kirznerian form and a fourth cluster described as a potentially emerging Schumpeter Mark II profile. The economic and governance indicators were favorable in the two innovative entrepreneurship clusters, whereas the contextual indicators of innovation were particularly favorable in the Schumpeter Mark II group. Research limitations/implications – The study demonstrated the importance of aligning theory, methods and context in comparative entrepreneurship research. Profiling countries on theory-based entrepreneurial dimensions appears as a viable approach. However, the results also pointed to the need for more attention to the dynamic aspects of country entrepreneurial activity. Another limitation lies in the low number of emerging countries for which complete comparable data are available. Practical implications – For policy makers, it may be interesting to examine our results showing that the economic and governance correlates are more favorable in the two innovative clusters. Originality/value – The study is one of the few recent attempts to clarify the relationship between entrepreneurship and innovation in the context of emerging economies.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.057
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.056
GPT teacher head0.348
Teacher spread0.292 · 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

Citations65
Published2014
Admission routes1
Has abstractyes

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