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Record W2516366089 · doi:10.5267/j.msl.2016.8.006

Investigating of the effect of entrepreneurial orientations on formation of entrepreneurial identity

2016· article· en· W2516366089 on OpenAlexvenueno aff
Manoochehr Parsian, Mohammad Hasan Mobaraki

Bibliographic record

VenueManagement Science Letters · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurial orientationEntrepreneurshipIdentity (music)BusinessEntrepreneurial leadershipIndustrial organizationMarketingPsychologyAesthetics

Abstract

fetched live from OpenAlex

In today's changing world, success belongs to the communities and organizations that make a significant relationship between scarce resources and capabilities of management and entrepreneurship of their human resource.In other words, societies and the organizations can move forward in the development path that, with creating the necessary conditions, equip their human resources to productive entrepreneurial knowledge and skills to conduct other organizations and community resources to create value and achieve the development, management.Formation of entrepreneurial identity plays an important role for the development of the entrepreneurial spirit in society.In this paper, given the importance of entrepreneurial identity, the role of entrepreneurial orientations based on Lampkin and Dess (1996) [Lumpkin, G. T., & Dess, G. G. (1996).Clarifying the entrepreneurial orientation construct and linking it to performance.Academy of Management Review, 21(1), 135-172.] is investigated on entrepreneurial identity of the municipality of Qom using a questionnaire consists of 18 items.The results show entrepreneurial orientation influences significantly on entrepreneurial identity.

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)0.004
metaresearch head score (Gemma)0.017
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 score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.233
Teacher spread0.223 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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