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Record W2564124341

THE VENTURE CAPITAL CONTRIBUTION TO THE FINANCING OF ENTREPRENEURIAL PROJECTS: CASE OF TUNISIAN RISK CAPITAL INVESTMENT COMPANY (SICAR)

2016· article· en· W2564124341 on OpenAlexvenueno aff
Adel Ghodbane

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsVenture capitalFinanceBusinessEntrepreneurshipSocial venture capitalCapital (architecture)Financial capitalInvestment (military)Private equityInternal financingCost of capitalExternal financingEconomicsDebtMarket economyHuman capital
DOInot available

Abstract

fetched live from OpenAlex

Venture capital is a form of financing that a company can get. These are temporary and minority equity participation in unlisted companies to subsequently generate capital gains. Translation of American term capital. Venture capital in the strict sense concerns, meanwhile, that the only interventions in capital in new enterprises or in the creation phase It is a kind private funding, unlike the financing of listed companies. The rationale of venture capital is that it is sometimes one of the only sources of major funding that a company can get for it. Other sources, such as loans from banks are often too difficult to obtain for a new business, as these sources consider some business projects are too risky. Starting a business environment that requires greater dynamism in investment and entrepreneurship, venture capital, a structured and organized in Tunisia, plays an important role in the financing chain and supporting businesses including innovative SMEs which constitute the most dynamic sector of the economy. In this report, we believe that venture capital is an important segment for the financing of SMEs in Tunisia it is imperative to develop in the direction of a better contribution to the scheme of financing of SMEs.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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 designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Internet Banking and CommerceSame topicPrivate Equity and Venture CapitalFrench-language works237,207