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Record W985263468

Venture capital as a possibility of financing innovations

2014· article· en· W985263468 on OpenAlexvenueno aff
Grażyna A. Olszewska

Bibliographic record

VenueReview of Economics and Finance · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsVenture capitalBusinessFinanceSocial venture capitalFactoringCapital (architecture)Stock exchangeCommerce
DOInot available

Abstract

fetched live from OpenAlex

Innovative business venture by its nature is a risky area to allocate capital in. For many subjects interested in implementing innovations it is hardly possible to be provided with money from typical sources. Receiving capital from the stock exchange is possible only for big companies that are fi rmly grounded in the market. Th ey are able to overcome the stock exchange entry barriers. Banks are embedded with means of precaution which make it more diffi cult to receive bank loans for projects of high or inestimable risk. It is not a rule, however, innovations are a domain of small and medium enterprises. Th ey are not completely hopeless in the fi nancial market. Innovative products directed towards these market participants whose needs are not fulfi lled by traditional fi nancial instruments also appear. Forfaiting, factoring, leasing, franchising venture capital are only some of possibilities which are accessible for innovative business ventures in the capital market. Venture capital funds are close-ended funds, they were developed mainly in the United States as a non-standard source of fi nancing risky business ventures operating most frequently in the area of high technologies. Benefi ciaries of such a capital are entrepreneurs who have an innovative product, method of production or a service. Benefi ting from venture capital is connected to investments in, above all, new developmental enterprises. When we take under consideration the fact that venture capital is also connected with support in the area of management it also can be called „fi nancial-advisory capital”. Th ere are both advantages and disadvantages of benefi ting from venture capital. In the reference books this form of fi nancing is frequently presented as a great secure form of receiving capital. Entrepreneurs are encouraged to take advantage of the off er provided by venture capital funds. Doubtlessly it can be good and sometimes the only solution when we have an idea but no money. However, we should remember that investors who provide us with fi nancial resources in the form of venture capital these business angels are also business people aiming to receive profi t. Resources received from the funds work mainly for the funds not for the entrepreneur. What is more, it is short-term or middle term capital which is usually withdrawn in the peak of the growth of the company's value. JEL Classifi cation Code: E62, E63, E21, E23, C32.

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)0.000
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 score0.824
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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
Published2014
Admission routes1
Has abstractyes

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