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Record W3019083234 · doi:10.3390/jrfm13040081

Crowdfunding: An Exploratory Study on Knowledge, Benefits and Barriers Perceived by Young Potential Entrepreneurs

2020· article· en· W3019083234 on OpenAlex
Susana Bernardino, J. Freitas Santos

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of risk and financial management · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinTech, Crowdfunding, Digital Finance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessEquity (law)Venture capitalMarketingNiche marketInvestment (military)The InternetPublic relationsPortugueseEquity crowdfundingEntrepreneurshipFinanceSeed moneyPolitical science

Abstract

fetched live from OpenAlex

Crowdfunding (CF) has experienced impressive growth in recent years with the development of internet and information technologies that increased the participation of the “crowd” to fund entrepreneurial projects. Young entrepreneurs, especially well-qualified students, have recently begun to play a new role in the economy by launching new ventures in niche markets. The aim of the present paper is to provide a deeper understanding of CF among Portuguese young potential entrepreneurs as an alternative funding mechanism, by discussing its main characteristics and the perceived benefits and barriers that might drive young entrepreneurs to post a project on a CF platform or discourage its use. Through an online survey, we query well-qualified students about the knowledge they have about crowdfunding and benefits and barriers that can increase or reduce the possibility of funding to launch a new venture. The results show that potential young entrepreneurs have moderate knowledge about CF. Consequently, they are not able to explore all the business models available, specifically the models related to investment (lending and equity). The respondents perceive several benefits of the use of CF that go beyond the financial advantages, such as the communication of the project to a wider audience and the additional feedback from potential customers. The perceived barriers that could deter the use of CF are related to the implementation of the CF campaign, although contextual constraints have been mentioned.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

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 communication0.0010.002
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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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