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Record W4385856924 · doi:10.53819/81018102t5220

Entrepreneurial Mindset and Venture Success: A Study of Startups in Vancouver, Canada

2023· article· en· W4385856924 on OpenAlexaffabout

Bibliographic record

VenueJournal of Entrepreneurship & Project Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMindsetMentorshipEntrepreneurshipNature versus nurtureBusinessVenture capitalMarketingNew VenturesSocial venture capitalPublic relationsSociologyFinancePolitical science

Abstract

fetched live from OpenAlex

The entrepreneurial mindset plays a crucial role in the success of ventures across Canada. Startups led by entrepreneurs with a strong entrepreneurial mindset are more likely to achieve sustainable growth, secure funding, and attract talented employees. Traits such as risk-taking, resilience, innovation, adaptability, and a growth-oriented mindset are key drivers of venture success. The presence of a supportive ecosystem that provides access to capital, mentorship programs, and networking opportunities further enhances the likelihood of entrepreneurial success in Canada. Fostering the entrepreneurial mindset and creating an environment that encourages innovation, collaboration, and continuous learning are essential for promoting venture success across the country. The study revealed a strong positive correlation between the entrepreneurial mindset and venture success among startups in Vancouver. Startups whose founders exhibited a higher level of entrepreneurial mindset are more likely to achieve sustainable growth, secure funding, and attract talented employees. Entrepreneurs with strong entrepreneurial mindsets actively sought partnerships, mentorship, and access to industry networks, enhancing their startups' visibility, growth opportunities, and potential for success. The study concluded that entrepreneurs who embrace calculated risks and introduce innovative products or services gain a competitive advantage and adapt to dynamic market conditions. Entrepreneurs who possess a resilient mindset, learn from failures, and persevere in the face of adversity have a higher likelihood of achieving venture success. The study recommended that in order to cultivate and nurture the entrepreneurial mindset among aspiring entrepreneurs, educational institutions should incorporate entrepreneurship education and training programs. Creation of incubators and accelerators that provide workspace, networking opportunities, and tailored support services will foster a collaborative environment for startups to thrive and overcome challenges. Keywords: Entrepreneurial Mindset, Venture Success, Startups, Canada

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 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 score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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