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Record W4388832396 · doi:10.2224/sbp.12750

The relationship between college students’ extraversion and entrepreneurial intention: The mediating role of perceived social support

2023· article· en· W4388832396 on OpenAlexaff
Peipei Wang, Wenmei Sun, Qiqi Zhong

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyExtraversion and introversionSocial psychologyBig Five personality traitsConstruct (python library)Social supportPersonalityScale (ratio)Structural equation modeling

Abstract

fetched live from OpenAlex

Our study presents the connection between extraversion, entrepreneurial intention, and perceived social support among college students, and draws from entrepreneurial event models, career choice theory, resource dependence theory, and buffer theory. We aimed to construct a relationship model linking extraversion, perceived social support, and entrepreneurial intentions, focusing on perceived social support as a personal resource. We conducted a survey involving 1,133 college students, employing the Chinese Big Five Personality Inventory, Entrepreneurship Intention Vector Scale, and Perceived Social Support Scale. Notably, male students exhibited significantly higher entrepreneurial intentions than their female counterparts. Moreover, we found that perceived social support partially mediated the link between extraversion and entrepreneurial intentions in college students. In summary, extraversion directly influences entrepreneurial intentions, with perceived social support acting as a mediating factor within this relationship. This study sheds light on the interplay of personality traits and social support in shaping entrepreneurial intentions among college students.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.342
Teacher spread0.274 · 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 routes1
Has abstractyes

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