Factors Influencing E-Entrepreneurial Intention among Female Students in Saudi Arabia
Bibliographic record
Abstract
Entrepreneurship has attracted enhanced attention in the twenty-first century. Entrepreneurial schemes vary the production and service sectors of a country's economy and lead it to increase its revenues and materialize speedy growth and development. However, the current Saudi regime has allowed enhanced social space to females, and a new social environment has paved the way for them to partake business opportunities actively. Thus, the aim of this study is to explore the direct impact of perceived social support towards e-entrepreneurial intention as well as the direct influence of perceived social support on the theory of planned behavior (TPB) components encompass attitude towards entrepreneurial, subjective norms, and self-efficacy of entrepreneurship. Also, this study examines the direct effect of the theory of planned behavior (TPB) components (attitude towards entrepreneurial, subjective norms, and entrepreneurial self-efficacy). Data were collected through questionnaires which were completed by 534 undergraduate female Saudi students have been selected randomly studying at various Saudi universities. Structural Equation Modeling (SEM) was used to test the model, and data analysis was carried out using Structural Equation Modelling – Partial Least Square (SEM-PLS). This study, therefore revealed that perceived social support has a positive impact on the e-entrepreneurship intention as well as the relationship between perceived social support and the components of the TPB (attitude towards entrepreneurial intention, subjective norms, and entrepreneurial self-efficacy) were statistically significant. Subsequently, the direct effect of the TPB components (attitude towards entrepreneurial and entrepreneurial self-efficacy) was significant, while the direct effect related to subjective norms and the e-entrepreneurial intention was insignificant. Therefore, this study offers theoretical and practical contributions to entrepreneurial studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".