Bibliographic record
Abstract
The study investigated the role of entrepreneurship studies to promote effective business management of Small and Medium Scale Enterprises (SMEs) among tertiary school graduates in Edo State.It determined the graduates' effectiveness in diversity management in their business venture applying the entrepreneurial knowledge and skills they acquired from school training experiences.The study population comprised all the 40,333 graduates (2009/2010-2012/2013 Academic Sessions) from the target public institutions (universities, polytechnics and colleges of education).450 respondents were selected using simple random sampling technique.One research question guided the study which was hypothesized.The descriptive survey research design was adopted for the study and a 20-item structured questionnaire was used as instrument for data collection.The instrument was validated by 4 experts and tested for its reliability using the Cronbach Apha and a reliability value of 0.89 was realized.The data collected were analysed using descriptive statistics of mean and standard deviation to answer the research question and determine the homogeneity of respondents' opinions while the formulated hypotheses were tested with ANOVA at 0.05 level of significance.The findings revealed among others that the entrepreneurial knowledge and skills the respondents acquired from their school training experiences facilitate their competencies in effective business management irrespective of customers' cultural background, buying habits, brand loyalty, socio-economic status among others.Against this backdrop, it was recommended among others that government should provide incentives for entrepreneurship undergraduates and place entrepreneurship studies on top priority list in the fiscal budget in order to produce competent graduate entrepreneurs who can assume their effective role in the world of work to boost the nation's drive for private sector driven economy and Edo State in particular.
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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) | 0.999 | 0.995 |
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; both teacher heads agree on what is shown here.
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".