Impact of Social Entrepreneurship Education on Social Startup Creation: A Study of Selected Public Universities
Bibliographic record
Abstract
Abstract: Businesses fail due to lack of proper financial management practices. A lot of countries are in great recession because of mismanagement of public finance. Most developing nations have refused to implement good financial management practices in order to ensure transparency, and economic development in the country. However, the purpose of this research is to examine the relevance of financial management practices in developed and developing countries. In addition to the study, its aim is to compare how financial management practice is done in developing and developed nations. It entails the financial management structure in developed (USA and Canada) compared to that of developing countries (Ghana and Nigeria). The authors used secondary sources by reviewing archival literature of past studies such as journal and conferences proceedings, magazines, books, internet sources and so on. Discussion on how financial management will benefits household individuals, businesses and governments in a country are given in this research paper. The challenges faced in countries for lack of proper financial management practice are also included in this research paper. In this study, the authors found that finance has a great impact on the society, whether it being personal, business or public finances, they all play a key role in promoting growth and development in a country. The authors also found out that financial management help countries to prepare a detailed financial budget on how to track the expense and income of a country. Further empirical studies could be carried out by different authors by using qualitative and quantitative research method in order to get accurate data on the relevance of financial management practice in developing and developed countries.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| 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".