Bibliographic record
Abstract
In the literature on entrepreneurship and those who make good entrepreneurs, empirical support is divided on whether personality profile of an entrepreneur should be established and whether such profile can hold its ground given that entrepreneurial abilities and aptitude as well as business success are both affected by environmental factors.Regardless of this debate, scholars have been consistent in empirically validating the link between certain personality traits and entrepreneurship abilities, business creation and business success as well as ability to benefit from entrepreneurship training.Furthermore, entrepreneurial abilities of people in a nation have been equally traced to increased economic growth and technological advancement as well as the competitive advantage of such a nation in the world economy.Given the above reasons, it was the position of this study, that the precarious economic situation of the country presently and the resulting solutions centered around wealth generation through encouraging entrepreneurship activities in the Nigerian populace should also take into consideration personality testing in order to clearly identify those who can benefit from entrepreneurship endeavours and training.This study therefore sets to extend the literature on the personality profile of the entrepreneur bringing evidence from Nigeria.Achievement motivation defined as "behaviour towards competition with a standard of excellence" (McClelland, 1953) emerged as one of the personality traits that have been consistently linked to entrepreneurship and business success; the study therefore compared entrepreneur and non-entrepreneur on this trait.A total of 96 (48 entrepreneurs and 48 salary-paid workers) participants selected through convenience sampling responded to Herman's (1970) nine dimensions of Achievement Motivation Questionnaire adapted by Eyo (1986).The result of t-test comparison showed entrepreneurs to be higher in global achievement motivation than non-entrepreneurs.Comparison on each of the nine dimensions only yielded significance for four of the nine dimensions which were achievement behaviour, persistence, task tension and time perspective.Female entrepreneurs also had higher aspiration level than male entrepreneurs.The implication of this findings were discussed in relation to fostering entrepreneurship in Nigeria for sustainable development and international competitiveness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.907 | 0.897 |
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; the direct Gemma label and the distilled Codex classifier 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".