STAGES OF SMALL ENTERPRISE DEVELOPMENT: A COMPARISON OF CANADIAN FEMALE AND MALE ENTREPRENEURS
Bibliographic record
Abstract
The explosive growth in the rate of new business formation by women has spurred renewed research interest in the area of female entrepreneurship and its related economic impact. Yet, there has been a dearth of research into the influence of gender on new venture formation and development. This study draws on data from the annual survey of the Global Entrepreneurship Monitor to examine the differences between female and male entrepreneurs in the early stages of small enterprise development. The data was aggregated for the period 2002 through 2004, and consisted of 444 Canadian entrepreneurs: 164 females and 280 males. Gender differences are explored within the context of a variety of personal as well as business-related variables. Women entrepreneurs had a much greater propensity to have established a consumer or business services enterprise, and reported significantly lower income levels. In addition, they were less likely than their male counterparts to work full time at their business, to utilize new technology or to anticipate new business opportunities in the near term. In terms of the enterprise's stage of development, it was found that 62 percent of the enterprises operated by females were ‘nascent’ small firms, while 38 percent were ‘new;’ the respective proportions for males were 55 percent and 45 percent. The analysis revealed that the difference between genders on business-related variables strengthens as the firm evolves through the stages of development from nascent to new; however, there was mixed support for the corollary hypothesis that differences in personal characteristics and attitudes diminish during this progression: even for ventures that have reached the ‘new’ phase, personal variables continue to act as important discriminators between genders. The paper provides a discussion of the implications of these empirical findings, as well as some directions for future research.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".