Bibliographic record
Abstract
Purpose The purpose of this paper is to assess the role of managerial performance in the success of men‐owned businesses (MOB) and women‐owned businesses (WOB) for Canadian and Israeli entrepreneurs. Design/methodology/approach A process‐oriented approach, a relatively overlooked perspective in this field, was used for this assessment. The methodology used was based on two national samples from Canada and Israel (n=235) which included mostly members of a private business networking organization. Questionnaires were distributed to the respondents; only entrepreneurs with at least one employee were included. Findings Multilevel analyses revealed that gender is significantly associated with some managerial functions, but except for the business longevity – it is not directly associated with measures of business success; nationality is associated with two measures of business success: turnover and growth. Women entrepreneurs, both Canadian and Israeli, ranked significantly higher in some functions of their managerial performance compared to their male counterparts. Practical implications This study's main implications are in deciphering the major role of managerial performance and nationality and the relatively marginal effect of gender in business success measures, implying that the gender gap in successful entrepreneurial businesses is decreasing. These findings can become foundations for better understanding broader entrepreneurship questions and practice‐based researched endeavors. Originality/value This paper's main contribution is in the identified need for developing training and education programs for entrepreneurs in the areas of managerial skills and practices; as well as in opening future avenues for cross‐national assessments of a process‐oriented perspective in these areas.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".