Effect of Entrepreneurial Orientation on Profitability of Women Owned Enterprises in Pokhara City, Nepal
Bibliographic record
Abstract
Entrepreneurial orientation is defined as an organization's strategic orientation, which seizure an organization's strategic making practices, managerial philosophy, and the organization's behavior, which are entrepreneurial. This study investigates the effect of entrepreneurial orientation on the profitability of women-owned enterprises in Pokhara City, Nepal, through mixed research method qualitative and quantitative analysis. The primary data were obtained from an in-depth interview with two experts of government offices and sixteen personnel/founder from women-owned enterprises. Secondary data were collected from Nepal Government and The World Bank. The study found that entrepreneurial orientation and its various dimension (Proactiveness, Innovativeness, Risk-taking, Competitive Aggressiveness, and Autonomy) are the major influencing factors to increase the profitability of women-owned enterprises. Furthermore, in the present context, women-owned enterprises should concentrate more on innovativeness to achieve profitability. Women should overcome all the issues and challenges they face at the personal level, social level, financial level, and government level, which will be vital in improving women-owned enterprises' business growth. The finding of this study helps the women-owned enterprises be more entrepreneurial to sustain and grow in the competitive market environment amid huge challenges and barriers.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".