Women and leadership in non‐listed private companies in an emerging country: An analysis of barriers and facilitators
Bibliographic record
Abstract
Abstract This study explores women's barriers to accessing leadership positions within non‐listed private companies in Bangladesh, drawing on the Gendered Organization Theory (GOT) as a conceptual framework. This research seeks some possible solutions to overcome these barriers. The study adopts a two‐wave qualitative methodology: semi‐structured interviews with 16 women professionals and subsequent focus‐group discussions to explore solutions. Results reveal that women face significant barriers, such as long working hours, gender pay gaps, unclear responsibilities, biased promotion processes, lack of training, and sexual harassment. These barriers are conceptualized in terms of implicit and explicit gender biases. Research participants emphasized individual efforts like self‐determination, upskilling, job switching, technology leveraging, and family support as key factors in overcoming these obstacles. The study underscores the need for organizational and governmental interventions to promote female leadership and gender equity in non‐listed companies in developing 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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".