Women leaders' views on demand-side strategies
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine female leaders' attitudes toward demand-side strategies to close the gender-leadership gap and discuss implications for organizations. Design/methodology/approach This article describes the process of knowledge co-creation that took place using an engaged scholarship epistemology over 23 interviews with North American women in senior leadership roles. Findings Five key themes related to women leaders' attitudes toward demand-side strategies are discussed. Some felt uncertain or opposed toward these strategies, whereas others supported them. Support for these strategies was dependent on perceptions of backlash regarding the implementation of these strategies and the participants' career stage. Finally, participants acknowledged that demand-side strategies are insufficient in isolation and require additional organizational supports. Research limitations/implications These findings enhance our understanding and provide theoretical refinement of the mechanisms that drive female leaders' reactions to demand-side strategies to close the gender-leadership gap. Practical implications Participants advocated for certain practices to be considered when organizations contemplate the adoption of demand-side strategies. Importantly, participants advocated that the implementation of demand-side strategies would be insufficient unless organizations encourage greater dialogue regarding the gender-leadership gap, that top management support more gender inclusive leadership, and that male colleagues act as allies for women in leadership. Originality/value This article extends past research and theory by integrating the pragmatic perspectives of successful female leaders with previous empirical evidence to illustrate different reactions to demand-side strategies and ways for organizations to manage those in their efforts to close the gender-leadership gap.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".