Developing entrepreneurial leadership: the challenge for sustainable organisations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores the emerging contribution of leadership development to sustainable entrepreneurship. It addresses the need to develop research and effective practices, and suggests how this may be achieved in the context of the challenges organisations which aim for sustainability face in generating longer-term entrepreneurial leadership; in developing an entrepreneurial culture, and in facilitating people into leadership roles which bring about continuing innovation, development and growth. Based on a critical review of the relevant literature and on case-based research, a model for the development of sustainable entrepreneurial leadership is developed with four related themes of strategic direction, culture, community and entrepreneurial innovation. These are proposed as essential contributors to the development of leadership for longer-term sustainability of such organisations and to suggest a future research pathway. The article summarises four case studies developed from research with entrepreneurial leaders in sustainable community organisations, including private, 'for-profit', community, and social enterprise organisations, two in Canada and two in the UK. Interpretation of the cases identifies the importance of the leaders' principles and ethical values; community involvement; opportunity scanning; and social innovation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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 it