The Personal Resources of Successful Leaders: A Narrative Review
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
Leaders’ practices or overt behaviors are the proximal causes of leaders’ effects on their organizations; they also dominate the research about successful leadership and often the content of leadership development programs, as well. But knowledge about those practices is, at best, a necessary but insufficient explanation for successful leadership and how it can be developed. This paper explores three categories of “personal leadership resources” that help explain why especially successful leaders behave as they do. These resources are often referred to as “dispositions”, a term sometimes considered synonymous with traits, abilities, personal leadership resources and elements of a leader’s personal “capital”. The focus of this chapter is on three categories of resources (social, psychological and ethical) identified primarily through systematic research methods. For each category, the paper identifies the conceptual lens through which its dispositions are viewed and provides an explanation for how each of the specific dispositions within the category contributes to leaders’ success. The paper also reviews a sample of evidence about contributions each disposition makes to leaders’ success in achieving valued organizational outcomes. Implications for research and leader development are discussed in the concluding section of the paper.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it