The impact of executive coaching on self‐efficacy related to management soft‐skills
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
Purpose Executive coaching has become an increasingly common method to skill development. However, few rigorous empirical studies have tested its capacity to generate outcomes. The purpose of this paper is to investigate the links between executive coaching and self‐efficacy in regard to supervisory coaching behaviors. Design/methodology/approach The paper reports on a pretest‐posttest study of a leadership development program using three training methods: classroom seminars, action learning groups, and executive coaching. Data are collected in a large international manufacturing company from 73 first‐ and second‐level managers over an eight‐month period. Findings Results indicate that, after controlling for pre‐training self‐efficacy and other training methods, the number of coaching sessions has a positive and significant relationship with post‐training self‐efficacy. Results also show that utility judgment, affective organizational commitment, and work‐environment support have each a positive and significant relationship with post‐training self‐efficacy. Practical implications The paper first suggests that an organization that wishes to improve its return on investment with regard to coaching should implement a program with multiple sessions spread over a period of several months. This paper also suggests that organizations should consider coaching from a systemic point of view, that is, taking into account not only the design but also individual and situational variables. Originality/value This paper contributes to the scientific literature by investigating, with a solid methodological design, the capacity of executive coaching to increase self‐efficacy related to management skills.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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