The sharing and management of managers' knowledge: A structured literature 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
The management and sharing of managers' knowledge constitute vital components of organizational success and performance. A range of existing studies on managerial knowledge has analyzed various aspects of knowledge sharing and management on a patchwork basis. With future research developments in mind, some stock‐taking of the current body of research studies should now be undertaken for the purpose of obtaining a clearer understanding of how managerial knowledge is and could be shared and managed. Specifically, this study strives to reply to three questions: (1) What is the status of the development of literature concerning managers' knowledge? (2) What are the various conceptualizations of managers' knowledge and of its sharing and management? (3) What are the main determinants of the sharing and management of managers' knowledge that have been identified in the literature? A structured literature review method was used to code and analyze 57 studies published between 1997 and 2016. The results show that 128 authors produced an average of 3.2 publications per year, offering an abundance of conceptualizations of managers' knowledge and of its sharing and management. Several individual and organizational determinants of managerial knowledge sharing and management were identified in our review. The various findings provide a basis for orienting future research in this field.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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