The Relationship Between Organizational Learning and Innovation: A Case Study of Learning Organizations
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 examines how organisational learning and innovation interact. Innovation, which boosts productivity and competitiveness, requires workplace learning. This study examines the interactions of these two main variables holistically. 300 employees from 100 enterprises and 100 stakeholders with close relationships to these organisations are polled, interviewed, and their corporate records evaluated in a mixed-methods study. We assess how well these companies’ organisational learning practices foster innovation. This study’s findings on organisational learning and creativity illuminate various aspects, including knowledge generation, sharing, application, and reflection. The study also examines organisational barriers to innovation and learning. This study analyses employee and stakeholder perspectives to better understand organisational learning and innovation. These findings affect the development of learning, innovation, and corporate performance approaches. This study helps companies capitalise on the synergy between organisational learning and innovation to grow and compete.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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