Research on the Influential Path of High Performance Work System on Employees' Breakthrough Innovation Behavior
Bibliographic record
Abstract
High performance work system is an enterprise work practice system based on the open innovation mode. It is an important driving force for the organization to carry out and implement knowledge search, actively acquire external knowledge, carry out knowledge diffusion, promote knowledge innovation and achieve breakthrough innovation. Under the national strategic goal of innovation-driven development, radical innovation is regarded as the core force for developing countries to realize leapfrog catch-up and transform from factor driven and investment driven to innovation-driven and knowledge-driven. For enterprises, breakthrough innovation is the key to achieve connotative growth. Therefore, this study explores the mechanism and influence path of high performance work system to promote employees' radical innovation behavior by constructing the structural equation model of high performance work system. The results show that high performance work system has a significant positive effect on employees' radical innovation behavior, and knowledge absorption and knowledge diffusion play a mediating role. Therefore, this study suggests that enterprises can stimulate employees' creative thinking and innovation ability by building a high performance work system, so as to achieve technological and knowledge breakthrough innovation and ensure sustainable development of enterprises.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".