The influence of the human resources business culture on organizational innovation: Comparative study from Canadian and Russian enterprises based in China
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
Abstract The paper illustrates adoption of innovation, Competitive Intelligence and Business Intelligence in unit of organizational structure. In practice, occurs a problem of administration, such as position allocation, assignment to positions, as well as arises a question: which of researched organizational structure unit is responsible for adaptation of decision making in cross-cultural environment. In the period of 2012–2014 the authors had been researching problems and experience of organization structure in Russian industrial enterprises based in China. The paper helps to understand, which of the positions (in this article we are talking about positions, related to innovation decision making, BI and CI) in international corporations are optimal for Canadian applicants, and which position are more suitable for Chinese employees. For more detailed review, it was decided to compare Canadian and Russian industrial enterprises, carrying on economical and business activity in China.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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