A Dynamic View of Organizational Transformation: The Changing Face of Chinese SOEs Under Transition
Bibliographic record
Abstract
The controlled process of economic reform in China has attracted growing attention from around the world due to its significance for theory and practice. What has been missing in the literature is the temporal dimension, i.e., the changes over time in key variables such as organizational environment, firm strategic adaptations, and the performance implications, since Chinese reform officially began in 1978. Taking a dynamic systems perspective, and drawing literature from organizational study and thermodynamics, we follow the "staged model" of economic transition to study the changes in organizational environment and firm strategies over the last two decades. We suggest that as the result of more than two decades of well-controlled transitional process characterized by incrementalism, institutional environment has become more conducive to entrepreneurial activities, and consequently, firms responded with more willingness to take risk and innovate. Furthermore, we suggest such process has been escalated by an influx of newly founded firms that bring in added energy and complexity. Finally, we examine the changes leadership profile during transition. Implications for research and practice are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".