The Emergence of Contemporary Chinese Enterprise: The Heterogeneity of National Culture, Corporate Controls and Integration Approaches in M&As
Bibliographic record
Abstract
Abstract This article aims to explore the emergence of the three main types of contemporary Chinese enterprises (CCEs),1 the heterogeneity of their underlying cultures beyond Confucianism, their adopted corporate controls and their implications for mergers and acquisitions (M&As). An interdisciplinary literature review is provided to investigate the interrelated concepts between ancient Chinese wisdom, traditional Chinese culture as embedded in its national culture, and dissimilar developments in the corporate culture of CCEs. The implications for corporate controls in relation to postmerger integration approaches are also examined. Theoretical analyses and propositions are then made regarding the reinforcing cultures, adopted corporate controls and the integration approaches among the three main types of CCEs in their M&A initiatives. Through a multiple‐case study of three proposed clusters of CCEs with distinct ownership structures, this article reveals the characteristics of these respective clusters as they seek growth and development through regional and international M&As. The heterogeneity among the clusters is reflected in their variations in human capital, corporate governance, and controls, as well as the efficacy of their M&A activities. © 2013 Wiley Periodicals, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".