Centralization or Decentralization? How Can Digital Transformation Empowers Firm Performance?
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
Digitalization is a systematic shift driven by information technology. It is a long-term strategy aimed at improving firms' economic performance and fostering sustainable development. In this study, we utilize big data from China's A-share listed enterprises spanning from 2007 to 2022 to empirically examine the mechanisms through which digitalization affects firm performance. Research indicates that firm digitalization has a positive impact on firm performance. Specifically, for every 1 unit increase in the degree of firm digitalization, its performance increases by 0.36% in the current year and 0.26% in the following year. The result remains robust after undergoing a series of robustness tests. Furthermore, ownership concentration exerts positive moderating effects. When the ownership concentration increases by 1 unit, the positive impact of digitalization on enterprise performance will increase by 0.0001 unit. This study provides practical recommendations for businesses to effectively utilize digital technologies and achieve high-quality development.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it