Bibliographic record
Abstract
With China emerging as a new frontier of global IT outsourcing, many Chinese IT service suppliers are actively expanding in three major markets: Asia, especially Japan, the West, especially the United States, and the Chinese domestic market. Compared to multinational suppliers and established Indian suppliers, Chinese IT service firms are at a relatively early, but rapidly growing stage, which offers a unique opportunity to explore an understudied topic in the information systems literature: internationalization strategies of IT service suppliers from emerging economies. Through a three-part qualitative case study of 13 China-based IT service firms, including almost all of the Chinese suppliers recognized globally, this study elaborates the inter-nationalization behavior and decision rationale of these suppliers. The findings show that these major Chinese suppliers include both firms that incrementally internationalize and firms that are “born global.” For both types of firms, the entry and growth in different markets is a highly dynamic activity combining a strategically planned, resource-seeking process and a flexible, opportunistic bricolage process based on existing operation capabilities and client relationships. The suppliers dynamically oscillate between these processes to exploit and create opportunities while expanding in multiple markets.
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 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".