The Process of Retail Internationalization in the Chinese Market: A Case of Japanese Fashion Company
Bibliographic record
Abstract
Since China’s ingress into the World Trade Organization (WTO), to a greater extent, multinational business enterprises have entered the market. Fashion industries, for instance, led by European and American apparel retailers, including many Japanese companies, have begun to pay attention to the Chinese market. This is embodied in diverse formats of retailing outlets with international expansions. The intent of this paper is to present an empirical study for improving the framework of retail internationalization processes in the Chinese market, and to provide a perception of the interface between retailing and building customer relationship. Case studies approach is employed in this study to build theories. The objectives of this research are (1) to investigate the processes and barriers of entering the Chinese market by looking at a case study of a Japanese fashion retailer; (2) to clarify the characteristics of each stage of international expansion by applying dynamic capabilities based on a framework that makes a distinction between a firm’s first stage, second stage and third stage; and (3) to indicate the emergence of a new retail format, called a “house brand store,” and its important role in retail internationalization and customer relationship management.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".