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Record W2058113537 · doi:10.4018/ijabim.2013100103

Internationalization Strategies of Chinese Pharmaceutical Firms

2013· article· en· W2058113537 on OpenAlexaff
Xiaohui Li, Yunshan Lian, Jingyuan Zhao

Bibliographic record

VenueInternational Journal of Asian Business and Information Management · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInternationalizationBusinessEmerging marketsIndustrial organizationChinese marketOutsourcingProduct (mathematics)CertificationMarketingMarket shareDomestic marketChinaCommerceInternational tradeEconomicsFinanceManagement

Abstract

fetched live from OpenAlex

Chinese pharmaceutical market value is about USD 110 billion in 2009, and it has become the world’s second largest market. Chinese pharmaceutical firms are becoming a growing player in global pharmaceutical chains. In this paper, sample firms are selected and surveyed with a focus on effective internationalization strategies and paths, through an empirical research, this paper summarizes the internationalization of Chinese pharmaceutical firms, and finds the effective strategies of international market entry are product upgrading along the industrial chains, international certification and cooperation, outsourcing and licensing, and other paths of overseas expansion. The implication for pharmaceutical firms in emerging market is to choose the suitable strategies based on own advantages, learn from the experience of other emerging market and domestic leading companies of internationalization, and gradually enter the standard market. This study not only provides international market entry strategies for the latecomers of Chinese pharmaceutical firms, but also enriches the internationalization theory of emerging market.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.014
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.252
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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