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Record W2154077938 · doi:10.1287/orsc.1080.0377

Third-World Copycats to Emerging Multinationals: Institutional Changes and Organizational Transformation in the Indian Pharmaceutical Industry

2008· article· en· W2154077938 on OpenAlexaff
Raveendra Chittoor, MB Sarkar, Sougata Ray, Preet S. Aulakh

Bibliographic record

VenueOrganization Science · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsYork University
Fundersnot available
KeywordsInternationalizationEmerging marketsMultinational corporationBusinessIndustrial organizationLiberalizationProduct (mathematics)Product marketIntellectual propertyResource dependence theoryEconomic systemMarket economyInternational tradeEconomicsFinance

Abstract

fetched live from OpenAlex

This article investigates how Indian pharmaceutical firms, facing discontinuous institutional changes in their domestic environment due to economic liberalization and intellectual property reforms, have undertaken organizational transformation. Internationalization of resources and product markets constitutes an important component of organizational transformation for local firms in emerging economies. Using longitudinal data on 206 Indian pharmaceutical firms from 1995–2004, we find that firms' access to international technological and financial resources enables product market internationalization. Furthermore, we theorize and find support for our predictions that the association between international resources and markets is conditioned by time and business group affiliation, and product market internationalization affects financial performance. Several implications thus emerge for theory and practice associated with the sources of competitiveness in emerging economy firms and their transformation into globally competitive multinational firms.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.035
GPT teacher head0.290
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations312
Published2008
Admission routes1
Has abstractyes

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