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Record W4400824283 · doi:10.1111/radm.12714

Overseas R&D, domestic R&D, and parent company innovation performance in emerging market

2024· article· en· W4400824283 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueR and D Management · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBusinessBusiness administrationIndustrial organization

Abstract

fetched live from OpenAlex

Seeking research and development (R&D) capacity overseas is fast becoming an important leapfrogging strategy for emerging market enterprises. Combining knowledge‐based and institutional‐based views, this study develops an analytical framework for the impact of overseas and domestic R&D on the innovation performance of parent companies. Using panel data of 185 enterprises in China from 2012 to 2020, we find that overseas R&D significantly improves the innovation performance of the parent company; domestic R&D has a significant promoting effect on the innovation performance of the parent company, also playing a partial mediating role between overseas R&D and innovation performance of the parent company. Regional institutional quality positively moderates the relationship between overseas and domestic R&D. Our study contributes to a deeper understanding of the pathways and mechanisms through which overseas R&D affects emerging‐market firms' innovation performance.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.266
Teacher spread0.241 · 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