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Record W3117564770

Trois essais sur l'intégration des réseaux et les affaires internationales: Analyse de l'industrie aérospatiale chinoise

2019· preprint· en· W3117564770 on OpenAlexaff
Yihan Wang

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2019
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEmbeddednessBusinessIndustrial organizationGeneral partnershipGuanxiGlobal value chainContext (archaeology)Knowledge managementBusiness networkingInternationalizationRelational viewEconomic geographyMarketingChinaBusiness modelEconomicsPolitical scienceInternational tradeElectronic businessGeographyComputer scienceSociologyComparative advantage
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the relationships between the structural configurations of interorganizational networks and the internationalization strategies of enterprises in thecontext of the developing knowledge-intensive industry situated in a large emergingeconomy. Addressing the contributions to complex knowledge acquisition and socialinfluence establishment, this work specifies the multi-scopes of a firm’s embeddedness inmultiplex networks providing crucial competitive advantages. In three inter-relatedchapters, a series of empirical analyses assess the impact of network linkages, partnershipdiversity, and global value chain governance mechanisms on a firm’s networkembeddedness respectively. Based on the hand-collected network data of diverse businessrelationships among 920 economic entities (firms, universities, R&D centers,governmental authorities) that are actively engaged in the development of China’saerospace industry, this thesis presents configurations of the three production networks -multiplex national production network, horizontal collaboration sub-network, and verticalsupply chain sub-network. After calculating the centrality indicators of all embeddednetwork players and detecting their affiliation to topological communities, this thesisapplies quantitative methods to distinguish the impact of several relational and geographicdeterminants of the network embeddedness of different types of firms (foreign-basedfirms, local SMEs, foreign subsidiaries etc.). Key findings of the thesis include: (1) howestablishing vertical supplier chain relationships and horizontal collaborative partnershipscoordinates topological community formation and enables foreign-based firms to acquireinsider’s knowledge; (2) the positive relevance of partnership diversity and the networkembeddedness of small and medium-sized enterprises (SMEs) in spite of their liability ofsmallness; (3) the strong dominance of original equipment manufacturers (OEM) acrossthe value chain stages, the contribution of co-location in industrial clusters to firms’proximity to the network core, and the interacting effect of liability of foreignness andregional economic development on a firm’s structural and relational embeddedness in anational production network. This thesis applies an inter-disciplinary approach combiningtheories and techniques in international business, economic geography, innovation andentrepreneurship. It characterizes the governance mechanisms of cross-border business viiinetworks and explains how various antecedents affect a firm’s network embeddednessrelated to its competitive advantages. Finally, this thesis outlines the strategic implicationsfor managerial practices and suggests future research perspectives.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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 designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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