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Record W2808653066 · doi:10.1080/09537325.2018.1487551

Incubator interdependence and incubation performance in China’s transition economy: the moderating roles of incubator ownership and strategy

2018· article· en· W2808653066 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

VenueTechnology Analysis and Strategic Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of Waterloo
FundersHefei UniversityNational Natural Science Foundation of China
KeywordsIncubatorBusinessChinaCompetition (biology)Industrial organizationGovernment (linguistics)Economic systemMarket economyBusiness administrationEconomicsPolitical scienceEcology

Abstract

fetched live from OpenAlex

Taking an ecological perspective, we examine how two types of interdependence among business incubators located in the same region – mutualism and competition – affect the performance of these incubators. Using a dataset on Chinese National Technology Business Incubators (NTBIs) from 2008 to 2012, we show that incubator interdependence, measured by regional incubator density, has an inverted U-shaped relationship with a focal NTBI’s performance. We further explore how incubator ownership (government-owned vs. non-government-owned) and strategy (specialised vs. diversified) moderate the above relationship in China’s transitional economy. The results indicate that the linkage between incubator interdependence and incubation performance is stronger for non-government-owned and diversified business incubators. Theoretical and managerial implications are discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.458

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 communication0.0000.000
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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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