MétaCan
Menu
Back to cohort
Record W2167342565 · doi:10.1177/0149206308331098

The GE Paradox: Competitive Advantage Through Fungible Non-Firm-Specific Investment

2009· article· en· W2167342565 on OpenAlex
Derek Lehmberg, W. Glenn Rowe, Roderick E. White, John R. Phillips

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

VenueJournal of Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsCompetitive advantageIndustrial organizationInvestment (military)BusinessProcess (computing)MarketingComputer science

Abstract

fetched live from OpenAlex

This study addresses two questions: (a) Does General Electric have an exceptional ability to develop non-firm-specific general management talent, and (b) how can GE’s investment into non-firm-specific, nonproprietary managerial capabilities be explained theoretically? The authors’ analysis provides evidence that GE has an extraordinary managerial development capability. Their theory suggests that GE’s managerial development process is valuable, rare, inimitable, and organized to be exploited, and therefore, a source of sustained competitive advantage. This process produces a flow of managers with the potential to be sources of temporary competitive advantage for GE. Outward flow of executive talent is a required byproduct of the process.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.798
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.224
Teacher spread0.209 · 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