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Record W4322501922 · doi:10.1177/10422587231151957

Entrepreneurial Entropy: A Resource Exhaustion Theory of Firm Failure From Entrepreneurial Orientation

2023· article· en· W4322501922 on OpenAlexaff
Nazha Gali, Mathew Hughes, Robert E. Morgan, Catherine L. Wang

Bibliographic record

VenueEntrepreneurship Theory and Practice · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsEntrepreneurial orientationBusinessResource (disambiguation)Business failureIndustrial organizationEntrepreneurshipFinance

Abstract

fetched live from OpenAlex

Entrepreneurial orientation (EO) can generate substantial gains and losses, exhausting firm resources and straining a firm’s ability to sustain its activities. We develop and test a resource exhaustion theory of firm failure, conceptualizing conditions under which EO increases the risk of firm failure by generating unsustainable amounts of entrepreneurial entropy. Using panel data on 804 large U.S. high-technology firms over 18 years, we find that EO increases the risk of firm failure, which is mediated by the lack of organizational resource slack. An abrupt change in EO increases the risk of firm failure, especially among underperforming 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 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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.261
Teacher spread0.239 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations24
Published2023
Admission routes1
Has abstractyes

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