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Record W2164834995 · doi:10.1002/smj.972

Unpacking Firm Exit at the Firm and Industry Levels: The Adaptation and Selection of Firm Capabilities

2011· article· en· W2164834995 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

VenueStrategic Management Journal · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUnpackingSelection (genetic algorithm)Adaptation (eye)BusinessWork (physics)Industrial organizationDynamic capabilitiesBridge (graph theory)MarketingKnowledge managementComputer sciencePsychologyEngineering

Abstract

fetched live from OpenAlex

Abstract Evolutionary theory of business activity studies how firms are selected out of environments in which they do not fit, but most existing work underemphasizes the distinction between acquisition and dissolution as selection processes. We address this gap with a multilevel analysis that investigates how managerial and functional organizational capabilities affect whether struggling firms exit by acquisition or dissolution. We demonstrate that managerial and functional capabilities have heterogeneous effects on selection processes, with managerial capabilities having particularly strong influence on acquisition exits by struggling firms. The work provides a bridge between adaptation and selection views on organizational change; exit by dissolution represents selection of both firms and capabilities, while exit by acquisition represents firm selection but capability adaptation. Copyright © 2011 John Wiley & Sons, Ltd.

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 categoriesInsufficient 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 score0.304
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
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 head0.146
GPT teacher head0.241
Teacher spread0.095 · 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