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Record W4410410223 · doi:10.1108/mrr-02-2024-0085

Societal well-being, self-control and entrepreneurial re-entry

2025· article· en· W4410410223 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

VenueManagement Research Review · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsMacEwan University
Fundersnot available
KeywordsControl (management)BusinessEntrepreneurshipMarketingEconomicsManagementFinance

Abstract

fetched live from OpenAlex

Purpose This study aims to examine the influence of societal levels of well-being and self-control on re-entry of entrepreneurs who have had unfavorable exits during an external crisis. Design/methodology/approach Using 5,351 survey responses from the Global Entrepreneurship Monitor obtained from 29 countries post the 2008 economic crisis and supplementing with data from the World Values Survey, the authors show how well-being at the societal level influences entrepreneurial re-entry. Findings The study finds that societal-level dimensions of hedonic and eudaimonic well-being positively influence entrepreneurial re-entry. Further, this influence is mediated by societal-level self-control. Originality/value The study invokes the psychological dimensions of well-being and self-control as higher-order societal constructs that influence entrepreneurial re-entry. The novelty lies in suggesting the mechanisms through which societal-level well-being influences entrepreneurial re-entry after an exit during a crisis. While societal-level dimensions of well-being function as distal drivers of entrepreneurial re-entry, self-control acts as a proximal driver, and the effect of well-being in influencing re-entry is felt through self-control.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.771
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.040
GPT teacher head0.408
Teacher spread0.368 · 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