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Record W4213147554 · doi:10.1080/00472778.2021.2024216

Psychological resilience of entrepreneurs: A review and agenda for future research

2022· review· en· W4213147554 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

VenueJournal of Small Business Management · 2022
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Windsor
FundersJoachim Herz Stiftung
KeywordsOperationalizationResilience (materials science)Face (sociological concept)Empirical researchProcess (computing)Psychological resiliencePsychologySociologySocial psychologyPublic relationsPolitical scienceComputer scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

Given that entrepreneurs face substantial adversity in initiating and developing new ventures, a burgeoning stream of research has sought to understand the concept of entrepreneurs’ psychological resilience. To structure and synthesize what we know about entrepreneurs’ psychological resilience, we systematically review the empirical literature to provide insights on how it has been conceptualized and operationalized, along with its key antecedents and outcomes. Based on our review, we advance a promising agenda for future research, grounded in connecting the psychological resilience of entrepreneurs to other research areas connected to the new venture development process. Overall, we point to the urgent need for theoretical precision to enhance the utility of empirical contributions, suggest promising research designs, expand on the important role of adversity, discuss potential boundary conditions, elaborate on the link between entrepreneurs’ psychological resilience and organizational resilience, and address the potential dark side of resilience.

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)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.279
GPT teacher head0.532
Teacher spread0.253 · 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