MétaCan
Menu
Back to cohort
Record W3193074463 · doi:10.1177/14657503211035477

Mitigating work interference with family by leveraging an entrepreneurial strategic posture

2021· article· en· W3193074463 on OpenAlexaff
Dirk De Clercq, Eugène Kaciak, Narongsak Thongpapanl

Bibliographic record

VenueThe International Journal of Entrepreneurship and Innovation · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsBrock University
FundersNarodowe Centrum Nauki
KeywordsWork (physics)EntrepreneurshipResource (disambiguation)BusinessQuality (philosophy)Process (computing)Marketing

Abstract

fetched live from OpenAlex

This article adds to entrepreneurship research by detailing the mediating role of work-related emotional exhaustion in the connection between the extent to which women entrepreneurs experience work interference with family—defined as the degree to which the quality of their personal lives is compromised by work demands—and the performance of their businesses. It also predicts a buffering role of the entrepreneurial strategic posture of their businesses in this process. Survey data collected among women entrepreneurs in Chile indicate that the depletion of entrepreneurs’ work-related energy resource reservoirs is an important reason that increasing levels of work interference with family diminish business performance. This mediating role of emotional exhaustion is less prominent when they run their businesses entrepreneurially, which might help them find innovative solutions for the negative spillovers of work stress into the family domain. This research therefore reveals a critical challenge for women entrepreneurs who suffer in their personal lives due to pressing work demands: the associated emotional drainage compromises the success of their business endeavors, which eventually can generate even more hardships. This study also shows how women entrepreneurs can address this challenge, that is, by drawing from the novel insights that arise from an entrepreneurial strategic posture.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
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 head0.035
GPT teacher head0.247
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueThe International Journal of Entrepreneurship and InnovationSame topicFamily Business Performance and SuccessionFrench-language works237,207