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Record W2790433715 · doi:10.1108/ijoem-03-2017-0095

Business-family interface and the performance of women entrepreneurs

2018· article· en· W2790433715 on OpenAlexaff
Dianne H.B. Welsh, Eugène Kaciak, Esra Memili, Caroline Minialai

Bibliographic record

VenueInternational Journal of Emerging Markets · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsBrock University
Fundersnot available
KeywordsOperationalizationContext (archaeology)EmbeddednessPerspective (graphical)BusinessWomen entrepreneursEntrepreneurshipMarketingPsychologySociologyFinance

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the relationships between women entrepreneurs’ firm performance and two dimensions (enrichment and interference) of the business-family interface (BFI) in the moderating context of the level of economic development in two emerging countries – Morocco and Turkey. The enrichment perspective was operationalized as family instrumental (financial) and affective (moral) support, while interference was operationalized as gender-related personal problems. Design/methodology/approach The study drew upon the work-family interface (WFI) theory from the family embeddedness perspective in the context of institutional economics. In Morocco, a purposive sample of 116 women entrepreneurs completed a self-administered questionnaire using field collection, mail, and phone surveying methods. In Turkey, 147 women entrepreneurs completed the questionnaire online and through personal contacts in business organizations. Findings The findings indicated a positive relationship of family financial support with business performance of female entrepreneurs in Morocco, a less economically advanced country. However, family moral support is related to better firm performance in Turkey, a more advanced economy. Gender-related personal problems of women entrepreneurs appear to hamper their business performance in Turkey; while in Morocco, the performance of women entrepreneurs seems to improve in the face of such impediments. Practical implications The results provide initial evidence that female entrepreneurs benefit from the linkages of family-to-business enrichment in different ways, depending on the country’s level of economic development. In less economically developed countries, women entrepreneurs benefit more from instrumental rather than affective components of the enrichment dimension of the BFI. Conversely, in more economically advanced countries, female entrepreneurs benefit more from affective rather than the instrumental elements of this dimension. Likewise, the components of the interference dimension of the BFI affect female entrepreneurs differently depending on the economic development of the countries. Women in the less-developed country of Morocco are less impeded by their personal problems compared to their counterparts in Turkey, a more developed economy. Actually, Moroccan women entrepreneurs improved their business performance when facing obstacles, most likely due to their increased inner strength and resilience acquired when battling adversarial institutional conditions. Originality/value The present study makes three unique contributions to the entrepreneurship literature. First, the study links the two BFI dimensions (enrichment and interference) to firm performance with an exclusive focus on female business owners. Second, within the construct of enrichment, the study employs both family instrumental and emotional support. Third, the study shows that the country’s level of economic development moderates the relationships between the BFI dimensions and firm performance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.237
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations66
Published2018
Admission routes1
Has abstractyes

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