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Enregistrement W3194011529 · doi:10.1108/jopp-11-2019-0078

Gender-responsive public procurement: strategies to support women-owned enterprises

2021· article· en· W3194011529 sur OpenAlex

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Notice bibliographique

RevueJournal of Public Procurement · 2021
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiquePublic Procurement and Policy
Établissements canadiensPublic Works and Government Services CanadaUniversity of Ottawa
Organismes subventionnairesGovernment of CanadaInnovation, Science and Economic Development Canada
Mots-clésProcurementBusinessGovernment procurementCeteris paribusGovernment (linguistics)MarketingGoods and servicesStratified samplingSample (material)Economics

Résumé

récupéré en direct d'OpenAlex

Purpose This paper aims to inform strategies to enhance public procurement opportunities for women-owned small- and medium-sized enterprises (SMEs). To do so, the study examines two research questions: To what extent are women-owned enterprises under-represented among SME suppliers to government; and Do barriers to public procurement – as perceived by SME owners – differ across gender? Design/methodology/approach The study draws on the resource-based view (RBV) of the firm and on theories of role congruity and social feminism to develop the study’s hypotheses. Empirical analyses rely on comparisons of a sample of 1,021 SMEs that had been suppliers to government and 9,376 employer firms that had not been suppliers to government. Data were collected by Statistics Canada and are nationally representative. Logistic regression analysis was used to control for systemic firm and owner differences. Findings Controlling firm and owner attributes, majority women-owned businesses were underrepresented as SME suppliers to government in some, but not all sectors. Women-owned SMEs in Wholesale and Retail and in Other Services were, ceteris paribus , half as likely as to be government suppliers as counterpart SMEs owned by men. Among Goods Producers and for Professional, Scientific and Technical Services SMEs, there were no significant gender differences in the propensity to supply the federal government. “Complexity of the contracting process” and “difficulty finding contract opportunities” were the obstacles to contracting cited most frequently. Research limitations/implications The limitations of using secondary analyses of data are well documented and apply here. The findings reflect only the perspectives of “successful bidders” and do not capture SMEs that submitted bids but were not successful. Furthermore, the survey did not include questions about sub-contractor enterprises, data that would likely provide even more insights about SMEs in government supply chains. Accordingly, the study could not address sub-contracting strategies to increase the number of women-owned businesses on government contracts. Statistics Canada’s privacy protocols also limited the extent to which the research team could examine sub-groups of small business owners, such as visible minorities and Indigenous/Aboriginal persons. It is also notable that much of the SME literature, as well as this study, define gender as a dichotomous (women/female, men/male) attribute. Comparing women/female and men/males implicitly assumes within group homogeneity. Future research should use a more inclusive definition of gender. Research is also required to inform about the obstacles to government procurement among the population of SMEs that were unsuccessful in their bids. Practical implications The study provides benchmarks on, and directions to, enhance the participation of women-owned SMEs or enterprises in public procurement. Strategies to support women-owned small businesses that comply with United Nations Sustainable Development Goals are advanced. Social implications The study offers insights to reconcile economic efficiency and social (gender equity) policy goals in the context of public procurement. The “policy-practice divides” in public procurement and women’s enterprise policies are discussed. Originality/value The study is among the first to use a feminist lens to examine the associations between gender of SME ownership and public procurement, while controlling for other salient owner and firm attributes.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,409
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0050,007
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,076
Tête enseignante GPT0,290
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle