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1 – 2 of 2Ibrahim Mohammed, Wassiuw Abdul Rahaman, Alexander Bilson Darku and William Baah-Boateng
This study aims to examine the association between apprenticeship training and self-employment and how gender moderates the association.
Abstract
Purpose
This study aims to examine the association between apprenticeship training and self-employment and how gender moderates the association.
Design/methodology/approach
Secondary data from the World Bank’s Skills Towards Employment and Productivity (STEP) survey on Ghana were analysed using a binary choice (logit regression) model. The STEP survey drew its nationally representative sample from the working-age population (15–64 years) in urban areas.
Findings
After controlling for several factors identified in the literature as determinants of self-employment, the results indicate that completing apprenticeship training increases the likelihood of being self-employed. However, women who have completed apprenticeship training are more likely to be self-employed than men.
Originality/value
By examining the moderating effect of gender on the association between apprenticeship training and self-employment, this study has offered new evidence that policymakers can use to promote self-employment, especially among women, to reduce the entrepreneurial gap between men and women.
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Keywords
Berihun Bizuneh, Abrham Destaw, Fasika Hailu, Solomon Tsegaye and Bizuayehu Mamo
Sizing system is a fundamental topic in garment fitting. The purpose of this study was to assess the fit of existing police uniforms (shirt, jacket, overcoat and trousers) and…
Abstract
Purpose
Sizing system is a fundamental topic in garment fitting. The purpose of this study was to assess the fit of existing police uniforms (shirt, jacket, overcoat and trousers) and develop a sizing system for upper and lower body uniforms of Amhara policemen in Ethiopia.
Design/methodology/approach
In total, 35 body dimensions of 889 policemen were taken through a manual anthropometric survey following the procedures in ISO 8559:1989 after each subject was interviewed on issues related to garment fit. The anthropometric data were pre-processed, key body dimensions were identified by principal components analysis and body types were clustered by the agglomerative hierarchical clustering algorithm and verified by the XGBoost classifier in a Python programming environment. The developed size charts were validated statistically using aggregate loss and accommodation rate.
Findings
About 44% of the subjects encountered fit problems every time they own new readymade uniforms. Lengths and side seams of shirts, and lengths and waist girths of trousers are the most frequently altered garment sites. Analysis of the anthropometric measurements resulted in 13 and 15 sizes for the upper and lower bodies, respectively. Moreover, the comparison of the developed upper garment size chart with the existing size chart for a shirt showed a considerable difference. This indicates that inappropriate size charts create fit problems.
Originality/value
The study considers the analysis of fit problems and sizing system development in a less researched country. Moreover, the proposed data mining procedure and its application for size chart development is unique and workable.
Details