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This paper proposes an interpolating approach of the element‐free Galerkin method (EFGM) coupled with a modified truncation scheme for solving Poisson's boundary value problems in domains involving material non‐homogeneities. The suitability and efficiency of the proposed implementation are evaluated for a given set of test cases of electrostatic field in domains involving different material interfaces.

The authors combined an interpolating approximation with a modified domain truncation scheme, which avoids additional techniques for enforcing the Dirichlet boundary conditions and for dealing with material interfaces usually employed in meshfree formulations.

The local electric potential and field distributions were correctly described as well as the global quantities like the total potency and resistance. Since, the treatment of the material interfaces becomes practically the same for both the finite element method (FEM) and the proposed EFGM, FEM‐oriented programs can, thus, be easily extended to provide EFGM approximations.

The robustness of the proposed formulation became evident from the error analyses of the local and global variables, including in the case of high‐material discontinuity.

The proposed approach has shown to be as robust as linear FEM. Thus, it becomes an attractive alternative, also because it avoids the use of additional techniques to deal with boundary/interface conditions commonly employed in meshfree formulations.

This paper reintroduces the domain truncation in the EFGM context, but by using a set of interpolating shape functions the authors avoided the use of Lagrange multipliers as well as of a penalty strategy. The resulting formulation provided accurate results including in the case of high‐material discontinuity.

This research focuses on the extent sharing economy transforms employability for women impacted by domestic and reproductive work. The authors explore the experience of mothers, of how digital peer-to-peer (P2P) platforms can affect their self-perceived employability and skills deterioration by unlocking human capital through technology acceptance.

This study adopted a pragmatism-based approach incorporating using a single-case study research design with the Gioia methodology. It utilised a semi-structured telephone survey to collect data to explore the decisions around usage of a newly developed mobile P2P app, aiming to support employability among mothers. Analysis was conducted inductively using thematic analysis and partial least squares structural equation modelling (PLS-SEM).

The study finds that mothers experience high rates of continued labour market attachment on a casual or part-time basis, difficulty in juggling family and work, and high levels of concern both about future employment/entrepreneurial opportunities and expected stress in balancing dual roles of carer and earner. While mothers are interested in using new sharing economy technologies to reduce skills deterioration and improve signalling, the authors find that there were both technology and non-technology related barriers. These included trust and security, life-stage mismatch, time poverty and limitation of service offerings.

This research was limited to mothers in one state in Australia and by the case study research design, the measurement model and the self-report nature of the data collection. Hence, the findings may lack generalisability in other contexts. It also limits the ability to make conclusions regarding causality.

This exploratory study contributes to research in the intersection between human resources (HR) and entrepreneurship by illustrating how sharing economy platforms can offer women a means to overcome the issues of signalling and skills deterioration in relation to aspects of human capital theory by developing new skills that may act as positive signals signal to potential employers or investors. Additionally, the social interactions between mothers, through technology adoption, can provide a basis for improving future self-employment or entrepreneurship and employability.