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The purpose of this study is to discuss the significance of “contextual factors” on the talent development of underserved populations. Understanding the “context” and background of an individual provides greater insight into their life experiences (Paik, 2013). Race, class and gender, in particular, play a role in one’s life, providing both barriers and opportunities.

To examine contextual and other factors, in-depth biographical case studies were systematically studied across 10 diverse notable artists and scientists. Over 85 autobiographies, biographies and other sources were carefully content-analyzed for commonalities and differences in artists’ and scientists’ lives.

Because of their ascribed statuses (e.g. race, class, gender), these individuals had to navigate their unique school and life circumstances. Within their sociocultural contexts, however, key relationships (e.g. parents, teachers, mentors and peers) helped mitigate the challenges. All artists and scientists had a “village” – key stakeholders who invested in them at every stage of their talent development.

Parents, teachers, mentors and peers are not only critical, but they are lifelines for talent development. Key implications discuss the role of contextual factors and support networks for aspiring diverse artists and scientists.

The theoretical framework for this study is based on the productive giftedness model (PGM) (Paik, 2013, 2015). PGM includes 10 key psychosocial and environmental factors and how they influence “productive giftedness” (e.g. achievements, accomplishments, leadership). Within the model, both “alterable” and “contextual factors” provide access to different opportunities, support and resources. The model is considered generalizable and applicable for diverse populations.

This study aims to challenge the generic interpretation of Multilatinas as Latin American firms that have been able to internationalize because of highly competitive strategic capabilities. The authors test whether capabilities that international business researchers commonly associate with internationalization are necessary at different stages of the internationalization process to better understand the extent to which emerging market (EM) firms need to develop them.

International business research suggests a positive association between strategic capabilities and firm internalization. However, it remains unclear what specific capabilities are necessary and when they are necessary. These questions are particularly important in the context of the internationalization of firms from emerging economies, such as Latin America. The authors apply necessary condition analysis (NCA) on a sample of Latin American firms at different internationalization stages to test what strategic capabilities represent necessary conditions for becoming a Multilatina.

The findings suggest that only a few strategic capabilities are necessary for Latin American firms to become “Multilatinas”. While entrepreneurial orientation and marketing and sales capabilities represent necessary conditions, EM firms may internationalize even though other capabilities are developed to a lesser extent. The authors reflect on how shifts in local markets and technology drive the emergence of different types of Multilatinas.

Measuring strategic capabilities across multiple EM firms implies a risk that firm-specific aspects are not fully captured. While the authors focused on the comparative competitive strength of capabilities and took great care to minimize measurement error, the authors acknowledge possible bias. Also, while NCA does not require a minimum sample size, findings from our sample of firms from four countries may not generalize to the region or other EMs.

As a relatively new statistical technique, the use of NCA has spread rapidly. To the best of the authors’ knowledge, the linkage between organizational capabilities and firm internationalization has not been tested from a necessary conditions perspective yet. The reflections on the “Multilatina” concept based on the notion of EM firms as configurations of strategic capabilities inform current debates on EM multinational enterprises.

The purpose of this research is present an experimental and numerical study of the mechanical properties of the acrylonitrile butadiene styrene (ABS) in the additive manufacturing (AM) by fused filament fabrication (FFF). The characterization and mechanical models obtained are used to predict the elastic behavior of a prosthetic foot and the failure of a prosthetic knee manufactured with FFF.

Tension tests were carried out and the elastic modulus, yield stress and tensile strength were evaluated for different material directions. The material elastic constants were determined and the influence of infill density in the mechanical strength was evaluated. Yield surfaces and failure criteria were generated from the tests. Failures over prosthetic elements in tridimensional stresses were analyzed; the cases were evaluated via finite element method.

The experimental results show that the material is transversely isotropic. The elasticity modulus, yield stress and ultimate tensile strength vary linearly with the infill density. The stresses and the failure criteria were computed and compared with the experimental tests with good agreement.

This research can be applied to predict failures and improve reliability in FFF or fused deposition modeling (FDM) products for applications in high-performance industries such as aerospace, automotive and medical.

This research aims to promote its widespread adoption in the industrial and medical sectors by increasing reliability in products manufactured with AM based on the failure criterion.

Most of the models studied apply to plane stress situations and standardized specimens of printed material. However, the models applied in this study can be used for functional parts and three-dimensional stress, with accuracy in the range of that obtained by other researchers. The researchers also proposed a method for the mechanical study of fragile materials fabricated by processes of FFF and FDM.