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The purpose of this paper is to present a mobile application supported townshipand urban e-grocery distribution models that uses a software application (app) to bridge the infrastructural barriers, costs and complexities associated with e-grocery delivery operations in rural township areas.

Using a qualitative multi-case approach and semi-structured interviews, the study explored distribution practices of eight national emerging e-grocery retail businesses to demonstrate how mobile applications can facilitate South African urban and township e-grocery delivery models.

The study reveals how the need to scale the use of new mobile application innovations fuels value-added services that power new e-grocery distribution models. Of interest is how the application aggregates demand rapidly, respond to demand within a short lead time and how e-grocers use competitors’ stores as their fulfilment centres. The use of apps reveals a slow transformation of society towards an inclusive model that integrates different types of workers in an informal context.

The mobile application value-added service business model offers a new wave of scaling e-grocery retail to rural and township areas constrained by technological, economic and road infrastructure. The apps transcend e-grocery barriers and enables small businesses with limited resources to leverage e-grocery market opportunities that are unimaginable in townships and rural areas.

The innovative mobile platform-base model offers emerging contextual insight of a pull e-grocery distribution model that demonstrates the supply chain innovations for addressing under-resource and under-developed logistics infrastructure.

Artemisinin-based combination therapies (ACTs) have been developed to treat uncomplicated malaria. However, scanty studies exist to inform the role of macro factors in explaining the nonavailability of ACT in developing countries. Therefore, this paper aims to evaluate the different macro-environment factors affecting the availability of ACTs in the public hospital setting.

This study applied a quantitative methodological approach and structural equation modeling (SEM) to test hypotheses statistically. SEM examines linear causal relationships among variables while accounting for measurement error. Confirmatory factor analysis (CFA) was used to assess model reliability. CFA and SEM were used to determine the shared variance-covariance of variables, define the latent construct and provide a more precise way to account for the error variances associated with the variables, which, if untested, could lead to biased parameter estimates. This was guided by the data collected from 40 general public hospitals with 283 respondents.

This study’s results support a model for promoting social-cultural, technological and legal factors. The availability of ACTs is significantly affected by legal factors. Improving legal aspects by a unit can enhance ACT availability by 0.59. Political factors scored the least, and they do not influence the availability of malaria drugs.

The design was quantitative and cross-sectional. Future research could be longitudinal with a mixed-method approach and consider other external stakeholders.

Reducing the impact of the nonavailability of antimalarial drugs in general public hospitals requires a holistic concerted and coordinated supply chain approach that tackles the political, economic, social-cultural norms, technological and legal factors.

The authors develop and test a model using macro factors: political, economic, social, cultural, technological and legal factors. This model is relevant for many developing countries to supply chain coordination perpetually experiencing medicine shortages.

This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.