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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.

Several intergovernmental organizations claim that the involvement of women in public procurement has a direct impact on sustainable development and growth, especially in the developing world, yet we know very little of such claim. This study aims to empirically examine how public procurement can contribute to women empowerment by boosting the competitiveness of women-owned businesses (WOBs) in Uganda.

In this study, a cross-sectional survey method is used. Quantitative data were gathered from a sample of 371 respondents in Ministries, Departments and Agencies (MDAs) and a section of women entrepreneurs in Uganda's capital Kampala. From the literature review, six hypotheses were formulated and tested using structural equation modelling (SEM). A research model is developed and presented.

All hypotheses, except for one, were supported. Procurement policy had a significant influence on evaluation criteria, contract management and most importantly, on the competitiveness of WOBs. Within the procurement process, evaluation criteria had a significant influence on the competitiveness of WOBs, while the influence of contract management on competitiveness of WOBs was not statistically significant. We, therefore, concluded that public procurement can indeed enhance women empowerment through a gender-responsive procurement policy. Above all, pre-contract award interventions such as streamlining evaluation criteria to ease access of WOBs to public procurement contracts seem have the most significant impact to competitiveness of WOBs compared to post-ward interventions during contract management.

This study offers a research-based model that articulates the role of procurement policy as an enabler for competitiveness of WOBs in developing countries. The model proposes a combination of both policy (a direct influence) and interventions in the supplier selection process (an indirect influence) to boost the competitiveness of WOBs.

Technology competencies (TC) and human resources (HR) play a vital role in enhancing productivity in any industry. Yet the significance and interplay of these two factors in developing economies such as Uganda that are kick-starting oil exploration is not clear. Using structural equation modeling (SEM), the underlying relationship between technology, human resources and productivity in the petroleum industry is established.

To examine the interrelationship among the independent factors (TC and HR) and the dependent factor (productivity), a questionnaire was used to collect data from respondents in Uganda. All the targeted respondents come from the oil exploration side of the industry in Uganda. SEM, a multivariate statistical analysis technique, was applied to analyze the underlying relationships among variables.

The findings suggest that TC and HR positively and significantly influence the petroleum industry productivity (PI). Both TC and HR explain a 32% variation of the observed improvement in productivity. The relationship between the independent variables (TC and HR) and dependent variable (PI) is summarized using the equation ΔPI = 0.36 TC + 0.25 HR, with TC having a more significant effect on PI than HR.

The study thus proposes to governments and oil companies in resource constrained environments that adoption of advanced technologies in oil exploration plays a relatively much bigger role and has an overarching impact on productivity especially in countries with small scale production, or in hostile environments or with unconventional hydrocarbon reservoirs.

For developing economies with fewer resources that often face economic tradeoffs, the study examines the significance of TC and HR development in expanding the oil and gas sectors. This work, to the best of the authors’ knowledge, is among the few studies that have examined the impact and the interplay of TC and HR on the productivity of emerging oil industries in developing economies such as Uganda.