Introduction: Malaria is a killer disease in the tropical environment; artemisinin-based combination therapies (ACTs) play a central role in treating malaria. Thus, the supply and presence of ACT drugs in hospitals are a key feature in the fight against malaria. Supply chain management literature has focused on the private sector, and less attention has been paid to the public sector, especially hospitals. Aim: This study uses an interdisciplinary lens in investigating how to boost the supply and distribution of ACTs to save lives in low-income countries, specifically in Uganda. Methodology: The study adopted a quantitative research design using a questionnaire as the data collection instrument. Of the 440-population size, 304 of the sample population participated in the study. The model was estimated using structural equation modeling (SEM) to establish the causal relationship among the variables. Results: From the SEM analysis, all the hypotheses were significant at p < 0.05. The availability of ACTs is strongly affected by strategic dimensions (0.612), followed by operation dimensions (0.257); strategic determinants significantly affect operational determinants by a magnitude of 0.599. The indirect influence of the strategic determinants via operational determinants on the availability of ACTs is not significant. Overall, the factors explained 63.9% of the observed variance in the availability of ACTs, and the ACT availability can be predicted as follows: ACT availability = 0.612 × strategic determinants + 0.256 × operation determinants. Top management commitment and organizational responsiveness are among the items that positively affect the availability of ACTs. Conclusion: Strategically, hospital management should invest in cheap technology and software to minimize the unavailability of medicines. Our research suggests that strategic and operational determinants should be integrated into the hospitals’ core business and implemented by the top management. The article contributes to theoretical and policy direction in the public sector medicine supply chain, specifically in public hospitals.

PurposeTechnology 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.Design/methodology/approachTo 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.FindingsThe 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.Practical implications 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.Originality/valueFor 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.