Healthcare Technology Transfer in Sub-Saharan Africa: Conceptual Framework Evaluation

Abstract

The research presented within this article sets out to evaluate a conceptual framework, consisting of five phases, aimed at facilitating health-related technology transfer to and within sub-Saharan African countries. The framework is constructed using a grounded theory process and is subsequently quantitively evaluated via a questionnaire survey instrument with two five-point Likert Scale measurement items namely perceived ease of use and usefulness. The survey addresses practicality via a frequency analysis with the framework receiving a perceived ease of use score of 2.992 and a usefulness score of 4.032. The survey instrument addresses the versatility of the conceptual framework's intended geographic application area through a variance analysis. For the perceived ease of use measurement item, Western and Central Africa received statistically significant p-values of 0.01178 and 0.02288, respectively, highlighting discrepancies in perceived ease of use within the first two phases of the conceptual framework. No statistically significant variances are uncovered with respect to the usefulness measurement item. The final evaluation measure addresses utility via a regression analysis with the relationship between technology adoption and the five phases receiving p-values ranging from 0.643, 0.694, 0.751, 0.715, and 0.927.

Enhancing Supply Chain Innovation and Operational Agility Through Knowledge Acquisition From the Social Media: A Microfoundational Approach

“…As a statistical approach suited to validate how well a proposed model matches the data, we performed CFA to determine the hypothesized model's validity, reliability, and fitness. Compared to its analytical counterpart-i.e., exploratory factor analysis-CFA confirms the relationship between the observed and the underlying latent factors for the instruments already tested (e.g., [152]). CFA belongs to the broader family of methods known as Structural Equation Modeling (SEM) and plays a vital role in validating and evaluating measurement models [153].…”

Technology Policy and Sustainable Development in Nigeria

“…Sub-Saharan Africa has embraced technology transfer strategy as a principal means of incorporating technical change into their productive structure (Marais, Grobbelaar & De Kock, 2021; Yusuf and Shogbanmu 2 ). Technological change, however, is a multidimensional phenomenon: it involves changes in the socio-cultural, cognitive, and managerial attributes of society.…”

“…Transforming changes in the socio-cultural, cognitive and governance attributes of sub-Saharan African societies into a concept of policy sustainability raises important questions about how global social capital or assets should be shared between present and future generations. This capital consists of four components: man-made capital such as roads and factories, scientific and technical knowledge, natural capital such as fossil fuels and mineral deposits, and environmental assets such as clean air and water and a diverse biological base (Marais, Grobbelaar & De Kock, 2021). There is typically little concern over the first two.…”

“…Second, international firms delivered finished goods to the Sub-Saharan African market, particularly textiles and processed foods. Third, international firms later introduced the import-substitution approach, which became the first industrialization process to be implemented domestically in Nigeria (Marais, Grobbelaar & De Kock, 2021;Wangwe, 1995). It could therefore be argued from the outset that the colonial administration was not concerned with the setting-up of industrialization or the provision of infrastructure.…”

“…Exporting Technology for Sustainable Development Marais, Grobbelaar, and De Kock (2021) identified four components of the technology transfer strategy for Sub-Saharan Africa (including Nigeria). These policies include importing technology, upgrading the capacities of small and medium-sized businesses, strengthening technology infrastructure, and increasing the level of technological effort by large corporations (Table 2).…”