| Although e-medicine, just as with all information technology (IT), was developed and piloted in developed countries, it has not been successfully applied to address pressing medical problems in SSA (Mbarika & Okoli, 2003; Maher, et al., 2010). There is a lot of research that has been conducted in the last decade on telemedicine in sub-Saharan Africa (SSA). However there are few studies on sustainability of e-medicine initiatives and transfer of e-medicine in SSA, a region still much overlooked in mainstream information systems research and policy research.;Organizations in developed countries such as the United States of America (USA) and Canada face difficulties and challenges in technology transfer from one organization to another, the complexity of problems easily compounds when such transfers are attempted from developed to developing countries, due to differing socioeconomic and cultural environments. There is a gap in the formation of research and education programs to address technology transfer issues that go beyond just transferring the technologies to sustaining such transfers for longer periods. Knowledge management in the health sector remains a key factor in sustainability of e-medicine. This research asks questions of; 1. How does technological, institutional and social environmental factors impact sustainable e-medicine transfer outcomes? 2. What is the impact of knowledge management on sustainable e-medicine transfer outcomes?;A mixed approach was adopted for this study to obtain the results to support the research approach and the models applied to test and measure the hypothesis formulated for the study and to generate answers to the research questions for the study. Structural Equation modeling was also adopted for this study, which allows both confirmatory and exploratory modeling that is suited to both theory testing and theory development.;The empirical models estimated coefficients were positive, showing a unidirectional constructs and that the data were reliable. The study reports that the measurement model revealed that all factors loaded in the same direction, significant at P-Value<0.01 and there was a model fit. The model will offer opportunities to develop, test, and extend theoretical models that explain the process of ICT transfers specific to the Sub-Saharan Africa context and focusing on sustainability of e-medicine in Sub-Saharan Africa.1;1 Acknowledgements: This research was based upon work partially funded by the National Science Foundation (NSF) under Grant Nos. 0644395 and 0811453. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF... |
