Cloud computing adoption by SMEs in Sub-Saharan Africa.

This research contributes to the growing body of research on cloud computing and addresses the paucity of research on cloud computing adoption, as well as information systems (IS) and information communication technologies (ICTs) adoption in sub-Saharan Africa. The research addresses the current state of cloud computing adoption in addition to the issues that can encourage or preclude its use by SMEs in sub-Saharan Africa. Further, the research establishes the extent to which cloud computing adoption stimulates small and medium-sized enterprises (SMEs) in sub-Saharan Africa to contribute to development. A qualitative research methodology with an interpretive viewpoint is adopted for this research comprising of two major phases that involved a total of eighteen small and medium sized enterprises (SMEs) in Nigeria. A pilot exploratory study using grounded theory was conducted in the initial phase and the development and refinement of a conceptual framework for analysis and evaluation was carried out in the second phase. The framework is theoretically grounded in the integration of two distinct theoretical traditions, i.e. institutions theory and the capability approach. This is the first research study that employs such a combination to examine cloud computing adoption. This research examines the expectations of cloud users against their fears together with other related influences to draw conclusions regarding the future of cloud computing usage in sub-Saharan Africa. The research found that SMEs considered issues like security, privacy and trust as playing a role in enabling adoption of cloud computing. This is in contrast with SMEs in the global north where these specific issues are discouraging adoption. The research recommends to policy makers and stakeholders interested in developing the cloud infrastructure in sub-Saharan Africa, that there is the need to be cautious in drafting policies (which are non-existent at present). This is in order not to draft policies and regulations with regard to cloud computing usage that will inhibit adoption. Finally, this research presents an incremental model that is used to analyse how cloud service provision was introduced in sub-Saharan Africa. The novel three-stage maturity model identified the incremental approach to the delivery of cloud services in sub-Saharan Africa which started from (i) no local provision, (ii) cloud brokers promoting foreign cloud service provision and (iii) locally-available cloud service provision over a period of three to four years. This research envisages that, with further development of the cloud infrastructure especially in terms of internet connectivity, and improved awareness, more SMEs will adopt cloud computing as part of their IS/ICT strategy

Ethical Reflections of Human Brain Research and Smart Information Systems

open access journalThis case study explores ethical issues that relate to the use of Smart Infor-mation Systems (SIS) in human brain research. The case study is based on the Human Brain Project (HBP), which is a European Union funded project. The project uses SIS to build a research infrastructure aimed at the advancement of neuroscience, medicine and computing. The case study was conducted to assess how the HBP recognises and deal with ethical concerns relating to the use of SIS in human brain research. To under-stand some of the ethical implications of using SIS in human brain research, data was collected through a document review and three semi-structured interviews with partic-ipants from the HBP. Results from the case study indicate that the main ethical concerns with the use of SIS in human brain research include privacy and confidentiality, the security of personal data, discrimination that arises from bias and access to the SIS and their outcomes. Furthermore, there is an issue with the transparency of the processes that are involved in human brain research. In response to these issues, the HBP has put in place different mechanisms to ensure responsible research and innovation through a dedicated pro-gram. The paper provides lessons for the responsible implementation of SIS in research, including human brain research and extends some of the mechanisms that could be employed by researchers and developers of SIS for research in addressing such issues