Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review

Abstract

Cloud computing has become a major talking point in recent times. An innovation such as cloud computing for higher education institutions (HEI) can be a cost effective means to operate their IT systems effectively without having to spend vast amounts of money on developing their IT infrastructure. HEIs also face the burden of several challenges e.g. limited infrastructure resources and IT budget, as well as limited teaching staff, technical experts, and IT skilled personnel. With support from a systematic literature review approach, this article identifies the key determinants of cloud adoption from a technological, organisational, environmental and personal perspectives. A total of 17 cloud adoption studies in the HEI context and their respected models from the period of 2012 to 2017 are reviewed and discussed. The findings suggest a lack of cloud adoption studies in the HEI domain from multiple perspectives, particularly in relation to the wider socio-technical concerns related to cloud adoption and future studies related to this research gap are deliberated.

Exploring the empirical studies of cloud computing adoption in anglophone West African countries’ academic libraries: a review

“…It has been witnessed in recent times that organizations have begun moving from on-premises ICT facilities to cloud computing platforms to harness the opportunities which include cost-reduction, flexibility, scalability, and agility of services [34]. Higher institutions of learning have started utilizing cloud computing to support effective learning activities [34]. Generally, there is no consensus on the exact definition of cloud computing as it means differently to different stakeholders and depending on the usage by the users [35].…”

Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

“…In terms of the theoretical framework, Tornatzky et al [19] proposed the technology-organizationenvironment (TOE) model. TOE provides a clear analytical framework, which can be used as an influencing factor to verify the factors influencing the use of innovative/information technologies in organizations, such as the adoption factors of cloud computing [1,5] and the determinants of cloud computing adoption in higher education [20]. Therefore, this study uses TOE as a theoretical basis to develop a three-layer hierarchical factor table (a dimensional layer, a criterion layer, and a factor layer) that influences manufacturing by introducing cloud computing services based on the literature review.…”

Risk Assessment Framework of mHealth System Vulnerabilities: A Multilayer Analysis of the Patient Hub

“…One such wireless technology that utilises these three layers is known as the "patient hub". The patient hub is an integrated care platform that relies on wearable sensors [9] and smart cloud computing technology [10] [11] [12] [13] to support patients with Chronic Obstructive Pulmonary Disease (COPD) and co-morbidities, with specific emphasis on Chronic Heart Failure, Diabetes, Anxiety and Depression. However, the manipulation of the patient hub applications and disclosure of sensitive data through potential network attacks could be fatal for patients relying on these technologies.…”