A Conceptual Framework for the Adoption of Cloud Computing in a Higher Education Institutions

Researches in technology adoption among the Middle Eastern countries are more concentrated on e-government, e-commerce, and internet banking domains. Higher education institutions (HEIs) in these countries fall behind their Western counterparts due to the cutting edge technology adopted for research, teaching, and collaboration in the Western countries. One of the Middle Eastern countries, which is the focus of this research, Yemen, still adopt the conventional way of teaching in the HEIs, which could result in failures to accomplish the optimal desired educational performance. Higher education sector in Yemen faces a number of obstacles and challenges in delivering a good education to its entire population in terms of lack of reliable infrastructure; limited financial resources; lack of teaching staff and expertise; and lack of IT personnel to manage the existing restricted IT infrastructure. Cloud computing, a pool of computer-related resources and services, is seen as one of new technologies which can assist in improving educational delivery in Yemen. Thus, this study firstly, identified the factors that influence the cloud computing adoption in general. Then, it categorized these factors into four (4) domains, namely technological, organizational, environmental and individual domains; and lastly, validated the selected factors using semi-structured interview with IT experts. Based on the validation session with the IT experts, the factors were ranked based on their applicability and suitability in Yemeni’s higher education environments and 13 factors were selected. These 13 factors are adopted from Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA), Technology-Organization-Environment (TOE) framework and Diffusion of Innovation (DOI) theory. Then, a conceptual framework was developed using these 13 factors to identify the significant factors that influence cloud computing adoption in HEIs in Yemen. It is hoped by having a better understanding on the factors that influence cloud computing adoption in HEIs in Yemen, the responsible parties such as the government agencies, HEIs managements and staff will be more prepared to ensure successful adoption of cloud computing in their HEIs and ultimately help Yemen to improve its higher education delivery to its people.

Research on Cloud Computing (CC) adoption seems to be one of the less explored and examined topics in the Information Systems (IS) domains, particularly for Small and Medium-sized Enterprises (SMEs). Prior research on CC adoption does not appreciate the benefits of using Innovation Translation Approach. Instead, Essentialist Approach, a simplistic view of CC adoption which is based only on the technological characteristics of the innovation is prevalent. Thus, this study integrates the Technology-Organization-Environment framework as an IS adoption theory while Actor Network Theory as an Innovation Translation Approach in proposing the SMEs-CC adoption framework.

Cloud computing (CC) represents a third-generation computing platform that offers numerous benefits, including faster data transactions, cost advantages, elasticity, flexibility, and pay-per-use models, among others. However, CC adoption in developing nations, such as Somalia, is impeded by various challenges. This study aims to investigate the factors influencing CC adoption in small to medium-sized enterprises (SMEs) in Somalia. Data was collected from 195 ICT officials and experts in the SME domain in Mogadishu, Somalia, and analyzed using structural equation modeling (SEM). The results revealed that cost savings, firm size, top management support, and regulatory support significantly influence CC adoption in SMEs. Conversely, security concerns and competitive pressure showed no significant relationship with CC adoption. This study contributes to the literature by examining the technology, organization, and environment (TOE) framework in the context of CC adoption and provides valuable insights to inform policymaking and promote CC adoption in developing nations. Nonetheless, the study's limitation lies in its narrow focus on Somalia, and the generalizability of the results to other developing nations may be limited.

Cloud computing has become an emerging IT platform for productive services and efficient use of innovation in higher education. The purpose of this research study is to investigate the factors that influence the adoption of cloud computing in Sub-Saharan Africa under Ethiopian higher education. These factors professed to influence the adoption of cloud computing built on the integrated framework of technology-organization-environment (TOE) framework, diffusion of innovation (DoI) theory, and sociocultural theory. In-depth interviews have been taken with the University of Gondar key professionals in Ethiopia to accomplish this research study. The results show that the organisational factors are more influential factors than the technological, environmental, and sociocultural factors to the adoption of cloud computing (CC) in the Ethiopian higher education (EHE) sector. This qualitative study aids researchers and practitioners in the field of IT technology cloud to employ these key factors suggestive to cloud computing adoption in the higher educational institutions.

Scholarly research works on the adoption of Cloud Computing (CC) have recently emerged with the technology’s importance for organizations at a fast pace. Despite the numerous advantages of CC adoption for financial institutions (FI) in terms of storage cost mitigation, computation higher increase, and information access higher access rates from any place, Banking’s CC adoption executives and practitioners are badly seeking to obtain trustworthy recipes of how to utilize CC adoption frameworks to transform banks operations to cloud. In this vein and based on a systematic literature review (SLR) method, we conducted a review of 370 empirical studies from 2011 to 2021, downsized the studies to 27 directly relevant papers to reveal 14 frameworks, methods, models, or strategies of CC adoption in Banking sectors in 14 countries, and compared the findings across studies in terms of the utilized frameworks, methods, models, or strategies.

Scholarly research works on the adoption of Cloud Computing (CC) have recently emerged with the technology’s importance for organizations at a fast pace. Despite the numerous advantages of CC adoption for financial institutions (FI) in terms of storage cost mitigation, computation higher increase, and information access higher access rates from any place, Banking’s CC adoption executives and practitioners are badly seeking to obtain trustworthy recipes of how to utilize CC adoption frameworks to transform banks operations to cloud. In this vein and based on a systematic literature review (SLR) method, we conducted a review of 370 empirical studies from 2011 to 2021, downsized the studies to 27 directly relevant papers to reveal 14 frameworks, methods, models, or strategies of CC adoption in Banking sectors in 14 countries, and compared the findings across studies in terms of the utilized frameworks, methods, models, or strategies.

Cloud computing is a new information technology paradigm, one which has been adopted in many different sectors. Many developing countries are working on improving e-government to provide services to their citizens that are integrated and effective. Therefore, the Saudi government has made improving e-government a high priority. The aim of this study is to explore significant factors affecting the adoption of cloud computing in e-government services in Saudi Arabia as a case study. After identifying these factors, we propose a new comprehensive model for the Adoption of Cloud Computing in Saudi G-GOVernment (ACCE-GOV) that has been adopted from the Technology Organisation Environment (TOE) framework and the Diffusion of Innovations (DOI) theory. This research model examines factors of technological context (compatibility, complexity, service quality, security, and relative advantages), organisational context (top management support, organisation size, and technology readiness), environmental context (regulations and competitive pressures), and social context (awareness, trust, and attitude) in regard to the adoption of cloud computing. Ultimately, this study enhances the decision-making of the Saudi government through understanding and highlighting the most important factors that influence the adoption of cloud computing in an e-government context. This is a position paper, reporting on the work in progress. The findings of this study will be useful for the researchers who considers suitability of different methodological approaches for cloud computing adoption and evaluation.

This paper presents the results of research investigating the impact of business model factors on cloud computing adoption. The introduced...

Cloud Computing (CC) is a paradigm shift with the potential of transforming the information and communication technology (ICT) industry. ICT is an integral part of all businesses, and CC helps in lightening the burden of massive ICT investments. Thus, it is essential to understand the factors that influence CC adoption. The purpose of this study is to identify and rank critical factors for CC adoption in the Indian context. The research has adopted mixed methodology (qualitative and quantitative). Experts from 13 organizations (including 8 cloud service providers (CSPs) and 5 cloud service users (CSUs)) are interviewed. Content analysis is used to confirm existing factors and identify new factors in the Indian context. Qualitative analysis has identified four new factors, namely, ‘time to market’, ‘futuristic’, ‘resistance to change’ and ‘financial losses’ (arising from security and resource availability). The quantitative part of the research used analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) techniques to rank the factors. The analysis revealed ‘IT service cost’ and ‘time to market’ as the most critical factor through FAHP and AHP respectively. However, ‘organization size’ is reported the least critical for CC adoption through both the methods. The results also highlight divergence among the criticality of CC adoption factors using the two techniques. The study is very useful for CSPs and key decision-makers to understand the critical adoption factors and judiciously strategize for CC service promotions. It will also help users to wisely decide while making CC adoption decision.

To adopt or not to adopt? The determinants of cloud computing adoption in information technology sector

Due to its increased reliability, adaptability, scalability, availability, and processing capacity, cloud computing is rapidly becoming a popular trend around the world. One of the major issues with cloud computing is making informed decision about adoption of community cloud (CC) computing (ACCC). To date, there are various technology acceptance theories and models to validate perspective of ACCC at both organizational and individual levels. However, no experimental studies have been carried out to provide a comprehensive assessment of the factors of ACCC, specifically in the area of the Saudi Higher Education (HEI) Institution. Thus, this research was aimed at exploring the factors of ACCC and the relationship to the experiences of the employees. The analysis of the employee context was driven by the success factors of technological, organizational, environmental, human, security, and advantage contexts on community cloud computing adoption in HEI. The data collection was a questionnaire-based survey based on 106 responses. We present findings based on descriptive analysis in identifying the significant component that contributed to the effective implementation of ACCC. Security concerns are a significant influencing element in the adoption of community cloud technology.

The sustainability aspect must be implemented during all the phases of the decision-making phase regarding construction project execution to obtain the full advantages, shorn of conceding the project objective. Cloud computing (CC) has been an appreciated tool for successful and viable building processes in various nations over the past twenty years. CC and its drivers have certainly enhanced the successful and sustainable targets of quality, cost, and time. Conversely, CC adoption by the building industry in Egypt. Hence, the aim of this study is to build a decision support model to back drivers of CC adoption by analyzing the relationship concerning drivers of CC in building business in Egypt. The data was derived from various sources of the literature. A questionnaire survey for quantitative data generation followed this. The data was derived from 106 building practitioners in Egypt. Consequently, the study employed exploratory factor analysis (EFA) to authenticate the findings derived from the survey tool. The results categorized the drivers into three groups: Technology Drivers, Client Support Drivers, and Organization Drivers. Structural equation modeling using partial least squares (PLS-SEM) was then applied to test the relationships and rank their influence. Findings indicate that Technology is the most significant driver of CC adoption (β = 0.378, p < 0.001), followed closely by Client Support (β = 0.372, p < 0.001) and Organization (β = 0.360, p < 0.001). These findings can be used as a baseline or criteria for decision-making concerning improvements in the cost-effectiveness of CC and its proficiency to increase efficacy in the building sector. Therefore, this study adds to the understanding of contemporary construction management and engineering by extending the existing literature on CC adoption derivers and their effects on the building industry.

A cloud computing adoption in Indian SMEs: Scale development and validation approach

Cloud computing is a phenomenon that is currently a lot of attention from practitioners of information technology. Cloud computing can be composed of several types of services that are known to Saas, PaaS and IaaS, public and private cloud computing. Companies that do not invest themselves in the information technology infrastructure to use cloud computing services as a solution. By adopting and implementing a cloud computing services company can shift the cost of information technology infrastructure investments become operational costs by purchasing cloud computing services. Nevertheless, cloud computing, especially for the type of private cloud is still a bit of adopting it, whether it is caused by the absence of reference to the implementation or caused by something else. The purpose of this study was to analyze the adoption of cloud computing that suitable and beneficial for the company in its operational activities. The study was conducted by analysis of some of the literature related to cloud computing, benefits and barriers. According to the analysis of the literature can be explained some of the benefits associated with the adoption of cloud computing. Based on several studies that have been done, the benefits of implementing cloud computing is primarily financial savings and benefits of resource management that is the flexibility and scalability of the company's operations. However, some considerations still need to be done for a company that will implement cloud computing and those things are data security issues, legal issues and the implications for the company.

Conceptualizing a model for adoption of cloud computing in education