Understanding the determinants of Cloud Computing adoption in Saudi healthcare organisations

Cloud Computing is an evolving information technology paradigm that impacts many sectors in many countries. Although Cloud Computing is an emerging technology there is little in the literature concerning its application in the Saudi healthcare sector. This paper examines and identifies the factors that will influence the adoption of Cloud Computing in Saudi healthcare organisations. The study integrates the TOE (Technology–Organization–Environment) framework with the Information System Strategic Triangle (IS Triangle) and the HOT-fit (Human–Organization–Technology) model to provide a holistic evaluation of the determinants of Cloud Computing adoption in healthcare organisations. Of the five perspectives examined in this study, the Business perspective was found to be the most important followed by the Technology, Organisational and Environmental perspectives and finally the Human perspective. The findings of the study showed that the five most important factors influencing the adoption of Cloud Computing in this context are soft financial analysis, relative advantage, hard financial analysis, attitude toward change and pressure from partners in the business ecosystem. This study identifies the critical factors for both practitioners and academics that influence Cloud Computing adoption decision-making in Saudi healthcare

Critical Factors of Adopting Enterprise Application Integration Technology: An Empirical Study on Larger Hospitals

As hospitals extend their service scope, they adopt more information systems. These systems are implemented in different timelines and the interfaces of databases become varied. Frequently, the exchange of information between various systems requires additional coordination or even manual input for unifying data. To embrace automation, the solution is to adopt enterprise application integration (EAI) technology, the middleware, to convert data from among various information systems to enable an efficient flow of data in the hospital. In this paper, we discuss and verify the impact factors on the integration levels of EAI by surveying larger hospitals above the regional level in Taiwan and testing a proposed research model. The findings of this study show that information technology infrastructure, hospital size, external pressure, internal pressure, and external support significantly affect the EAI level

Cloud Computing Adoption in Organizations: A Literature Review and a Unifying Model

Cloud computing is an attractive proposition to organizations because of its expected benefits. However, its perceived risks and challenges may discourage adoption. This trade-off between benefits and risks creates a dilemma on whether or how to approach cloud adoption. This study aims to advance the understanding of cloud computing adoption in organizations and proposes a unifying model of cloud adoption. A systematic literature review was employed to investigate the adoption factors studied in previous empirical settings. The review identified 41 primary studies and yielded a hierarchical cloud adoption model. The identified factors are in line with the technology-organization-environment framework and with the diffusion of innovation model, but new insights into the dimensions relevant to cloud adoption emerged from literature. For example, system availability and reliability, cost effectiveness, privacy and security, top management support, and market pressure are among the factors influencing adoption. Implications and future research are discussed

An Investigation of Cyberinfrastructure Adoption in University Libraries

This study aims to understand factors that affect university libraries’ adoption of cyberinfrastructure for big data sharing and reuse. A cyberinfrastructure adoption model which contains 10 factors has been developed based on the technology-organization-environment (TOE) framework and the literature regarding tradeoffs of applying cyberinfrastructure. This paper describes the proposed cyberinfrastructure adoption model and explains the survey in-struments. The next steps of the study are also presented

On Cloud Computing Service Considerations for the Small and Medium Enterprises

The concept of cloud computing services is appealing to the small and medium enterprises (SMEs), with the opportunity to acquire modern information technology resources as a utility and avoid costly capital investments in technology resources. However, the adoption of the cloud computing services presents significant challenges to the SMEs. The SMEs need to determine a path to adopting the cloud computing services that would ensure their sustainable presence in the cloud computing environment. Information about approaches to adopting the cloud computing services by the SMEs is fragmented. Through an interpretive design, we suggest that the SMEs need to have a strategic and incremental intent, understand their organizational structure, understand the external factors, consider the human resource capacity, and understand the value expectations from the cloud computing services to forge a successful path to adopting the cloud computing services. These factors would contribute to a model of cloud services for SMEs

Understanding the Determinants of Cloud Computing Adoption for High Performance Computing

Within the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizations’ cloud computing adoption decisions in this context

Cloud computing in government organizations: towards a new comprehensive model

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

Technical and Environmental Factors Affecting Cloud Computing Adoption in the South African Public Sector

Cloud computing can bring many benefits to organisations and countries. However there are technical and environmental factors that could hinder the adoption of these technologies in developing countries. The purpose of this paper is to explore the extent of these factors in the public sector in developing countries such as South Africa. A detailed literature review revealed several factors to cloud computing adoption and these were empirically validated using a survey approach. Fifty one respondents from forty public sector organisations in South Africa completed the survey. The findings revealed that the majority of the respondents showed concern regarding the availability and privacy of data. The environmental factors that were of the most importance to respondents were adoption strategies of cloud computing implementations as well as the provision of usage guidelines and regulatory requirements in organisations

A Systematic Literature Review on IT Outsourcing Decision and Future Research Directions

During the recent decades, some academic research on the subject of information technology outsourcing (ITO) decision has appeared in different outlets, which may impede the use of such resources and as a result, repetition of research by various researchers is very likely. The purpose of this paper is then to conduct a systematic literature review (SLR) pertaining to research on ITO decision. Then, this review intends to 1) classify ITO decision literature, 2) provide a list of factors affecting ITO decision, and 3) identify ITO strategies. To this end, 91 ITO articles published between 2000 and 2018 in 51 unique journals were reviewed. The results yielded three kinds of descriptive, relational, and comparative ITO decision studies. The determinants of ITO decisions are classified into technological, organizational, environmental and user adoption factors. Furthermore, the trend of studied ITO strategies in the reviewed literature is analyzed, and future sourcing varietals are proposed. Finally, some insights and future research directions are proposed based on the review results.During the recent decades, some academic research on the subject of information technology outsourcing (ITO) decision has appeared in different outlets, which may impede the use of such resources and as a result, repetition of research by various researchers is very likely. The purpose of this paper is then to conduct a systematic literature review (SLR) pertaining to research on ITO decision. Then, this review intends to 1) classify ITO decision literature, 2) provide a list of factors affecting ITO decision, and 3) identify ITO strategies. To this end, 91 ITO articles published between 2000 and 2018 in 51 unique journals were reviewed. The results yielded three kinds of descriptive, relational, and comparative ITO decision studies. The determinants of ITO decisions are classified into technological, organizational, environmental and user adoption factors. Furthermore, the trend of studied ITO strategies in the reviewed literature is analyzed, and future sourcing varietals are proposed. Finally, some insights and future research directions are proposed based on the review results

Cloud computing adoption during SARS-COV-2 pamdemic

Mestrado em Gestão de Sistemas de InformaçãoDue to the rapid global spread of the pandemic caused by the new coronavirus, companies and institutions were forced to take precautionary measures to reduce the risk of contagion, such as asking employees to work remotely from their homes. In this scenario, cloud computing technology has proven to be a great ally of companies to overcome the crisis caused by the pandemic.The adoption of Cloud Computing technology has accelerated in recent years and, according to a forecast made by the International Data Corporation (IDC), investment in cloud services will exceed US $1.0 trillion in 2024, which represents a rate of annual growth of 15.7$ 1,0 milhão de bilhões em 2024, o que representa uma taxa de crescimento anual de 15,7% (Villars et al., 2020).Na tentativa de auxiliar as organizações no planeamento das suas estratégias de adoção da computação em nuvem, o presente estudo pretende contribuir com a literatura existente sobre o assunto, e tem como objetivo de identificar os principais fatores que influenciam a adoção dessa tecnologia durante a crise pandêmicas de Covid-19.Nesse sentido, 18 fatores identificados durante a revisão da literatura foram apresentados a 11 especialistas na área de tecnologia de computação em nuvem, a fim de encontrar um consenso quanto à ordem de importância desses fatores.Através do método Delphi, dividido em duas fases e com duas rondas, foi obtida uma lista ordenada de acordo com o grau de importância dos principais fatores que influenciam a adoção da computação em nuvem. Após a análise dos dados, os resultados obtidos mostram que os seis fatores mais importantes são: (1) Custo de Adoção, Migração e Aquisição; (2) Disponibilidade e acessibilidade; (3) Escalabilidade; (4) Custo de perda de confidencialidade e disponibilidade de dados; (5) Segurança e (6) Personalização.info:eu-repo/semantics/publishedVersio