Cloud Computing Adoption by firms

In recent years Cloud Computing has been one of the most discussed references in the world of information technology. As the adoption of Cloud Computing has become so important for firms, a question arises: what is the factor determining the adoption of technology? Thus, the aim of this study is to identify a set of determinants of adoption of Cloud Computing by firms. To reach this goal we suggested a research model based on two theories held in the literature: the diffusion of innovation (DOI) model and the technology organization environment (TOE) framework. To support the suggested model a quiz is even proposed to test the suggested hypotheses. The implications of the results of this study are discussed, both for researchers and for managers. We present the plan to the empirical testing and model validation of the hypotheses suggested. Future extensions to this study are also considered in this paper

Cloud computing as business perspectives for product lifecycle management systems

In a dynamic economic environment, the company’s survival may depend on the ability to focus on core business and quick adaptation. Yesterday’s profitable business model can’t be counted on to translate into future growth and profits. As the business adapts to changing government and industry regulations, evaluates new business partnerships and anticipates competitive threats, IT needs to help the business find new ways to respond of such of fastchanges. At the same time, plans for change must often be made in the context of limited resources for finances, people, technology, and power

Analysis of the Total Cost of Ownership for Cloud Computing Technology Adoption: A Case Study of Regional Municipal Government Sector

Having clear person-centred information guidelines relevant to a person’s unique situation are essential components to continued care following a hospital stay. Rising pressure on health services to discharge patients earlier is placing patients at risk. Patients’ ability to absorb information whilst in hospital can be significantly impaired under pressure and patients often return home with inadequate information to support recovery. To date the problem of patients returning to hospital following discharge has not been looked at from the perspective of person–centred information provision and the extent to which better quality, timing and delivery of information (what and when provided) could reduce the rate of return. This case study uses a series of longitudinal interviews and Roy’s Adaption Model, to examine the question: What are patients’ unique person-centred information needs at three critical time points pre- and post -discharge and how can individually focused information systems better satisfy these needs

The Adoption Of Next Generation Computing Architectures: A Meta Learning On The Adoption Of Fog, Mobile Edge, Serverless, And SoftwareDefined Computing

There have been several shifts in the cloud computing during the last decade. The next generation of cloud computing builds on the strengths of the current model while expanding its applicability. There will be far-reaching effects from the evolving cloud infrastructure and new computing architecture. They will be critical in facilitating the Internet-of-Things paradigm by enhancing connection between humans and IoT devices. The first purpose of this research is to review and discuss the next generation computing architectures, such as, Fog, Mobile Edge, Serverless, And Software-Defined Computing. Organizations have turned to cloud adoption as a way to increase the scalability of their Internet-based database capabilities with little outlay of resources. Cloud adoption is a deliberate decision made by businesses to reduce costs, mitigate risk, and achieve expansion of data base abilities. Depending on the amount of adoption, an organization may have varying degrees of cloud adoption. The second purpose of this is to investigate the adoption strategies of next generation cloud computing. We applied two meta learning algorithms, namely, Ensemble Voting voting and Stacking classifiers. Our results shows that most organizations with low levels of IT competence and high levels of perceived challenges are not planning to use the next generation cloud computing in the near future. Most organizations with a modest view of risk and IT competence are undecided about whether or not to adopt. Even organizations that have access to cutting-edge technology and a low level of concern about the potential challenges have mixed feelings about next generation cloud computing. Results from both classifier algorithms are almost comparable, validating the empirical findings

CLOUD COMPUTING ADOPTION DETERMINANTS: AN ANALYSIS OF AUSTRALIAN SMES

In Australia, there is an emerging tendency among SMEs towards the adoption of cloud computing. However, there are limited studies investigating the factors that influence cloud computing adoption within Australian SMEs. To fill the research vacuum, we developed a research model based on the diffusion of innovation theory (DOI), the technology-organisation-environment (TOE) framework, and our prior exploratory study to investigate the determinants that influence the adoption of cloud computing. An organizational-level survey was conducted across Australia to collect data from technology decision makers in SMEs. Data collected from 203 firms are used to test the related hypotheses. This study contributes a statistically validated model of the influential determinants of cloud computing adoption. Data analysis indicates that Technological Factors (cost savings, relative advantages, compatibility, and trialability), Organizational Factors (firm size, top management support, innovativeness of the firm, and IS knowledge), and Environmental Factors (market scope and external computing support) were found to be determinants of the adoption of cloud computing services. Benefits of the findings are twofold. First, they provide knowledge about cloud computing determinants in the Australian marketplace. Second, they provide policy planners and SMEs’ decision makers with insights and directions for successful adoption of cloud computing technology

An e-Delphi Study on Software Virtualization in the Medical Diagnosis Process: The Experts' Perspective

The purpose of this qualitative e-Delphi study was to collect opinions and experiences from a group of expert panel members made up of physicians and virtualization experts. This e-Delphi research study provided information about the opinions and experiences from experts about the possible benefits for virtualization in medical facilities. The expert panel was comprised of 12 virtualization experts and physicians. Virtualization is a concept of technology where one physical hardware device, called a server, is configured with software that allows for multiple software servers to be installed or implemented. Virtualization may offer benefits to healthcare organizations including the ability to deliver patient data to physicians more quickly. Virtualization has demonstrated substantial benefits in many areas of information technology infrastructure in the medical informatics field. The expert panel members were chosen at random through existing professional relationships and previous employment. The expert panel members were provided three rounds of survey questions and were asked to complete all surveys in its entirety. The findings show that hospitals and medical facilities will benefit from virtualization and provide increased patient care by delivering faster data to the patient and physician. As leaders in hospitals and medical facilities continue to be well-informed, leaders will be better equipped to make more-informed decisions about virtualization and the positive relationship software virtualization has on patient care

Cloud Computing: A Survey on its limitations and Potential Solutions

Abstract Cloud computing has brought a new paradigm shift in technology industry and becoming increasingly popular day by day. The small to medium enterprises (SMEs) are now adopting cloud computing in much more higher rate than large enterprises. That raises a debate whether this cloud computing technology will penetrate throughout the IT industry or not. The SMEs are adopting cloud computing for the low cost implementation of total IT infrastructure and software system whereas the large enterprises are relying on their own infrastructure for data security, privacy and flexibility to access their own infrastructure. In this paper, we provide a survey about possible limitations of cloud computing that is delaying its penetration. We also identify the ongoing potential solutions that will help the enterprises to adopt cloud computing for their IT infrastructure and software systems

Cloud computing adoption in regional councils

Cloud computing is becoming increasingly important in information technology as an enabler for improved productivity, efficiency and cost reduction; and is expected to offer benefits for public sector organisations. Cloud computing has the potential to improve the reliability and scalability of information technology systems, which allows organisations such as regional municipal governments to focus more on their core business and strategy. Research about the use of cloud computing in the public sector in general is limited. There is a lack of exploratory studies that provide an in-depth and holistic investigation of the factors perceived to influence the adoption of cloud computing. There are no empirical studies about the factors that are perceived to influence the adoption of cloud computing in reference to Australia. This research aimed at exploring perceptions of the potential for value creation from cloud computing in regional councils, to identify factors that are likely to influence adoption of cloud computing including factors that need to be considered when planning to adopt cloud, anticipated benefits of cloud adoption, and challenges and issues that faced cloud adoption. This research aimed to improve understandings related to the factors that influence cloud computing adoption decision making in regional municipal governments. The research employed a mixed method approach (qualitative and quantitative). In-depth interviews of Australian councils’ IT managers were conducted with the aim of providing insights into the factors that are perceived likely to influence adoption of cloud computing including factors that need to be considered when planning to adopt cloud, anticipated benefits of cloud adoption, and challenges and issues that faced cloud adoption. Survey data from 480 IT staff across 47 local government councils were collected to confirm the findings of the exploratory stage. The factors that were examined included: compatibility, complexity, cost, security concern, top management support, organisation size, government regulation, and information intensity. The findings of this research are expected to assist in making investment decisions on cloud computing adoption

A Descriptive Literature Review and Classification of Cloud Computing Research

We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions