Search results

In order to solve the problem of inaccurate calculation of index weights, subjectivity and uncertainty of index assessment in the risk assessment process, this study aims to propose a scientific and reasonable centralized traffic control (CTC) system risk assessment method.

First, system-theoretic process analysis (STPA) is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis. Then, to enhance the accuracy of weight calculation, the fuzzy analytical hierarchy process (FAHP), fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and entropy weight method are employed to calculate the subjective weight, relative weight and objective weight of each index. These three types of weights are combined using game theory to obtain the combined weight for each index. To reduce subjectivity and uncertainty in the assessment process, the backward cloud generator method is utilized to obtain the numerical character (NC) of the cloud model for each index. The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system. This cloud model is used to obtain the CTC system's comprehensive risk assessment. The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud. Finally, this process yields the risk assessment results for the CTC system.

The cloud model can handle the subjectivity and fuzziness in the risk assessment process well. The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.

This study provides a cloud model-based method for risk assessment of CTC systems, which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment, achieving effective risk assessment of CTC systems. It can provide a reference and theoretical basis for risk management of the CTC system.

The purpose of this article is to identify the role of cloud computing services in business continuity and disaster recovery plans and delineate responsibilities for their execution. In recent times, there has been a huge upsurge in the usage of cloud service models such as infrastructure-as-a-service, platform-as-a-service, software-as-a-service and disaster recovery-as-a-service. However, in case of an emergency event or during contract negotiations, a question might arise as to who should be accountable and responsible for the content and execution of recovery plans. The main stakeholders in this scenario are cloud service providers and cloud consumers.

After a review of academic articles, standards, guidelines and vendor documentation, a proposal for assigning accountability and responsibility for business continuity and disaster recovery plans is presented, based on the RACI (responsible, accountable, consulted and informed) matrix. In this regard, a critical information infrastructure protection plan, a disaster recovery plan, an information systems contingency plan and a business continuity plan have been elaborated on in the article.

RACI matrices are presented for three general cloud service models and for three DRaaS models (managed, assisted and self-service). Accountability and responsibilities depend on the deployed cloud service model and the roles of cloud service providers and cloud consumers.

The proposed model for accountability and responsibility assignment provides a guideline for the allocation of responsibilities to roles not only during recovery but also during contract negotiations between cloud service providers and cloud consumers. By delving into business continuity and disaster recovery processes and activities, similar yet nuanced RACI matrices should be developed, as presented in this paper. They need to be customised for the specific context.

Although cloud computing is widely recognized as a technology game changer because it offers anytime, anywhere services, its potential for driving business innovation remains virtually untapped. This article seeks to define that potential for generating new business models and disrupting industries.

The authors show how cloud technology has the power to fundamentally shift competitive landscapes by providing a new platform for creating and delivering business value.

IBM research suggests that organizations are just beginning to understand the power of cloud services to help drive business innovation.

To track how organizations use cloud tech today and how they plan to employ its power in the future, IBM surveyed 572 business and technology executives across.

The survey found that companies worldwide are beginning to recognize cloud's capabilities to generate new business models and promote sustainable competitive advantage.

By assisting in developing new operating capabilities, cloud technology can help a company change its role within its industry or enter a different industry.

The purpose of this paper is to explore the role that cloud adoption plays in the strategies of large firms. As an innovative and transforming technology, cloud computing can have a significant impact on firms. It may propel them to adapt their existing strategies to survive in today’s unstable, rapidly expanding, digital environment.

The relationship between cloud computing and company strategy was explored through a qualitative research study. The author conducted 35 semi-structured interviews with business and IT stakeholders working in large French organizations.

Analysis of the results demonstrates that large cloud-adopting firms are driven by three main needs: a need to maintain their place in a highly competitive market, a need to implement innovative solutions and a need to lower costs.

The limitations of this research include a number of contingency factors, such as the location of these firms (France) and their size (large). However, the academic literature does not address how adopting cloud services will affect the strategies used by large firms. Given the complex structures of these firms, it seems inevitable that they will adapt their strategies. This is highlighted by this study, which sheds light on the importance of the relationship between cloud adoption and company strategies.

This exploratory research study stresses the importance of companies adapting their strategies and enables business professionals to focus on redirecting their strategies when adopting cloud services. In addition, this study provides examples of the behavior of large firms in the French market.

Companies need to develop effective business strategies to survive, especially in today’s modern world. This paper shows that cloud adoption is leading firms to alter their strategies, and has led to the emphasis of three types of strategy: competition, innovation and cost reduction.

In recent years, a large number of organizations have found that cloud computing has many advantages leading to a surge in its adoption.

Cloud computing involves the usage of large servers for the access of data, its storage and manipulation as well as provisioning of other services.

When infrastructure, applications, data and storage are hosted by cloud providers, there are huge security risks associated with each type of service offered.

There are a number of considerations, apart from cost which must be evaluated before choosing any particular provider. Sometimes, the physical location of the servers may also be a factor to consider, if sensitive duty is involved.

The present paper is an attempt to describe in detail the concept of Cloud computing in conjunction with libraries. It describes in detail about Cloud libraries, transition of libraries toward Cloud, its need, features, Cloud library components, types of Cloud libraries, Cloud library infrastructure, key players as well as role of Cloud librarians.

Based on an extensive literature survey, the basic conceptions of Cloud libraries were developed.

Various concepts of Cloud libraries have been proposed in the literature that will be instrumental in understanding the theoretical foundations of Cloud libraries.

Till date no any theoretical foundation exists on the concept of Cloud libraries. The paper is one of the first attempts to give shape to the libraries based on Cloud computing platform.

This paper aims to examine the types of cloud computing, models, characteristics, descriptions, applications, considerations for use and benefits of the following technologies to library users. Cloud computing has taken libraries in Kenya by storm. Because of this, many libraries do not know what to do. They are at cross-roads. They lack policies to govern them. However, the recent realization by information professionals that cloud computing has a critical role to play in the provision of information services has created a desire to effectively harness and manage them for scholarly communication.

The research reviewed previous studies on the topic by examining both electronic and print information resources available in the libraries and internet.

The findings revealed that libraries in Kenya are yet to fully embrace cloud computing in their operations. There are mixed feelings by librarians on the degree at which they should integrate these technologies in their service provisions. However, there is a positive progress toward this noble venture.

Kenya as a developing nation has limited local content on the subject. The study established that some of the available literature is restricted by intellectual property rights. This forced the researcher to rely heavily on foreign literature for the study.

Appreciation of emerging cloud computing technologies by libraries is inevitable for the sustainability and management of modern libraries. Cloud computing makes libraries more competitive by adequately meeting user’s technological needs. This study will also act as a benchmark for the Government of Kenya to improve the current information communication technology (ICT) national policy.

Apart from revolutionalizing library operations and delivery of services, cloud computing will tremendously revolutionize the social-cultural and communication landscape of the society.

The paper provides vital information and insights into how libraries are embracing cloud computing in the provision and dissemination of varied information services to library users.

The purpose of this paper is to evaluate, through arguments, the enabling factors that are expected to facilitate the adoption of Cloud Computing.

The approach is based on the study of the recent developments in ICT and the authors' views and arguments as to how such advancements are expected to lead to an increased adoption of Cloud Computing.

Several ICT areas have to be developed in conjunction for the promise of Cloud Computing to be realised. These include (but are not limited to) the development of parallel programming paradigms and open source software, Cloud access to high performance computing, Green IT, investment in low‐cost access‐cum‐computing devices and hi‐speed networks.

The paper identifies the current advances in ICT and its expected influence on the adoption of Cloud computing. Furthermore, it lays emphasis on the developing economies and discusses the low‐cost technologies and infrastructure investments (including government subsidies) required to provide Cloud‐access to the masses.

This paper aims to assist those involved with personnel training and training management in the implementation of cloud learning in their organization.

The paper focuses on practical examples and provides a discussion on the importance of cloud learning as part of the application of new technology in an organizational context.

Managers need to consider a number of factors when implementing cloud learning including: technology adoption, organizational control and participation of skill development.

Managers can assist the development of cloud learning activities by focusing on the training of employees who may require additional time spent on technology adoption and job‐related information.

This paper provides practical insight into the implementation of cloud learning in an organization and includes insight into how technological innovation is used to support employee training.