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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.

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.

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 main objective of this study is to investigate the factors that influence the adoption intention of cloud computing services among individual users using the extended theory of planned behavior.

A purposive sampling technique was used to collect a total of 339 data points, which were analyzed using SmartPLS to derive variance-based structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

The results obtained from PLS-SEM indicate that attitude towards cloud computing, subjective norms, perceived behavioral control, perceived security, cost-effectiveness, and performance expectancy all have a positive and significant impact on the adoption intention of cloud computing services among individual users. On the other hand, the findings from fsQCA provide a clear interpretation and deeper insights into the adoption intention of individual users of cloud computing services by revealing the complex relationships between multiple combinations of antecedents. This helps to understand the reasons for individual users' adoption intention in emerging countries.

This study offers valuable insights to cloud service providers and cyber entrepreneurs on how to promote cloud computing services to individual users in developing countries. It helps these organizations understand their priorities for encouraging cloud computing adoption among individual users from emerging countries. Additionally, policymakers can also understand their role in creating a comfortable and flexible cloud computing access environment for individual users.

This study has contributed to the increasingly growing empirical literature on cloud computing adoption and demonstrates the effectiveness of the proposed theoretical framework in identifying the potential reasons for the slow growth of cloud computing services adoption in the developing world.

By introducing the mass customization service mode into the cloud logistics environment, this paper studies the joint optimization of service provider selection and customer order decoupling point (CODP) positioning based on the mass customization service mode to provide customers with more diversified and personalized service content with lower total logistics service cost.

This paper addresses the general process of service composition optimization based on the mass customization mode in a cloud logistics service environment and constructs a joint decision model for service provider selection and CODP positioning. In the model, the two objective functions of minimum service cost and most satisfactory delivery time are considered, and the Pareto optimal solution of the model is obtained via the NSGA-II algorithm. Then, a numerical case is used to verify the superiority of the service composition scheme based on the mass customization mode over the general scheme and to verify the significant impact of the scale effect coefficient on the optimal CODP location.

(1) Under the cloud logistics mode, the implementation of the logistics service mode based on mass customization can not only reduce the total cost of logistics services by means of the scale effect of massive orders on the cloud platform but also make more efficient use of a large number of logistics service providers gathered on the cloud platform to provide customers with more customized and diversified service content. (2) The scale effect coefficient directly affects the total cost of logistics services and significantly affects the location of the CODP. Therefore, before implementing the mass customization logistics service mode, the most reasonable clustering of orders on the cloud logistics platform is very important for the follow-up service combination.

The originality of this paper includes two aspects. One is to introduce the mass customization mode in the cloud logistics service environment for the first time and summarize the operation process of implementing the mass customization mode in the cloud logistics environment. Second, in order to solve the joint decision optimization model of provider selection and CODP positioning, this paper designs a method for solving a mixed-integer nonlinear programming model using a multi-layer coding genetic algorithm.

Although cloud storage services can bring users valuable convenience, they can be technically complex and intrinsically insecure. Therefore, this research explores the concerns of academic users regarding cloud security and technical issues and how such problems may influence their continuous use in daily life.

This qualitative study used a semi-structured interview approach comprising six main open-ended questions to explore the information security and technical issues for the continuous use of cloud storage services by 20 undergraduate students in Hong Kong.

The analysis revealed cloud storage service users' major security and technical concerns, particularly synchronization and backup issues, were the most significant technical barrier to the continuing personal use of cloud storage services.

Existing literature has focused on how cloud computing services could bring benefits and security and privacy-related risks to organizations rather than security and technical issues of personal use, especially in the Asian academic context.

The purpose of this paper is to define an evaluation model for cloud services to deal with the fuzzy information and propose a novel fuzzy evaluation method based on consistency intensity to analyze the quantitative value from the fuzzy information.

The cloud service evaluation framework is constructed, and different trusted indicators for the infrastructure services and the application services are designed, respectively. In the novel fuzzy evaluation method, the interval values can be aggregated by the Dempster-Shafer Theory and be transformed into the certain value by linguistic discount factor. The consistency intensity is proposed to determine the value of the linguistic discount factor, which can reflect the mainstream opinions in the assessment.

The proposed method can solve the problem on the analysis and synthesis of the fuzzy evaluation information. An instance of trust evaluation of cloud storage service is illustrated to verify that the proposed method can express the opinions of all evaluators more adequately.

A serial of experiments are carried out on NetLogo, and the results show that the proposed method is practical and efficient.

Instead of obtaining only the qualitative results by the multi-attribute decision-making method, the fuzzy evaluation method based on consistency intensity can obtain the quantitative results from the fuzzy information according to linguistic discount factor and consistency intensity.

The purpose of this paper is to contribute to a growing body of research on cloud computing, by studying the small to medium‐sized enterprise (SME) adoption process. If SMEs have access to scalable technologies they could potentially deliver products and services that in the past only large enterprises could deliver, flattening the competitive arena.

By adopting the Technological, Organisational and Environmental (TOE) framework as a theoretical base, this qualitative exploratory study used semi‐structured interviews to collect data in 15 different SMEs and service providers in the north east of England. The north east of England was selected as it is a region that aspires to become home to innovative digital firms and most of the companies in the region are SMEs.

The main factors that were identified as playing a significant role in SME adoption of cloud services were: relative advantage, uncertainty, geo‐restriction, compatibility, trialability, size, top management support, prior experience, innovativeness, industry, market scope, supplier efforts and external computing support. In contrast, this study did not find enough evidence that competitive pressure was a significant determinant of cloud computing adoption.

These findings have important implications and great value to the research community, managers and information and communication technologies (ICT) providers, in terms of formulating better strategies for cloud computing adoption. For service providers, using the research model in this study can assist in increasing their understanding of why some SMEs choose to adopt cloud computing services, while seemingly similar ones facing similar market conditions do not. Also, cloud computing providers may need to improve their interaction with SMEs which are involved in the cloud computing experience, in an effort to create a healthy environment for cloud computing adoption, and to remove any vagueness surrounding this type of technology.

This study is an attempt to explore and develop an SME cloud computing adoption model that was theoretically grounded in the TOE framework. By adopting the TOE framework this study has shown that the three contexts of this framework (technological, organisational, and environmental) are connected to each other.