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The purpose of this paper is to explain the role of trust in cloud computing services based on empirical evidence from interviewing executives of financial institutions in Ghana. The paper answers the questions: what is the role of trust in cloud computing service acquisition, and what policies promote trusted cloud computing services?

This is an explanatory paper that is based on literature review and empirical data on exploring reasons for cloud computing service acquisitions. A combination of interviews and focus group discussions was used as methods for data collection. Information technology and electronic banking executives of five major commercial banks in Accra, Ghana, between January and July 2013 were interviewed. A total of ten respondents were interviewed, two in each of the selected banks. A purposive sampling technique was used in the selection of informants. This approach allows the selection of qualified informants to ensure extensiveness and diversity of opinion.

Although previous literature proffers various factors as key to cloud computing adoption, uses or provisioning, this study brings trust to the fore as an imperative for cloud computing service acquisition by financial institutions. It also shows that trust increases if users perceive that cloud computing service providers act in honesty and in users’ interest, making trust a fundamental factor that informs financial institutions’ decision to acquire cloud computing services.

The research introduces a new dimension about the widely held perceptions of the factors that influence adoption of cloud computing services.

Developers of cloud computing solutions that are targeted at corporate users must focus on systems that enhances their trustworthiness, as it is a primary criteria for user buy-in. Similarly, any trust-building effort by cloud computing service providers minimizes users’ concerns and pushes the services providers closer to the trust threshold.

The paper outlines the trust factors that are imperative for cloud computing uses by financial institutions. This is one of the pioneering papers that address trust issues in cloud computing from the perspective of financial institutions.

In recent times, high demand for cloud-based services has led to substantial focus in extant literature from technological and business perspectives. However, the prevailing market imperfections have not drawn much interest. This study aims to emphasize on potential sources of market imperfections from new institutional economics (NIE) perspective and attempts to bring forth the importance of public policy in cloud computing ecosystem.

This study takes a review-based deductive approach to present a set of propositions which highlight potential causes leading to suboptimal performance of cloud-based services.

Lack of clarity around ownership and property rights, high asset specificity, existence of information asymmetry and bounded rationality of the provider and consumer, lead to higher transaction cost for providers and consumers, discouraging participation. This would lead to moral hazard and adverse selection and create market imperfections. Appropriate contractual guidelines, standards, legal framework and policy measures will reduce the risk of such imperfections.

As the focus of the study is to forward the propositions and not to empirically test them, future researchers can adopt data-driven studies to validate those propositions.

To ensure equity in the cloud-market, government and industry bodies should work towards enabling both the small and large players to use cloud-based services efficiently and effectively. Appropriate public policy measures can help remove potential market imperfections, encourage better participation and adoption of cloud-based services.

This study identifies potential market imperfections in cloud computing ecosystem through the lens of the theoretical frameworks of NIE.

Although cloud computing has been heralded as driving the innovation agenda, there is growing evidence that cloud computing is actually a “slow train coming”. The purpose of this paper is to seek to understand the factors that drive and inhibit the adoption of cloud computing, particularly in relation to its use for innovative practices.

The paper draws on a composite research base including two detailed surveys and interviews with 56 participants in the cloud supply chain undertaken between 2010 and 2013. The insights from this data are presented in relation to set of antecedents to innovation and a cloud sourcing model of collaborative innovation.

The paper finds that while some features of cloud computing will hasten the adoption of cloud, and its use for innovative purposes by the enterprise, there are also clear challenges that need to be addressed before cloud can be adopted successfully. Interestingly, the analysis highlights that many of these challenges arise from the technological nature of cloud computing itself.

The research highlights a series of factors that need to be better understood for the maximum benefit from cloud computing to be achieved. Further research is needed to assess the best responses to these challenges.

The research suggests that enterprises need to undertake a number of steps for the full benefits of cloud computing to be achieved. It suggests that collaborative innovation is not necessarily an immediate consequence of adopting cloud computing.

The paper draws on an extensive research base to provide empirically informed analysis of the complexities of adopting cloud computing for innovation.

The main aim of this paper is to investigate the potential of Cloud Computing as a multilayer integrative collaboration space for knowledge acquisition, nurturing and sharing. The paper will pinpoint benefits and challenges of Cloud Computing in satisfying the new techno-sociological requirements of the knowledge society through the provision of information technology (IT) green services. Furthermore, the article calls for the engagement of researchers to generate additional discussion and dialog in this emerging and challenging area.

The paper applies a conceptual analysis to explore the utilization of the Cloud ecosystem as a new platform for knowledge management (KM) technologies characterized by environmental and economic benefits.

This paper reveals the emergence of a new layer in the Cloud stack known as Knowledge Management-as-a-Service. The article discusses how KM has the opportunity to evolve in synergy with Cloud Computing technologies using the modified Metcalfe’s law, while simultaneously pursuing other benefits. This research reveals that if Cloud Computing is successfully deployed, it will contribute to the efficient use of the under-utilized computing resources and enable a low carbon economy. However, challenges such as security, information overload and legal issues must be addressed by researchers before Cloud Computing becomes the de facto KM platform.

While the technical, legal and environmental complications of Cloud Computing have received the attention warranted, the KM concepts and implementation facets within the realm of the knowledge society have not yet received adequate consideration. This paper provides enterprise KM architects, planners, chief information officers (CIOs) and chief knowledge officers (CKOs) with a comprehensive review of the critical issues, many of which are often overlooked or treated in a fragmented manner within the Cloud environment.

In modern cloud services, resource provisioning and allocation are significant for assigning the available resources in efficient way. Resource management in cloud becomes challenging due to high energy consumption at data center (DC), virtual machine (VM) migration, high operational cost and overhead on DC.

In this paper, the authors proposed software-defined networking (SDN)-enabled cloud for resource management to reduce energy consumption in DC. SDN-cloud comprises four phases: (1) user authentication, (2) service-level agreement (SLA) constraints, (3) cloud interceder and (4) SDN-controller.

Resource management is significant for reducing power consumption in CDs that is based on scheduling, VM placement, with Quality of Service (QoS) requirements.

The main goal is to utilize the resources energy effectively for reducing power consumption in cloud environment. This method effectively increases the user service rate and reduces the unnecessary migration process.

As a result, the authors show a significant reduction in energy consumption by 20 KWh as well as over 60% power consumption in the presence of 500 VMs. In future, the authors have planned to concentrate the issues on resource failure and also SLA violation rate with respect to number of resources will be decreased.

Cloud computing is qualified to present proper limitless storage and computation resources to users as services throughout the internet. Software as a service (SaaS) layer is the key paradigm perspective in the software layer of the cloud computing. SaaS is connected by business applications to access consumers on existing public, private and hybrid cloud models. This purpose of this paper is to present a discussion and analysis on the SaaS layer based on business applications in the cloud environment in form of a classical taxonomy to recognize the existing techniques, challenges and efforts.

Existing techniques, challenges and efforts are classified into four categories: platform-dependent, application-dependent, data-dependent and security-dependent mechanisms. The SaaS layer mechanisms are compared with each other according to the important factors such as the structural properties, quality of service metrics, applied algorithms and measurement tools.

The benefits and weaknesses of each research study are analyzed. In the comparison results, the authors observed that the application-based method, the non-heuristic algorithms, the business process method have the highest percentage of the usage in this literature.

The SaaS layer mechanisms based on business applications have some main features such as high accessibility, compatibility, reusability and collaboration to provide activated application and operation services for user with help of Web browsers. A comprehensive analysis was presented as originality on the SaaS layer mechanisms based on business applications for high level of the cloud environment that 46 peer-reviewed studies were considered.

The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.

Systematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.

In this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.

This research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.

One of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.

This survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.

The global market for cloud gaming is growing rapidly. How gamers evaluate the service quality of this emerging form of cloud service has become a critical issue for both researchers and practitioners. Building on the literature on service quality and software as a service, this study develops and validates a gamer-centric measurement instrument for cloud gaming service quality.

A three-step measurement instrument development process, including item generation, scale development and instrument testing, was adopted to conceptualize and operationalize cloud gaming service quality.

Cloud gaming service quality consists of two second-order constructs of support service quality and technical service quality with seven first-order dimensions, namely rapport, responsiveness, reliability, compatibility, ubiquity, smoothness and comprehensiveness. The instrument exhibits desirable psychometric properties.

Practitioners can use this new measurement instrument to evaluate gamers' perceptions toward their service and to identify areas for improvement.

This study contributes to the service quality literature by utilizing qualitative and quantitative approaches to develop and validate a new measurement instrument of service quality in the context of cloud gaming and by identifying new dimensions (compatibility, ubiquity, smoothness and comprehensiveness) specific to it.

Start‐up companies in particular can benefit from cloud computing services, since frequently they do not operate an internal IT infrastructure. The purpose of this paper is to present a total cost of ownership (TCO) approach for cloud computing services.

The authors applied a multi‐method approach (systematic literature review, analysis of real cloud computing services, expert interviews, case study) for the development and evaluation of a formal mathematical TCO model.

It was found that decision processes in cloud computing are conducted ad hoc and lack systematic methods. The presented method raises the awareness of indirect and hidden costs in cloud computing.

Some restrictive assumptions were made. For instance, cost types that focus on an existing internal IT infrastructure were hidden. Future research can combine risk and security aspects by means of a TCO approach. Additionally, benefits management in cloud computing is another new research field that can, for instance, be explored by means of cost‐benefit analyses.

The analysis of relevant cost types and factors of cloud computing services is an important pillar of decision making in cloud computing. The software tool allows for an easy application of the TCO model with reasonable effort.

The paper provides an evaluated mathematical model for the calculation of the TCO of cloud computing services. With this tool, decision makers are able to decide whether outsourcing into the cloud is monetarily attractive; to be more specific, whether the costs associated with cloud computing services are lower than with a pre‐existing infrastructure.

High performance computing (HPC) is used to solve complex calculations that personal computing devices are unable to handle. HPC offers the potential for small- and medium-size enterprises (SMEs) to engage in product innovation, service improvement and the optimization of resource allocation (Borstnar and Ilijas, 2019). However, the expensive infrastructure, maintenance costs and resource knowledge gaps that accompany the use of HPC can make it inaccessible to SMEs. By moving HPC to the cloud, SMEs can gain access to the infrastructure without the requirement of owning or maintaining it, but they will need to accept the terms and conditions of the cloud contract. This paper aims to improve how SMEs access HPC through the cloud by providing insights into the terms and conditions of HPC cloud contracts.

This paper adopts a systematic literature review by implementing a four-step approach. A comprehensive search was undertaken and results synthesized to enable this paper’s objectives to be met.

This paper proposes that SMEs could gain competitive advantage(s) by understanding their own needs and improving their contract negotiation abilities, service management skills and risk management abilities before accepting the terms and conditions of the cloud contract. Furthermore, a checklist, service-level agreement, easily ignored elements and risk areas are presented as guidance for SMEs when reviewing their HPC cloud contract(s).

While HPC cloud contracts are a niche research topic, it is one of the key factors influencing the ability of SMEs to access HPC through the cloud. It is, however, by no means a level playfield with SMEs at a distinct disadvantage because of not influencing the writing up of the HPC cloud contract. The added value of the paper is that it contributes to our overall understanding of the terms and conditions of HPC cloud contracts.