scholarly journals Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ge Zhang ◽  
Lu Liu ◽  
Hao Guo
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Relevant Research ◽  
Factors Affecting ◽  
Research Perspective ◽  
Cloud Computing Adoption ◽  
Service Capability ◽  
Initial Scale ◽  
Matched Data ◽  
The Impact

Cloud computing offers significant impacts on organization by changing how information systems are developed, deployed, operated, maintained, and paid for. Therefore, the adoption of cloud computing becomes the focus of relevant research; however, previous studies have mostly studied the factors affecting cloud computing adoption from the perspective of adopters, ignoring the influence of the vendors. This study defines cloud service capability and develops scale to measure it from the perspective of cloud computing vendors to empirically examine the impact of the supply-side of cloud computing. The initial scale of cloud service capability is constructed using qualitative research, and the formal scale is obtained after two rounds of pretest. The statistical results of matched data collected from 132 cloud computing vendors and their users show that cloud service capability significantly affects cloud computing adoption. This study shifts the research perspective on cloud adoption to make theoretical contributions and management insights from the perspective of cloud computing vendors.

scholarly journals Cloud Computing Adoption Using TOE Framework for Indonesia’s Micro Small Medium Enterprises

2020 ◽  
Vol 4 (4) ◽  
pp. 237
Author(s):  
Anderes Gui ◽  
Yudi Fernando ◽  
Muhammad Shabir Shaharudin ◽  
Mazita Mokhtar ◽  
I Gusti Made Karmawan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Industrial Revolution ◽  
Positive Impact ◽  
Small And Medium Enterprises ◽  
Factors Affecting ◽  
Cloud Computing Adoption ◽  
Toe Framework ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
The Impact

Cloud computing is one of the pillars of the Industrial Revolution 4.0. Cloud computing provides ample benefits to companies such as mobility, ease of access, and enable collaboration. Nevertheless, the impact of cloud computing on the micro, small and medium enterprises (MSMEs) is not well established. This research aims to classify the factors affecting the acceptance of cloud computing in Indonesian MSMEs. A total of 135 participants participated in this analysis. The TOE Structure is used in this analysis. Methods of data collection using Google form. The details have been analysed with SPSS and SmartPLS. The findings demonstrated that top management encouragement and relative advantages have a positive impact on the adoption of cloud computing in MSMEs in Indonesia. In order to increase the adoption of cloud-based computing in Indonesia, cloud-based businesses need to concentrate on these two reasons so that MSMEs in Indonesia can embrace more cloud computing. Furthermore, the improvement of cloud computing adoption should come from government policy and incentives. Theoretically, this research helps to establish the TOE framework by providing empirical evidence. This research also explains that the TOE framework can help companies to understand critical domains that impact their businesses and which domain companies should focus.

Factors Affecting Cloud Computing Adoption and Continuance Intention of Students in Thailand

2021 ◽  
Author(s):  
Juthamon Sithipolvanichgul ◽  
Charlie Chen ◽  
Judy Land ◽  
Peter Ractham
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Online Education ◽  
Higher Education Institutions ◽  
Developed Countries ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Perceived Risks ◽  
Cloud Computing Adoption ◽  
The Impact

An increasing number of higher education institutions have embraced Cloud Computing Services (CCS) to better respond to the issues arising from the COVID-19 pandemic. Cloud computing has helped to ease the process and lower the cost of offering online education and hybrid learning. However, some universities in Thailand face cloud computing adoption challenges because students lack awareness of the benefits and risks of CCS. Therefore, it is vital to identify the critical factors affecting the initial and continuance adoption of CCS by students in less developed countries. This study adopts a trade-off lens to assess the impact of the perceived usefulness and perceived risks regarding students’ attitudes toward the initial and continuing adoption of CCS. Using a survey of CCS from a large public university in Thailand, we found that performance expectation and effort expectation positively affect perceived usefulness, and that authentication risks positively affect perceived risks. We also found that perceived usefulness rather than perceived risks is a deciding factor in adopting CCS. Higher education institutions in Thailand can accelerate the adoption of CCS by improving students’ perceived performance and reducing the perceived risks.

scholarly journals Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry

Life ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 310
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Tzu-Hui Pan ◽  
Chiao-Shan Chen
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Multiple Criteria Decision Making ◽  
Cloud Service ◽  
Computing System ◽  
Healthcare Industry ◽  
Computing Systems ◽  
Factors Affecting ◽  
Cloud Computing System ◽  
Health Cloud

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.

The Impact of Cloud Computing on Organizational Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 136-151
Author(s):  
Thura Al-Azzawi ◽  
Tugberk Kaya
Keyword(s):  
Cloud Computing ◽  
Human Resources ◽  
Organizational Performance ◽  
Business Performance ◽  
Direct Relation ◽  
Organizational Agility ◽  
Cloud Computing Adoption ◽  
The Cost ◽  
The Impact ◽  
The Relationship

The use of cloud computing has remarkable advantages in business performance. It is related especially in the portion of the organizational environment, such as organizational culture and organizational agility. Organizational agility provides an easier process to search and retrieve knowledge and allow the businesses to utilize and apply this knowledge to get high-quality services. Agility and culture factors can help organizations to enhance their cloud computing adoption. The achievement of any organization is dependent upon human resources. With human resources, the organization can develop its employees by sharing knowledge, skill, and experience of personnel. Expert cloud has a significant impact on and direct relation with human resources as it facilitates the communication among human resources better, more efficiently, and reduces the cost of the service. In this paper, the authors discuss the relationship between expert cloud and human resources to enhance the organizational performance through the assistance of organizational agility and culture.

scholarly journals An analysis of software aging in cloud environment

2020 ◽  
Vol 10 (6) ◽  
pp. 5985
Author(s):  
Shruthi P. ◽  
Nagaraj G. Cholli
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cloud Service ◽  
Software Systems ◽  
System Failure ◽  
Dynamic Nature ◽  
Software Aging ◽  
Software Rejuvenation ◽  
The Impact

Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps.

Broker-based optimization of SLA negotiations in cloud computing

2021 ◽  
Vol 17 (2) ◽  
pp. 179-195
Author(s):  
Priyanka Bharti ◽  
Rajeev Ranjan ◽  
Bhanu Prasad
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Environment ◽  
Negotiation Strategies ◽  
Sla Negotiation ◽  
Conflicting Interests ◽  
The Impact

Cloud computing provisions and allocates resources, in advance or real-time, to dynamic applications planned for execution. This is a challenging task as the Cloud-Service-Providers (CSPs) may not have sufficient resources at all times to satisfy the resource requests of the Cloud-Service-Users (CSUs). Further, the CSPs and CSUs have conflicting interests and may have different utilities. Service-Level-Agreement (SLA) negotiations among CSPs and CSUs can address these limitations. User Agents (UAs) negotiate for resources on behalf of the CSUs and help reduce the overall costs for the CSUs and enhance the resource utilization for the CSPs. This research proposes a broker-based mediation framework to optimize the SLA negotiation strategies between UAs and CSPs in Cloud environment. The impact of the proposed framework on utility, negotiation time, and request satisfaction are evaluated. The empirical results show that these strategies favor cooperative negotiation and achieve significantly higher utilities, higher satisfaction, and faster negotiation speed for all the entities involved in the negotiation.

Research on System Architecture to Provide Maximum Security, End User Device Independency and User Centric Control over Content in Cloud

2013 ◽  
Vol 4 (3) ◽  
pp. 38-52
Author(s):  
Sai Manoj Marepalli ◽  
Razia Sultana ◽  
Andreas Christ
Keyword(s):  
Cloud Computing ◽  
Detection System ◽  
Cloud Service ◽  
Service Level ◽  
Mobile Technologies ◽  
Communication Structure ◽  
Layered Architecture ◽  
Wide Range ◽  
The Impact ◽  
Cloud User

Cloud computing is the emerging technology providing IT as a utility through internet. The benefits of cloud computing are but not limited to service based, scalable, elastic, shared pool of resources, metered by use. Due to mentioned benefits the concept of cloud computing fits very well with the concept of m-learning which differs from other forms of e-learning, covers a wide range of possibilities opened up by the convergence of new mobile technologies, wireless communication structure and distance learning development. The concept of cloud computing like any other concept has not only benefits but also introduces myriad of security issues, such as transparency between cloud user and provider, lack of standards, security concerns related to identity, Service Level Agreements (SLA) inadequacy etc. Providing secure, transparent, and reliable services in cloud computing environment is an important issue. This paper introduces a secured three layered architecture with an advance Intrusion Detection System (advIDS), which overcomes different vulnerabilities on cloud deployed applications. This proposed architecture can reduce the impact of different attacks by providing timely alerts, rejecting the unauthorized access over services, and recording the new threat profiles for future verification. The goal of this research is to provide more control over data and applications to the cloud user, which are now mainly controlled by Cloud Service Provider (CSP).

Selection of Cloud Delivery and Deployment Models

2018 ◽  
Vol 10 (4) ◽  
pp. 17-32
Author(s):  
Mustafa I.M. Eid ◽  
Ibrahim M. Al-Jabri ◽  
M. Sadiq Sohail
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Service Delivery ◽  
Cloud Service ◽  
Cloud Services ◽  
Organizational Conditions ◽  
Cloud Computing Adoption ◽  
Selection Decision ◽  
The Right ◽  
System Prototype

Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a rule-based expert system prototype, which provides advice based on a set of factors that represent the organizational conditions and requirements pertaining to cloud computing adoption. Next, the authors evaluate the system prototype. Lastly, the article concludes with a discussion of the results, its practical implications, limitations, and further research directions.

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