Academic literature on the topic 'Clod Adoption Models'
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Journal articles on the topic "Clod Adoption Models"
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Somanathan, Sureshkumar. "Building versus buying in cloud transformation: project management and security considerations." International Journal of Applied Engineering & Technology 5, S1 (2023): 81–90. https://doi.org/10.5281/zenodo.14942034.
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Athambawa, Aiman, Md Gapar Md Johar, and Ali Khathibi. "Secure cloud adoption model: novel hybrid reference model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 936–43. https://doi.org/10.11591/ijeecs.v27.i2.pp936-943.
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This article discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model. Two hundred and fifty-six key officials from information technology (IT) organisations in Sri Lanka participated in the survey. The study used quantitative data coding and analysis methods with the SPSS and AMOS softwares. The findings from previous research and existing technology adoption frameworks and models were summarised to support the secure cloud adoption model (SCAM).
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Agha, Ali Zaheer, Rajesh Kumar Shukla, Ratnesh Mishra, and Ravi Shankar Shukla. "Adoption of Cloud Enabling Cyber-Security Model in Organizations." Indian Journal Of Science And Technology 15, no. 48 (2022): 2727–39. http://dx.doi.org/10.17485/ijst/v15i48.1592.
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Eid, Mustafa I. M., Ibrahim M. Al-Jabri, and M. Sadiq Sohail. "Selection of Cloud Delivery and Deployment Models." International Journal of Decision Support System Technology 10, no. 4 (2018): 17–32. http://dx.doi.org/10.4018/ijdsst.2018100102.
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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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Aminu, Adamu Ahmed, and Adamu Saidu Alhaji. "Understanding determinants of cloud computing adoption: A review of technology adoption models." International Research Journal of Science, Technology, Education, and Management 2, no. 2 (2022): 226–41. https://doi.org/10.5281/zenodo.6955983.
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The adoption and usage of cloud computing have become a competitive weapon for achieving organizational or business sustainability and maintaining a strategic position in a marketplace or in the eyes of its clients, even though it has been facing various impediments as a result of inadequate understanding of appropriate models to be applied and the users’ perception of CCA. Consequently, this study aims to investigate and analyze the current state of the literature on cloud computing adoption (CCA) with various technology adoption models in different areas. However, inappropriate models could not explain the factors determining the adoption determinants and little research attention has been paid to the adoption of cloud computing. For this reason, a systematic literature review (SLR) was employed; hence a total of 204 articles were shortlisted and scrutinized accordingly. Furthermore, a total of 40 articles were finally selected as the study samples. The four theoretical models were selected for this study, namely: Technology Organization and Environment (TOE), Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Diffusion of Innovation (DOI). The findings of the study revealed that the TOE was the most adopted adoption model, followed by the DOI model. This study also identified 23 determinants of CCA that have been extracted from these four models as significant factors determining the adoption of cloud computing. Out of these determinants, security and privacy (SP) were found as the most dominant factors influencing CCA. SME is the major area where CCA has been used, especially from the year 2015 to 2020. There is a need to invest more in ICT in other sectors of the economy.
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Pardeshi, Vaishali. "Architecture and Adoption Model for Cloud in Higher Education: Indian Perspective." Bonfring International Journal of Industrial Engineering and Management Science 4, no. 2 (2014): 43–47. http://dx.doi.org/10.9756/bijiems.4741.
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Colin, Ting Si Xue1 Felicia Tiong Wee Xin2. "BENEFITS AND CHALLENGES OF THE ADOPTION OF CLOUD COMPUTING IN BUSINESS." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 1, December (2018): 01–15. https://doi.org/10.5281/zenodo.1436458.
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The loss of business and downturn of economics almost occur every day. Thus technology is needed in every organization. Cloud computing has played a major role in solving the inefficiencies problem in organizations and increase the growth of business thus help the organizations to stay competitive. It is required to improve and automate the traditional ways of doing business. Cloud computing has been considered as an innovative way to improve business. Overall, cloud computing enables the organizations to manage their business efficiently. Unnecessary procedural, administrative, hardware and software costs in organizations expenses are avoided using cloud computing. Although cloud computing can provide advantages but it does not mean that there are no drawbacks. Security has become the major concern in cloud and cloud attacks too. Business organizations need to be alert against the attacks to their cloud storage. Benefits and drawbacks of cloud computing in business will be explored in this paper. Some solutions also provided in this paper to overcome the drawbacks. The method has been used is secondary research, that is collecting data from published journal papers and conference papers.
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Al-Gharibi, Mansoor, Matthew Warren, and William Yeoh. "Risks of Critical Infrastructure Adoption of Cloud Computing by Government." International Journal of Cyber Warfare and Terrorism 10, no. 3 (2020): 47–58. http://dx.doi.org/10.4018/ijcwt.2020070104.
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The purpose of this article is to discuss the risks and reasons of adopting the cloud computing in the critical infrastructure within the government context of cloud computing adoption. The article will also present examples of cloud computing adoption in the critical infrastructure domain. The data used in the paper was gathered from different academic, governmental, and online sources. It was found that, although there are risks involved in the cloud computing adoption, governments are deploying cloud computing using different deployment models and reaching high level of deployment within the critical infrastructure. The findings of this study suggest that it is not a question of adopting or not anymore, but the question of how to mitigate the risks involved after the deployment.
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Ifawoye, Olakunle Isaac, Binyamin Adeniyi Ajayi, Florence Nemariyi Chukwuemeka, and Omonayin Esther T. "Cloud Computing Adoption Models in Organizations: A Survey." International Journal of Research and Innovation in Applied Science IX, no. V (2024): 509–21. http://dx.doi.org/10.51584/ijrias.2024.905045.
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An organization’s ability to implement innovations that provide it with a competitive edge and improve efficacy, reduce expenses, and raise the calibre of its business operations determines its competitiveness. With the advent of cloud computing (CC), the distribution of information technology (IT) resources and services has experienced a paradigm shift. The cloud computing adoption model is a logical set of stages built to ease the transition from today’s traditional application delivery model to tomorrow’s use of cloud computing it is an advanced approach for technologies of adoption of cloud which enables benefits to be realized incrementally. The Technology Acceptance Model (TAM) is an effective adoption hypothesis that has been applied in a lot of research studies in the IT industry. The model considers the reason for which a person uses a system or application, and it suggests that Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) serve as the primary drivers of IT adoption. TAM has demonstrated excellent adoption, use, and reproduction over time; nevertheless, the model did not provide crucial information on the user’s assumption to solely PU and PEOU. This constraint made it necessary to integrate or expand the model with other IT acceptance models. The Technology Organization Environment (TOE) framework puts forth a general list of adoption considerations for technology. Three contexts are examined under the TOE framework: technology, organization, and environment. While the meaning of the TOE system is also seen as clarifying technology adoption, TAM and its comprehensive forms have a high ability to clarify the reception of innovation. Combining these two models results in a newly designed and innovative redesign that advances and encourages more comprehensive, informative, and foresighted focal points of IT adoption by elevating the TAM and TOE models. Hence, the individual implementation or combination of the two models which harmonize the different components have been proposed by researchers. This paper presents a review of theories of cloud computing adoption and also discusses the challenges and possible solutions.
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Yoo, Seok-Keun, and Bo-Young Kim. "A Decision-Making Model for Adopting a Cloud Computing System." Sustainability 10, no. 8 (2018): 2952. http://dx.doi.org/10.3390/su10082952.
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The use of big data, artificial intelligence, and new information and communication technologies has led to sustainable developments and improved business competitiveness. Until recently cloud services were classified as having special system requirements for a business organization, and was represented by different cloud computing architecture layers like infrastructure, platform, or software as a service. However, as the environment of IT services undergoes successive changes, companies have been required to reconsider their business models and consider adopting a cloud computing system, which can bring on business achievements and development. Regarding a decision-making model for adopting a cloud computing system, this paper analyzes critical variables in a hierarchical structure of decision areas: technology, organization, and environment, as well as seven factors and 23 attributes based on underlying decision factors of cloud computing adoption by AHP (Analytic Hierarchy Process) and Delphi analysis. Furthermore, this research explores a comparative analysis between demanders and providers of cloud computing adoption. Resultantly, this study suggests several important factors for adopting a cloud computing system: top management support, competitive pressure, and compatibility. From the demander side, the high priority factor was compatibility and competitive pressure; in contrast, related advantage and top management support were regarded as priority factors for providers to service their cloud computing systems.
Dissertations / Theses on the topic "Clod Adoption Models"
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Alrajhi, Abdulelah. "The Role of Emotional Intelligence in Adopting Cloud Computing Technology: Applying Individual Characteristics of EI to TAM Model in Cloud Adoption." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544723457300032.
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Trivedi, Hrishikesh. "Cloud computing adoption model for governments and large enterprises." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/80675.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-81).<br>Cloud Computing has held organizations across the globe spell bound with its promise. As it moves from being a buzz word and hype into adoption, organizations are faced with question of how to best adopt cloud. Existing frameworks of cloud adoption look at different aspects of cloud but stop short of taking a view of the complete spectrum and suggesting a path. Cloud Computing adoption requires that organizations have readiness on multiple dimensions including Governance, Process Analysis and Improvement, Application Rationalization and Modernization, and Hardware and Software Standardization. Readiness in turn determines how far organizations can go in their cloud programs with key milestones being Proof of Concepts, Infrastructure Service, Virtual Desktop, Platform Service and Enterprise Software as Service. Readiness and Milestones inform us about multiple stages in cloud adoption. The analysis also indicates that certain governance structures are most suitable for cloud adoption. The duration of cloud program for a large organization lies in years, even multiple five year plans. Analyses of case studies indicate all these views and the systems modeling for enterprise software as service, in addition corroborates the likely duration of cloud program. For systems model we have used factors such as Total Non-Cloud Applications, Rationalization and Modernization Rate, Rate of Conversion into Enterprise Software as Service and Budget. The proposed Cloud Computing Adoption Model can help organizations understand what capabilities they need to develop, where they are on the cloud adoption spectrum and how much time it could take to go to cloud.<br>by Hrishikesh Trivedi.<br>S.M.
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Ribas, Maristella. "A Petri net decision model for cloud services adoption." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15609.
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Cloud services are now widely used, especially in Infrastructure as a Service (IaaS), with big players offering several purchasing options, and expanding almost daily the range of offered services. Cost reduction is a major factor promoting cloud services adoption. However, qualitative factors need to be evaluated as well, making the decision process of cloud services adoption a non-trivial task for managers. In this work, we propose a Petri net-based multi-criteria decision-making (MCDM) framework, in order to evaluate a cloud service in relation to a similar on-premises offer. The evaluation of both options considers cost and qualitative issues in a novel and simple method that incorporates best practices from academy and IT specialists. Furthermore, the use of Petri net models allows powerful extensions to perform deeper analysis of specific factors as needed. The framework can be helpful for IT managers to decide between the two options, and can be used for any type of cloud service (IaaS, SaaS, PaaS). Since cost is one of the most important factors promoting cloud adoption, we proceed with a deeper analysis of one important cost factor. We propose a Petri net to model cost savings using public clouds spot Instances purchasing option. Through extensive simulations in several scenarios we conclude that spot Instances can be a very interesting option for savings in auto scaling process, even in simple business applications using only a few servers. Exploring different purchasing options for cloud services can make the difference in the decision making process.<br>Atualmente, os serviÃos em nuvem sÃo amplamente utilizados, principalmente em infraestrutura como serviÃo (IaaS), com grandes fornecedores oferecendo vÃrias opÃÃes de compra e expandindo quase diariamente a gama de serviÃos oferecidos. A reduÃÃo de custos à o principal fator que promove a adoÃÃo de serviÃos em nuvem. No entanto, à preciso avaliar tambÃm fatores qualitativos, o que torna o processo de decisÃo de adoÃÃo de serviÃos em nuvem uma tarefa pouco trivial para os gestores. Este trabalho propÃe um modelo para tomada de decisÃo multicritÃrio (MDMC) utilizando redes de Petri para avaliar um serviÃo de nuvem comparado com um serviÃo disponibilizado localmente (on-premises), nas dependÃncias do usuÃrio. A avaliaÃÃo das duas opÃÃes considera questÃes qualitativas e de custo atravÃs de um mÃtodo novo e simples, que incorpora as melhores prÃticas de especialistas da academia e de tecnologia da informaÃÃo (TI). AlÃm disso, o uso de redes de Petri permite extensÃes poderosas para realizar anÃlises mais profundas de fatores especÃficos, conforme a necessidade de cada cenÃrio. O modelo pode ser Ãtil para apoiar gestores de TI na decisÃo entre as duas opÃÃes e pode ser usado para qualquer tipo de serviÃo de nuvem (IaaS, SaaS, PaaS). Como o custo à um dos fatores mais importantes para a adoÃÃo da nuvem, procedemos a uma anÃlise mais profunda de um fator de custo importante. à apresentada uma extensÃo ao modelo, tambÃm construÃdo com redes de Petri, para simular economias de custo usando uma determinada opÃÃo de compra de serviÃos em nuvens pÃblicas, as instÃncias spot. AtravÃs de extensas simulaÃÃes em vÃrios cenÃrios, o trabalho conclui que a utilizaÃÃo de instÃncias spot pode gerar uma grande economia no processo de escalonamento automÃtico, mesmo em aplicaÃÃes relativamente simples, utilizando apenas alguns servidores. Explorar diferentes opÃÃes de compra para os serviÃos em nuvem faz uma enorme diferenÃa nos custos e pode ter grande influÃncia no processo de tomada de decisÃo.
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Albugmi, Ahmed Nammas. "A model for cloud computing adoption by Saudi government overseas agencies." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/424430/.
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There are benefits and challenges in cloud computing adoption, which could be affected by technological, environmental, organisational and societal factors. Cloud computing adoption has been sufficiently investigated; however, there is dearth of empirical research on cloud computing adoption in public sector organisations of developing countries that operate overseas such as embassies, trade and commerce offices and cultural bureaus. The aim of this study is to empirically identify factors that significantly influence the adoption of cloud computing in government organisations overseas. The methodology of this cross sectional study includes use of mixed method approach and data triangulation using exploratory semi-structured interviews with 10 IT experts, evaluation of a cloud computing research framework by 37 IT experts and an online questionnaire survey involving a convenience sample of 226 employees working in different overseas organisations of Saudi Arabian government. The survey data were analysed using the exploratory factor analysis (EFA) and followed by confirmatory factor analysis (CFA) and structural equation modelling (SEM). The results showed cloud computing adoption has statistically significant positive association with top management support (β=0.7, p < 0.001), data security (β=0.678, p < 0.001), trust (β=0.58, p = 0.001), cost of infrastructure (β=0.479, p = 0.001), usefulness of the system (β=0.449, p < 0.001), privacy (β=0.362, p = 0.001) organisation size (β=0.299, p = 0.001), employee readiness (β=0.26, p = 0.006) and quality of service (β=0.184, p = 0.009). Cloud computing adoption has statistically significant but negative association with culture of the home country (i.e. Kingdom of Saudi Arabia) (β= -0.689, p = 0.001), legal and policy concerns (β= -0.559, p = 0.001), lack of IT standards (β= -0.519, p < 0.001), employee resistance (β= -0.364, p = 0.016), expandability of application to the cloud (β= -0.186, p = 0.015) and government intervention (β= -0.083, p = 0.001). There was no statistically significant association between cloud computing adoption and vision of an organisation (β= -0.083, p = 0.233), culture of (Saudi) government organisations overseas (β= -0.08, p = 0.214), change management competences (β= -0.038, p = 0.879) and internet speed and reliability (β= -0.014, p = 0.829). The present study has identified that top management support, data security, and cost of infrastructure are the three critical factors that could promote cloud computing adoption decisions in overseas government organisations of developing countries such as Saudi Arabia. However, the major barriers in cloud computing adoption culture in these organisations include the home country and legal and policy concerns, which need to be considered by managers and policy makers interested in cloud computing adoption. In addition, cloud computing services providers should address the critical barriers especially the lack of IT standards that have been identified as a key factor having a significant negative association with cloud computing adoption.
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Alassafi, Madini Obad. "A security model for cloud computing adoption in Saudi Arabian government organisations." Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/418978/.
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Cloud computing plays an essential role in public organisations and private sector companies, while also reducing the cost of using information technology services. Not only is cloud computing available for users to access anytime and anywhere, but also makes it possible for them to pay for only what they use. In Middle Eastern developing countries, such as Saudi Arabia, cloud computing is still not extensively adopted compared with countries in the West. In order to encourage the adoption of cloud services, this research addresses the essential to investigate the security factors which are associated with cloud computing, and which influence organisations’ desire to adopt the cloud services. Subsequently, this study has developed a theoretical framework that associates security in cloud adoption. In light of the above, the main contribution of this study is the Security Cloud Adoption Framework development in order to support an investigation into the security factors that influence the adoption of cloud computing in KSA government organisations. This research proposes a framework which can be used to understand and evaluate security in cloud adoption; particular emphasis is placed on risks, social aspects, and benefits when implementing security in the cloud services. The proposed framework consists of three categories, namely the Security Social category, the Cloud Security Risks category, and the Cloud Security Benefits category. The framework factors were identified by critically reviewing studies found in the literature, together with factors from the industrial standards within the context of the KSA. The methods used in this confirmatory study were expert interviews and questionnaires. Interviews were conducted with 12 security experts in different Saudi government organisations to confirm the aforementioned factors and to identify those omitted from previous studies. The second method used was questionnaires, which were distributed to 32 IT and security experts from different Saudi government organisations in order to confirm the security factors in the security cloud adoption framework. This framework was subsequently developed. The outcomes from the expert interviews exposed that the proposed security factors in the security cloud adoption framework are statistically significant. In addition to this, the analysis of the interview outcomes and the questionnaire results indicated that there is an additional factor, namely Failure of Client-side encryption, which could potentially affect the adoption of cloud services in KSA government organisations. Experts and security specialists expressed the belief that this factor may influence cloud adoption. The findings of this research were used to improve the suggested framework. Finally, in the validation study, a new instrument was used with 215 IT and security experts in different Saudi government organisations; the purpose of this was to explore the relationship among security factors and to test the model. The instrument was evaluated using a group of experiments; the security experts evaluated the instrument applying the content validity ratio, while the security experts had a part in the validation study. The validation study involved important two tests which examined the internal reliability and the correlation analyses. After applying Structural Equation Modelling (SEM), the resulting data clearly showed a good fit of the structural model and measurement analyses. The key outcomes of the validation study revealed that the relationships among security factors were discovered to have a direct and statistically significant effect in the model. This specifies that the proposed model fits the data and applies to the Saudi context. The contributions of this research are as follows: firstly, it developed a security cloud framework within the KSA context and, secondly, the framework was extended to a security cloud instrument for measurement and validation of the model. Overall, the outcomes of this study are of valuable information in terms of recommendations to cloud providers, government organisations, administrators, and policy makers. Simply put, these findings can assist in the implementation of cloud computing and encourage the spread of this phenomenon across countries in the Middle Eastern, particularly in Saudi Arabia.
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Nassif, George T. "Cloud Computing Adoption in Afghanistan: A Quantitative Study Based on the Technology Acceptance Model." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7831.
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Cloud computing emerged as an alternative to traditional in-house data centers that businesses can leverage to increase the operation agility and employees' productivity. IT solution architects are tasked with presenting to IT managers some analysis reflecting cloud computing adoption critical barriers and challenges. This quantitative correlational study established an enhanced technology acceptance model (TAM) with four external variables: perceived security (PeS), perceived privacy (PeP), perceived connectedness (PeN), and perceived complexity (PeC) as antecedents of perceived usefulness (PU) and perceived ease of use (PEoU) in a cloud computing context. Data collected from 125 participants, who responded to the invitation through an online survey focusing on Afghanistan's main cities Kabul, Mazar, and Herat. The analysis showed that PEoU was a predictor of the behavioral intention of cloud computing adoption, which is consistent with the TAM; PEoU with an R2 = .15 had a stronger influence than PU with an R2 = .023 on cloud computing behavior intention of adoption and use. PeN, PeS, and PeP significantly influenced the behavioral intentions of IT architects to adopt and use the technology. This study showed that PeC was not a significant barrier to cloud computing adoption in Afghanistan. By adopting cloud services, employees can have access to various tools that can help increase business productivity and contribute to improving the work environment. Cloud services, as an alternative solution to home data centers, can help businesses reduce power consumption and consecutively decrease in carbon dioxide emissions due to less power demand.
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Khajeh-Hosseini, Ali. "Supporting system deployment decisions in public clouds." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3412.
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Decisions to deploy IT systems on public Infrastructure-as-a-Service clouds can be complicated as evaluating the benefits, risks and costs of using such clouds is not straightforward. The aim of this project was to investigate the challenges that enterprises face when making system deployment decisions in public clouds, and to develop vendor-neutral tools to inform decision makers during this process. Three tools were developed to support decision makers: 1. Cloud Suitability Checklist: a simple list of questions to provide a rapid assessment of the suitability of public IaaS clouds for a specific IT system. 2. Benefits and Risks Assessment tool: a spreadsheet that includes the general benefits and risks of using public clouds; this provides a starting point for risk assessment and helps organisations start discussions about cloud adoption. 3. Elastic Cost Modelling: a tool that enables decision makers to model their system deployment options in public clouds and forecast their costs. These three tools collectively enable decision makers to investigate the benefits, risks and costs of using public clouds, and effectively support them in making system deployment decisions. Data was collected from five case studies and hundreds of users to evaluate the effectiveness of the tools. This data showed that the cost effectiveness of using public clouds is situation dependent rather than universally less expensive than traditional forms of IT provisioning. Running systems on the cloud using a traditional 'always on' approach can be less cost effective than on-premise servers, and the elastic nature of the cloud has to be considered if costs are to be reduced. Decision makers have to model the variations in resource usage and their systems' deployment options to obtain accurate cost estimates. Performing upfront cost modelling is beneficial as there can be significant cost differences between different cloud providers, and different deployment options within a single cloud. During such modelling exercises, the variations in a system's load (over time) must be taken into account to produce more accurate cost estimates, and the notion of elasticity patterns that is presented in this thesis provides one simple way to do this.
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Zaguir, Nemer Alberto. "Adoção da computação em nuvem: questões organizacionais e ambientais com o uso do modelo TAM-TOE em empresas de grande porte." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-22062017-140341/.
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A computação em nuvem é um modelo que catalisa mudanças marcantes na forma com que a Tecnologia da Informação é distribuída. Como benefícios, sobressai-se a viabilidade de acesso rápido, de qualquer lugar, a recursos disponibilizados como serviços e utilizados sob demanda, subsidiando a criação de novos modelos de negócios. Entretanto, com os ativos da TI externos à organização, aumenta-se o interesse por estudos sobre adoção. A literatura retrata a utilização de vários modelos de adoção, entre eles o TAM (Technology Acceptance Model) e o TOE (Technology-Organizational-enviroment framework). Uma pesquisa que utilizou a combinação TAM-TOE revelou bom grau de previsão da adoção pelo modelo, porém indicou a necessidade de estudos de casos para aprofundar o tema em outros contextos, ensejando a questão: como ocorre o processo de adoção da computação em nuvem em relação às questões organizacionais e ambientais? Foi realizada uma revisão sistemática da literatura para confirmar lacunas de pesquisa e estender o modelo TAM-TOE, destacando-se elementos da teoria institucional no processo de adoção. Trata-se de uma pesquisa qualitativa, descritiva e estruturada por meio de estudos de casos múltiplos, com unidade de análise definida pelo estudo do processo de adoção de um serviço de nuvem em empresa de grande porte caracterizada como suporte no modelo de grade estratégica da TI. Sete unidades foram analisadas abordando-se influência das pressões institucionais sobre a alta gestão, as avaliações dos serviços e os termos de licenciamento dos contratos. O estudo contribui para a elucidação de comportamentos diferenciados das pressões institucionais sobre a alta gestão na decisão de adoção, destacando-se os mecanismos coercitivos. Expõe situações onde a gestão dos serviços requer a participação da TI sob o modo tradicional e discute aspectos contratuais sobre o licenciamento de serviços. Por fim, apresenta-se uma reflexão sobre a utilização do modelo, do método e limitações da pesquisa, com a indicação de estudos futuros para aprofundar as contribuições indicadas em outros contextos.<br>Cloud Computing is a model that has brought revolutionary changes in the way Information Technology (IT) is distributed. As benefits, it stands out the feasibility of fast access possible from anywhere to resources made available as on-demand services that help to create new business models. However, with IT assets outside the organization, interest in adoption studies have increased. The literature describes the use of several adoption models, among which are the Technology-Acceptance-Model (TAM) and the Technology-Organizational-environment (TOE). One research used the TAM-TOE combination and revealed a good degree of prediction to justify adoptions, but indicated the need for case studies to better understanding of adoptions in other contexts, raising the question: how should the process of adopting cloud computing occur regarding organizational and environmental questions? A systematic literature review was conducted to confirm research gaps and to broaden the TAM-TOE model, highlighting elements of institutional theory and its influence in the adoption process. This is a qualitative, descriptive and structured research using multiple case studies, with unit of analysis defined by the study of the process of adopting a cloud service in a large company characterized as support in the IT strategic grid model. Seven units were analyzed by addressing institutional pressures on top management, service evaluations and contract licensing terms. The study contributes to the elucidation of different behaviors of the institutional pressures on the top management in the decision making for its adoption, emphasizing the coercive mechanisms. It exposes situations in which the service management might require the participation of IT in the traditional way and the discussion of contractual aspects about the licensing of services. Finally, a reflection on the use of the model, method and limitations of the research is presented, indicating future studies.
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Cogo, Gabriel Silva. "Análise da intenção de adoção da computação em nuvem por profissionais da área de TI." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/78039.
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A computação em nuvem emerge quando se trata da necessidade dos desenvolvedores de TI de sempre aumentar ou incluir novas capacidades, o mais rápido possível, com o menor investimento possível. Ela vem sendo apontada como uma das maiores inovações em TI nos últimos anos e por isso vem chamando a atenção tanto da comunidade acadêmica quanto da comercial. Apesar deste crescente interesse na tecnologia pela literatura acadêmica, a maior parte do foco das pesquisas se dá nos aspectos técnicos, como potencial computacional e custos. Pesquisas sobre as preferências dos profissionais da área relativa à computação em nuvem como uma ferramenta de negócios estão limitadas a estudos de consultorias e empresas privadas. Esta pesquisa tem como objetivo apresentar um estudo do impacto de diferentes dimensões sobre a intenção de adoção da computação em nuvem por profissionais de TI. Para isto, utiliza uma variação do modelo TAM/UTAUT para verificação de intenção de adoção de novas tecnologias. O método escolhido foi a pesquisa survey, realizada a partir de um instrumento previamente proposto e adaptado, sendo feita em duas etapas: estudo de pré-teste e estudo final. Diferentes técnicas estatísticas foram empregadas para refinar o instrumento, como Análise de Confiabilidade, Análise Fatorial Exploratória e Análise Fatorial Confirmatória, utilizando o método PLS (Partial Least Squares) para Equações Estruturais. Como resultado deste refinamento emergiu um modelo teórico de pesquisa final contendo 8 dimensões e 36 itens. Como contribuição para a área de SI, o modelo teórico de pesquisa final se mostrou adequado para avaliar a intenção de adoção da computação em nuvem por profissionais de TI. A principal contribuição da pesquisa para a prática gerencial é o modelo de intenção de adoção da computação em nuvem, que pode auxiliar provedores de computação em nuvem, através da mensuração das principais razões para sua adoção, que são Utilidade Percebida e Atitude Frente à Inovação Tecnológica. Também demonstra que não existe uma relação positiva entre Segurança e Confiança e a Intenção Comportamental. Doze hipóteses foram validadas e seis das hipóteses propostas foram negadas pelos dados. Estas informações buscam fornecer material para que se possa inspirar os esforços no desenvolvimento da tecnologia como ferramenta de negócio.<br>Cloud computing emerges when we talk about the necessity of the IT developers to always increase or add new capabilities, as soon as possible, with the lowest investment possible. It has been appointed as one of the biggest IT innovations in the recent years, and for that reason it’s been calling the attention of the academic and management communities. Even with the growing interest by the academic community, most of the research focus on technical aspects, such as computational potencial and costs. Researches involving professionals’ preferences with cloud computing as a business tool are limited to consultant and private studies at most. This research has the purpose of presenting a study about the impact of different dimensions in the intention of adoption of cloud computing by IT professionals. To do so, it uses a variation of the TAM/UTAUT model for the verification of the intention of adopting new technologies. The research method is the survey research, made with a previously proposed and adapted instrument, conducted in two stages: pre-test study and final study. Different statistical techniques were used to refine the instrument, such as Reliability Analisis, Exploratory Factor Analysis and Confirmatory Factor Analysis, this one using the PLS (Partial Least Squares) Path modeling for SEM (Structural Equation Modeling). As a result of this refinement, emerged a theorical research model containing 8 dimensions and 36 measuring items. As contribution to the IS area, the theorical model proved adequate to assess the intention of adoption of cloud computing by IT professionals. The research’s main contribution to the business practice is the model of cloud computing intention of adoption, that aids cloud providers, trought the measurement of the main reasons behind the adoption of the technology, wich are Perceived Utility and Attitude Towards Technology Innovation. Also demonstrates that there are no positive relation between Security and Trust and the Behaviorial Intention. Twelve of the hypothesis were sustained, and six of the proposed hypothesis were denied by the data. This information intends to inspire efforts in developing the technology as a business tool.
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Ting, Yen-Hsiang, and 丁彥翔. "Using the Integration Models for Evaluating the Improvement Strategies of Cloud Service System Adoption." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/36658817785853061846.
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碩士<br>國立臺灣師範大學<br>工業教育學系<br>101<br>The advances in information and communication technology (ICT) and rapidly diffused novel consumer electronics products increase demands accelerates the adoptions of cloud computing applications. However, evaluation and application of cloud-based applications is always challenging for information technology (IT) managers’ decisions of technology adoption. Though some leading firms have already adopted the cloud computing based systems, a lot of firms still have barriers to do so. Therefore, an analysis and evaluation of factors influencing the adoption and the final success of the cloud service based systems are very critical. However, past researches on related issues are very limited. Thus, this research aims to develop an analytic framework to derive critical factors influencing the adoption and the final success of the cloud based systems. At first, the literature being related to the Task-Technology Fit Model (TTF), Information System Success Model (IS Success Model) as well as recent advances in the cloud computation technology will be reviewed. Then, a multiple criteria decision making (MCDM) framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) based Network Process (ANP) will be introduced for constructing the decision problem and deriving weights versus each criterion based on experts’ opinions. Further, the theoretical framework and corresponding hypotheses will be tested based on business users’ opinions by using the structural equation modeling (SEM) method. Finally, the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the tool for ranking the alternatives will be proposed for defining strategies for enhancing the adoption as well as information system success rate. An empirical analysis based on the cloud computation services being provided by China Telecom Corp. Taiwan will be used for verifying the feasibility of the analytic framework. The empirical study based on industrial experts present that user satisfaction is the most important. In adoption strategies that resources flexibility, low cost, and integration are the best. The results of this research can serve as the basis for marketing and R&;D strategy definitions for cloud computation service providers. The analytic framework can also serve as the basis for strategy definitions aiming to enhance the adoption rate as well as successes of other information systems.
Books on the topic "Clod Adoption Models"
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Wang, Ge. Improvisation of the Masses. Edited by Benjamin Piekut and George E. Lewis. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199892921.013.15.
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The mass-scale adoption of modern mobile computing technology presents immense potential to reshape the way we engage one another socially, creatively, and musically. This article explores ad hoc music-making and improvisatory performance on a massive scale, leveraging personal interactive mobile instruments (e.g., via iPhones and iPads), location-awareness (via GPS), and the connective social potential of cloud computing. I investigate a new social/musical improvisatory context that doesn’t exist in any single location but as a network and community of anonymous but connected participants around the world. As case studies, I will draw from experiences with the Stanford Mobile Phone Orchestra, as well as the community of Smule social/proto-musical experiences on mobile devices, including Ocarina, I Am T-Pain, and MadPad. I reflect on these experiences in the context of a new type of “anytime, anywhere” music made with mobile devices.
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Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Complexity and Public Health Informatics in Low and Middle-Income Countries. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.003.0007.
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This chapter enriches the Expanded PHI perspective through the lens of complexity. Current technical health systems and institutional developments, including the increasing inter-connections between them, and the uncertainities associated with both context and goals are enhancing complexity exponentially. Simple linear approaches to design and develop systems can no longer work, as they imply trying to bring order into processes which by definition defy them. Cloud computing and big data are offered as examples to depict this rising complexity, providing rich opportunities to materialize them. Many organizations are adopting outsourcing models as a means to manage this complexity. However, outsourcing comes in multiple hues and shades, from a simple use of third party hardware to the externalization of the whole value chain of activities, including the analysis and use of data. Public health informatics in LMICs, which are population-based and taking place in largely resource-constrained and unstructured settings, are by definition problematic to outsource and should be approached with caution. An incremental approach where a ‘cultivation strategy’ addresses uncertainities, and ‘attractors’ draw in user-participants are more likely to succeed.
Book chapters on the topic "Clod Adoption Models"
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Hill, Richard, Laurie Hirsch, Peter Lake, and Siavash Moshiri. "Business Adoption Models and Legal Aspects of the Cloud." In Guide to Cloud Computing. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4603-2_2.
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Hornage, James. "Federal Cloud Computing Adoption Case Study: A Retrospective Analysis as a Precursor to Optimized Quantum Adoption Methodologies." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85884-0_13.
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Abstract Slowed federal adoption of cloud computing was due to a combination of major changes in information technology (IT) ecosystem and the lack of a new model to address adoption challenges in the evolving environment. Since cloud computing adoption is still ongoing, the federal government continues to focus on the steps necessary to move the government forward from a state of partial adoption. This paper analyzes the government approach to cloud computing adoption to identify changes that can be implemented to optimize quantum computing adoption. The research found that evolving cloud definitions, required governance changes, cloud workforce competition, competing enterprise requirements, and contracting approach issues were the primary adoption impediments.
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Ratten, Vanessa. "Social Cognitive Theory and the Technology Acceptance Model in the Cloud Computing Context: The Role of Social Networks, Privacy Concerns and Behavioural Advertising." In Adoption of Innovation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14523-5_4.
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Christoforou, Andreas, and Andreas S. Andreou. "A Cloud Adoption Decision Support Model Using Influence Diagrams." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41142-7_16.
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Patibandla, R. S. M. Lakshmi, V. Lakshman Narayana, and Arepalli Peda Gopi. "Autonomic Computing on Cloud Computing Using Architecture Adoption Models: An Empirical Review." In Autonomic Computing in Cloud Resource Management in Industry 4.0. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71756-8_11.
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Rico-Bautista, Dewar, César D. Guerrero, César A. Collazos, et al. "Smart University: Key Factors for a Cloud Computing Adoption Model." In Intelligent Sustainable Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6369-7_8.
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Al-Sharafi, Mohammed A., Qasim AlAjmi, Mostafa Al-Emran, Yousef A. M. Qasem, and Yahya M. Aldheleai. "Cloud Computing Adoption in Higher Education: An Integrated Theoretical Model." In Studies in Systems, Decision and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64987-6_12.
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AlAjmi, Qasim. "Adoption Model for Cloud-Based E-Learning in Higher Education." In Advances on Intelligent Computing and Data Science. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36258-3_51.
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Chiniah, Aatish, Avinash E. U. Mungur, and Krishnen Naidoo Permal. "Evaluation of Cloud Computing Adoption Using a Hybrid TAM/TOE Model." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3338-5_24.
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Christoforou, Andreas, and Andreas S. Andreou. "A Cloud Adoption Decision Support Model Based on Fuzzy Cognitive Maps." In Product-Focused Software Process Improvement. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39259-7_20.
Full textConference papers on the topic "Clod Adoption Models"
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Kiros, Atakilti Brhanu, Ayodeji Olalekan Salau, Satvik Vats, Keshav Kaushik, Ting Tin Tin, and Crescent Onyebuchi Omeje. "Cloud-based Machine Learning Adoption Model for Higher Education Institutions." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947842.
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Al-Hashedi, Abdullah, Nabil Almekhlafi, Mohamed Tahar Ben Othman, and Abdullatif Ghallab. "An Integrated Theoretical Model for Cloud Computing Adoption in Universities of Yemen." In 2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI). IEEE, 2024. https://doi.org/10.1109/iceti63946.2024.10777110.
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Liagkou, Vasiliki, Evangelia Filiopoulou, George Fragiadakis, Mara Nikolaidou, and Christos Michalakelis. "The cost perspective of adopting Large Language Model-as-a-Service." In 2024 IEEE International Conference on Joint Cloud Computing (JCC). IEEE, 2024. http://dx.doi.org/10.1109/jcc62314.2024.00020.
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Agbemafle, Eric Korku, Ben-Bright Benuwa, Benjamin Ghansah, Stephen Opoku Oppong, and Kojo Agyekum Asiama. "Enhanced Technology Acceptance Model for Evaluating Adoption of Cloud Computing in Colleges of Education in Ghana." In 2024 IEEE SmartBlock4Africa. IEEE, 2024. https://doi.org/10.1109/smartblock4africa61928.2024.10779531.
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Tongsuksai, Sunchai, Sanjay Mathrani, Kasuni Weerasinghe, and Chris Scogings. "A Conceptual Model for Cloud Erp Adoption in Smes in New Zealand: a Case Study of a Retail Company." In 2024 International Conference on Sustainable Technology and Engineering (i-COSTE). IEEE, 2024. https://doi.org/10.1109/i-coste63786.2024.11024803.
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Sodeinde, Tolu. "Digitalization of the Energy Sector through Transformative and Emerging Technologies." In MPWT 2019. NACE International, 2019. https://doi.org/10.5006/mpwt19-15486.
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Abstract Organizations are undergoing radical changes to improve their business performance to stay competitive in today’s digital environment. From the C-suite to shop floor, decision makers are going through radical rethinking (and exploring new ways) of how their organizations utilize and manage the intersection of technology, people, and processes to fundamentally change the way they do business, remain competitive, and maximize business value for their customers. The “fourth industrial revolution” (Industry 4.0) brought about digitization of data and information. With “internet of things” (IoT) sensors, companies are able to capture information that was inaccessible digitally prior and make it available for optimizing production, enhancing performance, and improving reliability of operating assets. Industrial IoT (IIoT) technologies are now commonplace in the energy sector; employed across upstream, downstream, and midstream assets, as well as in utilities. However, with increased deployments and adoption of IIoT also comes the need to deploy latest technologies in pursuit of new business models. The energy sector and particularly the oil and gas industry has traditionally been slow in adopting new and emerging technologies. Other sectors of the economy are undergoing disruption at a much faster pace than the energy sector, with new Startups using technology to radically change interaction of people and processes, develop new business models, and create value. However, in recent years, technology is being employed not only to replace manual processes with automated electronic systems, but to reinvent ways oil and gas companies do business, execute work functions, and interact with customers. Disruptive technologies are being harnessed and deployed at scale by connecting machines and intelligent devices to create a smart network of interconnected systems across the value chain. However, the depth of what can be achieved is yet to be fully harnessed. For instance, analyzing industry data collected on a large scale both at the edge and on cloud to identify operational patterns and make optimal business predictions across the value chain. The “fifth industrial revolution,” Industry 5.0 is the new emerging industrial technology that enables collaboration between humans and smart systems. Industry 4.0 lays the foundation for this next emerging technology that incorporates human behavior and cognitive capabilities into industry automation
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Cayirci, Erdal, Alexandr Garaga, Anderson Santana, and Yves Roudier. "A Cloud Adoption Risk Assessment Model." In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC). IEEE, 2014. http://dx.doi.org/10.1109/ucc.2014.148.
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Nasir, Usman, and Mahmood Niazi. "Cloud computing adoption assessment model (CAAM)." In the 12th International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2181101.2181110.
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Mangula, Ivonne Sartika, Inge van de Weerd, and Sjaak Brinkkemper. "Adoption of the cloud business model in Indonesia." In the 14th International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2428736.2428749.
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Gavrilas, Natalia, Oxana Costetchi-Jusca, and Elena Bespalco. "Cloud accounting and artificial intelligence - essential partners for the accounting profession in the digital era." In International Scientific Conference "Modern Paradigms in the Development of the National and World Economy", 17th Edition. Moldova State University, 2025. https://doi.org/10.59295/mpdnwe2024.39.
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Purpose of the article: This research is to analyze the impact of cloud accounting and artificial intelligence (AI) on the accounting profession in the context of the digital age. The study aims to investigate how the integration of these technologies is redefining accounting processes, increasing operational efficiency, facilitating data-driven decisions and contributing to the transition of accountants from transactional roles to strategic functions. At the same time, the research aims to identify the challenges and opportunities that companies encounter in adopting these technological solutions, as well as how the transformation influences compliance, security and scalability within financial operations. Methodology: The research combines literature review with case studies to provide a clearer insight into the partnership between cloud accounting and artificial intelligence (AI). The literature review summarizes existing research on the adoption of cloud and AI technologies in accounting, focusing on their benefits, challenges and strategic implications. Case studies are used to examine real examples of companies that have successfully implemented cloud accounting and AI, highlighting best practices and the results achieved. Conclusions: Cloud accounting and artificial intelligence not only complement each other, but are critical factors for the future of the accounting profession. The integration of these technologies brings significant advantages, such as optimized automation of repetitive tasks, real-time access to data, and the use of advanced analytics for forecasting and decision-making. Originality: There is highlighted the synergy between cloud accounting and AI, a relatively less addressed topic in the accounting literature. Although previous research has addressed cloud computing and artificial intelligence separately, this study uniquely explores how their integration is fundamentally transforming both accounting practices and the profession as a whole. The study highlights the potential of AI-enriched cloud platforms to redefine the role of accountants while providing clear direction for future developments in the field. The originality of the paper lies in its visionary analysis of how these technologies will continue to influence the accounting industry in the context of globalization and digitization.
Reports on the topic "Clod Adoption Models"
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.
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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats, such as adversarial machine learning, model poisoning, and API exploitation, while analyzing AI-powered cybersecurity techniques for threat detection, anomaly prediction, and zero-trust security. The study also examines the role of cryptographic solutions, including homomorphic encryption, federated learning security, and post-quantum cryptography, in safeguarding AI models and data integrity. By integrating AI with cutting-edge cybersecurity strategies, this research aims to enhance resilience, compliance, and trust in AI-driven infrastructures. Future advancements in AI security, blockchain-based authentication, and quantum-enhanced cryptographic solutions will be critical in securing next-generation AI applications in cloud and edge environments. Keywords: AI security, adversarial machine learning, cloud computing security, edge computing security, zero-trust AI, homomorphic encryption, federated learning security, post-quantum cryptography, blockchain for AI security, AI-driven threat detection, model poisoning attacks, anomaly prediction, cyber resilience, decentralized AI security, secure multi-party computation (SMPC).
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Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.
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Construction and concrete production are time-sensitive and fast-paced; as such, it is crucial to monitor the in-place strength development of concrete structures in real-time. Existing concrete strength testing methods, such as the traditional hydraulic compression method specified by ASTM C 39 and the maturity method specified by ASTM C 1074, are labor-intensive, time consuming, and difficult to implement in the field. INDOT’s previous research (SPR-4210) on the electromechanical impedance (EMI) technique has established its feasibility for monitoring in-situ concrete strength to determine the optimal traffic opening time. However, limitations of the data acquisition and communication systems have significantly hindered the technology’s adoption for practical applications. Furthermore, the packaging of piezoelectric sensor needs to be improved to enable robust performance and better signal quality. In this project, a wireless concrete sensor with a data transmission system was developed. It was comprised of an innovated EMI sensor and miniaturized datalogger with both wireless transmission and USB module. A cloud-based platform for data storage and computation was established, which provides the real time data visualization access to general users and data access to machine learning and data mining developers. Furthermore, field implementations were performed to prove the functionality of the innovated EMI sensor and wireless sensing system for real-time and in-place concrete strength monitoring. This project will benefit the DOTs in areas like construction, operation, and maintenance scheduling and asset management by delivering applicable concrete strength monitoring solutions.