Adoption Of Cloud Technology Research Articles

Artificial Intelligence in Organizations in Colombia

The implementation of Artificial Intelligence (AI) in organizations in Colombia has been increasing in recent years, and it is expected to continue growing in the near future. Companies in Colombia have begun to use AI in different areas, such as data analysis, customer service, process automation, and decision-making. Among the strategies applied for the implementation of AI in organizations is the adoption of cloud technologies, the use of machine learning algorithms, collaboration with technology providers and the formation of specialized teams. However, the implementation of AI in organizations has also raised concerns regarding the impact on the employability of people. Although AI is expected to improve efficiency and productivity, some tasks and jobs are also expected to be damaged by automation. It is necessary that companies in Colombia adopt policies and strategies that allow a fair transition towards the implementation of AI, to minimize the negative impact on employability and to take advantage of the benefits that this technology can offer.

The Impact of Cloud Technology on Entrepreneurship in the Hospitality Industry

Purpose: Cloud technology has significantly transformed modern business operations, particularly within the hospitality industry, by offering scalable, cost-effective, and flexible computing solutions. This paradigm shift has democratized access to advanced tools and services, thereby enhancing operational efficiency and competitive capability for entrepreneurs. This integrative paper examines the impact of cloud computing on entrepreneurship within the hospitality sector, focusing on operational efficiency, cost structures, scalability, and innovation. Materials and Methods: By employing the Resource-Based View (RBV) and Innovation Diffusion Theory (IDT), this integrative study provides a framework for understanding how cloud technology enhances competitive advantage and adoption patterns. Findings: Through a comprehensive review of literature and case studies, this study identifies and addresses critical research gaps, including the limited empirical evidence on the long-term effects of cloud technology on business growth, sustainability, and competitive advantage. It also highlights the need for further exploration of regional differences in cloud technology adoption, particularly in emerging markets, and underscores the insufficient exploration of security and privacy concerns, advocating for more detailed research on cloud security models. Moreover, the study seeks to bridge gaps in understanding how cloud technology drives innovation in service delivery and customer experience. Implications to Theory, Practice and Policy: Policy contributions from this study include recommending targeted guidelines for secure cloud adoption, strategies for addressing regional disparities in cloud technology implementation, and policy frameworks that support innovation while safeguarding data privacy. Recommendations for entrepreneurs include strategically adopting cloud solutions, investing in staff training, and continuously monitoring cloud-related expenses. This study ultimately contributes to a nuanced understanding of cloud technology’s role in shaping entrepreneurial practices and policies within the hospitality sector.

Nonlinear Analysis of EDF Scheduling Framework for Resource Distribution in Cloud Computing

In modern times, the field of information technology is significantly shifting towards cloud computing. This innovative technology involves the permanent storage of resources on servers, which clients access via the internet. Typically, a cloud comprises a collection of resources known as virtual machines, capable of managing both computational tasks and storage needs. As the demand for cloud services continues to rise, the scheduling of these resources presents a considerable challenge. Scheduling refers to the workflow management necessary to complete tasks within the system. An efficient scheduler adapts its scheduling policy dynamically in response to changing conditions and task requirements. Cloud computing represents a recently developed technology where resources, whether physical or virtual machines, are permanently stored on servers and accessed by users through the internet. The cloud offers various service models, including Platform as a Service (PaaS), Software as a Service (SaaS), and Infrastructure as a Service (IaaS). In this context, IaaS refers to a set of resources, including virtual machines, that provide computational and storage services. Given the increasing adoption of cloud technology, resource scheduling has become a critical task. Hence, optimizing the scheduling of requests to ensure the best utilization of cloud resources is essential. This paper introduces a Nonlinear Analysis of EDF Scheduling Framework for resource allocation that considers deadlines and processing times when assigning resources to specific jobs. The performance metrics, including Average Turnaround Time, Average Waiting Time, and Average Deadline Violation, show a significant improvement when compared to traditional scheduling models such as First-Come, First-Served (FCFS), the Shortest Job First (SJF), and Simple Earliest Deadline First (EDF) models.

The impacts of digital technology on contemporary accounting

Accounting is currently undergoing a digital revolution, replacing manual methods with integrated and efficient solutions. This study investigated the impact of digital technologies on contemporary accounting, driven by the spread of the internet and technological advances. Using a comprehensive bibliographic review, scientific articles, journals from Capes, Google Scholar, Scopus, CFC guidelines and platforms such as REDEsim, JUCEA and GOV.br were explored, with keywords such as “information technologies”, “accounting tools” and “accounting software”. Data analysis, carried out using reading techniques, revealed patterns and trends in the digital transformation of accounting, highlighting advances and essential tools for individuals and organizations. Advances such as the automation of accounting operations and the adoption of cloud technology have been essential, as they have provided greater efficiency, fraud prevention and precision in organizational obligations, positively shaping the current business environment.

The intelligent prediction and assessment of financial information risk in the cloud computing model

cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user. This report explores the intersection of cloud computing and financial information processing, identifying risks and challenges faced by financial institutions in adopting cloud technology. It discusses the need for intelligent solutions to enhance data processing efficiency and accuracy while addressing security and privacy concerns. Drawing on regulatory frameworks, the report proposes policy recommendations to mitigate concentration risks associated with cloud computing in the financial industry. By combining intelligent forecasting and evaluation technologies with cloud computing models, the study aims to provide effective solutions for financial data processing and management, facilitating the industry's transition towards digital transformation.

Unleashing the Power of DevOps : Revolutionizing Software Development Practices

The integration of development and operations, popularly known as DevOps, has emerged as a transformative force in modern software development practices. This review paper delves into the multifaceted landscape of DevOps, exploring its principles, methodologies, and the profound impact it has on software development processes. Through an examination of historical evolution, cultural shifts, and technological advancements, the paper elucidates how DevOps fosters collaboration, automation, and continuous improvement across the software development lifecycle. Furthermore, it investigates the challenges and opportunities associated with implementing DevOps practices, including cultural barriers, security considerations, and the adoption of cloud technologies. By synthesizing insights from industry best practices, case studies, and academic research, this paper provides a comprehensive overview of the principles and practices that underpin the successful adoption of DevOps. Ultimately, it underscores the potential of DevOps to revolutionize software development, empowering organizations to deliver high-quality software products with speed, efficiency, and agility.

Unleashing the Power of Serverless Architectures in Cloud Technology: A Comprehensive Analysis and Future Trends

This research paper delves into the transformative impact of serverless architectures on cloud technology adoption, emphasizing improved scalability, cost-efficiency, and agility. Using a quantitative approach with a survey of 300 organizations, the findings reveal a significant 25% reduction in infrastructure costs for those fully embracing serverless computing compared to traditional cloud architectures. Additionally, serverless adopters experience a noteworthy 30% increase in scalability and a remarkable 15% reduction in time-to-market for new applications, highlighting the agility and rapid development capabilities associated with this paradigm. The study also addresses security concerns, indicating a 10% reduction in security incidents for organizations with robust serverless security practices. These quantitative results provide empirical evidence and valuable insights for businesses aiming to optimize their cloud technology strategies and leverage the tangible benefits of serverless architectures.

Digital Transformation: the experience of Canada, Singapore and South Korea

The timely and effective implementation of state programs in the field of digitization leads to technological and economic growth. The development of digitization demonstrates a shared vision on how to utilize information technology to support the socio-economic development of society, with a particular focus on the welfare of specific groups. In the context of the active formation of the global digital environment, the volume of digital technologies providing information, services, and infrastructure is increasing. Currently, many countries do not seek to emulate or fully adopt the data policies and practices of other nations. Each country aims to be a leader in this field and to possess a unique and distinctive system in the digital space. Canada, Singapore, and South Korea have developed their own national approaches to data management in the digital world. For instance, Canada's experience includes the adoption of cloud technologies, artificial intelligence, 5G technologies, and the creation of a positive ecological image for organizations. Singapore, in turn, has sought not only to regulate some areas of public life through "smart" solutions but also to integrate the potential of the state, private sector, and business to improve quality of life, institutional performance, and service delivery. South Korea has placed special emphasis on providing government services that address not only the social sector but also the daily needs, education, leisure, and other requirements of its citizens. This article examines the experiences of South Korea, Singapore, and Canada in addressing issues of digitization.

A Study of Organizational Changes that Occur to the Adoption of Cloud Computing Technologies in Organizations: Ministry of Communication and Information Technology in Afghanistan

Cloud computing services such as file storage and big data analysis provide cost effective, secure, flexible and reliable services to their users; however, their advantages, the adoption of many cloud services is still limited, and many organizations are unsure of adopting cloud technologies for various reasons this study using a systematic review of the factors influencing organizational regarding the adoption of cloud computing technologies, categorize and compare these factors and show that much of the literature has highlight the technical aspects of technology adoption, such as cloud security further show that factors such as top management support, relative advantage, cloud complexity, and competitive pressure are the most important factors affecting organizational attitudes toward cloud technology adoption. Furthermore, analysis of interview data collection techniques showed that cloud computing technologies affect the structure, size, tasks and work processes of organizations. These variables change at different levels. The findings showed that IT jobs have the greatest impact on cloud computing readiness and performance. Additionally, the results showed that organizations that adopt cloud technologies integrated some departments, increased work speed, removed some duplicated steps, overcame management changes, centralized IT works and removed some traditional hierarchical parts.

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

This study focuses on the potential application of Azure cloud computing platforms in Cross-border E-commerce operations, especially in Cross-border E-commerce from China to Southeast Asia. First, we review the basic concepts and characteristics of the Azure cloud computing platform and its potential advantages in e-commerce operations, including improving efficiency, reducing costs, and supporting innovation. Then, we analyze the specific application of Azure's leading cloud technology tools, such as Azure Data Factory, Azure Machine Learning, Azure Databricks, and Azure Bot Service, in Cross-border E-commerce operations. And how to use these tools to optimize Cross-border E-commerce operations. In addition, we build an application framework of Azure in Cross-border E-commerce operation optimization, aiming to help Cross-border E-commerce enterprises make reasonable decisions in cloud technology adoption. In the final section, we summarize the main findings and contributions of this study, point out the limitations of the study, and make recommendations for future research. We expect this study to provide a reference for Cross-border E-commerce enterprises to adopt cloud technology, improve operational efficiency and reduce operating costs, and provide theoretical support for future related research.

Towards an Improved Taxonomy of Attacks Related to Digital Identities and Identity Management Systems

Digital transformation with the adoption of cloud technologies, outsourcing, and working-from-home possibilities permits flexibility for organizations and persons. At the same time, it makes it more difficult to secure the IT infrastructure as the IT team needs to keep track of who is accessing what data from where and when on which device. With these changes, identity management as a key element of security becomes more important. Identity management relates to the technologies and policies for the identification, authentication, and authorization of users (humans and devices) in computer networks. Due to the diversity of identity management (i.e., models, protocols, and implementations), different requirements, problems, and attack vectors need to be taken into account. In order to secure identity management systems with their identities, a systematic approach is required. In this article, we propose the improved framework Taxonomy for Identity Management related to Attacks (TaxIdMA). The purpose of TaxIdMA is to classify existing attacks, attack vectors, and vulnerabilities associated with system identities, identity management systems, and end-user identities. In addition, the background of these attacks can be described in a structured and systematic way. The taxonomy is applied to the Internet of Things and self-sovereign identities. It is enhanced by a description language for threat intelligence sharing. Last but not least, TaxIdMA is evaluated and improved based on expert interviews, statistics, and discussions. This step enables broader applicability and level of detail at the same time. The combination of TaxIdMA, which allows a structured way to outline attacks and is applicable to different scenarios, and a description language for threat intelligence helps to improve the security identity management systems and processes.

Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions through Machine Learning Tools in Cloud Computing Environment

Cloud computing has revolutionized how industries store, process, and access data. However, the increasing adoption of cloud technology has also raised concerns regarding data security. Machine learning (ML) is a promising technique to enhance cloud computing security. This paper focuses on utilizing ML techniques (Support Vector Machine, XGBoost, and Artificial Neural Networks) to progress cloud computing security in the industry. The selection of 11 important features for the ML study satisfies the study’s objectives. This study identifies gaps in utilizing ML techniques in cloud cyber security. Moreover, this study aims at developing a practical strategy for predicting the employment of machine learning in an Industrial Cloud environment regarding trust and privacy issues. The efficiency of the employed models is assessed by applying validation matrices of precision, accuracy, and recall values, as well as F1 scores, R.O.C. curves, and confusion matrices. The results demonstrated that the X.G.B. model outperformed, in terms of all the matrices, with an accuracy of 97.50%, a precision of 97.60%, a recall value of 97.60%, and an F1 score of 97.50%. This research highlights the potential of ML algorithms in enhancing cloud computing security for industries. It emphasizes the need for continued research and development to create more advanced and efficient security solutions for cloud computing.

Enabling memory access isolation in real-time cloud systems using Intel’s detection/regulation capabilities

The increasing interest in adopting cloud technologies for Industry 4.0 and mixed-criticality environments is paving the way for compelling new opportunities and challenges. However, cloud deployments use multicore processors that introduce interference between co-executing applications on different cores due to contention in shared resources, such as the memory subsystem. Such interference can cause critical applications to miss their deadlines.To enable the co-execution of critical and non-critical applications on the same multicore processor, we propose an approach that guarantees memory access time isolation for critical cores, while not jeopardizing the memory bandwidth of the non-critical ones. We prove the viability of our approach using Intel’s resource director technology for memory access detection and regulation. Experiments show that queue occupancy is an excellent metric to estimate the number of interfering cores co-accessing the memory. We also assess the indirect memory bandwidth limitation achievable by applying Intel’s Memory Bandwidth Allocation technology.

Cloud Infrastructure and Enterprise IT Environment

Cloud infrastructure has emerged as a game-changer for the enterprise IT environment in Nigeria. As the country's businesses continue to grow and adapt to the digital era, cloud computing offers a scalable, flexible, and cost-effective solution for managing data, applications, and services. The adoption of cloud technology has the potential to revolutionize the way Nigerian enterprises operate, streamlining processes, enhancing collaboration, and improving overall efficiency. The study, however, investigated the effect of cloud infrastructure on the enterprise IT environment in Nigeria. The study used cloud infrastructure as an independent variable, proxied using software as a service (SAAS), platform as a service (PAAS), and infrastructure as a service (IAAS). The dependent variable is enterprise IT environment. The study adopted a survey research design using a simple random sampling technique to distribute about 121 copies of questionnaires among various IT departments in Nigeria. A validity and reliability test were carried out on 10% copies of the questionnaire and the result was reliable at 0.7 and valid. The study's main objective was analyzed using descriptive and inferential methods of statistics. The result found that cloud infrastructure has a significant impact on enterprise IT environment. The study, therefore, suggested that adopting cloud infrastructure offers numerous advantages, enabling companies to optimize their IT resources, access cutting edge, and swiftly adapt to changing market demands

Factors influencing adoption of cloud computing services in HEIs: a UTAUT approach based on students' perception

The use of cloud computing services in higher education institutions (HEIs) is gaining momentum. From a stakeholder analysis perspective, this study aims to advance the understanding of students' intentions to adopt cloud technologies. By extending the unified theory of acceptance and use of technology (UTAUT) framework, we have tried to investigate the interplay and influence of students' cognitive factors in explaining their perception towards cloud adoption. The data sample consisted of 190 undergraduate students from Indian educational institutes. The findings revealed that social influence, performance expectancy and facilitating conditions are positively related to the attitude towards cloud adoption. Moreover, the positive effect of facilitating conditions on students' attitude is mediated by perceived trust. It was also found that performance expectancy of cloud-enabled learning mediates the effects of social influence on students' attitude towards the latest technology. The present study has profound implications on HEI's change management plans and can design ways for the seamless integration of learning functions using cloud technologies.

Comparing the Cost of IaaS and CaaS Services

Cloud computing environments allow businesses to deploy applications in a fast and scalable way. Infrastructure-as-a-service (IaaS) and container-as-a-service (CaaS) models can be adopted for the deployment of cloud-based applications. The current paper presents a specific near-real-world scenario of a cloud-based application, deployed by the two aforementioned cloud models. The deployment cost differs between the cloud models and relies on the number of utilized resources, which is driven by the user demand. Since the cost is a major importance factor that finally determines the adoption of cloud technology, it is challenging to estimate and examine the cost of each proposed approach. This research can help cloud computing professionals pick a model that meets their goals and budget. It's also useful for cloud cost analysis. The corresponding costs of the two deployments are estimated based on the pricing policies of major providers, Amazon, Google, and Microsoft.

The Role of Cloud Computing on the Governmental Units Performance and EParticipation (Empirical Study)

Abstract Cloud computing is an effective technology for businesses and government sections to enhance their performance. In many modern countries adoption of cloud computing improves its success in reducing the costs with high level of eservices offered to citizens. However, many developing countries are still reluctant to adopt cloud computing and received very little empirical support. This study reviews the literature of this domain and builds a model to examine the main drivers that help decision makers in adoption of cloud technology with e-government sectors. Based on a sample of 326 respondents data analyzed using the Structural Equation Modelling though Smart Partial Least Squares technique. The study revealed that mobility, cost, backup & disaster recovery, scalability & flexibility are the key drivers that significantly affect employees’ intention to adopt cloud computing for governmental units which in turn positively influence the effectiveness of e-participation Keywords: Cloud computing, E-government, E-participation, Scalability, Mobility, Backup & Disaster recovery.

Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems

Adopting e-government services presents numerous challenges for governmental sectors in developing countries. These problems can fail some projects involving e-government. Therefore, a solution is required to address these problems. This paper presents a conceptual model and measurement to identify crucial factors that impact cloud computing technology in e-government to address the issues with e-government. According to the recent studies on technology adoption models, a theoretical model is proposed in this study. Extracting items from the literature and adapting them, creates the measurement scales for the proposed model’s structures. Through the use of face validity, pre-testing, and a pilot study, the authors confirm the scales’ content validity and reliability. The data used for this study were collected by the authors from 40 information technology IT professionals for the pilot study in the top 10 government departments in Libya who are responsible for many IT decisions in e-government. In this study, the authors first examine the reliability of the scale using Cronbach’s alpha and perform exploratory factor analysis to assess the scales’ validity. The data were analyzed using partial least squares structural equation modelling (PLS-SEM). The findings demonstrate that the scale measurements satisfy the standard requirements for the validity and reliability According to previous studies on cloud computing adoption from the IS perspectives, this paper theoretically provides a combination model for investigating the cloud-based implementation services to provide a more comprehensive model and the objective is to develop an empirical instrument for analyzing countries’ e-government adoption of cloud computing.

Cloud Computing and Public Sector Transformation: Revolutionizing Governmental Services and Operations

This research delves into the transformative impact of cloud computing on public sector operations and services, examining its primary focus, methodology, key findings, and overall significance. The study employs a comprehensive analysis of government agencies' adoption of cloud technologies, emphasizing the shift towards efficient and agile service delivery. The methodology involves a combination of case studies, interviews with key stakeholders, and quantitative assessments to gauge the extent of cloud integration. Key findings underscore the substantial benefits accrued by governmental bodies through cloud adoption, including enhanced scalability, costeffectiveness, and improved data accessibility. The research elucidates the role of cloud computing in fostering innovation, streamlining bureaucratic processes, and optimizing resource allocation. Moreover, it investigates the challenges and potential risks associated with the migration to cloud-based platforms, providing a balanced perspective on the implications for security, privacy, and data governance. The significance of this research lies in its contribution to the broader discourse on public sector modernization. By illuminating the tangible advantages and potential pitfalls of cloud computing adoption, the study serves as a guide for policymakers, practitioners, and technology providers involved in governmental transformations. Ultimately, this research contends that cloud computing is a pivotal catalyst for reshaping public sector operations, facilitating a paradigm shift towards more responsive, citizen-centric, and efficient governance

A cloud GIS-based framework implementation in developing countries

Cloud computing technology has successful cost savings, business effectiveness, and higher scalability in various fields, including the government field. The pandemic Covid-19 era has been accelerating the adoption of cloud technology; the enterprises have instructed the employees to work from home to reduce transmission. The cloud-based framework for government in developing countries was developed. However, it was arduous to apply in Indonesia as a developing country, especially in areas where technology infrastructure, human resources, and funding are insufficient. Thus, the study of the cloud implementation framework in developing countries is essential. This paper used the enterprise architecture planning method for designing a cloud GIS-based framework. The developed framework successfully implemented the cloud-based GIS technology in Indonesia with limited ownership and infrastructure of technology, resources, and funding.