IT Landscape Research Articles

The Negative Impacts of Cloud Migration and Redesign of Hybrid Clouds: The mitigation techniques

Cloud computing has revolutionized the IT landscape by offering scalable, efficient, and cost-effective solutions. However, migrating to the cloud and redesigning hybrid cloud architectures can come with significant challenges. While the benefits of cloud adoption are well-documented, the negative impacts and issues must also be considered to ensure a smooth transition and sustainable operation. Keywords: SOA, Cloud computing, Mitigation techniques, Cloud adoption

Mapping the Scientific Landscape of Knowledge Management in IT SMEs: A Bibliometric Analysis

This study embarks on a comprehensive bibliometric analysis to elucidate the intricate relationship between knowledge management capabilities and perceived performance within information technology small and medium-sized enterprises (IT SMEs). Utilizing data from the Web of Science and Scopus databases, this research meticulously examines occurrences, word frequencies, and clustering analyses to identify pivotal thematic areas influencing IT SMEs. By employing advanced tools such as RStudio software and the Biblioshiny application, the study dissects average citations per year, presenting a dynamic view of research impact and evolving significance in the domain. Authorship dynamics are explored through Lotka’s law, and geographic contributions are analyzed, highlighting the global and collaborative essence of knowledge management research. Factorial analysis further reveals layered dimensions of research trends, offering guidance for researchers and practitioners in crafting nuanced strategies. The collective insights underscore the paramount role of knowledge management in enhancing IT SMEs’ performance and competitive edge, marking a significant stride toward understanding and implementing effective knowledge management strategies in the rapidly evolving IT landscape.

Digital Financial Development and Commercial Bank Stability

In today's economically globalized and rapidly evolving IT landscape, digital finance has emerged as a key driver in the financial sector. This research evaluates the stability of commercial banks by analyzing their profitability and risk-taking capacity, while also exploring the effects of digital financial development (DFD) on this stability. The outcomes suggest that DFD enhances both profitability and risk-taking capacity of commercial banks, ultimately strengthening their overall stability. Notably, operational efficiency plays a facilitating role in this process. Additionally, the study uncovers regional and size-based differences in the impact of DFD on commercial bank stability. Upon conducting robustness and endogeneity checks, the findings remain consistent, affirming the universal applicability and credibility of digital finance in bolstering commercial bank stability. These discoveries provide essential theoretical support and practical advice for strategic planning and policy-making in the digital finance era for commercial banks.

Cloud Computing Security

Cloud computing has transformed the IT landscape by providing scalable resources and services over the internet. However, this paradigm shift raises important security issues that need to be addressed to ensure data integrity, privacy and availability. This summary provides an overview of the primary security challenges in cloud computing, including data breaches, unauthorized access rights, and shared infrastructure vulnerabilities. It examines the various strategies and technologies used to mitigate these risks, such as encryption, multi-factor authentication and robust monitoring systems. In addition, he examines the role of compliance and standards in improving cloud security. By reviewing the theoretical and practical aspects of cloud security, this summary aims to highlight current efforts and future directions in fortifying cloud computing environments against emerging threats. Keywords — Cloud Computing, scalable, security issues, shared infrastructure, data breaches.

Refining the Scrum Paradigm: A Comprehensive Study of Software Development Practices (2020-2023)

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software production processes discussed herein are grounded in research conducted between 2020 and 2023, encompassing insights from leading Russian, European, and global IT companies. This research underscores a significant transformation in IT business practices, reflecting a shift towards new benchmarks for Scrum team efficiency. These benchmarks emphasize the data-driven formalization of production models, automation facilitated by AI tools, and noticeable cost optimization within engineering teams, which collectively align with the evolving demands of the modern IT landscape. The article details a series of management strategies designed to adapt to these shifts, including the formalization of sprint goals and processes within Scrum, management of technical debt, and the cost-efficient organization of development teams.

Optimizing IT Project Management in Ukraine's Aviation Sector: Challenges, Opportunities, and Strategic Insights

The Ukrainian aviation industry is undergoing digital transformation; however, the pace remains behind global and European standards due to several challenges. These include limited funding, a lack of skilled IT professionals, and a slow rate of modern technology adoption. The research, titled "Optimizing IT Project Management in Ukraine’s Aviation Sector: Challenges, Opportunities, and Strategic Insights," addresses the urgent need for improvements in IT project management to enhance efficiency, competitiveness, and technological advancement within the aviation sector in Ukraine. This article analyzes the sector's current challenges, including insufficient government and private sector investment, internet infrastructure issues, and a shortage of IT specialists. It also identifies opportunities in areas like automation, digitization, and the potential for public-private collaborations. The study's primary objective is to develop and evaluate an optimal IT project management framework tailored to Ukraine’s aviation industry. This framework aims to optimize resource usage, integrate modern technologies like AI, automation, and cybersecurity, and improve global competitiveness. Furthermore, the research offers a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of Ukraine’s aviation IT landscape, benchmarking it against European standards. A substantial gap exists between Ukraine and Europe regarding IT investment and automation, with European countries leading in adopting AI-driven systems, enhanced cybersecurity, and automated business and customer service processes. To bridge this divide, the study proposes an optimized IT project management model focused on strategic priorities such as investment in skill development, strengthening public-private partnerships, enhancing cybersecurity, implementing agile work methods, and supporting innovation through government initiatives. In conclusion, the study underscores that enhancing IT project management in Ukraine’s aviation industry is crucial for maintaining global competitiveness and improving operational efficiency. The proposed model offers actionable insights to address current challenges while capitalizing on new opportunities, thereby ensuring resilience in the face of ongoing global digitization and technological advancements.

Variability Modeling in Enterprise Architecture Management: Case Study and Survey on Existing Approaches

Managing and dealing with variability in business processes and the IT landscape is a common challenge in the everyday practice of most enterprises and organizations. Recent studies have observed that digital transformation, Internet-of-Things solutions and the introduction of artificial intelligence cause changes and challenges in enterprises that simultaneously require variability on several levels, for instance, business processes, data architecture, and services. Enterprise architecture models are considered a suitable way to visualize and manage dependencies between different levels of an enterprise. However, the management of variability in enterprise architectures has not received much attention in scientific research. This article aims to contribute to a better understanding of future investigation needs. Using a systematic literature analysis, the article structures the existing research work in the field and examines real-world challenges of variability based on a case study. We argue that there is a need for new constructs in enterprise architecture models that allow for expressing dependencies between variations on different enterprise architecture layers.

CURRICULUM DEVELOPMENT FOR LIBRARY AND INFORMATION SCIENCE

With the changing IT landscape and shifts in user needs, there is a massive need for a curriculum for education in library and information science that could stay updated and dynamic. This paper would try to propose a basic framework for curricula that would imbibe within its core competencies information management, digital literacy, and critical thinking, as well as house or embrace these emerging trends related to data science, artificial intelligence, and open access. The main emphasis areas are a mix of theoretical foundations and practical applications that may offer ample opportunities for hands-on learning through internships, community engagement, and collaborative projects in preparing graduates to serve diverse populations, advocate for information equity, and pay attention to the evolving roles of libraries in society. The development process of the curriculum involves stakeholders-the academic professional and the practitioner or expert, and the community members-ensuring that it will reflect and respond to the needs of the field. In so doing, by promoting a culture of lifelong learning and innovation, this curriculum should prepare future information professionals for the landscape of the future of library and information services. This approach, therefore, shall not only improve the education experience of LIS students but also add value to this evolving pattern wherein libraries shall be at the centre of knowledge, culture, and community endeavours

THE AI REVOLUTION IN IT EDUCATION

Artificial intelligence (AI) is rapidly transforming the IT landscape, demanding a paradigm shift in IT education. This paper explores the impact of AI on the educational process for aspiring IT specialists. The goals of transformation. Shifting focus of the curriculum is transitioning from a purely technical focus to preparing students for human-AI collaboration. Develop essential skills in data science, machine learning, and understanding the ethical implications of AI become central to the IT education framework. Orientation on lifelong learning for create adaptability and continuous learning skills to navigate the evolving field. Forming soft skills in communication, collaboration, and creativity gain prominence alongside technical expertise. The benefits are job market preparedness with graduates equipped by AI skills professionals become more competitive in the workforce. Enhanced problem-solving with understanding and applying AI tools improves students’ ability to analyze problems and develop innovative solutions. Increased Efficiency by leverage AI to automate tasks, optimize workflows, and achieve greater productivity. Fostering innovation with Integrating AI into the curriculum encourages students to explore new applications of AI technology. AI revolution create some challenges. Educational institutions need to adapt their curriculum and train faculty to effectively deliver AI-related content. Ensuring all students have equal access to the resources required for learning AI is crucial. Integrating discussions about AI ethics prepares students to use AI responsibly. The results are the integration of artificial intelligence (AI) in IT education is transforming the landscape of learning and teaching. This revolution is reshaping how students engage with content, how educators deliver instruction, and how institutions operate. Here are the key areas where AI is making a significant impact in IT education.

Improving IT Assets Management with ITIL 4 Framework

IT Asset Management (ITAM) is crucial for organizations as it enables efficient utilization of IT resources, cost reduction, and risk mitigation. Horangi, a startup company, recognizes the importance of asset optimization and aims to enhance its ITAM service. To achieve this, researcher conducts research to identify a suitable framework as a solid foundation. ITIL 4, a widely adopted IT service management framework, is chosen, along with the Continual Service Improvement and Service Value Chain models. These models provide guidelines and recommendations to identify weaknesses and improve current processes while enabling continuous improvement in response to the dynamic IT landscape. The research employs a qualitative approach, utilizing in-depth interviews, document research, and the ITIL 4 guidebook. The study aims to provide recommendations and a foundation for developing guidelines and workflows in ITAM within the company. However, a limitation of this research is not much research related to ITIL 4 in ITAM area and cannot proceed until the implementation of recommendations due to funding constraints and approval processes. To overcome this limitation, it is suggested that future research includes the implementation process to obtain more optimal evaluation results.

Organizational Learning Culture and Firm Performance: The Mediating Role of Learning Agility

This article delves into the critical role of learning agility in the Indian context. It specifically explores how an organizational learning culture (OLCu) fosters an employee’s ability to learn and adapt—their learning agility—which ultimately translates into improved firm performance. Employing a cross-sectional research design, the study gathers data through self-administered surveys from over 313 employees working in hardware service firms within the Indian IT sector. Path analysis is then utilized to analyse the collected data and unveil the underlying relationships. The findings unveil a fascinating interplay between OLCu, learning agility and firm performance. The study suggests that OLCu acts as a catalyst, fostering a work environment that encourages continuous learning and development. This, in turn, fosters employee learning agility. However, the research also reveals that learning agility plays a mediating role, meaning it partially explains the effect of OLCu on firm performance. In simpler terms, while a strong OLCu is crucial, it is the employee’s enhanced learning agility that truly unlocks the door to improved firm performance. This research offers valuable insights that can empower organizations in the Indian IT landscape. By nurturing a vibrant OLCu, companies can equip their employees with the tools and support they need to become more learning agile. This agility translates into a workforce that can readily adapt to new technologies, evolving customer demands, and a dynamic business environment. Consequently, firms can expect greater innovation, improved service delivery, and, ultimately, a significant boost in overall performance. This research also contributes significantly to the existing body of knowledge. It adds a fresh perspective to organizational learning theory by highlighting the crucial role of learning agility as a bridge between OLCu and firm performance, particularly in the Indian IT sector.

Practices and Challenges of Recruitment in IT Industry

One of the most The purpose of this thesis is to delve into the practices and challenges of recruitment within the IT industry, offering a comprehensive analysis of the strategies employed by recruiters and the obstacles they encounter. By examining the prevailing recruitment landscape, this research seeks to shed light on the complexities of talent acquisition in the IT sector and provide actionable insights for enhancing recruitment effectiveness. The IT industry is characterized by its reliance on highly skilled professionals who possess specialized technical expertise. As such, attracting and retaining talent with the requisite skills and experience is essential for driving innovation, meeting project deadlines, and delivering high-quality products and services. However, the demand for skilled IT professionals often outstrips the available supply, leading to talent shortages and intense competition among employers. To address these challenges, recruiters in the IT industry employ a variety of strategies, ranging from leveraging advanced recruitment technologies and data analytics to enhancing employer branding and implementing agile recruitment methodologies. By understanding the prevailing recruitment practices and challenges within the IT industry, organizations can develop tailored strategies to attract and retain top talent, thereby driving organizational growth and competitiveness. Through a combination of literature review, empirical research, and real-world case studies, this thesis aims to provide a comprehensive understanding of the practices and challenges of recruitment in the IT industry. By synthesizing theoretical insights with practical examples, this research seeks to offer valuable insights and actionable recommendations for recruiters, HR professionals, and organizational leaders seeking to optimize their recruitment efforts in the rapidly evolving IT landscape.

A Collaborative Filtering-Based Recommender Systems approach for Multifarious applications

Recommender systems are crucial in today's IT landscape, enhancing user experiences in various industries. Collaborative filtering (CF) is a key approach, using historical interaction data to predict user preferences. This paper presents CF advancements, with a focus on latent factor models that represent users and items in a compact feature space. It also addresses sparsity issues with techniques like neighborhood-based approaches and content augmentation. Contextual CF, which incorporates temporal and contextual dynamics, is explored through methods like matrix factorization with side information and session-based recommendation. Evaluation metrics such as MAE and RMSE, along with novel ranking-based metrics, provide a comprehensive assessment of recommendation quality. In this paper we outline cutting-edge CF techniques, showcasing their mechanisms and applications and were able to achieve accurate recommendations of almost 90% using MAE and RMSE metrics. By integrating latent factor modeling, sparsity mitigation, contextual enrichment, and advanced evaluation, it paves the way for the next generation of personalized recommendation systems, tailored to meet evolving demands in modern information environments.

A STUDY ON ARTIFICIAL INTELLIGENCE IN HR ANALYTICS

The phenomenon of AI has been widely studied in several areas. This paper is based on the use of artificial intelligence and its impact on HRM due to technological advancement in IT landscape. At present almost all companies are implementing AI in their functional areas to increase efficiency of employees in organization. AI role in HR domain starts with recruitment till performance appraisal of employees. The aim of the present research is to examine the relationship between artificial intelligence and Human resource functions in IT industry in Delhi/NCR location weather this relationship is moderated by innovativeness and ease of use at HR operations. This study was conducted among 115 HR professionals at various IT sector in Delhi/NCR region. A multiple regression method was used to test hypothesis and confirmed positive relationship between these two factors establishing about the increased use of AI at work results better HR functional performance. However AI has significant relationship with innovativeness and also with ease of use which reflects AI effects HR with innovations and ease of use. This study will give insights of Artificial intelligence which is coming as anew revolution in industry with new name Industry4.0. Key words: Artificial Intelligence , HR operations, Innovation

User-defined weight based multi objective task scheduling in cloud using whale optimization algorithm

Cloud computing has revolutionized the IT landscape, providing scalable, on-demand computing resource. For efficiency in cloud environments, it is essential for modern organizations, where objectives often include cost reduction, resource consumption, operational efficiency and load balancing etc, to implement multi objective solutions. Single-objective systems can fail in handling dynamic and diverse workloads. This study introduces the Multi-Objective Whale Optimization-Based Scheduler (WOA-Scheduler) for efficient task scheduling in cloud computing environments. Leveraging the Whale Optimization Algorithm (WOA), the scheduler optimizes multiple objectives simultaneously, including cost, time, and load balancing. A key feature of the WOA-Scheduler is its flexibility in accommodating user-defined weights for different objectives, allowing organizations to prioritize optimization goals based on their specific requirements. Comparative analysis across various cloud environments demonstrates the superiority of the WOA-Scheduler over traditional single-objective approaches. By achieving a better balance between cost, time, and resource utilization, the scheduler enhances overall performance. Moreover, its multi-objective optimization capabilities enable dynamic adjustment of task assignments in response to changing workload conditions, ensuring efficient resource utilization and workload distribution. Overall, the WOA-Scheduler offers a customizable and adaptable solution for addressing the complexities of modern cloud services, ultimately improving performance and efficiency.

Driving Cloud Cost Efficiency: A Collaborative FinOps Approach for Cloud-Native SaaS

The cloud computing paradigm has revolutionized the IT landscape, offering scalability, flexibility, and agility. However, the variable cost model of the cloud can lead to unanticipated expenses if not managed proactively.

Design Model for the Digital Shadow of a Value Stream

The value stream method, a key tool in industry to analyze and visualize value streams in production, aims to holistically optimize process steps, reduce waste, and achieve continuous material flow. However, this method primarily relies on data from a single on-site inspection, which is subjective and represents just a snapshot of the process. This limitation can lead to uncertainty and potentially incorrect decisions, especially in industries producing customer-specific products. The increasing digitization in production offers a solution to this limitation by supporting the method through data provision. The concept of the digital shadow emerges as a key tool that systematically captures, processes, and integrates necessary data into a model to enhance traditional value stream mapping. This addresses the method’s shortcomings, especially in heterogeneous IT landscapes and complex value streams. To effectively implement the digital shadow this study identifies concepts of digital shadows and their key components and evaluates them for their relevance in industrial environments using an expert study. Based on the results, a design model is defined. This model entails guidelines to support companies with the practical implementation of the digital shadow of a value stream. Lastly, the model is evaluated on a realistic value stream in a learning factory.

Information-based Integration of Life Cycle Assessment into IT Landscapes of Manufacturing Companies

Life Cycle Assessment (LCA) is one of the fundamental methods to facilitate effective decisions in sustainability transformation. However, the current implementation of LCA is inefficient due to detached software applications and manual data imports. Utilizing data from existing information systems offers the potential for a significant increase in efficiency. Existing approaches focus on prototypical implementations with a high level of detail but low transferability, or approaches only consider integration at the system level, whereby practical applicability is reduced. Therefore, this paper presents an information-based framework for integrating LCA software into the existing IT landscape of manufacturing companies with focusing on generic functions and a detailed information flow. The generic approach enables transferability, while the detailed information flows allow practical applicability.

Building a Network Design and Implementation Framework of a Campus Area Network for the Mariano Marcos State University

A framework for network design and implementation is imperative to ensure value in the delivery of network services. Frameworks serve as guides in identifying value propositions to address the changing demands of the organization’s stakeholders. Frameworks prescribe efficient methods and appropriate tools that can be used to ensure that the implementation of a technological innovation addresses the demands, regardless of the changing IT landscape. The demand to deliver an efficient network service requires that the network have optimized levels of scalability, availability, performance, security, and other desirable network goals. These goals have to be prioritized depending on the goals of the organization. A framework for identifying priority service delivery components must be in place in order for the governing body and IT managers of the organization to objectively prescribe appropriate technological solutions to employ. The development of the proposed framework is patterned on Plan Design Implement Operate Optimize network life cycle, anchored on the principles of the service value chain of ITIL and the principles of IT governance using the goals cascade of COBIT. A review of existing studies was carried out to determine the prevailing technical goals and technology enablers that are peculiar to IT service management in a campus environment, specifically the delivery of computer network service. A framework was drawn to serve as a guide to achieving network design goals that are aligned with business goals, compliant with standards, and provide value to customers of state universities and colleges like Mariano Marcos State University.

Transitioning Agility: Extracting Insights from the IT Landscape, Unveiling Lessons for Organizations from Startups to Corporates

Transitioning Agility: Extracting Insights from the IT Landscape, Unveiling Lessons for Organizations from Startups to Corporates