George Christopher

• Business Development Manager at Obafemi Awolowo University

This article critically examines how humanitarian discourse in the Swedish press functions as a rhetorical strategy that obscures and neutralizes systemic racism toward the Roma community. By analyzing news articles, editorials, and feature stories, it argues that the dominant media narratives often mask structural discrimination under the guise of...

This review critically examines Natural Language Processing for Corpus Linguistics by Jonathan Dunn, a 2022 publication from Cambridge University Press that aims to bridge the gap between computational methods and linguistic theory. The book offers a comprehensive introduction to applying Natural Language Processing (NLP) techniques in corpus lingu...

This work presents a curated overview of significant achievements in the field of Natural Language Processing (NLP), with a focus on the innovative contributions of Toyin Jude, Akin Alabi, and Ojo Beauty. Their work exemplifies excellence in areas such as machine translation, sentiment analysis, and user-adaptive NLP systems. By blending technical...

Natural Language Understanding (NLU) is a core area of Natural Language Processing (NLP) focused on enabling machines to comprehend and interpret human language in a meaningful way. This paper explores the foundational principles of NLU, the methodologies used to evaluate its effectiveness, and the challenges inherent in modeling linguistic ambigui...

Recent advancements in Natural Language Processing (NLP) are redefining the landscape of human-computer interaction by enabling machines to understand, interpret, and generate human language with unprecedented accuracy and nuance. This paper explores how cutting-edge NLP technologies-such as large language models, conversational agents, and multili...

The evolution of Natural Language Processing (NLP) from basic semantic understanding to complex pragmatic interpretation marks a critical shift in the development of intelligent language technologies. This paper examines the pivotal role of information systems in supporting this progression by providing structured frameworks for data management, kn...

Natural Language Processing (NLP) has experienced rapid and transformative growth over the last decade, fueled by breakthroughs in deep learning, transfer learning, and large-scale language models. These advances have significantly improved machine understanding and generation of human language, enabling applications ranging from machine translatio...

Natural Language Processing (NLP) as a Platform Service represents a significant shift in how organizations access and deploy language understanding capabilities. Instead of building custom NLP systems from scratch, developers and enterprises can now utilize cloud-based, pre-trained, and scalable NLP services offered by major providers like Google...

Natural Language Understanding (NLU) systems rely heavily on high-quality annotated data to function effectively across domains and languages. While large datasets are often collected via crowd-sourcing or automated scraping, these approaches can lead to issues in quality, diversity, and linguistic nuance. Introducing professional linguists into th...

FLAIR is an open-source Natural Language Processing (NLP) framework developed by the Zalando Research team, designed to provide a simple yet powerful interface for applying state-of-the-art NLP techniques. Known for its ease of use, modularity, and strong performance in sequence labeling tasks like Named Entity Recognition (NER) and Part-of-Speech...

As Natural Language Processing (NLP) systems increasingly interact with end-users in tasks such as dialogue generation, summarization, and question answering, ensuring that these systems align with human values, usability expectations, and communication norms becomes vital. Human-Centered Design (HCD) is an interdisciplinary approach that integrate...

The application of Natural Language Processing (NLP) in psychology has grown significantly over the past few decades, influencing research, clinical practices, and mental health interventions. This bibliometric review provides an overview of the impact of NLP in psychology from 1991 to 2023. By analyzing trends in published research, the evolution...

The integration of Large Language Models (LLMs) into data visualization systems offers transformative potential for human-computer interaction. Specifically, the ability of LLMs to perform semantic profiling-interpreting the meaning, intent, and context behind natural language utterances-can significantly improve the automation and personalization...

Jonathan Dunn's Natural Language Processing for Corpus Linguistics offers a timely and insightful intersection of computational linguistics and traditional corpus-based methods. Published by Cambridge University Press in 2022, the book bridges the gap between linguistic theory and practical NLP applications, making it a valuable resource for studen...

The portability of Natural Language Processing (NLP) models across different platforms and environments remains a significant challenge in the field. Achieving NLP portability enables the deployment of language models in diverse contexts, from cloud-based applications to edge devices, making AI-driven language solutions more accessible and scalable...

Large Language Models (LLMs), such as GPT and BERT, have significantly advanced the field of Natural Language Processing (NLP) and opened new horizons in psychological research. These models can analyze vast amounts of textual data, generate human-like responses, and assist in cognitive, behavioral, and emotional analysis. This article explores the...

Natural Language Processing (NLP) is an interdisciplinary field that sits at the intersection of linguistics, computer science, and artificial intelligence, enabling machines to understand and interact with human language. Over the years, NLP has made significant strides, but it still faces several challenges that hinder its full potential. This ar...

Remote cardiac monitoring technologies offer significant potential to enhance patient care, enable early detection of cardiac events, and reduce healthcare costs. A recent workshop brought together clinicians, researchers, technology developers, and policymakers to discuss strategies for successful adoption and the obstacles that hinder progress. T...

Digital health and wearable technologies are revolutionizing the healthcare landscape by enabling real-time health monitoring, enhancing patient engagement, and facilitating personalized medical interventions. These innovations bridge the gap between patients and providers, offering new opportunities for preventive care, chronic disease management,...

Remote monitoring technologies are reshaping cardiac care by enabling early detection of cardiac events, continuous patient monitoring, and more personalized treatment strategies. Findings from a recent interactive workshop reveal the transformative potential of these technologies while highlighting the challenges that must be addressed to optimize...

This article explores the aesthetic and political functions of waste in tropical futurist fiction, with a central focus on Shiv Ramdas's Domechild. Drawing on postcolonial ecocriticism and decolonial theory, it examines how waste serves as a material and symbolic element in the construction of speculative futures rooted in the Global South. In cont...

This article explores the intersection of climate dystopia and decolonial hope in Shiv Ramdas's Domechild, a South Asian speculative fiction novel that imagines a future shaped by ecological collapse and neocolonial exploitation. Engaging with the tropes of climate dystopia, the article argues that Domechild provides a radical departure from Wester...

As cloud environments become more dynamic and complex, managing incidents in real time is increasingly challenging. Manual responses to security breaches, performance issues, or system anomalies are not only time-consuming but also prone to error. This article explores how artificial intelligence (AI) can be integrated with Amazon Web Services (AWS...

In today's data-driven environment, leveraging components of business analytics for learning and working has become essential for personal and professional development. By understanding and applying select aspects of analytics-such as data interpretation, visualization, and basic predictive modeling-individuals can enhance problem-solving, decision...

The integration of automation in surgery has brought about significant improvements in precision, efficiency, and patient outcomes. However, the real-time decision-making and adaptability required during complex surgeries present challenges that automated systems alone cannot overcome. The ability to dynamically adjust to changing conditions during...

The integration of automation into surgical procedures has revolutionized the medical field, enabling higher precision, minimized human error, and greater efficiency. However, complete autonomy in surgery raises concerns about adaptability, ethical considerations, and the complexity of dynamic, patient-specific scenarios. The concept of Human-in-th...

The integration of automation in surgery holds tremendous potential to enhance precision, reduce errors, and improve overall surgical outcomes. However, fully automated surgery remains a challenge, particularly when faced with complex, high-stakes decisions requiring human judgment. This paper examines the delicate balance between human judgment an...

As cloud computing continues to evolve, ensuring the reliability and efficiency of cloud infrastructure is paramount. Traditional maintenance strategies, such as reactive and preventive approaches, often fail to mitigate potential system failures effectively. AI-driven predictive maintenance represents a transformative solution by leveraging machin...

Abstract GitHub Actions and Jenkins are two widely used CI/CD tools, each offering unique advantages for software development and deployment automation. This article provides a detailed performance comparison and assessment of GitHub Actions and Jenkins based on various criteria, including ease of use, scalability, speed, integration capabilities,...

Continuous Integration and Continuous Deployment (CI/CD) have revolutionized software development by automating the building, testing, and deployment processes. This article explores how CI/CD accelerates software deployment cycles, improves development efficiency, and minimizes errors through automation. By integrating CI/CD practices, organizatio...

Continuous Integration and Continuous Deployment (CI/CD) play a crucial role in modern software development, enabling automation, efficiency, and reliability. This study explores the adoption of CI/CD tools within GitHub Actions workflows, analyzing usage trends, effectiveness, and the impact on software development. Through empirical data analysis...

Continuous Integration and Continuous Deployment (CI/CD) pipelines are essential for modern software development, enabling teams to deliver high-quality software faster and more efficiently. However, an unoptimized pipeline can introduce bottlenecks, slow down releases, and reduce overall productivity. This article explores strategies for optimizin...

Quantum computing is on the horizon, promising to revolutionize industries by solving complex problems far beyond the capabilities of classical computers. However, transitioning to a quantum-ready state requires organizations to develop strategies for integration, workforce training, and security. This article explores key steps businesses and indi...

Quantum computing is poised to revolutionize industries by solving complex problems exponentially faster than classical computers. As this technology advances, businesses and organizations must proactively prepare for the quantum era to remain competitive. This article explores key strategies for quantum readiness, including understanding quantum f...

The rapid advancement of quantum computing presents both unprecedented opportunities and significant security challenges. While quantum technology promises breakthroughs in various fields, it also threatens traditional cybersecurity measures, rendering current encryption methods vulnerable. This article explores the implications of quantum computin...

As quantum computing advances, traditional cryptographic systems face unprecedented threats. Post-quantum cryptography (PQC) is an emerging field focused on developing cryptographic algorithms that can withstand quantum attacks. This article explores the importance of PQC, the vulnerabilities in current cryptographic systems, and the strategies for...

The rapid advancement of quantum computing presents both opportunities and risks, particularly for cybersecurity. While quantum computers promise breakthroughs in data processing and problem-solving, they also threaten classical encryption methods that secure digital communications today. This article explores the implications of quantum computing...

The rapid adoption of cloud computing has revolutionized IT infrastructure management, enabling scalability, agility, and cost-efficiency. However, managing cloud infrastructure effectively requires a strategic approach to prevent inefficiencies, security risks, and cost overruns. DevOps-driven optimization provides a robust framework to enhance cl...

Quantum computing is poised to revolutionize various industries, including cybersecurity. While it offers immense computational power that can break traditional encryption methods, it also presents opportunities for more robust security solutions. This article explores the impact of quantum computing on cybersecurity, highlighting key challenges su...

The increasing threat posed by quantum computing to traditional cryptographic systems has raised concerns about the security of sensitive health data. As the healthcare industry embraces digital transformation and interoperable data exchange, the need for quantum-resistant cryptographic solutions becomes critical. This article explores the vulnerab...

Quantum computing is poised to revolutionize multiple industries, with cryptography being one of the most profoundly affected fields. Traditional cryptographic methods rely on mathematical complexity, but quantum computers exploit quantum mechanics to solve problems at an unprecedented speed. This article explores modern quantum information, how qu...

Quantum computing presents both opportunities and challenges for cybersecurity. While it offers immense computational power capable of solving complex problems, it also threatens traditional encryption methods. This article explores how cybersecurity risk management must evolve to address quantum-related threats. It discusses the vulnerabilities of...

The rapid advancement of quantum computing poses a significant threat to traditional cryptographic systems, especially within telecom networks that rely on secure communication protocols. As quantum computers become more powerful, they will be capable of breaking widely used encryption algorithms, exposing telecom infrastructures to cyber threats....

Quantum computing represents a paradigm shift in computational power, offering the ability to solve complex problems exponentially faster than classical computers. However, this advancement poses a significant threat to current online security systems, particularly those based on cryptographic algorithms. This article explores the fundamental princ...

Quantum computing is poised to revolutionize various fields, with cryptographic security being one of the most impacted. Traditional cryptographic systems, which rely on the computational difficulty of mathematical problems, face significant threats from quantum algorithms such as Shor's and Grover's algorithms. This article explores how quantum co...

The rapid advancement of quantum computing poses a significant challenge to traditional cryptographic methods, necessitating the adoption of quantum cryptography for securing network communications. This paper explores the principles of quantum cryptography, its role in mitigating quantum threats, and its integration into modern computer networks....

Quantum computing presents a paradigm shift in computational power, capable of solving complex mathematical problems exponentially faster than classical computers. While this breakthrough holds promise for various industries, it poses a significant threat to current cryptographic security systems. Existing encryption methods, such as RSA and ECC, r...

The emergence of quantum computing poses a significant threat to current cryptographic systems. Post-Quantum Cryptography (PQC) is crucial in ensuring data security in a quantum-dominated era. This article explores the risks associated with quantum computing, the vulnerabilities of classical cryptographic systems, and effective strategies to mitiga...

The rapid evolution of quantum computing poses a significant threat to traditional cryptographic systems, necessitating the development and assessment of post-quantum cryptographic (PQC) solutions. This article explores the vulnerabilities of both traditional and PQC systems through penetration testing, a critical technique for identifying weakness...

Quantum computing is poised to revolutionize industries by solving complex problems beyond the capabilities of classical computers. However, its advancements also pose significant threats to traditional cybersecurity systems. This article explores the fundamentals of quantum computing, the cybersecurity risks associated with its development, and st...

The advent of quantum computing poses a significant threat to traditional cryptographic methods, necessitating a shift towards post-quantum cryptographic (PQC) systems. This article presents a strategic framework for organizations to transition to quantum-resilient cybersecurity. We explore the vulnerabilities posed by quantum algorithms, key consi...

Quantum computing is poised to revolutionize industries by leveraging the principles of quantum mechanics to perform computations at unprecedented speeds. Unlike classical computers, quantum computers utilize qubits, which enable parallel processing and superposition, making them exponentially more powerful for certain types of problems. This artic...

Continuous cardiology represents a transformative approach in the field of heart health, leveraging technology, data analytics, and innovative treatments to improve patient outcomes. With the rise of wearables, real-time monitoring, and personalized medicine, cardiology is evolving from episodic care to a more proactive, continuous management of ca...

Remote cardiac monitoring (RCM) has undergone a significant transformation in recent years, driven by advancements in technology and the increasing demand for efficient healthcare delivery. Remote monitoring allows healthcare professionals to track patients' heart health remotely, providing continuous monitoring of vital signs and early detection o...

Kathmandu Valley, the capital region of Nepal, faces significant challenges related to water supply due to the ongoing effects of climate change. Rising temperatures, erratic rainfall patterns, and reduced glacial melt contribute to the increasing vulnerability of the water resources in the region. This article explores the effects of climate chang...

The prediction of building damage from earthquakes is crucial for effective risk assessment and disaster management. This article presents the development of an intensity-based building damage prediction model, which utilizes data from past earthquakes to predict potential structural damage in future seismic events. By leveraging ground motion inte...

1. Abstract Sabah, a state on the island of Borneo in Malaysia, is prone to seismic activity due to its proximity to fault lines and tectonic plate boundaries. With increasing urbanization and infrastructure development in the region, it is essential to assess the vulnerability of existing buildings to earthquakes, particularly moderate ones. This...

This study aims to evaluate the seismic vulnerability of reinforced concrete (RC) buildings in Tawau, Sabah, a region prone to seismic activity. The increasing frequency of earthquakes in Southeast Asia necessitates a thorough understanding of how these structures perform under seismic forces. This investigation examines the potential for damage in...

This study aims to evaluate the seismic vulnerability of reinforced concrete (RC) buildings in Tawau, Sabah, a region prone to seismic activity. The increasing frequency of earthquakes in Southeast Asia necessitates a thorough understanding of how these structures perform under seismic forces. This investigation examines the potential for damage in...

In an increasingly connected yet emotionally fragmented digital world, loneliness has emerged as a significant public health concern, particularly among adults. This paper examines the transformative promise of artificial intelligence (AI) in providing emotional support and mitigating feelings of isolation. By leveraging natural language processing...

Robotic Process Automation (RPA) has emerged as a transformative technology that enhances operational efficiency by automating repetitive tasks across industries. This paper explores the utilization of RPA, highlighting its benefits, applications, and challenges. By eliminating human intervention in routine processes, RPA improves accuracy, product...

Insurance fraud is a persistent issue that results in significant financial losses and undermines the integrity of the insurance industry. Traditional fraud detection methods, such as rule-based systems and manual audits, are becoming insufficient in detecting sophisticated fraudulent schemes. This paper provides a comprehensive review of artificia...

Healthcare insurance fraud is a critical issue that results in substantial financial losses and compromises the integrity of healthcare systems. Traditional fraud detection methods often fail to detect sophisticated fraudulent activities, necessitating the adoption of machine learning (ML) techniques. This paper provides a comprehensive review of f...

Healthcare insurance fraud is a critical issue that results in substantial financial losses and compromises the integrity of healthcare systems. Traditional fraud detection methods often fail to detect sophisticated fraudulent activities, necessitating the adoption of machine learning (ML) techniques. This paper provides a comprehensive review of f...

The rapid advancements in artificial intelligence (AI) and data science have led to the emergence of intelligent information systems (IIS), which play a crucial role in modern applications across various domains. Intelligent information systems integrate machine learning, natural language processing, and big data analytics to enhance decision-makin...

Quantum computing is poised to revolutionize cybersecurity and information privacy by introducing both new security challenges and unprecedented cryptographic solutions. This article explores the fundamental principles of quantum computing, its potential threats to current encryption methods, and the innovative quantum cryptographic techniques that...

This article explores the transformative potential of integrating SAP (Systems, Applications, and Products in Data Processing) with Artificial Intelligence (AI) to optimize Enterprise Resource Planning (ERP) systems. By harnessing the power of AI, businesses can improve operational efficiency, enhance automation, and drive smarter decision-making....

This study explores the disruptive effects of Artificial Intelligence (AI) on business innovation, industry dynamics, and competitive strategies. As AI technologies advance rapidly, they are reshaping traditional business models and altering the competitive landscape across industries. Through an in-depth analysis, the study investigates how AI is...

This article explores the realist and naturalistic elements within Khaled Hosseini's celebrated novels The Kite Runner and A Thousand Splendid Suns. By delving into the portrayal of human experiences in Afghanistan's socio-political landscape, the study highlights how Hosseini's narratives bring attention to the struggles and emotional journeys of...

This article explores the psychological impacts of cultural suppression and human rights violations on Afghan individuals as depicted in Khaled Hosseini's novels, The Kite Runner, A Thousand Splendid Suns, and And the Mountains Echoed. It examines how Hosseini portrays the psychological trauma and emotional scars caused by decades of political unre...

This article explores the representation of the 'Other' in Khaled Hosseini's A Thousand Splendid Suns through the framework of New Orientalism. While Orientalism traditionally focuses on how the West constructs images of the East, New Orientalism shifts the gaze towards how contemporary works by authors from the East can contribute to or challenge...

In the ever-evolving technological landscape, businesses strive for solutions that offer adaptability, scalability, and enhanced performance. Integrating Artificial Intelligence (AI) into Enterprise Architecture (EA) is one such strategy that promises to revolutionize how organizations manage their IT infrastructure and software systems. This artic...

Understanding corporate financial health is crucial for investors, stakeholders, and managers alike. This article explores how a comprehensive analysis of annual reports and financing strategies can offer a clear insight into the financial stability and operational efficiency of a corporation. By diving into key quantitative metrics and evaluating...

The rapidly changing dynamics of the financial world demand new frameworks and strategies to adapt and thrive. While modern practices and technologies play a central role in shaping financial organizations, ancient wisdom offers surprising and profound insights that can influence contemporary practices. This article draws from Valmiki's Ramayana, a...

Enterprise Resource Planning (ERP) systems are essential tools for managing and integrating key business processes in organizations. With the increasing complexity of business environments, traditional ERP systems face challenges in handling large-scale data and making real-time decisions. Machine learning (ML) has emerged as a powerful tool to enh...

Artificial Intelligence (AI) is transforming industries by enhancing the capabilities of various business applications, and one area seeing significant improvements is Enterprise Resource Planning (ERP) systems. ERP systems integrate core business processes, and the infusion of AI enables smarter decision-making, better resource management, and mor...

Enterprise Resource Planning (ERP) systems are vital tools for modern organizations, enabling seamless integration of key business processes. However, the adoption of ERP systems requires a structured approach to ensure successful implementation. This paper proposes an integrated framework for ERP system assimilation, outlining key phases, antecede...

The accurate classification of lung diseases is critical for timely diagnosis and effective treatment. Recent advances in artificial intelligence (AI) and machine learning have significantly improved the precision and efficiency of disease classification tasks. Among these innovations, attention mechanisms, particularly Light Attention-Connected Mo...

E-commerce technologies have radically transformed the retail sector by reshaping how businesses interact with customers, manage inventory, and optimize supply chain operations. With the rise of online shopping and digital platforms, retail companies are increasingly leveraging e-commerce technologies to streamline their supply chains and improve e...

The COVID-19 pandemic revealed significant vulnerabilities in global supply chains, causing widespread disruptions across various industries. With unprecedented supply chain challenges, companies were forced to rethink and innovate their operational strategies to maintain business continuity. This article examines the innovative strategies adopted...

The COVID-19 pandemic has dramatically reshaped the way businesses operate, particularly small and medium-sized enterprises (SMEs). Faced with disruptions in supply chains, changes in customer behavior, and the shift to digital channels, SMEs have realized the importance of robust, integrated systems to streamline their operations. One such solutio...

E-commerce technologies have radically transformed the retail sector by reshaping how businesses interact with customers, manage inventory, and optimize supply chain operations. With the rise of online shopping and digital platforms, retail companies are increasingly leveraging e-commerce technologies to streamline their supply chains and improve e...

As cloud computing continues to evolve, organizations face increasing challenges in optimizing resources, managing workloads efficiently, and ensuring robust security. Artificial Intelligence (AI) is transforming cloud computing by enabling intelligent resource allocation, real-time optimization, and proactive security measures. This article explor...

As cloud computing continues to evolve, organizations face increasing challenges in optimizing resources, managing workloads efficiently, and ensuring robust security. Artificial Intelligence (AI) is transforming cloud computing by enabling intelligent resource allocation, real-time optimization, and proactive security measures. This article explor...

1. Abstract The development of next-generation transistors is crucial for advancing the performance of modern electronic devices. This paper explores the integration of single crystal nanowires (SCNWs) with vertical surround-gate field-effect transistors (VSFETs) to enhance transistor performance. By utilizing SCNWs, the intrinsic properties of the...

Oil pipelines are critical infrastructure for the transportation of petroleum products, and ensuring their safety and efficiency is paramount. Traditional pipeline monitoring systems, while effective, often face limitations such as high operational costs, slow response times, and the inability to provide real-time data across vast distances. The In...

This article explores the theme of patriarchy in Khaled Hosseini's A Thousand Splendid Suns (2007) from a feminist perspective. By analyzing the experiences of the novel's central female characters, Mariam and Laila, the article demonstrates how patriarchal structures affect women's lives in Afghanistan. The novel portrays the struggles women face...

1. Abstract Narrative approaches have become increasingly important in language teacher education (LTE) as they provide a lens through which the complex interactions between language, identity, and power can be examined. This article explores how narratives, both personal and professional, can deepen understanding of the identities of language teac...

The process of converting natural language-based requirements into formal models, such as UML (Unified Modeling Language) diagrams, plays a critical role in software development. Requirements engineering, a phase of software development, focuses on gathering and analyzing functional and non-functional system requirements. Traditionally, translating...

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in medical assistive robotics has revolutionized the field of healthcare, offering significant advancements in patient care, rehabilitation, and surgery. This experimental study explores how AI and ML algorithms are employed to enhance the functionality, adaptability, and pre...

The field of surgery has experienced a paradigm shift with the integration of artificial intelligence (AI) and robotics. These technologies have transformed traditional surgical procedures, enhancing precision, reducing human error, and optimizing patient outcomes. AI and robotic systems are now integral in preoperative planning, intraoperative ass...

Artificial Intelligence (AI) is transforming the landscape of Supply Chain Management (SCM) by enabling companies to streamline operations, enhance decision-making, and improve efficiency. This paper explores the application of AI technologies such as machine learning, predictive analytics, and natural language processing within the context of supp...

In today's dynamic business environment, organizations must prepare for unforeseen disruptions to operations. A well-crafted Disaster Recovery (DR) strategy is essential to ensure that critical business functions continue without interruption. This article outlines the importance of disaster recovery planning in maintaining corporate resilience and...

Language teacher identity is a dynamic and multifaceted construct, shaped by a range of personal, professional, and socio-cultural factors. Research into language teacher identity provides valuable insights into how teachers perceive themselves, how they navigate their roles, and how they interact with their students and communities. This article r...

Loneliness has reached epidemic proportions in many parts of the world, with far-reaching consequences for public health. The effects of social isolation and loneliness are linked to a range of physical and mental health issues, including cardiovascular disease, depression, and cognitive decline. As traditional methods of addressing loneliness fall...

Heart disease remains a leading cause of mortality worldwide, emphasizing the need for effective early detection and risk prediction models. Traditional risk prediction tools, such as the Framingham Risk Score, have limitations in accuracy and generalizability. Recent advancements in machine learning (ML) have shown great promise in improving the p...

The global business landscape has undergone significant changes in the aftermath of the COVID-19 pandemic. Organizations are now focused on enhancing their operational efficiency, agility, and digital capabilities to navigate the uncertainties of the post-pandemic world. Enterprise Resource Planning (ERP) systems have become integral in this transf...

The global COVID-19 pandemic has created unprecedented challenges for businesses, especially for Small and Medium Enterprises (SMEs) that often operate with limited resources. This article explores the transformation of sales systems in SMEs, with a particular focus on the role of integrated Enterprise Resource Planning (ERP) solutions. It discusse...

The rise of e-commerce technologies has had a transformative impact on various industries, particularly retail. This paper examines the influence of e-commerce technologies on supply chain management (SCM) in the retail sector. By leveraging digital tools such as cloud computing, artificial intelligence, and automation, retailers have enhanced the...

In recent years, the integration of smart technologies into supply chain management (SCM) has become pivotal in driving operational efficiency, sustainability, and innovation. As global supply chains face increasing pressure to reduce carbon footprints and improve resource utilization, the adoption of green technologies has gained significant tract...