AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. rising complexity from cross-border legislation, currency volatility, evolving market demands requires decision-making driven by AI, Big Data, This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via innovation, sustainability. In contrast models characterized static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, hyperloop cargo systems, is transforming logistics. Findings underscore significant transformations strategy, focusing on sustainable mobility, carbon footprint mitigation, integrated analysis delineates research deficiencies proposes avenues future investigation systems management.

Language: Английский

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Forensics and security issues in the Internet of Things

Wireless Networks, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

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Does green purchasing mediate the relationship between smart supply chain and green performance of pharmaceutical companies in Sudan: implications for underdevelopment countries

International Journal of Productivity and Performance Management, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Purpose This study examined the mediating role of green purchasing in relationship between smart supply chains and performance Sudan’s pharmaceutical industry. Design/methodology/approach The current is a descriptive examining industry’s Sudan. Based on nonprobability sample 138 respondents from logistics operations industry, data were collected using five-point scale. SEM was employed for analysis hypothesis testing. Findings results indicate that have no positive influence performance. While chain has with purchasing, findings confirm mediates performance, whereas front end negative effect Research limitations/implications had some limitations may reduce generalizability results. investigated unique sector, but it small segment Sudanese economy. Practical implications shows significant companies. provides practical evidence how can indirectly lead to better especially sector. Social Green helps establish workforce safety by identifying, assessing controlling work hazards or other threats ensure safety. Companies follow are increasingly obtaining input suppliers adhere social ethical standards. drawbacks, terms intensity energy power usage, which impact environment. Originality/value evaluates practices their levels an underdeveloped country sector features. offers managers’ perceptions related digital technologies, through help enhance sector’s

Language: Английский

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AI in personalized medicine: Enhancing drug efficacy and reducing adverse effects

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(8), P. 806 - 833

Published: Aug. 23, 2024

Artificial intelligence (AI) is transforming personalized medicine by enhancing drug efficacy and reducing adverse effects, promising a new era of precision healthcare. This paper explores the role AI in revolutionizing therapies tailoring treatments to individual patient profiles, thereby optimizing therapeutic outcomes minimizing risks. leverages vast amounts medical data, including genetic information, electronic health records (EHRs), real-time monitoring create comprehensive profiles. Machine learning algorithms analyze these profiles identify patterns correlations that might not be apparent human practitioners. enables development treatment plans consider patient's unique makeup, lifestyle, existing conditions. One critical applications pharmacogenomics, which studies how genes affect person’s response drugs. can variations influence metabolism, efficacy, toxicity, allowing healthcare providers predict medications dosages will most effective for patients. reduces trial-and-error approach traditionally used prescribing medications, incidence reactions (ADRs). also plays significant repurposing development. By analyzing data outcomes, uses potential side effects before clinical trials, accelerating process costs. Moreover, AI-driven predictive analytics continuously monitor responses treatment, adjusting maintain optimal levels. particularly beneficial managing chronic conditions such as diabetes, hypertension, cancer, where maintaining correct dosage crucial disease management. Despite its promise, integration faces challenges, privacy concerns, need robust regulatory frameworks, ensuring equitable access innovations. Addressing challenges requires collaborative efforts from providers, researchers, policymakers, technology developers. In conclusion, at forefront medicine, Continued advancements technologies supportive policies realizing full ultimately leading more safer solutions. Keywords: AI, Drug Efficacy, Personalized Medicine, Enhancing, Reducing Adverse Effect.

Language: Английский

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AI-Enhanced remote monitoring for chronic disease management in rural areas

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1824 - 1847

Published: Aug. 21, 2024

The integration of artificial intelligence (AI) in healthcare has revolutionized chronic disease management, particularly rural areas where access to medical services is often limited. AI-enhanced remote monitoring systems leverage advanced machine learning algorithms, wearable devices, and telehealth platforms provide continuous, real-time health for patients with conditions such as diabetes, hypertension, cardiovascular diseases. AI algorithms analyze data from which track vital signs like heart rate, blood pressure, glucose levels, physical activity. This continuous stream allows early detection potential issues, enabling timely interventions reducing the need frequent hospital visits. For instance, can predict a hypertensive crisis by identifying abnormal patterns pressure readings, prompting immediate attention. Telehealth facilitate communication between providers, overcoming geographical barriers. Patients receive personalized care plans, medication adjustments, lifestyle recommendations through virtual consultations. AI-driven chatbots assistants enhance patient engagement providing instant responses health-related queries, thus improving adherence treatment regimens. Moreover, enhances analytics integrating electronic records (EHR) data, creating comprehensive profiles. These profiles assist providers making informed decisions personalizing plans. Predictive identify high-risk forecast progression, proactive management strategies. implementation also addresses resource constraints settings. Automated collection analysis reduce workload professionals, allowing them focus on critical tasks. Furthermore, AI's scalability ensures that even underserved communities benefit technologies. Despite these advancements, challenges privacy, cybersecurity, reliable internet connectivity must be addressed. Ensuring security confidentiality paramount gaining trust widespread adoption technologies healthcare. In conclusion, presents transformative approach areas, outcomes, enhancing accessibility, optimizing utilization. Continued innovation investment are essential bridging gap urban populations. Keywords: AI-Enhanced, Remote Monitoring, Chronic Disease, Management, Rural Areas.

Language: Английский

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AI and big data analytics for enhancing public health surveillance in rural communities

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(8), P. 1797 - 1823

Published: Aug. 21, 2024

Artificial intelligence (AI) and big data analytics have emerged as powerful tools in enhancing public health surveillance, particularly rural communities where traditional monitoring methods face significant challenges. These technologies offer the potential to transform how is collected, analyzed, utilized, enabling more effective timely responses threats. Rural often struggle with limited healthcare infrastructure, making it difficult monitor respond issues effectively. AI can bridge this gap by providing advanced capabilities for real-time collection analysis. algorithms process vast amounts of from various sources, including electronic records, mobile applications, social media, environmental sensors. This enables identification patterns trends that may indicate emerging threats, such outbreaks infectious diseases or increases chronic conditions. Big allows integration analysis diverse datasets, a comprehensive view areas. holistic approach officials identify high-risk populations, track spread diseases, evaluate effectiveness interventions. For instance, AI-powered predictive models forecast disease based on historical current trends, allowing proactive measures mitigate impact. Moreover, these enhance accuracy efficiency surveillance. automate processing tasks, reducing time resources required manual authorities quickly improving overall outcomes communities. Additionally, aid identifying correlations between factors issues, insights inform policies Despite benefits, implementing surveillance faces several Data privacy security concerns must be addressed ensure confidentiality information. Furthermore, areas lack technological infrastructure expertise needed fully leverage technologies. Overcoming challenges requires investment training professionals, development user-friendly applications tailored needs In conclusion, hold promise By leveraging technologies, improve detection, monitoring, response ultimately leading better populations. Keywords: AI, Analytics, Public Health, Surveillance, Communities.

Language: Английский

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Leveraging UX design and prototyping in agile development: A business analyst’s perspective

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2670 - 2693

Published: Aug. 31, 2024

In Agile development, leveraging UX design and prototyping is crucial for delivering user-centered solutions that meet business goals user needs. This review explores the integration of within frameworks from a analyst’s perspective, highlighting how these practices enhance project outcomes ensure alignment with both expectations objectives. User Experience (UX) are essential in development creating intuitive effective interfaces. focuses on understanding needs, behaviors, pain points through research, personas, journey mapping. Prototyping involves early versions product to visualize test concepts. Integrating methodologies helps iterating designs quickly, gathering feedback, refining features based real-world use. From offer several benefits. Firstly, they facilitate clearer communication between stakeholders, designers, developers by providing tangible representations ideas requirements. reduces misunderstandings ensures all parties have shared vision outcomes. Secondly, continuous allows rapid validation assumptions, reducing risk costly changes later process. The also discusses analysts can leverage prioritize features, manage stakeholder expectations, drive decision-making. By incorporating feedback into iterative cycles, final not only meets needs but aligns delivers value. Additionally, use principles tools enhances agility process, enabling teams adapt changing requirements market conditions effectively. conclusion, integrating provides strategic advantage aligning experience For analysts, this approach products user-centered, functional, responsive evolving ultimately contributing success projects. Keywords: Design, Prototyping, Development, Business Analyst, Experience, Iterative Stakeholder Communication, Feature Prioritization, Feedback, Development Process.

Language: Английский

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The Role of Strategic Partnerships and Digital Transformation in Enhancing Supply Chain Agility and Performance

Systems, Journal Year: 2024, Volume and Issue: 12(11), P. 456 - 456

Published: Oct. 29, 2024

In times of disruption, a company’s ability to manage its supply chain effectively can determine success or failure. This paper explores the extent which strategic partnership development, mediated by digital transformation, enhances effectiveness during such periods. A mixed methods approach was used, involving surveys and interviews with professionals from Saudi Arabian manufacturing sector. The study’s findings reveal that transformation partnerships work synergistically together enhance resilience effectiveness, resulting in improved operational agility adaptability. Four key enablers were identified: inter-business coordination, leadership, technological culture, recruitment management. These insights contribute significantly our understanding how businesses build resilient chains uncertain environments.

Language: Английский

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Innovative drug delivery methods for combating antimicrobial resistance

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(8), P. 834 - 858

Published: Aug. 23, 2024

Antimicrobial resistance (AMR) poses a significant threat to global health, complicating the treatment of infectious diseases and leading increased morbidity mortality. Innovative drug delivery methods are emerging as critical strategies combat AMR by enhancing efficacy existing antibiotics facilitating development new therapeutic approaches. This paper explores role novel systems in addressing challenges. One primary approaches is targeted that improve precision antibiotic therapy. Nanotechnology has revolutionized this field, enabling creation nanoparticles nanocarriers can deliver drugs directly infection sites, reducing systemic side effects concentration at target. These advanced be engineered release controlled manner, overcoming bacterial mechanisms minimizing likelihood development. Another promising strategy involves use combination therapies delivered through innovative methods. By combining with adjuvants or resistance-modifying agents, these counteract restore effectiveness drugs. For instance, platforms co-deliver inhibitors efflux pumps biofilm formation enhance resistant infections. The integration smart systems, which respond environmental stimuli such pH changes specific enzymes, offers additional advantages. only presence bacteria, thereby overall exposure bacteria decreasing risk resistance. also include long-acting formulations implants provide sustained over extended periods. Such reduce frequency dosing, patient adherence, ensure consistent levels, crucial for managing chronic infections preventing In conclusion, pivotal fight against AMR. targeting, therapies, utilizing sustained-release offer solutions curb Continued research area essential advancing ensuring effective management face rising antimicrobial Keywords: Innovative, Drug Delivery Methods, Combating, Antimicrobial, Resistance.

Language: Английский

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The impact of artificial intelligence on early diagnosis of chronic diseases in rural areas

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1828 - 1854

Published: Aug. 23, 2024

The integration of artificial intelligence (AI) in healthcare has the potential to revolutionize early diagnosis chronic diseases, particularly rural areas where resources are often limited. This paper explores transformative impact AI technologies on identifying diseases at their earliest stages, enhancing patient outcomes, and alleviating burden systems. AI's ability analyze vast amounts data rapidly accurately enables detection such as diabetes, hypertension, cardiovascular conditions. Machine learning algorithms can process from various sources, including electronic health records (EHRs), wearable devices, diagnostic imaging, identify patterns biomarkers indicative disease onset. predictive capability allows providers intervene sooner, potentially preventing progression reducing long-term costs. In areas, access specialized medical expertise advanced tools is constrained, AI-driven offer a significant advantage. Telemedicine platforms integrated with facilitate remote consultations, assists interpreting providing suggestions. approach not only expands quality but also empowers local decision-support tools, improving accuracy management. Moreover, help mitigate challenges limited personnel regions by automating routine tasks enabling workers focus more complex cases. For instance, AI-powered imaging analysis quickly screen large populations for signs flagging suspicious cases further review professionals. deployment settings fosters continuous monitoring personalized care through connected devices. These devices collect real-time data, which systems provide actionable insights alerts both patients providers. proactive ensures timely interventions enhances adherence treatment plans. conclusion, into significantly improves offering scalable solution address disparities outcomes between urban populations. Continued investment infrastructure, along targeted training providers, essential realize full transforming life millions. Keywords: AI, Impact, Early Diagnostic, Chronic Disease, Rural Areas.

Language: Английский

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