AI-Powered Agricultural Supply Chains DOI
James Kanyepe, Munyaradzi Chibaro, Masego Morima

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 64

Published: Dec. 26, 2024

The integration of artificial intelligence (AI) into agricultural supply chains has catalyzed profound transformations in global farming practices. This chapter provides an in-depth exploration the dynamic landscape AI-powered chains, elucidating how smart technology is reshaping traditional paradigms. Through utilization algorithms and data analytics, farmers are empowered to optimize various aspects their operations, ranging from crop monitoring yield forecasting resource management logistics. methodology involved documentary analysis, comprising a critical review academic books, articles, journals, websites about chains. Content analysis was employed identify develop key thematic insights. findings this study provide valuable insights for policymakers other stakeholders chain on harness AI decision-making.

Language: Английский

SUSTAINABLE SUPPLY CHAIN MANAGEMENT IN THE MEDICAL INDUSTRY: A THEORETICAL AND PRACTICAL EXAMINATION DOI Creative Commons

Emmanuel Adeyemi Abaku,

Agnes Clare Odimarha

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(3), P. 319 - 340

Published: March 22, 2024

Sustainable Supply Chain Management (SSCM) has emerged as a critical paradigm in the modern healthcare landscape, aiming to reconcile often conflicting objectives of environmental stewardship, social responsibility, and economic viability within medical supply chains. This paper offers comprehensive theoretical practical exploration SSCM context industry. Six keywords - sustainability, chain management, healthcare, encapsulate essence this examination. The introduction sets stage by highlighting growing importance sustainability operations unique challenges faced sector achieving sustainable It underscores significance integrating environmental, social, considerations into fabric management practices. subsequent sections delve various facets They address key components such reducing carbon footprint waste, fostering responsibility through ethical sourcing practices, striking balance between cost efficiency. Regulatory frameworks compliance requirements specific chains are also explored, emphasizing need for alignment with evolving standards. Technological innovations play pivotal role driving chains, advancements data analytics, blockchain, IoT enabling enhanced visibility, traceability, Moreover, collaboration partnerships among stakeholders deemed essential practices across ecosystem. Drawing from real-world case studies, illustrates successful implementations principles industry, showcasing best lessons learned. Finally, it prognosticates future trends challenges, anticipating continued emphasis on amidst market dynamics regulatory landscapes. In sum, examination imperative offering insights strategies navigate complex interplay factors logistics. Keywords: Sustainability, Management, Healthcare, Environmental Stewardship, Social Responsibility, Economic Viability.

Language: Английский

Citations

37

Innovating business practices: The impact of social media on fostering gender equality and empowering women entrepreneurs DOI Creative Commons

Chidiogo Uzoamaka Akpuokwe,

Chidinma Favour Chikwe,

Nkechi Emmanuella Eneh

et al.

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 032 - 043

Published: March 13, 2024

Social media has emerged as a powerful tool for fostering gender equality and empowering women entrepreneurs by providing them with unprecedented access to resources, networks, markets. This abstract explores the impact of social on innovating business practices promote empower entrepreneurs. platforms have democratized information enabling overcome traditional barriers entry in business. By leveraging media, can build expand their mentorship support, showcase products services global audience. Additionally, provides platform collaborate, share experiences, advocate entrepreneurship. The entrepreneurship extends beyond individual empowerment systemic change. campaigns movements raised awareness about biases discrimination, leading increased calls gender-inclusive policies Moreover, enabled funding investment opportunities, breaking down capital that hindered women's entrepreneurial endeavors. Overall, revolutionized barriers, equality. However, challenges remain, including online harassment cyberbullying, digital skills gaps, divide. Addressing these requires multi-stakeholder approach, government intervention, private sector initiatives, civil society engagement, ensure remains force positive change

Language: Английский

Citations

22

SME FINANCING THROUGH FINTECH: AN ANALYTICAL STUDY OF TRENDS IN NIGERIA AND THE USA DOI Creative Commons

Yinka James Ololade

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(4), P. 1078 - 1102

Published: April 10, 2024

In this comprehensive review, we examine the burgeoning influence of Financial Technology (FinTech) on Small and Medium Enterprises' (SMEs) financing, with a focus comparative trends between Nigeria USA. The paper aims to dissect how FinTech innovations have redefined landscape SME facilitating enhanced accessibility efficiency in financial services. Through an extensive literature review that spans academic journals, industry reports, case studies, study synthesizes current knowledge subject, offering panoramic view ecosystem its implications for SMEs both developed developing economies. Our analysis reveals USA, has dramatically transformed financing by introducing alternative lending platforms, which provide more agile less cumbersome options than traditional banks. This shift not only improved speed funding but also expanded availability capital broader range businesses. Conversely, Nigeria, FinTech's impact is seen democratization services, where mobile money digital banking platforms significantly increased SMEs' access resources, overcoming historical barriers such as lack collateral infrastructure. identifies key factors driving adoption including regulatory environments, technological advancements, growing demand flexible solutions. It highlights challenges opportunities inherent leveraging economic development growth countries. Conclusively, underscores transformative potential bridging gap faced SMEs, while pointing out necessity supportive policies, literacy, infrastructure fully harness benefits. contributes ongoing dialogue role empowerment, insights could inform policymakers, practitioners, researchers interested nexus technology small business financing. Keywords: Internet Things (IoT), oil industry, efficiency, innovation, sustainability, challenges, strategies, emerging trends, cross-country collaboration, Nigeria..

Language: Английский

Citations

21

Conceptual framework for global protection against technology-enabled violence against women and girls DOI Creative Commons

Chidinma Favour Chikwe,

Nkechi Emmanuella Eneh,

Chidiogo Uzoamaka Akpuokwe

et al.

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(2), P. 279 - 287

Published: March 12, 2024

Technology-enabled violence against women and girls has emerged as a significant complex issue in today's digital age. This form of violence, which includes cyberstalking, online harassment, the non-consensual sharing intimate images, poses serious threats to safety, privacy, well-being worldwide. Addressing this requires comprehensive coordinated response that integrates legal, technological, social interventions. concept paper proposes conceptual framework for global protection technology-enabled girls. The is based on thorough review existing literature, research, best practices field, aims provide roadmap stakeholders develop effective strategies interventions prevent address violence. consists Legal Dimension focuses legal frameworks mechanisms needed It an analysis laws regulations, well recommendations strengthening protections ensuring accountability perpetrators. Technological explores role technology both perpetrating preventing examination technological solutions, such security tools platforms, ethical considerations related development use. Social examines cultural factors contribute gender norms, power dynamics, media dynamics influence prevalence impact also implementing its at level, including advocacy efforts, capacity-building initiatives, partnerships with governments, civil society organizations, private sector. emphasizes importance multi-stakeholder collaboration addressing issue. Overall, holistic approach pressing challenge. We hope will serve valuable resource working create safer more inclusive environment

Language: Английский

Citations

18

Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review DOI Creative Commons
A. Samuels

Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 7

Published: Jan. 20, 2025

Background This study examines the integration of Artificial Intelligence (AI) in supply chain management (SCM) during transition from Industry 4.0 to 6.0. The focus is on improving operational efficiency, promoting human-centric collaboration, and advancing sustainability within chains. As industries progress, need incorporate AI technologies that improve decision-making resilience while ensuring sustainable practices becomes increasingly critical. systematic review aims explore how transforming SCM through these industrial transitions. Methods Utilising PRISMA framework, a was conducted gather analyse relevant literature published between 2010 2023. A comprehensive search databases including Web Science, Scopus, IEEE Xplore, Google Scholar, ScienceDirect performed. involved rigorous screening for eligibility thematic analysis using Atlas-ti software identify key themes patterns related SCM. Results findings indicate significantly improves by demand forecasting, inventory management, overall capabilities. 5.0 focuses human-AI customisation problem-solving. also contribute optimising resource utilisation reducing environmental impacts. However, challenges such as cybersecurity risks workforce skill gaps be addressed fully leverage AI’s potential. Conclusion Integrating not only efficiency but promotes against disruptions. insights this offer valuable guidance both academics practitioners aiming optimise operations underlines importance balanced approach integrates technological developments with practices.

Language: Английский

Citations

3

Revolutionizing the Demand-Driven Supply Chain DOI

Majda Boualam,

Imane Ibn El Farouk, Fouad Jawab

et al.

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 347 - 378

Published: Jan. 23, 2025

The application of AI in the demand-driven supply chain is changing significantly way businesses forecast their demand and manage inventory. In same context book, which emphasizes transformative potential generative ML chains, this chapter explores how these technologies revolutionize management presents impacts DDSC.The aim to explore, through a literature review, transforming by using particularly ML, analyze current state applications driven chain, highlighting key algorithms used, practical implementations, benefits challenges associated with adoption. This reveals that enhance forecasting accuracy, optimize inventory management, improve decision-making operational efficiency. It also such as regression approaches time series predicting more accurate forecasts from historical data analysis.

Language: Английский

Citations

0

How Does Digital Capability Shape Resilient Supply Chains?—Evidence from China’s Electric Vehicle Manufacturing Industry DOI Creative Commons

Yanxuan Li,

Vatcharapol Sukhotu

Future Internet, Journal Year: 2025, Volume and Issue: 17(3), P. 123 - 123

Published: March 11, 2025

In recent years, the rapid advancement of digital technologies and growing demand for sustainability have driven unprecedented transformations in automotive industry, particularly toward electric vehicles (EVs) renewable energy. The EV supply chain, a complex global network, has become increasingly vulnerable to globalization frequent “black swan” events. purpose this study, grounded organizational information processing theory, aims systematically examine role capability strengthening chain resilience (SCR) through improved risk management effectiveness. Specifically, it explores multidimensional nature capability, clarifies its distinct impact on SCR, addresses existing research gaps domain. To achieve this, study develops theoretical framework validates using survey data collected from 249 enterprises China. Partial Least Squares Structural Equation Modeling (PLS-SEM) is employed empirically test proposed relationships. findings provide valuable insights actionable guidance manufacturers seeking leverage transformation mitigate risks effectively enhance resilience. However, as focuses Chinese enterprises, caution needed when generalizing other regions. Future could extend investigation different markets, such Europe United States, explore potential variations.

Language: Английский

Citations

0

AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions DOI Creative Commons
Zohra Dakhia, Mariateresa Russo, Massimo Merenda

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2147 - 2147

Published: March 28, 2025

Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), Internet Things (IoT), and data-driven approaches, address various challenges in food sector. It encompasses a wide range technologies that improve efficiency, safety, sustainability systems, from production consumption. represents transformative approach addressing sector by integrating AI, IoT, methodologies. Unlike traditional which primarily focus on leverages AI for intelligent decision making IoT real-time monitoring, enabling significant advancements areas supply chain optimization, personalized nutrition. This review highlights applications, including computer vision recognition quality assessment, Natural Language Processing recipe analysis, predictive modeling dietary recommendations. Simultaneously, enhances transparency efficiency through data collection, device connectivity. The convergence these relies diverse sources, images, nutritional databases, user-generated logs, are critical traceability tailored solutions. Despite its potential, faces challenges, heterogeneity, privacy concerns, scalability issues, regulatory constraints. To these, this paper explores solutions like federated learning secure on-device processing blockchain transparent traceability. Emerging trends, edge analytics sustainable practices powered AI-IoT integration, also discussed. offers actionable insights advance innovative ethical technological frameworks.

Language: Английский

Citations

0

Crop modelling applied to Portuguese viticulture: a brief overview DOI Creative Commons
Rui C. Santos, Virgílio Falco, João A. Santos

et al.

Ciência e técnica vitivinícola/Ciência e técnica vitivinícola, Journal Year: 2025, Volume and Issue: 40(1), P. 39 - 52

Published: Jan. 1, 2025

Traditional viticulture is becoming increasingly insufficient to deal with the pressure from climate changes and market competitiveness. Due these challenges, efficient modelling needed increase efficiency modernization of sector. This work presents a review most relevant research on grapevine crop modelling, including an assessment statistical dynamic as well machine learning techniques applications. A brief overview viticultural sector (national international) given, highlighting declining vineyard areas economic fragmentation, particularly in Portugal. Drawing agricultural systems science, recent studies change effects European viticulture, advancements models, aims address complexities management change. The importance models evidenced, opportunities for future improvements are presented, such enhanced phenological precision techniques. Challenges, data quality issues need region-specific also identified. resulting impact overcoming challenges can have very significant influence long-term efficiency, productivity, resilience sustainability Portuguese wine industry. concludes that will rely integrating advanced traditional practices, emphasizing interdisciplinary collaboration real-time processing ensure adaptability uncertain climate.

Language: Английский

Citations

0

The Impact of Artificial Intelligence on Research Efficiency DOI Creative Commons
Mitra Madanchian, Hamed Taherdoost

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104743 - 104743

Published: April 1, 2025

Language: Английский

Citations

0