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Human Rights and Saudi Vision 2030: A Critical Analysis of Legal, Social, and Institutional Transformations
Safran Almakaty
Posted: 18 November 2025
Mapping the Citation Landscape of Libyan Journals: A Google Scholar-Based Evaluation
Ahmed Atia
,Eshraq Alsherif
,Arwa Tomzini
Posted: 18 November 2025
Classroom Action Research-Based Learning Innovations: Kemmis and McTaggart Models
Torang Siregar
Posted: 20 October 2025
The Embassy of Yâsincizâde Abdülvehhâb Efendi to Iran (1810–1813)
Hasan Tan
Posted: 25 September 2025
Methodology for the Analysis of Drought in Subtropical Crops with Remote Sensing and Predictive Models: Application in the Semi-Arid Region Southern Spain
David Carruana-Herrera
,Federico B. Galacho-Jiménez
,José D. Ruiz-Sinoga
This paper proposes a methodology based on the combined application of climate indices for precipitation and temperature along with multispectral Sentinel 2 imagery, used to generate vegetation indices that serve to diagnose the condition of subtropical irrigated crops through a predictive model. These crops demand significant irrigation, and in Mediterranean semi-arid environments, where water scarcity and drought periods are increasingly frequent and severe, this presents a serious problem. The aim of this methodological proposal is to address the need to adjust cultivated areas to actual water availability. It is now evident and necessary to implement efficient management of agricultural practices, avoiding the expansion of irrigated areas when there is not enough water available. As a result of this work, the climatic interrelation with the real condition of the crops is demonstrated.
This paper proposes a methodology based on the combined application of climate indices for precipitation and temperature along with multispectral Sentinel 2 imagery, used to generate vegetation indices that serve to diagnose the condition of subtropical irrigated crops through a predictive model. These crops demand significant irrigation, and in Mediterranean semi-arid environments, where water scarcity and drought periods are increasingly frequent and severe, this presents a serious problem. The aim of this methodological proposal is to address the need to adjust cultivated areas to actual water availability. It is now evident and necessary to implement efficient management of agricultural practices, avoiding the expansion of irrigated areas when there is not enough water available. As a result of this work, the climatic interrelation with the real condition of the crops is demonstrated.
Posted: 15 September 2025
The Implications of the European Commission's Funding Programs in Increasing National Safety and Security, with a Focus on the Regions Adjacent to the Danube
Otilia Manta
,Teodor Emanuel Petreanu
Posted: 05 August 2025
Integrating Climate Scenarios into Global Banking Strategy: A Catalyst for Sustainable Transition
Otilia Manta
,Aurora Cojocariu
Posted: 04 August 2025
Understanding Agribusiness Innovation and Transformation Through Evolutionary Economics: Evidence from Three Diverse National Innovation Systems
Zenebe Uraguchi
Posted: 16 June 2025
Historiography and Death Toll of World War I and World War II Famines in Iran
Mohammad Gholi Majd
Posted: 09 June 2025
Regional Insights into Single-Use Plastic Usage and Disposal: A Comparative Study of Five Asian Cities
Chen Liu
,Qiannan Zhuo
,Yujiro Ishimura
,Yasuhiko Hotta
,Chika Aoki-Suzuki
,Atsushi Watabe
Posted: 16 April 2025
A Comprehensive Literature Review on Saudi Arabia's Efforts in Combating Violence, Extremism, and Terrorism
Safran Almakaty
Posted: 20 March 2025
The Transfer of Managerial Expertise in Romanian Companies Through the Application of the Dematel Method
Otilia Manta
,Laura-Georgeta Baragan
In the digital era, the rapid acceleration of change necessitates that organizations cultivate adaptability as a core capability. To maintain a competitive edge, businesses must develop agile structures that facilitate continuous learning, foster innovation, and enable dynamic responses to shifting market conditions. Digital transformation and globalization have intensified the need for leveraging data, automation, and advanced analytics as strategic assets, reinforcing information’s central role in the knowledge economy. This study advances research on knowledge transfer by investigating the critical factors influencing the dissemination of managerial know-how within organizations. Utilizing the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, the research systematically maps the causal relationships between key enablers and constraints, offering a more nuanced understanding of how managerial knowledge flows in technology-driven business environments. By identifying the most influential drivers, this study provides actionable insights for enhancing knowledge transfer efficiency and optimizing organizational adaptability.CCS Concepts: Mathematics of computing • Applied computing ➝ Machine learning, social and behavioral sciences ➝ Digital economy.
In the digital era, the rapid acceleration of change necessitates that organizations cultivate adaptability as a core capability. To maintain a competitive edge, businesses must develop agile structures that facilitate continuous learning, foster innovation, and enable dynamic responses to shifting market conditions. Digital transformation and globalization have intensified the need for leveraging data, automation, and advanced analytics as strategic assets, reinforcing information’s central role in the knowledge economy. This study advances research on knowledge transfer by investigating the critical factors influencing the dissemination of managerial know-how within organizations. Utilizing the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, the research systematically maps the causal relationships between key enablers and constraints, offering a more nuanced understanding of how managerial knowledge flows in technology-driven business environments. By identifying the most influential drivers, this study provides actionable insights for enhancing knowledge transfer efficiency and optimizing organizational adaptability.CCS Concepts: Mathematics of computing • Applied computing ➝ Machine learning, social and behavioral sciences ➝ Digital economy.
Posted: 13 March 2025
The Variety of Financial Instruments and the Role of Family Farms Worldwide
Otilia Manta
Posted: 27 February 2025
Unveiling the Influence of Senior Sailors’ Transformational Leadership on Junior Sailors’ Work Commitment and Efficiency
Otilia Manta
,Eglantina Hysa
,N.L. S Deshapriya
,W.P.R Wickramaratne
Posted: 24 February 2025
Banking Transformation Through FinTech and the Integration of Artificial Intelligence in Payments
Otilia Manta
,Valentina Vasile
,Elena Rusu
In the context of rapid advancements in financial technologies and the evolving demand of the digital economy, this study explores the transformative impact of FinTech and artificial intelli-gence (AI) on the banking sector, with a particular focus on payment systems. By examining inno-vative financial instruments and AI-driven solutions, the research investigates how these technol-ogies enhance efficiency, security, and customer experience in banking operations. The study evaluates the integration of AI in payment systems, including its role in predictive analytics, fraud detection, and personalization, while aligning with global trends in digital transformation and sustainability. Adopting an interdisciplinary approach, the analysis highlights scalable and resilient strategies that address emerging challenges in the financial ecosystem. The findings provide a comprehensive framework for leveraging AI and FinTech to drive the evolution of banking services, supporting the transition toward a more innovative, digitalized, and sustainable financial future.
In the context of rapid advancements in financial technologies and the evolving demand of the digital economy, this study explores the transformative impact of FinTech and artificial intelli-gence (AI) on the banking sector, with a particular focus on payment systems. By examining inno-vative financial instruments and AI-driven solutions, the research investigates how these technol-ogies enhance efficiency, security, and customer experience in banking operations. The study evaluates the integration of AI in payment systems, including its role in predictive analytics, fraud detection, and personalization, while aligning with global trends in digital transformation and sustainability. Adopting an interdisciplinary approach, the analysis highlights scalable and resilient strategies that address emerging challenges in the financial ecosystem. The findings provide a comprehensive framework for leveraging AI and FinTech to drive the evolution of banking services, supporting the transition toward a more innovative, digitalized, and sustainable financial future.
Posted: 19 February 2025
FinTech and AI as Opportunities for a Sustainable Economy
Vasile Valentina
,Manta Otilia
The need for a sustainable economy has grown as technological advancements increasingly influence economic and social structures. This study investigates the role of FinTech and artificial intelligence (AI) in fostering sustainable development by facilitating green initiatives and promoting social responsibility. The research hypothesis posits that FinTech enables better access to financing for economic and social development projects, while AI enhances decision-making processes critical to the implementation of these initiatives. Through a qualitative approach, the study analyzes the interactions between FinTech, AI, and the Sustainable Development Goals (SDGs), exploring whether their relationship is bilateral or unidirectional. The findings suggest that both technologies play a significant role in supporting sustainability, with FinTech providing the necessary financial tools and AI optimizing decision-making. Furthermore, the study identifies barriers, such as regulatory challenges and technological gaps, that hinder the full integration of these technologies into sustainable development practices. It also highlights facilitators, such as policy support and technological innovation, that accelerate their adoption. The conclusions emphasize the transformative potential of FinTech and AI in achieving robust economic growth, reducing inequalities, and fostering a new cultural approach to resource management and societal responsibility.
The need for a sustainable economy has grown as technological advancements increasingly influence economic and social structures. This study investigates the role of FinTech and artificial intelligence (AI) in fostering sustainable development by facilitating green initiatives and promoting social responsibility. The research hypothesis posits that FinTech enables better access to financing for economic and social development projects, while AI enhances decision-making processes critical to the implementation of these initiatives. Through a qualitative approach, the study analyzes the interactions between FinTech, AI, and the Sustainable Development Goals (SDGs), exploring whether their relationship is bilateral or unidirectional. The findings suggest that both technologies play a significant role in supporting sustainability, with FinTech providing the necessary financial tools and AI optimizing decision-making. Furthermore, the study identifies barriers, such as regulatory challenges and technological gaps, that hinder the full integration of these technologies into sustainable development practices. It also highlights facilitators, such as policy support and technological innovation, that accelerate their adoption. The conclusions emphasize the transformative potential of FinTech and AI in achieving robust economic growth, reducing inequalities, and fostering a new cultural approach to resource management and societal responsibility.
Posted: 19 February 2025
The History of Cost Accounting in Healthcare Organisations
Paula Marques
,Paulo Alexandre Teixeira Faria Pereira de Oliveira
Posted: 10 February 2025
Preserving and Promoting Saudi Heritage Nationally and Globally: The Role of the Saudi Heritage Commission
Safran Almakaty
Posted: 07 January 2025
The Impact of Market Challenges on Adoption of Transitional Beehive in Ethiopia
Amente Negussa Bayata
Posted: 31 December 2024
Exploring the Influence Mechanisms and Spatial Heterogeneity of Urban Vitality Recovery in the University Fringe Areas of Nanjing
Zhen Cai
,Dongxu Li
,Binhe Ji
,Huishen Liu
,Shougang Wang
Posted: 27 November 2024
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