A new measure of firm-level AI investments is proposed, using a unique combination of worker resume and job postings datasets, which reveals a stark increase in AI investments across sectors.
The key finding from this study demonstrates the need for continuous development of AI models that could be alert to the latest fraudulent activities and exploration of existing limitations of ML or DL-enhanced models.
The findings indicate that AI integration significantly improves SCM by improving demand forecasting, inventory management, and overall decision-making capabilities and underlines the importance of a balanced approach that integrates technological developments with human-centric and sustainable practices.
A review of the optimization techniques of LMD, focusing on Artificial Intelligence (AI) driven decision-making, IoT-supported real-time monitoring, and hybrid delivery networks, finds that the combination of AI and IoT improves predictive analytics, dynamic routing, and fleet management, but scalability and regulatory issues are still major concerns.
The study highlights the need for equitable governance frameworks to mitigate risks associated with AI-driven monopolization, algorithmic bias, and data privacy violations while ensuring digital accessibility for small and medium-sized enterprises (SMEs).
This study systematically reviews Model-Agnostic Explainable AI techniques, which can be applied across different types of ML models in finance, to evaluate their effectiveness, scalability, and practical applicability, and identifies key challenges.
The findings reveal a diverse classification of AI applications across strategic and operational SCM phases and highlight emerging techniques like explainable AI, neurosymbolic systems, and federated learning.
This review article aims to provide researchers, scientists, and industry professionals with a thorough introduction to QbD so they may adopt this methodical approach to developing and producing high-quality pharmaceutical products, always in compliance with the underlying regulations.
The research presents valuable insights both researchers and practitioners, facilitating the navigation of adoption barriers, capitalizing on enablers, and unlocking AI’s potential to reshape project management practices across industries.
It is shown that the UPF industry is a key driver of the problem, as its leading corporations and co-dependent actors have expanded and restructured food systems almost everywhere, in favour of ultra-processed diets.
This study provides a comprehensive understanding of AI and GAI's functionality and applications in the SCOM context, offering a practical framework for both practitioners and researchers and systematically identifies where and how AI and GAI can be applied in SCOM.
Theoretically, digital transformation theory reinforces digital transformation theory as a vital framework, whereas in practice, it invokes the strategic deployment of automation and integrated data application designs to underpin supply chain efficiency and competitiveness.
Evaluating the effect on the performance of small and medium enterprises (SMEs) of technological developments, including digital marketing, and the variables that affect the relationship revealed that digital marketing is essential for SME effectiveness, as a driver of digital transformation, leading to stronger economic results and an enlarged market presence.
This study explores the significance of continuous learning, interdisciplinary collaboration, and industry partnerships in nurturing a thriving AI-powered innovation ecosystem, and investigates how these pillars serve as the foundation for groundbreaking advancements, driving efficiency, enhancing decision-making processes, and fostering creativity within organizations.
Nine sustainability functions of Industry 4.0 that, when leveraged appropriately and in the correct order, can offer important implications for realising the economic and socio-environmental goals of Industry 5.0 are identified.
It is found that workload was associated with quiet quitting, turnover intention, and job burnout in nurses, and appropriate interventions should be applied to reduce nursing workloads to improve productivity and the healthcare provided to patients.
The findings of this study reveal that FRs significantly impact the SCA among SMEs, while GIS serves as a mediator in the relationship, and the interaction effect of AI adoption promotes sustainability development in this industry.
This study examines the development of integrated cybersecurity strategies with respect to technology, ethics, and regulations in the GCC countries and makes several major recommendations, calling for bringing the GCC countries’ regulatory frameworks into line with international standards; encouraging workforce training programs; and utilizing AI-powered technologies for proactive threat detection and management.
The results show that AI-powered approaches, particularly artificial neural networks (ANNs) enhance predictive accuracy and adaptability to complex, dynamic project environments, while machine learning and regression models still provide reliable results for specific applications.
It is shown that a rising Bitcoin price is followed by entry of new users, in particular among more risk-seeking segments of the population, and that when prices rise larger holders sell, likely making a return at retail users’ expense.
This paper proposes a framework grounded in collective intelligence and anchored in the foundational cognitive processes–reasoning, memory, and attention–to understand and engineer effective human–AI teams, and outlines design principles for achieving complementarity.
This review delves into the intersection of e-commerce and consumer behavior, focusing on the transformative role of Artificial Intelligence (AI)-powered personalization and its impact on market trends.
Findings of this study emphasise the pivotal role of NMs in driving EBP implementation through adaptive leadership, strategic resource management, and fostering learning networks in enhancing EBP uptake within resource-limited settings.
This paper tries to answer the question: How does ICT affect the leadership in virtual teams?
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