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.
This paper tries to answer the question: How does ICT affect the leadership in virtual teams?
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.
The empirical results show that the technology context (IT infrastructure and digital tools) along with the existing level of innovation are the main drivers that act as stepping stones in digital technology adoption.
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.
The analysis shows that the ES method surpasses the accuracy of the GB machine learning for material forecasting to minimize inventory, and gives practitioners a practical roadmap for the optimal forecasting strategy to streamline inventory management operations.
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.
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.
The empirical results reveal that perceived employee capability, perceived availability of financial support, perceived top management support, perceived cost, perceived complexity, and perceived relative advantage are positively associated with SMEs' AI-based chatbot adoption intention.
This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan and identified that BDA-AI significantly and positively affects GSCC, SM and EPI.
This paper introduces a new class of cooperative games that arise from production-inventory problems, where several agents have to cover their demand over a finite time horizon and shortages are allowed.
High EQ can improve the authors' communications with all others, enhance their perception of satisfaction with ourselves and their lives and increase their productiveness overall.
The idea herein suggested fits smoothly into existing supply chain frameworks for data-driven decisions that make companies remain agile in ever-changing market dynamics and helps build up the robustness of a given supply chain.
This article provides an overview of the diverse AI models and algorithms employed in logistics optimization, with a focus on sustainable practices, and explores emerging trends in AI-driven logistics optimization, such as the integration of real-time data analytics, blockchain technology, and autonomous systems.
Findings highlight trust and word of mouth as the strongest drivers, with significant roles for website quality, social media influence, pricing, and promotions.
The AI Risk Repository is the first attempt to rigorously curate, analyze, and extract AI risk frameworks into a publicly accessible, comprehensive, extensible, and categorized risk database that creates a foundation for a more coordinated, coherent, and complete approach to defining, auditing, and managing the risks posed by AI systems.
This article will identify predictions for the top 20 fitness trends in the United States and across the globe for 2024 and use data to inform health and fitness business decisions and professional development.
This study enhances the existing discourse on DT and green innovation by furnishing empirical substantiation for the non-linear influence exerted by DT on green innovation, and imparts insights into the mechanisms and contextual limitations governing this association.
Key findings reveal that AI is not merely a technological tool but a strategic asset that significantly redefines business decision-making, and its role in business decision-making is expected to shape the corporate landscape significantly.
This review delves into the intricate landscape of sentiment analysis, exploring its significance, challenges, and evolving methodologies and examines crucial aspects like dataset selection, algorithm choice, language considerations, and emerging sentiment tasks.
This comprehensive review has addressed the state-of-the-art practices in Industry 4.0 and the transitional phase of Industry 5.0, and highlighted the most promising key enabling technologies, trends, research topics, rising challenges, and unfolding opportunities that can help prepare society for this paradigm shift.
The study results provide significant contributions to the development of a context-specific paradigm for AI ethics that prioritizes concepts such as transparency, fairness, and accountability.
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