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?
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.
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 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.
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.
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.
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.
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.
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.
Findings highlight trust and word of mouth as the strongest drivers, with significant roles for website quality, social media influence, pricing, and promotions.
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.
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.
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.
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.
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.
This research explores the transformative influence of Artificial Intelligence on various industries, such as software engineering, automation, education, accounting, mining, legal services, and media, and underscores the importance of crucial skill sets, such as technical proficiency and adaptability, to successfully adopt AI.
The study identifies patterns among EU countries based on their digital technology adoption, innovation expenditures, and revenues and the proportion of enterprises engaged in innovation activities and highlights the central role of digital technologies in enhancing innovation and competitiveness.
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.
A systematic literature review of empirical research on consumer behavior in iVR retail environments by focusing on experimental studies employing the Stimulus‐Organisms‐Responses (S‐O‐R) model as the underlying theoretical framework helps to better comprehend consumer behavior within each theme.
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.
Among factors that can improve work engagement and resilience to reduce turnover include conducting regular engagement assessments, fostering positive workplace cultures, employing flexible scheduling practices, and offering resources for personal and professional development.
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