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.
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.
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.
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 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.
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.
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.
Findings highlight trust and word of mouth as the strongest drivers, with significant roles for website quality, social media influence, pricing, and promotions.
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 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.
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 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.
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 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.
This research explores the application of machine learning (ML) and artificial intelligence (AI) techniques to enhance the security of digital finance by detecting fraudulent activities in credit card transactions and cryptocurrency wallets within the USA.
This article explores how SMEs may leverage digital servitization to escape from a disrupted market and provides a set of research and managerial implications on how SMEs can overcome market disruption in the manufacturing context through digital servitization and business model innovation.
Recommendations are made that advocate the use of ensembles and deep learning techniques, as well as the adoption of explainable methods to drive further advancements in churn prediction, and suggest that research on the profitability aspect of churn prediction models is under-researched.
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