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Data analytics is the essential component in deriving insights from data obtained from multiple sources. It represents the technology, methods and techniques used to obtain insights from massive datasets. As data increas...

IntroductionThis study examines the impact of Customer Big Data Analytics (CBDA) on customer satisfaction and firm performance in business-to-business (B2B) firms operating in emerging markets, specifically Pakistan. Des...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

Abstract Artificial intelligence (AI) applications are having increasing impacts in the biomedical sciences. Modern AI tools enable uncovering hidden patterns in large datasets, forecasting outcomes, and numerous other a...

Research that integrates Learning Analytics (LA) with formative feedback has been shown to enhance student individual learning processes and performance. Debates on LA-based feedback highlight the need to further underst...

Data analytics are an increasingly popular method for talent identification, and are used for a variety of decision making purposes, such as rotations and playing time. However, coaches often rely on their perceptions an...

ABSTRACT Background Limited universally‐adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing informati...

This paper provides a data-driven approach to apply lessons learned from Project Risk Management in the aviation industry. This is accomplished by performing a qualitative analysis to inform a second-pass quantitative an...

This article provides a comprehensive analysis of the impact of digital transformation on the system of international management, which is undergoing fundamental changes under the pressure of globalization, rapid technol...

The Theory of Planned Behavior (TPB) is a widely applied theoretical framework for predicting individual intentions and behaviors. However, its application in the knowledge payment domain remains limited. Existing studie...

This research investigates the integration of Artificial Intelligence (AI) into the implementation of the United Nations Convention on the Law of the Sea (UNCLOS) to enhance the effectiveness of maritime dispute resoluti...

Digital transformation has brought significant changes to the fields of health and education, with artificial intelligence (AI) technologies emerging as one of the most prominent components of this shift. Generative AI t...

The performance of lithium-ion batteries is critical across a range of applications, including portable devices, electric vehicles, and energy storage systems. Effective diagnostics of these battery systems require evalu...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Internal auditing is increasingly recognized as a vital mechanism for fostering transparency and accountability within the public sector, particularly in emerging economies like Vietnam. However, the rapid onset of digit...

This article presents operational data from turboexpander units (TEU) wherein a stable temperature gradient across both the turboexpander and the turbocompressor coexists with its power imbalance. A hypothesis attributin...

Measuring employee job satisfaction in hospitals in the digital era shows that digital technologies, such as online survey platforms, mobile applications, and data analytics, have increased the efficiency of data collect...

The study investigates the Return on Investment (ROI) of Continuous Education (CE) initiatives in business organizations situated in the country of Georgia, focusing on their financial and non-financial impacts. Through ...

This article emphasizes the critical importance of public administration effectiveness during a full-scale war, highlighting the capacity of government to respond efficiently to security challenges, maintain public order...

This study investigates the challenges and responses involved in shaping China’s national image through intercultural communication within the landscape of new media. It focuses on problems like cultural misunderstandi...

The heterogeneity of the network at the edge creates unequal bandwidth availability for clients connected through diverse networks and devices. This variability can lead to bandwidth fluctuations and slow response times,...

Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and ide...

Recently, higher education has undergone significant changes due to the use of digital technologies and innovations. The use of innovative platforms, hybrid models and online services cannot overcome the requirements of ...

The article highlights that the synergetic relationship between macroeconomic indicators and logistics efficiency shapes the trajectory of startup ecosystems and global economies. By leveraging tools such as the Logistic...