Search Results - "big data analytics"

Objective: to systematize fundamental, clinical, and epidemiological data on the oncoprotective effects of chondroprotectors: chondroitin sulfate (CS), glucosamine (including glucosamine sulfate, GS), and undenatured type II collagen (UC-II).Material and methods. A systematic computer analysis of 61...

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ABSTRACT The study aimed to evaluate the key barriers and challenges hindering AI‐BDA adoption in humanitarian supply chains in Ghana and South Africa. Guided by the sociotechnical systems theory, a descriptive research design was employed, utilizing structured surveys to collect quantitative data f...

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Small and medium enterprises (SMEs) are crucial drivers for the socio-economic growth and prosperity of the country. However, the sustainability of SMEs is significantly impacted by abrupt climatic changes and an increasingly competitive environment. The study aims to investigate the relationships o...

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This study’s relevance comes from adapting accounting for digital transformation and big data (BD). BD and big data analytics (BDA) are now widely accepted terms for large datasets. Analyzing and managing these datasets requires innovative methods. Accountants meet many obstacles when using analytic...

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Disease diagnosis is the identification of an health issue, disease, disorder, or other condition that a person may have. Disease diagnoses could be sometimes very easy tasks, while others may be a bit trickier. There are large data sets available; however, there is a limitation of tools that can ac...

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The experience of using digitalization indexes to assess the digitalization level of the economy has been summarized: it is advisable to use interval indexes that allow us to divide countries into groups according to the digitalization level. Using the linear regression model developed by the author...

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The article is devoted to the problems of statistics transformation due to the appearance of new types of statistical observation which allows accumulating, processing and transfering big volumes of information at high speed. The modern stage of improvement in statistics is connected with the develo...

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The experience of Japanese experts in using big data analytics to reduce credit risk when financing small and medium-sized enterprises has been reviewed. Three multiple regression models were used to predict the likelihood of medium-sized enterprises default. The results of the study have showed, th...

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Batteries are crucial for decarbonising energy storage and mitigating climate change. As the battery industry expands, it faces increasing complexity due to accelerated innovation cycles, rising competition, and growing technological diversity, emphasising the need for cost-effective strategic decis...

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Recent advancements in science focus on the study and development of algorithms that can learn from and make predictions and decisions based on data collected through intelligent devices. Big data analytics, AI, and software defined networking help to drive the management of data and usage of the e...

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Current development and management of economic activity is largely associated with the implementation of the concept of the digital economy, which poses new challenges for business intelligence. The set of tasks is formed in order to develop business intelligence so that it matches the improved mana...

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<i>Background:</i> This study examines the application of Artificial Intelligence (AI) and Big Data Analytics (BDA) in enhancing humanitarian supply chain resilience, focusing on Ghana and South Africa. Despite their potential, AI-BDA applications are underexplored in disaster response,...

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Traffic crashes are a leading cause of death and injury worldwide, with far-reaching societal and economic consequences. To effectively address this global health crisis, researchers and practitioners rely on the analysis of crash data to identify risk factors, evaluate countermeasures, and inform r...

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<i>Background</i>: The supply chain ecosystem is becoming fragile and difficult to manage due to the complexities in its interlinked functions such as planning, procurement, production, logistics, distribution, and sales. Recently, organizations have started embarking on “Industry 4.0 te...

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The purpose of this study is to investigate the impact of entrepreneurial leadership (EL) on project success (PS) through the mediating roles of big data analytics (BDA), team reflexivity (TR), team innovation culture (TIC), and team entrepreneurial passion (TEP). Using importance-performance map an...

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The convergence of automation, big data analytics (BDA), artificial intelligence (AI), and machine learning (ML) has ushered in a new era of technological advancement, reshaping industries, and societies worldwide. This review research work delves into the transformative impact of these technologies...

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The recent pandemic, geopolitical instability, and unforeseen crises have profoundly disrupted global supply chains, igniting a critical need to reevaluate and enhance supply chain resilience strategies. In response, researchers have extensively explored the role of big data analytics in bolstering...

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The International Research Network (IRN) indicator, introduced in the QS (Quacquarelli Symonds) World University Rankings 2024, has generated notable volatility and regional disparities in global university standings. This paper presents a systemic analysis of the IRN indicator across three ranking...

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The exponential growth of video data across domains such as surveillance, transportation, and healthcare has raised critical challenges in scalability, real-time processing, and privacy preservation. While existing studies have addressed individual aspects of Video Big Data Analytics (VBDA), an inte...

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The theoretical foundations of digital transformation in enterprise management have been substantiated in the article under conditions of dynamic market changes and globalization. It has been demonstrated that the traditional model of managerial processes and certain measures for the implementation...

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