Development of a risk index for cross-border data movement
September 2022
Cross-border data transmission in the biomedical area is on the rise, which brings potential risks and management challenges to data security, biosafety, and national security. Focusing on cross-border...
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Machine learning-based approach: global trends, research directions, and regulatory standpoints
December 2021
The field of machine learning (ML) is sufficiently young that it is still expanding at an accelerating pace, lying at the crossroads of computer science and statistics, and at the core of artificial...
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Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis
June 2023
This study examines paper-level metrics in the literature on topics related to environmental, social and governance (ESG) to provide a research agenda for hotspots and trends. Based on 755 papers on...
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Explainable prediction of loan default based on machine learning models
September 2023
Owing to the convenience of online loans, an increasing number of people are borrowing money on online platforms. With the emergence of machine learning technology, predicting loan defaults has become...
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The influence of e-commerce live streaming affordance on consumer’s gift-giving and purchase intention
March 2023
In e-commerce live streaming, sellers choose the most suitable streamers to endorse their products. The streamer introduces the main functions of the goods, organizes marketing activities, improves...
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The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining
September 2021
The progress of IT technology such as social network and mobile payment and the change of social economic environment promote the emergence of sharing economy. As a subversive business model, the sharing...
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Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk
March 2021
With the integration of social media and e-commerce, social media review platforms provide consumers with a place to share information and create electronic word of mouth (e-WOM). Information from e-WOM...
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Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse
September 2023
Without a doubt, blockchain, as one of the most valuable technological advancements, has been introduced over the past decade and has played a significant role in the industrial revolution. The emergence...
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A combined forecasting method for intermittent demand using the automotive aftermarket data
June 2022
Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises....
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Systematic review of data-centric approaches in artificial intelligence and machine learning
September 2023
Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart algorithms have been developed to improve the performance of AI-oriented structures. However, model-centric...
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Cross-border electronic commerce’s new path: from literature review to AI text generation
March 2023
Digitization, informatization, and Internet penetration have led to a significant rise in cross-border e-commerce (CBEC), attracting considerable interest from academia, government, and industry. This...
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Data security governance in the era of big data: status, challenges, and prospects
June 2021
At present, the global big data industry is experiencing vibrant development with technological evolution and application innovation speeding up side by side. Novel technologies for data storage, computing...
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New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
June 2022
Accurate forecasting results are crucial for increasing energy efficiency and lowering energy consumption in wind energy. Big data and artificial intelligence (AI) have great potential in wind energy...
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The impact of the digital economy on the servitization of industrial structures: the moderating effect of human capital
September 2023
The digital economy, which was born during the late third technological revolution, has caused significant economic and societal changes. Amid sluggish global economic growth, China’s economy is facing...
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Tourism demand forecasting and tourists’ search behavior: evidence from segmented Baidu search volume
December 2021
Given the importance of web search volume for reflecting tourists' preferences for certain tourism services and destinations, incorporating these data into forecasting models can significantly improve...
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Time series clustering of COVID-19 pandemic-related data
June 2023
The COVID-19 pandemic continues to impact daily life worldwide. It would be helpful and valuable if we could obtain valid information from the COVID-19 pandemic sequential data itself for characterizing...
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Monitoring machine learning models: a categorization of challenges and methods
September 2022
The importance of software based on machine learning is growing rapidly, but the potential of prototypes may not be realized in operation. This study identified six categories of challenges for verification...
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Popular cryptoassets (Bitcoin, Ethereum, and Dogecoin), Gold, and their relationships: volatility and correlation modeling
December 2021
Cryptoassets have experienced dramatic volatility in their prices, especially during the COVID-19 pandemic era. This pilot study explores the volatility asymmetry and correlations among three popular...
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Data science: connotation, methods, technologies, and development
March 2021
The rapid development of big data breeds data science. Understanding and mastering the internal pattern of the value generation of big data is important for improving digitization and the covergence...
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A trajectory data warehouse solution for workforce management decision-making
June 2023
In modern workforce management, the demand for new ways to maximize worker satisfaction, productivity, and security levels is endless. Workforce movement data such as those source data from an access...
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Machine learning-based prediction models for patients no-show in online outpatient appointments
June 2021
With the development of information and communication technologies, all public tertiary hospitals in China began to use online outpatient appointment systems. However, the phenomenon of patient no-shows...
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A review on the gray market business using a data-driven approach
March 2021
This study provides a systematic overview of the literature in gray market business using a data-driven approach and points out several future research directions. The emergence of gray markets is discussed...
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Application of support vector machine algorithm for early differential diagnosis of prostate cancer
March 2023
Prostate cancer (PCa) symptoms are commonly confused with benign prostate hyperplasia (BPH), particularly in the early stages due to similarities between symptoms, and in some instances, underdiagnoses....
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Long-term forecasting of hourly retail customer flow on intermittent time series with multiple seasonality
September 2022
In this study, we address a demanding time series forecasting problem that deals simultaneously with the following: (1) intermittent time series, (2) multi-step ahead forecasting, (3) time series with...
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Novel method for ranking batsmen in Indian Premier League
September 2023
Sports analytics have benefited immensely from the growth and popularity of artificial intelligence and machine learning. These techniques enable sports analysts to evaluate player performance more...
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