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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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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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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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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Four major tasks of data science
September 2021
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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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Building patients’ trust in psychologists in online mental health communities
March 2022
Sufferers’ mental illnesses experience changes in communication, cognition, and behavior, exposing differences in social behavior and relationships. Many who suffer from mental health problems notice...
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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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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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Examining urban-rural differences in the impact of Internet use on older adults’ depression: evidence from China
March 2022
Both Internet use’s impact on depression and urban-rural disparities related to information and communication technologies (ICTs) are crucial topics in the information systems discipline. So far, limited...
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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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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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A novel self-learning approach to overcome incompatibility on TripAdvisor reviews
March 2022
Among social media networks, TripAdvisor acts as the main role because everyone is eager to share and review their thoughts on their travel experiences in different destinations. Sentiment analysis...
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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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Analysis of commodity traceability service effects on the purchase behavior of consumers using an evolutionary game model
December 2022
Blockchain-based commodity traceability is an emerging technology developed in recent years; it plays a vital role in monitoring product quality and responding to product safety problems. Considering...
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Assessing spread risk of COVID-19 in early 2020
December 2022
A novel coronavirus emerged in late 2019, named as the coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). This study was originally conducted in January 2020 to estimate the...
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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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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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Data analytics for optimizing extreme fast charging: a survey
March 2021
Electric vehicles have become a trend as a replacement to gasoline-powered vehicles, and been promoted by worldwide policy makers as a solution to combat environmental problems and stimulate economy....
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Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease
December 2021
Clinical methods are used for diagnosing COVID-19 infected patients, but reports posit that, several people who were initially tested positive of COVID-19, and who had some underlying diseases, turned...
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Profiling the digital divide of the elderly based on Internet big data: evidence from China
September 2021
The integrated development of population aging and digital information age has brought an insurmountable “digital divide” to the elderly. We propose a method to profile the digital divide of the elderly...
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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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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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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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