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ISSN: 2666-7649
CN: 61-1530/TN
p-ISSN: 2097-3187

Investigating customer churn in banking: a machine learning approach and visualization app for data science and management

Customer attrition in the banking industry occurs when consumers quit using the goods and services offered by the bank for some time and, after that, end their connection with the bank. Therefore, customer...

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Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology

The purpose of this research is to examine the impact of artificial intelligence (AI) on customer performance and identify the factors contributing to its effectiveness by employing a quantitative approach,...

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Machine learning-based approach: global trends, research directions, and regulatory standpoints

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

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

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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Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk

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

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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The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining

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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Virtual manufacturing in Industry 4.0: A review

Virtual manufacturing is one of the key components of Industry 4.0, the fourth industrial revolution, in improving manufacturing processes. Virtual manufacturing enables manufacturers to optimize their...

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The influence of e-commerce live streaming affordance on consumer’s gift-giving and purchase intention

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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Systematic review of data-centric approaches in artificial intelligence and machine learning

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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Using multi-criteria decision-making and machine learning for football player selection and performance prediction: a systematic review

Evaluating and selecting players to suit football clubs and decision-makers (coaches, managers, technical, and medical staff) is a difficult process from a managerial-financial and sporting perspective....

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The relationship between attribute performance and customer satisfaction: an interpretable machine learning approach

Understanding the relationship between attribute performance (AP) and customer satisfaction (CS) is crucial for the hospitality industry. However, accurately modeling this relationship remains challenging....

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A combined forecasting method for intermittent demand using the automotive aftermarket data

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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Cross-border electronic commerce’s new path: from literature review to AI text generation

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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Secure approach to sharing digitized medical data in a cloud environment

Without proper security mechanisms, medical records stored electronically can be accessed more easily than physical files. Patient health information is scattered throughout the hospital environment,...

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Effects of economic factors on median list and selling prices in the U.S. housing market

This study investigates the effects of key economic factors on the median list price and median selling price in the U.S. housing market. Key economic factors such as interest rates, unemployment rates,...

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Engaging in sports via the metaverse? An examination through analysis of metaverse research trends in sports

In sports, virtual spaces are sometimes utilized to enhance performance or user experience. In this study, we conducted a frequency analysis, semantic network analysis, and topic modeling using 134...

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Data security governance in the era of big data: status, challenges, and prospects

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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Enhancing Cyber Threat Detection with an Improved Artificial Neural Network Model

Identifying cyber-attacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability...

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Determinants of continuous usage intention of branded apps in omni-channel retail environment: comparison between experience-oriented and transaction-oriented apps

Branded applications (apps) have become core touchpoints for improving consumer shopping experiences in omni-channel retailing, and many firms have developed different types of branded apps to provide...

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Metaverse application, flow experience, and Gen-Zers’ participation intention of intangible cultural heritage communication

With outstanding advantages in virtuality, immersion, connectivity, and openness, the application of the metaverse in the development of intangible cultural heritage has demonstrated great potential...

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Bibliometric analysis of the art market: from art price to market efficiency

This study addresses a significant gap in the existing literature by conducting a comprehensive systematic review of the art market over the past 50 years, utilizing big data analysis and bibliometric...

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Topic prevalence and trends of metaverse in healthcare: a bibliometric analysis

Metaverse technology is an advanced form of virtual reality and augmented technologies. It merges the digital world with the real world, thus benefitting healthcare services. Medical informatics is...

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Comparative study of IoT- and AI-based computing disease detection approaches

The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection....

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