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Open access

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

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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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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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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Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning

The Internet of things (IoT) is a wireless network designed to perform specific tasks and plays a crucial role in various fields such as environmental monitoring, surveillance, and healthcare. To address...

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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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Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks

Many types of real-world information systems, including social media and e-commerce platforms, can be modelled by means of attribute-rich, connected networks. The goal of anomaly detection in artificial...

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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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Hybrid scientific article recommendation system with COOT optimization

Today, recommendation systems are everywhere, making a variety of activities considerably more manageable. These systems help users by personalizing their suggestions to their interests and needs. They...

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Data- and management-driven metaverse research

The metaverse has become a very important phenomenon in society because of the emergence of new technologies. The widespread adoption of the metaverse has generated significant discussions about the...

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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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Divide and recombine approach for warranty database: Estimating the reliability of an automobile component

The continuously updated database of failures and censored data of numerous products has become large, and on some covariates, information regarding the failure times is missing in the database. As...

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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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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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User-Centric Avatar Design: A Cognitive Walkthrough Approach for Metaverse in Virtual Education

Metaverse, once a concept confined to science fiction, has emerged as a transformative reality during the digital era. As this immersive virtual world gains prominence, the role of avatars and the digital...

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Trust and involvement of Cameroonian software developers in open-source projects

Although recent studies have examined collaboration within open-source software projects, the focus has primarily been on their motivations and governance. This study explores the complex dynamics of...

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Will China’s carbon-trading policy foster coordinated innovation in green technologies?

Accelerating green innovation is crucial for achieving high-quality development in China. Despite this importance, empirical evidence on the harmonization techniques in the context of carbon-trading...

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Trust Framework for Self-Sovereign ID in Metaverse Health Care Applications

The research community and digital sector are currently engaged in the development of diverse services within the metaverse ecosystems. Conversely, as concerns about safeguarding personal privacy mount,...

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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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Analysis of digital twin and its physical object: Exploring the efficiency and accuracy of datasets for real-world application

The concept of “digital twin” has recently gained popularity due to its ability to create a virtual representation of systems in order to improve the performance of its cyber-physical counterpart. This...

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Comparative analysis of manual and annotations for crowd assessment and classification using artificial intelligence

Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods...

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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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Dynamic relationship between volume and volatility in the Chinese stock market: evidence from the MS-VAR model

Since market uncertainty, or volatility, serves as a crucial gauge for assessing the traits of market fluctuations, the link between stock market volume and price continues to be a focal point of interest...

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Audiovisual speech recognition based on a deep convolutional neural network

Audiovisual speech recognition is an emerging research topic. Lipreading is the recognition of what someone is saying using visual information, primarily lip movements. In this study, we created a custom...

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Hybrid distributed feature selection using particle swarm optimization-mutual information

Feature selection (FS) is a data preprocessing step in machine learning (ML) that selects a subset of relevant and informative features from a large feature pool. FS helps ML models improve their predictive...

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Using machine learning to identify primary features in choosing electric vehicles based on income levels

An electric vehicle is becoming one of the popular choices when choosing a vehicle. People are generally impressed with electric vehicles’ zero-emission and smooth drives, while unstable battery duration...

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