The Application of Sem–Neural Network Method to Determine the Factors Affecting the Intention to Use Online Banking Services in Vietnam

Pham, An Ha Thi; Pham, Dong Xuan; Thalassinos, Eleftherios; Le, Hoang Anh

doi:10.3390/su14106021

Cited by 9 publications

(7 citation statements)

References 51 publications

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“…Regarding individual users and how they accept using technology to access online services, the UTAUT2 paradigm is more pertinent. The UTAUT2 model connects numerous discoveries that social commerce, technological, and behavioral aspects have the greater explanatory capacity for predicting use behavior [9], such as the acceptance of mobile payment [27]- [30], m-commerce [31], metaverse [32], [33], travel tracking mobile application [34], mobile finTech service [35], health information application [36]- [38], and online mobile banking [39], [40].…”

Section: Methodsmentioning

confidence: 99%

The Extension of the UTAUT2 Model: A Case Study of Indonesian SMEs Acceptance of Social Commerce

Arista,

Tjahjanto,

Ernawati

et al. 2023

JOIV : Int. J. Inform. Visualization

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An entirely updated e-commerce platform referred to as Social Commerce was developed in response to the rise in social media use. Social commerce integrates interactions between buyers and sellers made possible by social media platforms and Web 2.0 technology. It is frequently seen as a subfield of e-commerce. Social commerce has been successfully introduced in developing countries. Many businesses around the world are small and medium enterprises (SMEs). For instance, SMEs in Indonesia can contribute up to 60.34% of the country's GDP and have a substantial labor pool. Using social commerce as an e-commerce platform can significantly improve the operational efficiency of small and medium-sized enterprises (SMEs). However, little empirical research has specifically examined how SMEs embrace social commerce. Given the high level of concern, further research is required. Therefore, the current study experimentally examined how local SMEs in rural Indonesia introduced social commerce. The study was modeled using the Unified Theory of Technology Acceptance and Use (UTAUT) 2 model and several previous studies. SmartPLS 4 software was used to model and evaluate data using partial least squares structural equation modeling (PLS-SEM). The findings of the 114 samples showed that relative advantage, social support, facilitation conditions, and the government's support of social commerce influenced behavioral intention to use social commerce. Behavioral intention to use social commerce influences the actual use of social commerce. The findings of this study can help local governments and policymakers develop social trade promotion regulations to help potential SMEs and entrepreneurs gain long-term business support.

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Section: Methodsmentioning

confidence: 99%

The Extension of the UTAUT2 Model: A Case Study of Indonesian SMEs Acceptance of Social Commerce

Arista,

Tjahjanto,

Ernawati

et al. 2023

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…With the advent of deep learning, these hand-crafted features took a back seat, and researchers turned these tasks over to convolutional neural networks (Pham et al, 2022). Facial recognition is a category of biometric software that mathematically maps a person's facial features and stores the data as a facial print.…”

Section: Literature Reviewmentioning

confidence: 99%

A Real-Time Autonomous Machine Learning System for Face Recognition Using Pre-Trained Convolutional Neural Networks

Maj,

Korzeniak,

Stoklosa

et al. 2024

ERSJ

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Purpose: This paper aims to present a novel real-time, autonomous machine learning system for face recognition. This system employs pre-trained convolutional neural networks for encoding facial images and applies a Naive Multinomial Bayes model for autonomous learning and real-time classification. Design/Methodology/Approach: The system leverages a pre-trained ResNet50 model to encode facial images from a camera, while cognitive tracking agents collaborate with machine learning models to monitor the faces of multiple people. A novelty detection algorithm based on a Support Vector Machine (SVM) classifier checks whether a detected face is new or already recognized. The system autonomously starts the learning process if an unrecognized face is identified. Real-time classification of individuals relies on a Naive Multinomial Bayes model, with special agents tracking each face. Findings: Experiments demonstrated that the system can accurately learn new faces appearing within the camera frame in favorable conditions. The key determinant of successful recognition and learning is the novelty detection algorithm, which, if it fails, may assign multiple identities or group new individuals into existing clusters. Practical Implications: This system offers a practical solution for real-time, autonomous face recognition, with potential applications in security, access control, and personalized services. Its ability to quickly learn new faces while maintaining classification accuracy ensures adaptability in dynamic environments. Originality/Value: The research introduces an innovative approach by combining pretrained neural networks with autonomous learning and a novelty detection algorithm to classify faces in real-time. This hybrid method ensures rapid and accurate face recognition while minimizing the need for extensive training data or prolonged training times.

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“…The academic literature typically examines a wide range of emerging market topics, with typical research areas covering different aspects of economic development, investment and capital markets, managing business in conditions of heightened political, social and legal risk, and the legal use of modern knowledge and technology (Casanova, 2018;Do et al, 2022;Ahmed et al, 2021;Pham et al, 2022;Pociovalisteanu et al, 2009;.…”

Section: Literature Reviewmentioning

confidence: 99%

Emerging Markets as Key Drivers of the Global Economy

Rubaj

2023

ERSJ

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Purpose: Rapid economic and demographic development of emerging markets signifies that their importance in the world economy is growing steadily in the 21st century, as evidenced by their growing share of world GDP. These markets are undoubtedly becoming the main centres of the world economy. Countries such as China, India, and Brazil have brought cutting-edge innovations to the world rendering the global market increasingly competitive. The aim of the publication is to present the factors determining the dynamic development of emerging markets and their current and future importance in the global economy. Design/Methodology: The methodology used in the publication is based on the analysis of literature and statistical sources, presentation of available international reports relating to the problem of the role and importance of emerging markets in the modern world. This topic is extended by statistical analyses and descriptive descriptions of presented economic problems. Findings: The role and importance of the current leaders of global economic growth is declining and the countries in question are encountering a diminishment in rankings pertaining to global significance. There is no doubt that, in the near future, the economies of emerging countries will be the main driving force of global economic growth. The article confirms this thesis by presenting relevant substantive arguments. Practical implications: The publication has a very up-to-date theoretical and practical dimension, and its conclusions can be applied both theoretically, in the sense of continuing research, as well as practically in relation to business activities in the markets of emerging countries. Originality/value: The publication analyses and forecasts the current and future importance of emerging market countries in terms of their role and importance in the global economy. It is an important voice in the debate on the changing balance of power in the world in economic, demographic and social dimensions.

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The Application of Sem–Neural Network Method to Determine the Factors Affecting the Intention to Use Online Banking Services in Vietnam

Cited by 9 publications

References 51 publications

The Extension of the UTAUT2 Model: A Case Study of Indonesian SMEs Acceptance of Social Commerce

The Extension of the UTAUT2 Model: A Case Study of Indonesian SMEs Acceptance of Social Commerce

A Real-Time Autonomous Machine Learning System for Face Recognition Using Pre-Trained Convolutional Neural Networks

Emerging Markets as Key Drivers of the Global Economy

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