This study analyzes the influence of five primary factors—inflation, capital ratio, deposits, non-performing loans, and bank size—on the performance of banks in Vietnam. Our sample encompasses 26 commercial banks from 2014 to 2023. The analysis incorporates data sourced from commercial banks’ financial statements and annual reports. Our findings indicate that banks with higher capital ratios and sizes generally exhibit superior performance. Moreover, inflation positively influences the performance of Vietnamese commercial banks throughout the selected timeframe. In contrast, non-performing loans and deposits are inverse to bank performance. Our findings offer novel insights into the factors influencing bank performance in a growing economy like Vietnam, along with recommendations for Vietnamese commercial banks and the State Bank of Vietnam to implement effective methods to improve bank performance.

The integration of chatbots in the financial sector has significantly improved customer service processes, providing efficient solutions for query management and problem resolution. These automated systems have proven to be valuable tools in enhancing operational efficiency and customer satisfaction in financial institutions. This study aims to conduct a systematic literature review on the impact of chatbots in customer service within the financial sector. A review of 61 relevant publications from 2018 to 2024 was conducted. Articles were selected from databases such as Scopus, IEEE Xplore, ARDI, Web of Science, and ProQuest. The findings highlight that efficiency and customer satisfaction are central to the perception of service quality, aligning with the automation of the user experience. The bibliometric analysis reveals a predominance of publications from countries such as India, Germany, and Australia, underscoring the academic and practical relevance of the topic. Additionally, essential thematic terms such as “artificial intelligence” and “advanced automation” were identified, reflecting technological evolution in this field. This study provides significant insights for future theoretical, practical, and managerial developments, offering a framework to optimize chatbot implementation in highly regulated environments.

Infrastructure decision-making has traditionally been focused on the use of cost-benefit analysis (CBA) and multicriteria decision analysis (MCDA). Nevertheless, there remains no consensus in the infrastructure sector regarding a favored approach that comprehensively integrates resilience principles with those tools. This review focuses on how resilience has been evaluated in infrastructure projects. Initially, 400 papers were sourced from Web of Science and Scopus. After a preliminary review, 103 papers were selected, and ultimately, the focus was narrowed down to 56 papers. The primary aim was to uncover limitations in both CBA and MCDA, exploring various strategies for amalgamating them and enhancing their potential to foster resilience, sustainability, and other infrastructure performance aspects. Results were classified based on different rationalities: i) objectivist, ii) conformist, iii) adjustive, and iv) reflexive. The analysis revealed that while both CBA and MCDA contribute to decision-making, their perceived strengths and weaknesses differ depending on the chosen rationality. Nonetheless, embracing a broader perspective, fostering participatory methods, and potentially integrating both approaches seem to offer more promising avenues for assessing the resilience of infrastructures. The goal of this research proposal is to devise an integrated approach for evaluating the long-term sustainability and resilience of infrastructure projects and constructed assets.

This study focuses on the competency structure factors of elementary school English teachers under China’s new curriculum standards, aiming to reveal the core competencies that teachers should possess in the context of education in the new era. Through the comprehensive application of qualitative interviews and quantitative questionnaire survey methods, this study provides an in-depth analysis of the competency structure of primary English teachers. It was found that the competency structure of elementary school English teachers is mainly composed of six dimensions: professionalism, personality traits, teaching ability, student views, teaching organization strategy and research ability. These dimensions work together to influence teachers’ teaching effectiveness and students’ learning effectiveness. The study also found that there were significant differences in the competency characteristics of elementary school English teachers across gender, teaching experience and educational qualifications. In general, this study provides a theoretical basis and practical guidance for the professional development of elementary school English teachers, which can help to improve the quality of teachers’ teaching and promote the comprehensive development of students.