This data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. A dataset of 165 documents from the Scopus database was used. This study explored various aspects, including annual publication counts, country coupling, source numbers, primary research areas, co-occurrence of keywords, bibliographic linkages between sources and documents, and co-citation patterns of references. Bibliographic network mapping techniques were applied to analyze the data. The analysis was performed using VOSviewer and the Bibliometrix R package, software tools for scientific mapping. The results showed four main themes of the mobile money dataset: mobile money in Africa, financial inclusion, electronic money, and digital financial services.

This study aims to assess the trends in smart tourism systematically. From a bibliometric perspective, this study aims to investigate the research trends and map smart tourism worldwide visually. A bibliometric analysis was conducted on 176 relevant documents from the Scopus database. The research methodology includes co-word and co-citation analyses to assess the productivity, impact, and performance of countries, journals, authors, and research institutions. The study shows that the number of publications increases yearly, with the United Kingdom, Spain, China, and South Korea emerging as the top contributors. Keyword analysis identified four prominent research themes, characterized by 32 keywords with a least six occurrences. The clusters are (1)-ST destination management and tourist behaviour in the digital age; (2)-ST and sustainability in rural and heritage destinations; (3)-The impact of digital technology and digitalization on the tourism industry during and after the pandemic; (4)-ST and digital transformation in experience and sustainable development. Co-citation analysis of cited authors yielded a network of three clusters: Technology and Information Systems in ST, User Interaction and ST Experience, ST Development, and Digital Technology Application. The study’s limitations include focusing only on the Scopus database without incorporating systematic review and content analysis. However, the authors believe that the findings capture the overall intellectual framework of the study because of the selection criteria used to determine which databases to analyze. The findings indicate that smart tourism research is still at a developmental stage, and notable knowledge gaps persist. This study aims to advance scholarly understanding and provide practical implications for stakeholders.

Received: 28 February 2026; Revised: 24 March 2026; Accepted: 15 April 2026; Published: 12 June 2026 Smart tourism technology (STTs) is increasingly being used by agritourism locations in Vietnam to help travellers prior to, during, and following their travels. However, there is little empirical data on how digital technologies function that affect visitors' intentions to return, especially in rural and agritourism. Based on the expectation-confirmation paradigm and smart tourism studies, this study looks at how STTs, novelty-seeking behaviour, and travel anxiety affect visitors' satisfaction and, consequently, their propensity to return to Vietnam's agritourism sites. A structured survey of 230 agritourism visitors was used to gather primary data, which was then analysed using Partial least squares structural equation modeling (PLS-SEM) with bootstrapping and an Importance–performance map analysis (IPMA) to determine practical improvement goals. The results show that the main factor influencing the propensity to return is visitor pleasure. STTs enhance pleasure through immersion and reassurance, while novelty-seeking boosts experiential value. Notably, travel anxiety is positively correlated with satisfaction, suggesting that in technology-mediated contexts, moderate levels of apprehension may enhance information engagement and appreciation when expectations are adequately met. IPMA emphasises that satisfaction and novelty-related experiences are crucial factors in enhancing revisit intentions, while also underscoring the need to ensure dependable access to information and prompt digital assistance. By establishing STTs as pivotal drivers within the expectation-confirmation framework, this study elucidates how digital systems shape tourists' cognitive and emotional paths toward loyalty, offering destination managers and platform providers strategic blueprints for enhancing revisit intentions through technology-driven experience design and service quality.

This book chapter systematically assesses digital distance learning trends and maps global research developments from a bibliometric perspective. Using co-word and co-citation analyses, 529 Scopus-indexed documents (2009–2024) were examined to evaluate research productivity, impact, and scholarly networks. Findings reveal a significant rise in publications, particularly post-2017, with peaks in 2023, driven by digital education adoption and the COVID-19 pandemic. The U.S., U.K., Germany, and Indonesia emerged as leading contributors. Three key research themes were identified: (1) digital learning and e-learning, (2) digital transformation in higher education and blended learning, and (3) COVID-19 and online learning. The study highlights evolving trends from technology integration (2021) to blended learning adaptation (2022). Limitations include reliance on Scopus without a systematic review. The chapter provides insights and contributes to academic and practical advancements in digital distance learning.

Bài viết này nhằm cung cấp một cái nhìn toàn diện về tình hình nghiên cứu ứng dụng công nghệ chuỗi khối trong hoạt động của các sàn giao dịch điện tử trong giai đoạn 2020–2025. Dữ liệu được thu thập từ cơ sở Web of Science và phân tích bằng phương pháp trắc lượng thư mục với sự hỗ trợ của phần mềm trực quan hóa. Trên cơ sở 31 bài báo học thuật, nghiên cứu xác định các xu hướng công bố, quốc gia và tạp chí có ảnh hưởng, cùng những chủ đề trọng tâm. Kết quả cho thấy công nghệ chuỗi khối giữ vai trò nổi bật trong đổi mới hoạt động sàn giao dịch điện tử. Phân tích đồng xuất hiện từ khóa làm rõ năm nhóm chủ đề chính: nền tảng công nghệ, quản trị bền vững, hiệu quả vận hành, hành vi người dùng và chiến lược dữ liệu. Đồng thời, nghiên cứu chỉ ra tính liên ngành ngày càng cao của lĩnh vực và một số khoảng trống như sự thiếu vắng nghiên cứu ở bối cảnh địa phương hay doanh nghiệp vừa và nhỏ. Những phát hiện này góp phần bổ sung cơ sở lý luận và thực tiễn cho việc xây dựng chiến lược ứng dụng chuỗi khối trong thương mại điện tử, đồng thời gợi mở hướng đi cho các nghiên cứu tiếp theo.