Tạp chí Khoa học Đại học Huế: Kinh tế và Phát triển

CUSTOMER PERCEPTION AND ACCEPTANCE OF CHATBOTS IN CUSTOMER SERVICE: CASE STUDY AT VNPT HUE

2024-11-04T07:32:46+00:00

The authors conducting this research aim to explore consumer acceptance of chatbots in customer service in VNPT Hue. Based on data collected from 185 users through a convenience sampling approach, the study utilized SPSS 20.0 software to perform descriptive statistical analysis. The results indicate that consumers have a relatively positive perception of chatbots, and there are four factors influencing the chatbot adoption. Certain administrative implications are proposed to help increase awareness and use of chatbot services in the telecommunications industry.

THE EVOLUTION OF AGRITOURISM: A COMPREHENSIVE ANALYSIS OF INFLUENCING FACTOR

2025-05-05T03:15:35+00:00

In recent years, agritourism has captured significant interest from researchers due to its potential for fostering sustainable development in rural areas and preserving local cultures. However, comprehensive analyses of the factors influencing the growth of this sector remain limited. This study employs Bibliometric and content analysis methods using the Scopus database, covering 427 articles published from 1991 to 2025 through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline to provide a clearer and more comprehensive picture of agritourism development. The findings indicate a global increase in publications and international collaboration efforts, particularly among countries like the United States, Italy, China, Japan, and South Korea. Co-occurrence and thematic evolution analyses reveal a shift from traditional rural experiences to high-tech, sustainable tourism models, highlighting trends in digital marketing and personalized tourist experiences. The knowledge framework developed from this study integrates factors from both the demand side, such as tourists' perceptions of sustainability and their use of technology, and the supply side, which includes infrastructure development, human resources, resilience, and community engagement. This research significantly contributes to a deeper understanding of the dynamics shaping agritourism, offering valuable insights for policymakers, researchers, and practitioners seeking to advance sustainable agritourism development.

EWOM IN THE TOURISM AND HOSPITALITY INDUSTRY: A BIBLIOMETRIC ANALYSIS USING CITESPACE

2024-11-06T02:17:43+00:00

A thorough literature review is essential for systematizing and evaluating prior studies, as it helps identify knowledge gaps and guide future research directions. This study employs the CiteSpace scientometric analysis tool to comprehensively assess the academic works on eWOM in the tourism and hospitality industry. The bibliometric analysis, based on 932 articles indexed in the Web of Science Core Collection and Scopus from 2000 to September 2024, reveals that eWOM profoundly impacts activities within the tourism and hospitality sectors. Four major research themes are identified, including studies on the role and relationship of eWOM with tourists' decision-making, eWOM and sustainable tourism, eWOM, and new technological applications in the tourism and hospitality industries. Additionally, the study suggests future research directions, emphasizing the need to explore further the impact of emerging technologies, social media platforms, and consumer psychology on behavior in the tourism and hospitality sectors.

LIVE STREAMING AND SALES PROMOTION IN ONLINE IMPULSIVE BUYING BEHAVIOR: A BIBLIOMETRIC NETWORK ANALYSIS

2025-04-29T09:14:03+00:00

Online impulsive buying behavior is an area that has attracted much attention. Customers are heavily influenced by tools and promotions on online shopping platforms, especially live streaming in recent years. Due to the growth and importance of this area, our study was designed to investigate its development trends. With data including 260 articles from 2001 to 2024 collected on the SCOPUS database, we conducted bibliometric analysis and network analysis using the Biblioshiny of R Studio package and VOSviewer software to identify the research trend and emerging research themes. The trend of research is presented by descriptive analyses, including annual growth of articles, the most impactful author, distributions, and topic keywords. In addition, network analysis helps to identify prominent research clusters: (i) impulsive buying in live streaming; (ii) factors affecting online impulsive buying; (iii) hedonic values and emotional responses; (iv) social interaction, trust, and influencers; and (v) psychological drivers. Then, some of the research gaps include looking at the impact of live streaming and advertising together, the ability to diversify and combine elements/groups of elements, focusing on different customer demographics, interaction-based research, focusing on research on e-commerce platforms, and the impact of artificial intelligence, machine learning, and virtual reality on online impulse buying behavior.

DO IMPROVED CROPPING PATTERNS INCREASE INCOME OF FARMERS IN THE SANDY AREA OF HAI LANG DISTRICT?

2025-06-16T09:53:36+00:00

Crop production in the sandy area of Hai Lang district is transforming, shifting from traditional mono-cropping models to improved cropping patterns such as annual intercropping, annual crop rotation, and mixed patterns of intercropping and rotation. This study estimated the income effect of the adoption of improved cropping patterns, using primary data collected from a sample survey of 186 households from two selected communes in a sandy area of the district. It was found that farmers’ likelihood of adoption of improved cropping patterns is significantly affected by the age of the household head, the household’s wealth status, the plot area, participation in extension training, and access to credit. Using the propensity score matching approach, the income effect of adoption was estimated. The adopters at the study site attained income that is 20–25% greater than matched non-adopters.

FACTORS AFFECTING GENERATION Z DIRECT LABOR ENGAGEMENT: A CASE STUDY OF FOREIGN DIRECT INVESTMENT COMPANY - SCAVI HUE

2025-08-07T03:42:32+00:00

This study investigates factors affecting direct labor engagement among Generation Z employees at SCAVI Hue Company, one of the foreign direct investment companies located in Hue City. Based on the survey data of 142 Gen Z direct laborers at SCAVI Hue, applying qualitative and quantitative methods, the study identified six statistically significant factors influencing labor engagement. The study also indicated that colleagues and leadership are the most significant influencing factors, followed by compensation and benefits, working environment, work nature, training and development, and finally corporate social responsibility.

English

2025-07-14T08:51:25+00:00

This study examines the drivers of carbon dioxide (CO₂) emissions efficiency in Vietnam, focusing on the relationship between economic growth (GDP–gross domestic product), industrial output (IND), access to electricity (ELC–proportion of population with reliable and affordable electricity), and urbanization (URB– share of population living in urban areas). We employ time‑series econometric methods on annual data for Vietnam (1990–2020). The method of Autoregressive Integrated Moving Average (ARIMA) and an Autoregressive Distributed Lag (ARDL) model are employed for estimating. The ARDL framework is used to capture both short–run dynamics and long‑run equilibrium relationships. Key findings show that long‑run electricity access is significantly associated with lower CO₂ emissions intensity, while long‑run urbanization significantly raises emissions intensity. Historical persistence of emissions is also evident. These results suggest that policies promoting clean electricity expansion and sustainable urban planning can reduce CO₂ emissions per unit of GDP while supporting development.

PHÁT TRIỂN THANG ĐO THỰC HÀNH LOGISTICS XANH: CÁC NGHIÊN CỨU TRƯỜNG HỢP TRONG CÁC DOANH NGHIỆP DỊCH VỤ LOGISTICS

2025-10-08T01:36:07+00:00

Nghiên cứu này nhằm mục đích xây dựng và kiểm định thang đo Thực hành Logistics Xanh cho các doanh nghiệp dịch vụ logistics. Bằng cách kết hợp phương pháp nghiên cứu định tính thông qua phỏng vấn chuyên gia và phương pháp định lượng với phân tích nhân tố khám phá (EFA) và phân tích nhân tố khẳng định (CFA) trên dữ liệu khảo sát từ 178 doanh nghiệp logistics tại Huế, Quảng Trị, nghiên cứu đã xây dựng thành công thang đo gồm 25 biến quan sát. Các biến này được nhóm thành năm yếu tố chính: Bao bì xanh, Hiệu quả sử dụng nhiên liệu, Tối ưu hóa tuyến đường, Đo lường phát thải carbon và Logistics xanh ngược. Nghiên cứu kết luận rằng thang đo Thực hành Logistics Xanh được xây dựng là đáng tin cậy, có giá trị và có thể áp dụng để đánh giá thực hành logistics xanh trong bối cảnh các doanh nghiệp dịch vụ logistics tại Việt Nam, thể hiện cả giá trị lý thuyết lẫn khả năng ứng dụng thực tiễn.