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POOR HOUSEHOLDS’ CREDIT ACCESSIBILITY: THE CASE OF RURAL VIETNAM Dao, Ha Thi Thieu; Kim, Nguyen Thien; Mai, Nguyen Thi
ASIAN JOURNAL FOR POVERTY STUDIES (AJPS) Vol 1, No 2 (2015)
Publisher : Regional Network on Poverty Eradication

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper examines determinants of accessibility to rural poor households in Vietnam from the viewpoint of policy makers, credit institutions and poor households. From supply side annual report of provider will be cited, from demand side, VHLSS primary data provided by GSO will be used. Beside that semi-structured questionnaire survey will be conducted to collect qualitative information. Logit model is employed to investigate the determinants of their outstanding loan. The quantitative model’s results express that age, education, regional differentiation, industrial differentiation, land, asset affect to credit access of poor households. The qualitative analysis finds out some recommendations for adjustment the poverty reducing credit policy
ChatGPT Usage for Academic Purposes and Influencing Factors Among Students at Hanoi Medical University, Vietnam Kieu, Luu Thi Thu; Vinh, Phan Huu; Mai, Nguyen Thi; Linh, Trinh Khanh; Dai, Tran Xuan; Hanh, Tran Ngan; Linh, Nguyen Ngoc; Hang, Le Thanh; Giang, Hy Minh; Anh, Vu Thi Phuong; Thanh, Pham Cong; Son, Dang Cong; Dat, Le Minh
Health Dynamics Vol 2, No 5 (2025): May 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20502

Abstract

Background: The advancement of artificial intelligence (AI) has unveiled numerous opportunities in medical education, with ChatGPT emerging as a prevalent learning support tool. However, the adoption rate and the determinants associated with the integration of ChatGPT among medical students remain under-researched. Methods: A cross-sectional study was conducted on 335 medical students at Hanoi Medical University. Data was collected using an online questionnaire in KoboToolbox, employing a convenience sampling method. The data was analyzed using Stata 17.0, employing descriptive statistics and multivariate logistic regression to examine the relationship between demographics, knowledge, and attitudes toward ChatGPT. Results: The results showed that 73.4% of students had used ChatGPT, with 68.7% using it to complete assignments and 61% believing that the tool helped save time and effort. However, only 17.9% were aware of ChatGPT's limitations. Positive knowledge and attitudes towards ChatGPT increased the likelihood of using the tool. Students with a good academic performance level were 3.25 times more likely to use ChatGPT than excellent students (OR=3.25; p=0.013), and the Dentistry department had the highest usage rate, 4.53 times higher than the General Medicine department. Conclusion: Medical students use GPT chat at a comparatively high rate. Integrating this tool into medical education requires specific guidelines to maximize benefits while ensuring accuracy and ethics.
The Role of Wildlife Corridors in Maintaining Biodiversity and Ecosystem Services Nam, Le Hoang; Anh, Nguyen Tuan; Mai, Nguyen Thi
Journal of Selvicoltura Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i5.1670

Abstract

Wildlife corridors are critical for maintaining biodiversity and ecosystem services, especially in fragmented landscapes. These corridors facilitate species movement, promote genetic diversity, and enhance ecosystem resilience. Understanding their role is essential for effective conservation strategies in the face of habitat loss and climate change. This research aims to assess the effectiveness of wildlife corridors in supporting biodiversity and providing essential ecosystem services. The study seeks to identify key factors influencing the success of these corridors and their impact on wildlife populations and ecosystem health. A mixed-methods approach was employed, combining quantitative data from ecological surveys with qualitative insights from stakeholder interviews. Field studies were conducted in various ecosystems with established wildlife corridors, focusing on species movement patterns, population dynamics, and ecosystem service assessments. Findings indicate that wildlife corridors significantly enhance biodiversity by facilitating species dispersal and reducing isolation. The study revealed increased species richness and improved ecosystem services, such as pollination and seed dispersal, in areas connected by corridors. Stakeholder feedback highlighted the importance of community involvement in corridor management. This study concludes that wildlife corridors play a vital role in maintaining biodiversity and enhancing ecosystem services. Effective management and community engagement are essential for the success of these corridors. Policymakers and conservationists must prioritize the establishment and maintenance of wildlife corridors to mitigate the impacts of habitat fragmentation and support ecological health.  
Human Error vs. System Security: Evaluating the Weakest Link in Digital Business Information Systems Mai, Nguyen Thị; Khalid, Iman
Journal of Management and Informatics Vol. 4 No. 3 (2025): December Season | JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v4i3.305

Abstract

The perennial question in digital business cybersecurity concerns whether human error or technical system vulnerabilities constitute the greater threat to organizational information systems and thus should receive priority in security investment. This study empirically examines this issue by identifying the weakest link in contemporary digital business environments. The study offers a theoretical contribution by integrating Human Error Theory, Socio-Technical Systems Theory, and the ISO 27001 framework into a unified analytical model for evaluating organizational information security weaknesses. Using an explanatory sequential mixed-methods design, quantitative data were collected from 217 information technology professionals, complemented by 15 in-depth interviews and an analysis of security incident records. The results indicate that human error (M = 3.82) is significantly more prevalent than technical system vulnerabilities (M = 2.94), as confirmed by a paired t-test (t(216) = 5.734, p < .001). Structural Equation Modeling further reveals that workload pressure and insufficient practice-based training significantly contribute to human error (β = 0.58, p < .001). Qualitative findings highlight cognitive overload, training gaps, and social engineering as dominant contributing factors. The study demonstrates that human error should not be interpreted merely as individual negligence but as an outcome of more profound organizational and socio-technical weaknesses. These findings support a strategic shift toward human-centered and socio-technical cybersecurity approaches to enhance organizational digital resilience.