https://digital.lib.ueh.edu.vn/handle/UEH/11 2026-07-29T13:59:22Z https://digital.lib.ueh.edu.vn/handle/UEH/78637 Title: An analysis of energy efficiency of various ships sailing in the European Economic Area waters Author(s): Chien Chang Chou; Van Dung Nguyen; Ren Jun Huang Abstract: The study aims to understand the interaction relationship between ship emissions and ship type, port of registry, and country of registry, and to advance the empirical understanding of ship energy efficiency. This study applied ANOVA methods to examine the relationship between over 7000 ships’ emissions and various types of ships in 170 ports of registry and 70 countries of registry. This study has important findings. First, gas carriers and general cargo ships are typically the highest CO₂ emitters per transport work, while bulk carriers and oil tankers are the lowest. Second, Madeira and Valletta ports exhibit significantly higher emission intensity. In contrast, Nassau and Piraeus ports have relatively lower emissions. Third, Portugal and Malta are among the countries having higher emissions than most of the countries studied. In contrast, Greece has lower emissions. Fourth, emissions differ by ship type, port of registry, and by country of registry. 2026-01-01T00:00:00Z https://digital.lib.ueh.edu.vn/handle/UEH/78638 Title: Blockchain-enabled green traceability for sustainable organic food: Impacts on trust, value co-creation and willingness to pay a premium Author(s): Thong Minh Phan; Thu Duong Minh Le; Ly Thi Huong Nguyen; Hieu Xuan Pham; Ngoc-Hong Duong Abstract: Consumers are giving sustainability and transparency more weight when making decisions about what to buy as a result of the ongoing digital transformation and growing environmental concerns. The purpose of this study was to investigate how consumers’ willingness to pay more for sustainable products is impacted by blockchain affordances, specifically transparency, traceability, and immutability. This was accomplished by employing a blockchain-integrated prototype app to simulate real-world decision-making scenarios in a scenario-based survey of 834 participants interested in sustainable products in Vietnam. The proposed relationships were clearly analyzed using Structural Equation Modeling (SEM). The results showed that the blockchain affordances significantly improved the quality of information, systems, and products. The perceived values in this study increased consumer well-being, promoted value co-creation, and fostered trust, thereby increasing consumers’ willingness to pay. In addition, this study also suggested that blockchain accessibility affects consumers’ perceived values. Some of the effects are also improved by information-seeking behavior. To better understand how blockchain technologies can promote trust, facilitate co-creation, and support the growth of green brands, the study theoretically combines the Information Systems Success Model with Service-Dominant Logic. In fact, the results of this study offer valuable guidance for businesses in developing transparent, consumer-centric blockchain applications, thereby encouraging responsible, ethical consumer behavior in the context of sustainable development, especially in developing countries. 2026-01-01T00:00:00Z https://digital.lib.ueh.edu.vn/handle/UEH/78633 Title: Design and Evaluation of a Smart Graduate Recruitment Filtering System Based on BDOBD Model: Practical Application in Vietnam Author(s): Thi Thu Hoa Le; Hoang Bao Ngoc Nguyen; Minh Dung Tran; Thi Tuong Vy Nguyen; Tam Dan Vo; Manh Tuan Nguyen Abstract: Digital transformation in higher education and human resource development is creating many difficulties for graduate recruitment, especially in Vietnamese universities. Common problems include: data is scattered in many places, systems are not connected to each other, student records are not unified, and the checking and verification of degrees are slow and ineffective. This study proposes the publication of a Blockchain-Based Ontology-Supported Big Data (BDOBD) design study as a comprehensive information filtering system to address the stated problems. The proposed solution framework logically analyzes three core technologies: Big Data facilitates rapid high-volume application profile verification; Ontology maps application skills with tools required by employers; Blockchain provides registration, analysis, anti-fraud, information security, and prevents profile falsification. The system is built through a multi-tiered architecture and is detailed practically through simulation. Practical results show that this model has improved the accuracy of recruitment decisions. Furthermore, BDOBD reduces processing time and associated costs by approximately three parts, while ensuring transparency and reliability of data throughout the readiness filtering process. 2026-01-01T00:00:00Z https://digital.lib.ueh.edu.vn/handle/UEH/78635 Title: Borrowing under ESG reputational risk: Evidence from convertible debt Author(s): Trung K. Do; Anh Tuan Le Abstract: This paper examines how ESG reputational risk affects firms’ use of convertible debt financing. Using firm-level measures of ESG reputational risk derived from controversy-related news, we document that firms exposed to higher ESG risk rely significantly more on convertible debt. This relation is concentrated among firms facing higher borrowing costs and operating in environments characterized by limited corporate reputational capital, weaker institutional quality, and lower public awareness, consistent with a cost-of-debt substitution mechanism. Instrumental variable evidence based on press freedom and a quasi-natural experiment exploiting the Deepwater Horizon oil spill supports a causal interpretation. Our findings highlight security design as a key channel through which ESG reputational risk shapes corporate financing decisions. 2026-01-01T00:00:00Z