Vehicular networks play a key role in Intelligent Transportation System (ITS) that makes transportation safer and more convenient. Most applications in ITS require information carried by basic safety messages (BSMs) to be exchanged periodically among vehicles. However, BSMs are vulnerable to different types of attacks, especially, jamming attack due to their limited short message length and life span. In this paper, we analyze the impact of jamming attack on BSMs and initially propose a random channel surfing scheme on attempting to react to the attack. The scheme is investigated by extendible mathematical model and simulation in NS-3. Obtained results provide a reference to design an optimal channel surfing scheme that adapts to its supported applications.

This study aims to explore and evaluate the factors influencing Gen Z’s intention to choose green tourism destinations in Hanoi, Vietnam. The paper proposes a comprehensive analytical framework by integrating the Stimulus-Organism-Response (S-O-R) model and the Theory of Planned Behavior (TPB). A mixed-method approach was employed, in which quantitative data were collected from 269 Gen Z respondents in Hanoi and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique through SmartPLS. The findings reveal that external environmental stimuli, including green destination image (GDI) and social media influence (SMI), positively affect individuals’ internal psychological states, namely environmental awareness (EA), attitude toward green tourism (ATT), and subjective norms (SM). These psychological states, in turn, exert positive effects and strongly promote Gen Z’s intention to choose green tourism destinations in Hanoi. This study not only contributes to filling the theoretical gap in sustainable tourism consumption behavior in the digital era but also provides practical managerial implications for policymakers and tourism businesses in developing communication strategies and tourism products that align with the preferences and expectations of younger generations.

To investigate the factors influencing the entrepreneurship intention of generation Z youths in Vietnam, the research team utilized a quantitative research method which base on data from a survey of 353 Vietnamese youths, of which 311 were either currently involved in entrepreneurship, preparing for entrepreneurship, or intending to engage in entrepreneurship. Using the SMARTPLS software, the study found that, with a confidence level of 95%, “Perceived behavioral control” (PBC) had the strongest impact on the e-entrepreneurship intention of Vietnamese generationZ, with an influence level of 0.439. Following this, the “Social influence” (SIN) factor demonstrated a significant impact of 0.224. At a confidence level of 90%, the “Expectation of success” (EXSU) factor showed an influence of 0.126, while the “Attitude towards E- entrepreneurship” (ATTE) factor exhibited an influence of 0.089. Additionally, the “Entrepreneurship education” (EDED) and “Entrepreneurship competence” (ENTC) factors did not yield statistically significant results regarding their influence on the dependent variable, “E-entrepreneurship iIntention of Vietnamese generation Z” (EEINT). Based on research results, the research team proposed discussions aimed at promoting and supporting youths to enhance the effectiveness of their electronic entrepreneurship projects

This research aims to identify and evaluate factors affecting the job satisfaction of officers who are working at the Vietnam State Bank. This is the agency performing the state management of monetary, banking and foreign exchange operations; issuing money, banking of credit institutions, and providing monetary services to the Vietnam Government. With the survey and opinion analysis of 252 officers, the research results have shown 6 groups of factors affecting job satisfaction of employees including Nature of work; Working conditions; Evaluation of work performance; Wages and welfare; Training and promotion opportunities; Relationships at the workplace. Besides, some individual characteristics of workers also affect job satisfaction. The analysis and evaluation of factors affecting employee satisfaction contribute to the development and implementation of effective measures to improve job satisfaction of the officers, create labor motivation, and bring higher labor productivity.