Factors influencing Generation Z's intention to purchase sustainable clothing products in Vietnam.

The increasing awareness of environmental challenges has significantly influenced consumer behavior, with sustainable products, particularly sustainable clothing, becoming a top priority for Generation Z consumers. This study aims to investigate the factors influencing Generation Z's purchase intentions toward sustainable clothing in Vietnam, guided by the Stimulus-Organism-Response (SOR) model and Theory of Planned Behavior (TPB) frameworks. Specifically, it examines the effects of green perceived value, green perceived quality, perceived price, social influence, product design, environmental concern, and environmental knowledge on purchase intentions.

A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk.

Background: Student dropout rates are one of the major concerns of educational institutions because they affect the success and efficacy of them. In order to help students continue their learning and achieve a better future, there is a need to identify the risk of student dropout. However, it is challenging to accurately identify the student dropout risk in the preliminary stages considering the complexities associated with it.

Dataset on Vietnamese students' impulse buying behavior on TikTok shop.

This article aims to provide a dataset on the factors affecting the online impulse buying behavior of university and college students in Vietnam. The examined factors include scarcity (SC), serendipity information (SI), trust (TR), hedonic motivation (HM), shopping lifestyle (SL), and product presentation (PP). In particular, the survey focuses on impulse shopping behavior on TikTok Shop, a rapidly growing e-commerce platform that is increasingly popular among Generation Z in Vietnam and other Asian countries.

Electric field enhances the electronic and diffusion properties of penta-graphene nanoribbon anodes in lithium-ion batteries.

Enhancement of the ionic conductivity and reduction of diffusion barriers of lithium-ion batteries are crucial for improving the performance of the fast-growing energy storage devices. Recently, the fast-charging capability of commercial-like lithium-ion anodes with the smallest modification of the current manufacturing technology has been of great interest. We used first principles methods computations with density functional theory and the climbing image-nudged elastic band method to evaluate the impact of an external electric field on the stability, electronic band gap, ionic conductivity, and lithium-ion diffusion coefficient of penta-graphene nanoribbons upon lithium adsorption.

Compact and high isolated microstrip patch antenna system for full-duplex/MIMO applications.

This paper presents a two-port microstrip patch antenna system with compact size and high isolation for full-duplex and multiple-input-multiple-output (MIMO) applications. The proposed miniaturization approach is to employ compact microstrip patch antenna and decoupling network as well. Here, two quarter-wavelength patch antennas are arranged in the H-plane coupled configuration with element spacing of about 0.

Impacts of knowledge and trust on consumer perceptions and purchase intentions towards genetically modified foods.

Genetically Modified Foods (GMF) have emerged as a significant topic within the global food industry, provoking extensive debates over their safety and impact on consumer choices. This research aims to explore the impact of knowledge and trust in GMF on Vietnamese consumers' perceptions and their subsequent purchase intentions. By employing a quantitative methodology, this study gathered data from 424 valid respondents.

A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification.

Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its cost-effectiveness and non-ionizing radiation, has emerged as a promising tool for early breast cancer diagnosis. This article presents a hybrid model approach for breast cancer detection using thermography images, designed to process and classify these images into healthy or cancerous categories, thus supporting disease diagnosis.

A Broadband MS-Based Circularly Polarized Antenna Array Using Sequential-Phase Feeding Network.

This paper introduces the design of a circularly polarized metasurface-based antenna array for C-band satellite applications that owns broadband operation and high gain characteristics. The single radiating element comprises a Y-shape patch and an above-placed 2 × 2 unit-cell metasurface. Further improvement in operating bandwidth and broadside gain is achieved by arranging four single elements in a 2 × 2 configuration and a sequential-phase feed network.

Understanding the impact of tourist behavior change on travel agencies in developing countries: Strategies for enhancing the tourist experience.

The study investigates the impact of tourist behavior change on travel agencies in developing countries, with a focus on strategies for enhancing the tourist experience. The research aims to identify the main factors influencing tourist purchasing behavior and understand their relationship with the customer experience. Data were collected from 368 experienced tourists in Ho Chi Minh City and Hanoi, Vietnam, using a combination of convenience and random sampling.

A comprehensive study on factors influencing online impulse buying behavior: Evidence from Shopee video platform.

The rapid expansion of online commerce has significantly altered consumer behavior, particularly among digitally-savvy Generation Z individuals. This research analyzes the influence of product presentation videos on online impulsive buying behaviors in this demographic, using the Shopee video platform as a case study. The study aims to investigate how various external factors, including time pressure (TP), quantity pressure (QP), economic benefits (EB), social influence (SI), visual (VS), and sound (SO), affect online impulse buying by mediating emotions of arousal (AR) and pleasure (PL).

A novel method for identifying rice seed purity using hybrid machine learning algorithms.

In the grain industry, identifying seed purity is a crucial task because it is an important factor in evaluating seed quality. For rice seeds, this attribute enables the minimization of unexpected influences of other varieties on rice yield, nutrient composition, and price. However, in practice, they are often mixed with seeds from other varieties.

Navigating critical barriers for green bond markets using A fuzzy multi-criteria decision-making model: Case study in Vietnam.

As potent financial instruments channeling capital into climate and environmental projects, green bonds' issuance is frustrated by myriad obstacles. Therefore, this study aims to explore the critical barriers to green bond issuance in Vietnam. This study elucidates the salient barriers by utilizing an integrated multi-criteria decision-making methodology synthesizing the Fuzzy set theory-based Delphi, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and DEMATEL-based Analytic Network Process (DANP).

Happiness and job satisfaction: Dataset of general school teachers and administrators in implementing new curriculum.

This dataset explores the perception of happiness and job satisfaction among Vietnamese general school teachers and administrators (principals and vice-principles) in implementing a new curriculum. This study uses SPSS Statistics 26.0 and Exel to analyze data on the opinions of 782 general school teachers and administrators (principles and vice-principles) about satisfaction and happiness at work and influencing factors such as gender, age, experience, income, and workplace, workplaces, difficulties, sources of support when implementing new programs.

Why do generation X customers use wearable fitness technology equipment after recovering from coronavirus? The role of perceived health risks.

The health sector has prioritized the physical health of vulnerable Generation X individuals at high Coronavirus risk. Despite vaccination efforts, both infected and healthy people continue facing health threats. Unlike other industries devastated by COVID-19, wearable fitness technology equipment (WFTE) is essential for health-focused individuals.

A compact co-aperture dual-sense circularly polarized antenna for simultaneous transmit and receive systems.

This paper proposes a compact design of dual-sense circularly polarized (CP) antenna for simultaneous transmit (Tx) and receive (Rx) communication systems. The primary radiating aperture of the proposed antenna is a 2 × 2 unit-cell metasurface (MS). The MS is excited by the asymmetric patch in the center, which acts as the CP source of the whole antenna structure.

Electronic word-of-mouth (eWOM) on social networking sites (SNS): Roles of information credibility in shaping online purchase intention.

Electronic word of mouth (eWOM) on social networking sites (SNS) has become crucial in shaping online consumers' purchase intentions, reflecting the growing reliance on rich nature of user-generated content and recommendations shared on these platforms. This study aims to investigate the intricate relationships among different factors of eWOM information, including information credibility, information usefulness, information adoption, attitude towards information, and their impacts on online purchase intention. This study draws upon the Information Adoption Model (IAM) and the Information Acceptance Model (IACM) foundation theory which reveal the steps individuals take in adopting new information, and focuses on how perceptions and attitudes towards information shape acceptance.

Z-number based fuzzy MCDM models for analyzing non-traditional security threats to finance supply chains: A case study from Vietnam.

Non-traditional security (NTS) threats have a vast and profound impact on many aspects of economic, political, social, and many other areas, especially supply chain finance (SCF), particularly in countries like Vietnam, which potentially affects the economic efficiency of businesses' supply chain financial, thereby affecting the general economy of the country and the world. In order to prevent and minimize the negative impacts caused by NTS threats to SCF, this study was conducted to identify NTS threats affecting SCF in Vietnam, at the same time calculate the weight of the impact level and find out the cause and effect relationship between them. Solution strategies are also proposed and ranked, thereby serving as a reference basis for relevant parties to choose appropriate response solutions.

Optoelectronic Properties of Nitrogen-Doped Hexagonal Graphene Quantum Dots: A First-Principles Study.

Graphene quantum dots have been widely studied owing to their unique optical, electrical, and optoelectrical properties for various applications in solar devices. Here, we investigate the optoelectronic properties of hexagonal and nitrogen-doped graphene quantum dots using the first-principles method. We find that doping nitrogen atoms to hexagonal graphene quantum dots results in a significant red shift toward the visible light range as compared to that of the pristine graphene quantum dots, and the doped nitrogen atoms also induce a clear signature of anisotropy of the frontier orbitals induced by the electron correlation between the doped nitrogen atoms and their adjacent carbon atoms.

English as a foreign language students' acceptance of Google Classroom in writing classes: A case study in Vietnam.

Google Classroom is a virtual education platform created by Google that allows both instructors and learners to actively participate in educational environments inside and outside of the classroom in an innovative way. This research aims to determine how university students perceived the adoption of Google Classroom in writing classes. This research was a convergent parallel mix-methods approach in which data were gathered through a 5-point Likert scale questionnaire and semi-structured interviews.

Grain rot dataset caused by Burkholderia Glumae Bacteria.

The Burkholderia glumae bacterium causes bacterial grain rot in rice, posing significant threats to the crop's yield, particularly thriving during the rice flowering and grain filling stages. This disease is especially evident in rice grains before harvest, presenting challenges in the detection and classification of rice panicles. Firstly, diseased grains may mix with healthy ones, complicating their separation.

Dataset of concerns for privacy information practices and consumer behavior in online market: A survey in Vietnam.

This dataset presents survey results on concerns for consumer privacy information practises in business, online trust; and purchase intention in the online marketplace in Vietnam. The raw data was collected an online questionnaire of 467 respondents aged 18 and over recruited randomly. The survey included questions on demographic attributes as well as ratings and rankings for various statements related to privacy information concerns, such as Collection, Unauthorized secondary use (internal), Improper Access, Error; consumer online trust; and purchase intention when shopping online.

Factors impeding university students' participation in English extracurricular activities: Time constraints and personal obstacles.

The incorporation of extracurricular activities (ECAs) that focus on the English language is of utmost importance in higher education as it serves to improve students' interpersonal abilities and proficiency in language. The objective of this study is to ascertain the primary variables that serve as deterrents to the active engagement of university students in these activities. The results highlight notable barriers, including limited time availability and individual issues such as diminished self-assurance in social engagements and restricted competency in the English language.

Knowledge-intensive teamwork development through social media adoption after the COVID-19 pandemic in higher education institutions.

Although knowledge drives organizational growth, limited teamwork skills have hindered effective knowledge sharing and utilization across departments and individuals in higher education institutions (HEIs). Thus, this paper develops a pertinent knowledge-intensive teamworking model for HEIs. Educational background, leadership, and social media adoption were independent variables, while knowledge acquisition, development, application, revision, and knowledge-intensive teamwork were dependent variables.

First-principles study of highly sensitive graphene/hexagonal boron nitride heterostructures for application in toxic gas-sensing devices.

Graphene-based sensors exhibit high sensitivity, fast response, and good selectivity towards toxic gases but have low mechanical stability. The combination of graphene and two-dimensional hexagonal boron nitride (h-BN) is expected to increase the mechanical stability and enhance the adsorption performance of these gas sensors. Using first-principles calculations, we demonstrate that two-dimensional graphene/h-BN double layers can be used as good substrates for gas sensors with a small lattice mismatch of only 1.