Factors Affecting Enterprise's Satisfaction toward Social Security's Online Public Service: The Case of Thanh Hoa Province, Vietnam

NGO, Chi Thanh,NGUYEN, Thi Ngoc Mai,NGUYEN, Duy Dat,LE, Hoang Ba Huyen,LE, Van Cuong,LE, Thi Binh Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.9

The study aims to investigate factors affecting enterprise's satisfaction and loyalty toward the Social Security's online public services, looking at the case of Thanh Hoa province, Vietnam. This study employs samples with 216 enterprises that use online public system of Thanh Hoa province's Social Security. The research model is closely linked to the SERVQUAL model developed by Parasuraman, Zeithaml and Berry (1988). We propose 23 scales that constitute the quality of service, three scales that constitute Customer Satisfaction and three components that constitute Customer Loyalty. This study use the tool of Exploratory Factor Analysis (EFA), Cronbach's Alpha test, Confirm Factor Analysis (CFA) and Structural Equation Modeling (SEM) in order to address the question of satisfaction and loyalty. The result shows that the factor with the most impact is Reliability, next is Capacity of staffs, Tangibles, Attitude of staffs, and the least impacting factor is Empathy; moreover, the results also show that Satisfaction has a strong impact on Customer Loyalty. The findings of this study suggest that Thanh Hoa province's Social Security should: (i) strengthen the reliability of online service system; (ii) build capacity for staffs; (iii) develop the responsiveness of electronic transactions systems; and (iv) improve the empathy of staffs.

Chemical constituents from Vietnamese mangrove <i>Calophyllum inophyllum</i> and their anti-inflammatory effects

Van Thanh, Nguyen,Jang, Hyun-Jae,Vinh, Le Ba,Linh, Kieu Thi Phuong,Huong, Phan Thi Thanh,Cuong, Nguyen Xuan,Nam, Nguyen Hoai,Van Minh, Chau,Kim, Young Ho,Yang, Seo Young Elsevier 2019 Bioorganic chemistry Vol.88 No.-

<P><B>Abstract</B></P> <P>In a search for anti-inflammatory activity in resources from Vietnamese mangroves, we found that a methanolic extract from the leaves of <I>Calophyllum inophyllum</I> (CIL) showed significant anti-inflammatory effects <I>in vitro</I>. Using various chromatographic techniques, we subsequently isolated 12 compounds (<B>1</B>–<B>12</B>) from a methanolic extract of CIL, including two novel compounds (<B>1</B>–<B>2</B>). The inhibitory effects of these compounds on lipopolysaccharide-induced nitric oxide (NO) production in RAW264.7 cells were also evaluated. Compound <B>1</B> significantly suppressed NO production (IC<SUB>50</SUB> = 2.44 ± 0.88 µM), the secretion of pro-inflammatory cytokines (including interleukin-1 beta and tumor necrosis factor alpha), and the expression of inducible nitric oxide synthase through downregulation of nuclear factor-kappa-B signaling cascades. These results suggest that <I>C. inophyllum</I> leaves might be a useful resource for the development of drugs for the treatment of inflammation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Twelve compounds were isolated from Vietnamese mangrove <I>Calophyllum inophyllum</I>. </LI> <LI> Two new compounds <B>1</B> and <B>2</B> were determined by spectroscopic methods. </LI> <LI> Compound <B>1</B> showed significant anti-inflammatory activity. </LI> <LI> These results suggested that <I>C. inophyllum</I> might useful as the anti-inflammation drug. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Relaxor characteristics of PSLZT-BMT-based ferroelectric material ceramics

Nguyen Van Thinh,Le Dai Vuong,Do Viet On,Truong Van Chuong,Le Vu Truong Son,Trinh Ngoc Dat,Le Van Thanh Son,Vo Thanh Tung 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.3

(1-x)[(Pb0.94Sr0.05La0.01)(Zr0.54Ti0.46)0.9975O3]-x[Bi(Mn1/2Ti1/2)O3] (PSLZT-BMT) ferroelectric material ceramics with x in therange of 0-0.05 mol were successfully synthesized following the conventional solid-phase route. The materials were thoroughlyinvestigated to study their structural phase, microstructure, ferro-piezoelectric characteristics, and dielectric behavior. Theexperimental results show that the density of the samples decreased from 7.75 to 7.58 g/cm3, and the relative density decreasedin the range of 98.48%-96.28%. However, with increasing contents of BMT, the dielectric and ferroelectric properties ofPSLZT-BMT ceramics tend to decrease, specifically the maximum dielectric constant (εmax) of PSLZT-BMT decreased in therange of 23579-9991 and the residual polarization (Pr) decreases in the range of 22.54-7.87 μC/cm2 when the doping contentincreased in the range of 0.0-0.05 mol. The diffusivity values (γ) of the PSLZT-BMT material are 1.74, 1.78, 1.82, 1.84, 1.79,and 1.77 when the doping content x varies as 0.0, 0.01, 0.02, 0.03, 0.04, and 0.05 mol, respectively, which is characteristic ofrelaxor ferroelectric materials. Besides, the Tm, TB, TC-W, and C values depend on BMT concentration, and the trend decreases.

Brand Anthropomorphism, Brand Reputation, and Consumer Engagement in the Distribution of Smartphone Brands

Ngoc Dan Thanh NGUYEN(Ngoc Dan Thanh NGUYEN ),Trong Phuc NGO(Trong Phuc NGO ),Ngoc Van MAI(Ngoc Van MAI ),Kim Ngan TRA(Kim Ngan TRA ),Tran Huy Hoang LE(Tran Huy Hoang LE ) 한국유통과학회 2023 유통과학연구 Vol.21 No.4

Purpose: This study aims to analyze the impact of Brand Anthropomorphism and Intimacy on Brand Engagement, and at the same time analyze the regulatory effect of Brand Reputation on the relationship between Brand Anthropomorphism and Intimacy and the relationship between Intimacy and Brand Engagement in terms of distribution brand. Results: The findings show that Brand Anthropomorphism, Intimacy, and Brand Reputation are important value factors in customers’ minds toward their behavior, and from there, they will contribute to creating positive emotions and interactions between consumers and brands. Research design, data, and methodology: This article used the quantitative technique utilizing PLS-SEM software to test the hypothesis with 1,060 samples. Collected data shows that consumers in Ho Chi Minh City have positive emotions and interactive and social behaviors toward smartphone brands. Conclusion: The study has demonstrated the conclusions and proposed solutions to help smartphone brands build Brand Anthropomorphism while enhancing Brand Reputation thereby achieving Intimacy, which leads to consumer Brand Engagement. In addition, this study complements the concept of Brand Anthropomorphism which is lacking in theoretical background and is the first study in Vietnam to explore the prefixes and suffixes of the concept of Brand Anthropomorphism and the regulatory role of Brand Reputation.

Mental Health Among Healthcare Workers During the COVID-19 Pandemic in Vietnam

Nhan Phuc Thanh Nguyen,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Huynh Ho Ngoc Quynh,Van Tuan Le,Chinh Van Dang,Tinh Huu Ho,Van Trong Phan,Van Trong Phan,Thang Phan,Dang Thi Anh Thu 대한예방의학회 2024 예방의학회지 Vol.57 No.1

Objectives: The objective of this study was to characterize mental health issues among Vietnamese healthcare workers (HCWs) and to identify related factors.Methods: A cross-sectional study was conducted with 990 HCWs in 2021. Their mental health status was measured using the Depression, Anxiety, and Stress Scale.Results: In total, 49.9%, 52.3%, and 29.8% of respondents were found to have depression, anxiety, and stress, respectively. The multivariable linear regression model revealed that factors associated with increased anxiety scores included depression scores (β, 0.45; 95% confidence interval [CI], 0.39 to 0.51) and stress scores (β, 0.46; 95% CI, 0.41 to 0.52). Factors associated with increased depression scores included being frontline HCWs (β, 0.57; 95% CI, 0.10 to 1.10), stress scores (β, 0.50; 95% CI, 0.45 to 0.56), and anxiety scores (β, 0.41; 95% CI, 0.36 to 0.47), while working experience was associated with reduced depression scores (β, -0.08; 95% CI, -0.16 to -0.01). Factors associated with increased stress scores included working experience (β, 0.08; 95% CI, 0.00 to 0.16), personal protective equipment interference with daily activities (β, 0.55; 95% CI, 0.07 to 1.00), depression scores (β, 0.54; 95% CI, 0.48 to 0.59), and anxiety scores (β, 0.45; 95% CI, 0.39 to 0.50), while age was associated with reduced stress scores (β, -0.12; 95% CI, -0.20 to -0.05).Conclusions: Specific interventions are necessary to enhance and promote the mental health of HCWs so they can successfully cope with the circumstances of the pandemic.

Enhancing the Customer’s Information-sharing Intention Through Omnichannel Strategies

Nguyen Thi Tuyet NHUNG(Nguyen Thi Tuyet NHUNG ),Van Thanh-Truong NGUYEN(Van Thanh-Truong NGUYEN ),Nguyen Tuong An HUYNH(Nguyen Tuong An HUYNH ),Bui Thanh KHOA(Bui Thanh KHOA ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3

Purpose: An omnichannel strategy creates a consistent brand image and customer experience across all channels, making it easier for customers to interact with a business and share information. This research aimed to investigated the relationship between consumers' information-sharing intention and their omnichannel experiences. Research design, data, and methodology: Through an online survey conducted in Vietnam, the study obtained 915 responses. The study used Partial Least Square Structural Equation Modeling (PLS-SEM) to analyze research data and confirm proposed research hypotheses. Results: Research results indicated that information-sharing intention is affected by both online and offline customer experience, and at the same time, the study also confirmed that omnichannel’s three characteristics (integration, individualization, interaction) positively impact on customer experience. Conclusions: From the research result, businesses may boost consumer trust and loyalty with the help of an omnichannel approach, which in turn increases customers' propensity to provide personally identifying information to the firm. One way to do this is to facilitate information exchange by delivering customized and relevant offers. Furthermore, companies show consumers the benefit of providing their data by utilizing it to enhance the customer experience.

1-dimensional Crystallization of Polycarbonate by Rapid Thermal Quenching with Entropy Diluent

Van Thanh Vu,황명순,강영종 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.1

Recently, crystallization of stereo-irregular atactic-PMMA with entropy diluent was reported, providing unique 1-D structure and strong mechanical property. Hypo-crystalline poly (bisphenol-A carbonate) (hc-PC) was similarly prepared by rapid thermal quenching process using benzoic acid as entropy diluent. Also, PC crystals were prepared by precipitation and solvent casting methods for comparison. While precipitation and solvent casting methods follows conventional polymer crystallization resulted to spherulite PC crystal structure, hc-PC exhibits 1-D structure with ordered lateral packing between chains (d = 4.1 and 3.4 Å) which is independent from chain conformation and the other two dimension was still amorphous. 1-D hc-PC provides different thermal property that originally shows clear melting transition at 225 ℃ but can be shifted to 285 ℃ by thermal annealing.

A novel method for vehicle load detection in cable-stayed bridge using graph neural network

Van-Thanh Pham,Hyesook Son,Cheol-Ho Kim,Yun Jang,Seung-Eock Kim 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.46 No.6

Vehicle load information is an important role in operating and ensuring the structural health of cable-stayed bridges. In this regard, an efficient and economic method is proposed for vehicle load detection based on the observed cable tension and vehicle position using a graph neural network (GNN). Datasets are first generated using the practical advanced analysis program (PAAP), a robust program for modeling and considering both geometric and material nonlinearities of bridge structures subjected to vehicle load with low computational costs. With the superiority of GNN, the proposed model is demonstrated to precisely capture complex nonlinear correlations between the input features and vehicle load in the output. Four popular machine learning methods including artificial neural network (ANN), decision tree (DT), random forest (RF), and support vector machines (SVM) are refereed in a comparison. A case study of a cable-stayed bridge with the typical truck is considered to evaluate the model's performance. The results demonstrate that the GNN-based model provides high accuracy and efficiency in prediction with satisfactory correlation coefficients, efficient determination values, and very small errors; and is a novel approach for vehicle load detection with the input data of the existing monitoring system.

Experimental study on mechanical behaviors of injection molded PC/PMMA blends

Van Thanh Hoang,Quang Bang Tao,Bich-Tram Truong-Le,Minh Sang Tran,Duc Binh Luu 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.9

Mechanical property is one of the quite important factors of optical articles. Most of pure plastics materials are rarely found to have both high strength and toughness. The paper aims to investigate mechanical properties of polymethyl methacrylate and polycarbonate (PC/PMMA) blends by means of injection molding process and optimization technique. In this study, four factors including composition, packing pressure, melt temperature, and cooling time are taken into account. Experimental results show that the composition is found as the most significant factor for improving the mechanical properties of PC/PMMA blends with confidence level of 95 %. Meanwhile, melt temperature and cooling time are also the most significant parameters for enhancing impact strength with 95 % confidence level. In addition, the mechanical properties of the PC/PMMA plastics composites have been enhanced significantly. Specifically, average tensile yield strength, impact strength, and average elongation are 76.5 MPa, 7429.5 J/m 2 , and 17.5 mm, respectively.

Formation of a CdO Layer on CdS/ZnO Nanorod Arrays to Enhance their Photoelectrochemical Performance

Van, Thanh Khue,Pham, Long Quoc,Kim, Do Yoon,Zheng, Jin You,Kim, Dokyoung,Pawar, Amol U.,Kang, Young Soo Wiley (John WileySons) 2014 CHEM SUS CHEM Vol.7 No.12