The Effect of Country-of-Origin on Customer Purchase Intention: A Study of Functional Products in Vietnam

Nguyen,Ngoc Duy Phuong,Nguyen,Tien Dat 한국유통과학회 2019 KODISA ICBE (International Conference on Business Vol.2019 No.-

This paper examines key determinants and the effect of country-of-origin on customer’s purchase intention of functional food and dietary supplement product in Vietnam. Data was collected from a survey of 242 Vietnamese who have experienced in buying functional and supplement food. This paper employed partial least square (PLS) as a technique used to analyze the measurement and structural models. The findings provide evidence that social prestige customer perceives and their positive attitude toward functional food which are main factors influencing on consumers’ purchase intention. Customer’s perceived prestige plays an important role in decision-making process to purchase. The higher social prestige taken up in consumers’ mind, the higher consumers’ purchase intention is. Moreover, the more positive attitude customer holds toward functional food, the higher consumers’ purchase intention. The research results provide useful information in current understanding of what antecedents determine factors influencing customer’s intention to purchase functional food and lead to managerial implications for business strategies.

Distribution of Factors Affecting Foreign Direct Investment in ASEAN Countries

Anh Thi Lan NGUYEN(Anh Thi Lan NGUYEN ),Chau Thi Minh PHAM(Chau Thi Minh PHAM ),Hanh Hong NGUYEN(Hanh Hong NGUYEN ),Dat Ngoc NGUYEN(Dat Ngoc NGUYEN ),Duy Van NGUYEN(Duy Van NGUYEN ) 한국유통과학회 2023 유통과학연구 Vol.21 No.2

Purpose: Research on attracting foreign direct investment plays an important role in ASEAN countries. ASEAN has needed FDI capital for development and integration with many developing countries. Research design, data and methodology: This study is conducted to assess the impact of factors: inflation (INF), economic growth (GDP), population (POP), and trade (TRADE) on attracting foreign direct investment (FDI) of ASEAN countries. The study will find out how factors distribution contributes to FDI attraction. The study collects data from 10 ASEAN countries from 2010 to 2020. With data collected for ten countries from 2010 to 2020, data analysis with panel data will be used in this study. The Regression with Driscoll-Kraay standard errors correction model will be used in the study. Results: Panel data analysis shows that economic growth and population positively impact FDI attraction in ASEAN countries. However, two factors: INF and TRADE, do not affect FDI. Conclusions: Countries need to focus on economic development, create many good conditions for people and domestic enterprises and create opportunities for foreign investors to pay more attention. improving the quality of domestic human resources will help to better improve the working quality factor when the demand for high-quality human resources increases.

Composites derived from synthetic clay and carbon sphere: Preparation, characterization, and application for dye decontamination

Nguyen Duy Dat,Ton That Loc,Mai Thuan Trieu,Dong Thanh Nguyen,Khuong Quoc Nguyen,My Linh Nguyen,Anh Duy Duong Le,Hai Nguyen Tran 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.4

Two new composites from synthetic clay-like materials and carbon spheres were developed. Layered doubledhydroxides (LDH) were synthesized from the coprecipitation of Mg2+ and Al3+ ions. Spherical hydrochar (SH) wasprepared from pure glucose through hydrothermal carbonization at 190 oC. The composite LDH–SH was synthesizedthrough a simple hydrothermal method of the mixture of LDH and SH. Another composite, LDO-SB, was directly preparedthrough the carbonization of LDH-SH at 500 oC. Under such high temperature, LDH was converted to layereddoubled oxides (LDO), and SH was transferred to spherical biochar (SB). Those materials were characterized by chemicalstability, surface morphology and element composition, crystal structure, surface functional group, and texturalcharacteristic. They were applied for removing cationic dye (methylene blue; MB) and anionic dye (Congo red; CR)under different pH solutions. Three adsorption components—kinetics, isotherm, and thermodynamics—were conductedunder batch experimenters. Results demonstrated that the LDH or LDO particles were assembled on the surfaceof SH or SB, respectively. The surface area, total pore volume, and average pore width of LDH–SH and LDO-SBwere 58.5 and 198m2/g, 0.319 and 0.440 cm3/g, and 21.8 and 8.89 nm, respectively. The maximum adsorption capacityof the materials, calculated from the Langmuir model, at 30 oC for CR and MB dyes was 1589 and 78.6mg/g (LDOSB)and 499 and 226mg/g (LDH-SH), respectively. The composites exhibited a higher affinity to anionic than cationicdyes, which resulted from the great contribution of the clay-like materials. Therefore, they can serve as a promisingcomposite for the decolorization of wastewater.

Billroth-II Modified with Antiperistaltic Hinged Afferent Loop versus Roux-en-Y Reconstruction after Laparoscopic Distal Gastrectomy: A Propensity Score-Matched Analysis

Duy Long Vo,Quang Thong Dang,Quang Dat Tran,Viet Hai Nguyen,Le Minh Quoc Ho,Thuy Nguyen Doan,Anh Minh Tran,Vu Tuan Anh Nguyen,Lam Vuong Nguyen,Hoang Bac Nguyen 대한외과학회 2022 대한외과학회 학술대회 초록집 Vol.2022 No.11

Promotion of Fintech Application for the Modernization of Banking-Finance System in Vietnam

NGUYEN, Dat Dinh,DINH, Hoang Cong,NGUYEN, Duy Van Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.6

In today's financial industry, Fintech (financial technology) has showed its role of an innovation-driving area, which can bring outstanding changes to the traditional financial market. This article will briefly introduce Fintech as well as its development in Vietnam. Besides, the research also provided a survey on experts' opinions on the challenges to the promotion of Fintech application for the modernization of the banking-finance system in Vietnam. The survey results of 40 experts in banking with knowledge of Fintech identify five challenges faced by Fintech companies in Vietnam: (1) legal corridor; (2) infrastructure; (3) Fintech companies; (4) customers; and (5) human resources. From these five challenges/barriers, there are 14 detailed aspects. The results of the expert survey using descriptive statistics show that all five factors are assessed to be low and need to be better addressed in the future. The authors suggest several solutions for further development of Fintech to support the modernization of the banking-finance system in Vietnam: (1) quickly complete the regulatory framework; (2) introduce policies on tax exemption; (3) promote research and application of the benefits of block-chain technology; (4) utilize the abilities of the human resources; and (5) actively promote and popularize knowledge about Fintech.

The Effect of Country-of-Origin on Customer Purchase Intention: A Study of Functional Products in Vietnam

Nguyen Ngoc Duy Phuong,Nguyen Tien Dat 한국유통과학회 2017 The Journal of Asian Finance, Economics and Busine Vol.4 No.3

This paper examines key determinants and the effect of country-of-origin on customer’s purchase intention of functional food and dietary supplement product in Vietnam. Exploratory study was identified to evaluate personal and social factors on customer’s buying behavior. Twenty-eight reflective constructs were adapted from literature and designed by using a seven-point Likert scale to facilitate measurement. By using non-probability convenience sampling, data was collected from a survey of 242 Vietnamese who have experienced in buying functional and supplement food. This paper employed partial least square structural equation modeling (PLS-SEM) as a technique employed to analyze the measurement and structural models. The findings provide evidence that social prestige customer perceives and their positive attitude toward functional food which are main factors influencing on consumers’ purchase intention. Customer’s perceived prestige plays an important role in decision-making process to purchase. The higher social prestige taken up in consumers’ mind, the higher consumers’ purchase intention is. Moreover, the more positive attitude customer holds toward functional food, the higher consumers’ purchase intention. The research results provide useful information in current understanding of what antecedents determine factors influencing customer’s intention to purchase functional food and lead to managerial implications for business strategies.

Distribution information safety and factors affecting the intention to use digital banking in Vietnam

Dat Ngoc NGUYEN,Dat Dinh NGUYEN,Duy Van NGUYEN 한국유통과학회 2020 유통과학연구 Vol.18 No.6

Purpose: Research on the behavior of using digital banking services plays an important role for banks in the context of increasingly competitive banks, not only for domestic banks but also for foreign banks. Along with the development of science and technology brings new approaches to banking industry, digital banking increases the effectiveness of banking activities. Besides, information safety brings different feeling about digital banking system. Therefore, this research evaluates the relationship between Information safety and Intention to use banking services in Vietnam. Research design, data and methodology: With 329 Vietnamese customers using digital banking, reliability test, and structural equation model (SEM) analysis method. Results: the research shows that information safety has directly effects on perceived ease of use (PU), perceived risk (RIS) of customers to digital banking services. Perceived trust (TRU) has a negative impact on RIS. Perceived of usefulness (PEU) has a positive impact on attitude towards service (ATT), and RIS has a negative impact on ATT. RIS, PEU, ATT, convenience and enterprise image have positive effects on intention to use digital banking service. Conclusions: From the research results, the authors also propose some recommendations to enhance the intention to use digital banking services in Vietnam.

Preliminary study of doxycycline adsorption from aqueous solution on alkaline modified biochar derived from banana peel

Van-Truc Nguyen,Thanh-Binh Nguyen,Thi-Dieu-Hien Vo,Nguyen Duy Dat,Thi-Kim Quyen Vo,Xuan Cuong Nguyen,Viet-Cuong Dinh,Thi-Ngoc-Chau Le,Thi-Giang-Huong Duong,Manh-Ha Bui,Xuan-Thanh Bui 대한환경공학회 2023 Environmental Engineering Research Vol.29 No.3

This study explores the adsorption of doxycycline (DOX) from aqueous solutions onto biochar derived from banana peel, which was prepared using a potassium hydroxide activation method (KOH-BPB). The biochar properties were characterized based on morphology, surface area (SBET of 710.241 ㎡ g<SUP>−1</SUP>), functional groups, and surface charge (pHPZC = 7.7). Parameters, including initial pH, DOX concentration, and ionic strength, that influenced the DOX adsorption capacity of KOH-BPB were examined. Adsorption equilibrium of DOX on KOH-BPB was assessed through four isothermal models: the Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich models. The obtained data were most compatible with the Langmuir model (R² = 0.9879). KOH-BPB has a maximum DOX absorption capacity of 121.95 mg g<SUP>-1</SUP> which exceeds that of many comparable absorbents. The maximum DOX removal was 96.7% at pH 6, a DOX concentration of 20 mg L<SUP>-1</SUP>, and a KOH-BPB dose of 1.0g L<SUP>-1</SUP>. These findings reveal that biochar from banana peel effectively removes antibiotic residues from water. This study provides a potential, low-cost, and environmentally friendly adsorbent.

Combination of Deep Learner Network and Transformer for 3D Human Pose Estimation

Tien-Dat Tran,Xuan-Thuy Vo,Duy-Linh Nguyen,Kang-Hyun Jo 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11

Deep neural networks (DNNs) have attained the maximum performance today not just for human pose estimation but also for other machine vision applications (e.g., semantic segmentation, object detection, image classification). Besides, the Transformer shows its good performance for extracting the information in temporal information for video challenges. As a result, the combination of deep learner and transformer gains a better performance than only the utility one, especially for 3D human pose estimation. At the start point, input the 2D key point into the deep learner layer and transformer and then use the additional function to combine the extracted information. Finally, the network collects more data in terms of using the fully connected layer to generate the 3D human pose which makes the result increased precision efficiency. Our research would also reveal the relationship between the use of the deep learner and transformer. When compared to the baseline-DNNs, the suggested architecture outperforms the aseline-DNNs average error under Protocol 1 and Protocol 2 in the Human3.6M dataset, which is now available as a popular dataset for 3D human pose estimation.

Optimization of Construction Material Cost through Logistics Planning Model of Dragonfly Algorithm – Particle Swarm Optimization

Pham Vu Hong Son,Nguyen Huynh Chi Duy,Pham Ton Dat 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.7

Managing a construction project is challenging because of cost, time, safety, and quality considerations. In the most projects, the cost of construction is one of the most critical aspect because material cost alone accounts for significant ratio of the total project. Therefore, the cost of construction materials should be controlled. In this study, we proposed the use of material requirements planning (MRP) to control the cost of construction materials. After determining the demand for the materials required for construction, we estimated both the quantity of materials required and time taken to deliver the materials to the construction site. Although economic order quantity models have been applied to analyze construction material costs, they do not accurately reflect concerns related to material cost. Therefore, we used the material supply chain model (construction logistics planning) to analyze material costs. To optimize MRP according to the current progress of a project, a novel approach combining the dragonfly algorithm (DA) and particle swarm optimization algorithm (PSO) was proposed. To verify the advanced searchability of the DA–PSO algorithm, the algorithm was compared with the gray wolf and the genetic algorithms.