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.

First-Principles Investigation on the Electromechanical Properties of Monolayer 1H Pb-Dichalcogenides

Nguyen Hoang Linh,Nguyen Minh Son,Tran The Quang,Nguyen Van Hoi,Vuong Thanh,Do Van Truong Materials Research Society of Korea 2023 한국재료학회지 Vol.33 No.5

This study uses first-principles calculations to investigate the mechanical properties and effect of strain on the electronic properties of the 2D material 1H-PbX₂ (X: S, Se). Firstly, the stability of the 1H Pb-dichalcogenide structures was evaluated using Born's criteria. The obtained results show that the 1H-PbS₂ material possesses the greatest ideal strength of 3.48 N/m, with 3.68 N/m for 1H-PbSe₂ in biaxial strain. In addition, 1H-PbS₂ and 1H-PbSe₂ are direct semiconductors at equilibrium with band gaps of 2.30 eV and 1.90 eV, respectively. The band gap was investigated and remained almost unchanged under the strain ε_xx but altered significantly at strains ε_yy and ε_bia. At the fracture strain in the biaxial direction (19 %), the band gap of 1H-PbS₂ decreases about 60 %, and that of 1H-PbSe₂ decreases about 50 %. 1H-PbS₂ and 1H-PbSe₂ can convert from direct to indirect semiconductor under the strain ε_yy. Our findings reveal that the two structures have significant potential for application in nanoelectronic devices.

Designing Self-feeding System for Increasing Independence of Elders and Parkinson People

Nguyen Truong Thinh,Tuong Phuoc Tho,Nguyen Thanh Tan 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

This paper describes a customized self-feeding system designed to increase the independence of a elder person or Parkinson patient who is unable to use his/her arm for self-feeding. Besides, the procedures of design and development of the system are also carried out, and other its tasks control manipulator to feed the food to patients based on nutrients management for patients. This system can help patients self-control his meal replacement for the care of a family member or care worker thereby saving a lot of time and effort of caregivers, and, nutritional management software of each meal will allow caregivers understand nutritional information of the patients in the diet which can not change to improve the quality of meals for patients. The self-feeding system is experienced and evaluated with several cases in nursing home to give suitable design. The experimental results show that this self-feeding system provides a viable alternative to assisting independence in self-feeding as measured by ingesting time and nutrition intake. The self-feeding system is operated autonomous by itself and sent food"s data and relative information to monitoring computer based on Internet. Besides, the tool of management can analyze the data according to the nutritional standards, and controller control movements of manipulator and automation tray based on health situation and needs of patients.

The effective model of the human Acetyl-CoA Carboxylase inhibition by aromatic-structure inhibitors

Nguyen Truong Cong Minh,Bui Tho Thanh,Le Xuan Truong,Nguyen Thi Bang Suong,Le Thi Xuan Thao 한국전기전자학회 2017 전기전자학회논문지 Vol.21 No.3

The research investigates the inhibition of fatty acid biosynthesis of the human Acetyl-CoA Carboxylase enzyme by the aromatic-structure inhibitors (also known as ligands) containing variables of substituents, contributing an important role in the treatment of fatty-acid metabolic syndrome expressed by the group of cardiovascular risk factors increasing the incidence of coronary heart disease and type-2 diabetes. The effective interoperability between ligand and enzyme is characterized by a 50% concentration of enzyme inhibitor (IC50) which was determined by experiment, and the factor of geometry structure of the ligands which are modeled by quantum mechanical methods using HyperChem 8.0.10 and Gaussian 09W softwares, combining with the calculation of quantum chemical and chemico-physical structural parameters using HyperChem 8.0.10 and Padel Descriptor 2.21 softwares. The result data are processed with the combination of classical statistical methods and modern bioinformatics methods using the statistical softwares of Department of Pharmaceutical Technology – Jadavpur University – India and R v3.3.1 software in order to accomplish a model of the quantitative structure - activity relationship between aromatic-structure ligands inhibiting fatty acid biosynthesis of the human Acetyl-CoA Carboxylase.

A New Dimeric Lignan from the Stems of Willughbeia edulis

Nguyen, Hai Xuan,Do, Truong Nhat Van,Le, Tho Huu,Dang, Phu Hoang,Nguyen, Mai Thanh Thi,Nguyen, Nhan Trung The Korean Society of Pharmacognosy 2022 Natural Product Sciences Vol.28 No.2

As part of our continued study on the chemical constituents of Willughbeia edulis stems, a new dimeric lignan named edulignan (1) was isolated from its EtOAc-soluble extract. Based on NMR spectroscopic interpretation, the planar structure of 1 has been suggested to have two 2-substituted 4-chromanone subunits with different stereochemical configurations. In addition, the MS/MS analysis of the products obtained by acid-catalyzed hydrolysis of 1 was supportive of its structure. Unfornatually, the new compound 1 did not show 𝛼-glucosidase inhibitory activity with an IC₅₀ value > 250 𝜇M.

Factors Affecting Industry 4.0 Adoption in the Curriculum of University Students in Ho Chi Minh City

NGUYEN, Xuan Truong,NGUYEN, Thanh Toan Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.10

This study investigates the factors affecting Industry 4.0 adoption in the curriculum of university students in Ho Chi Minh City, Vietnam. Universities need to respond to the changing faces of Industry 4.0 and, hence, Education 4.0. A mixed method including both qualitative and quantitative methodologies was utilized. An in-depth interview was carried out for exploring, reviewing, and testing content validity of constructs and measurement items. The pilot study was conducted with 120 respondents. The conceptual model and hypotheses were developed using data collected by a questionnaire survey distributed to 584 respondents by both electronic and paper forms with non-probability and convenience sampling techniques. The result of structural equation modeling showed that occupation relevance, skills, facility conditions, and social influence impacted on the intermediates variables, namely, relevance advantage, perceived usefulness, behavioral intention-to-use, and actual use. The independent variables are occupation relevance, skills, facility conditions, and social influence. They impact actual use through mediating constructs such as relevance advantage, perceived usefulness, and behavioral intention-to-use. The findings suggest that universities and students' efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 will contribute to implementation success, where success is defined as effectual usage of Industry 4.0.

Deep learning-based functional assessment of piezoelectric-based smart interface under various degradations

Thanh-Truong Nguyen,Jeong-Tae Kim,Quoc-Bao Ta,Duc-Duy Ho,Thi Tuong Vy Phan,Thanh-Canh Huynh 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.1

The piezoelectric-based smart interface technique has shown promising prospects for electro-mechanical impedance (EMI)-based damage detection with various successful applications. During the process of EMI monitoring and damage identification, the operational functionality of the smart interface device is a major concern. In this study, common functional degradations that occurred in the smart interface are diagnosed using a deep learning-based method. Firstly, the effect of functional degradations on the EMI responses is analytically discussed. Secondly, a critical structural joint is selected as the test structure from which EM measurement using the smart interface is conducted. Thirdly, a numerical model corresponding to the experimental model is established and updated to reproduce the measured EMI responses. By using the updated numerical model, the EMI responses of the smart interface under the common functional degradations, such as the shear lag effect, the adhesive debonding, the sensor breakage, and the interface detaching, are simulated; then, the functional degradation-induced EMI changes are characterized. Finally, a convolutional neural network (CNN)-based functional assessment method is newly proposed for the smart interface. The CNN can automatically extract and directly learn optimal features from the raw EMI signals without preprocessing. The CNN is trained and tested using the datasets obtained from the updated numerical model. The obtained results show that the proposed method was successful to classify four types of common defects in the smart interface, even under the effect of noises.

Multi-Charged Conjugated Polyelectrolytes (CPEs) are effective tool for interfacial modification of organic electronic Device

Thanh Dat Truong Nguyen,우딘 모하메드 압살,김지현,유화숙,우한영 한국고분자학회 2014 한국고분자학회 학술대회 연구논문 초록집 Vol.2014 No.10

E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry

NGUYEN, Xuan Truong,NGUYEN, Thai Ha,DANG, Huynh Phuong,PHAM, Thi Lan Phuong,BUI, Thi Thanh,TRAN, Nhat Minh,HUYNH, Tri An,NGUYEN, Nam Phong Korea Distribution Science Association 2022 유통과학연구 Vol.20 No.2

Purpose: This study aims to identify factors affecting the adoption of e-commerce by household businesses in Vietnam's food and beverage industry. Research design, data and methodology: The integrated TAM and TOE frameworks and ten hypotheses were developed to test the relationship between relevant factors. A cross-sectional survey was conducted to collect valid data from 992 respondents who run F&B household businesses in Vietnam. Results: The empirical research results confirm all proposed hypotheses that e-commerce adoption is affected by the perceived usefulness, the perceived ease of use, vendor support partners, social expectancy, competitive pressure, subjective norm, and household resources. Meanwhile, technical readiness, environment readiness, and organization readiness are intermediate variables that influence the implementation of e-commerce in food and beverage distribution. Conclusions: The findings suggest effective orientations to foster the food and beverage e-trading practice for household businesses in developing countries. Accordingly, to encourage private household businesses to adopt e-commerce, it is necessary to focus on improving business resources, technology readiness, environment readiness, and organization readiness through raising awareness of usefulness, benefits, perceived ease of use, and increased support of vendor partners. Future research can focus on improving the efficiency of e-commerce applications in F&B distribution for both household businesses and larger-scale enterprises.

Factors Affecting the Use of ICT in Resolving Work of Community Officers in Vietnam

Truong Tuan LINH(Truong Tuan LINH ),Nguyen Thi Thanh HUYEN(Nguyen Thi Thanh HUYEN ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2

In general, using information and communication technology (ICT) to support problem-solving is becoming increasingly common across various industries, sectors, and regions. However, there have been few analyses on the factors affecting ICT problem-solving among officers working at People’s Committees of mountainous communes. Using survey data, exploratory factor analysis (EFA), and multivariable linear regression, this study examined the factors that influence the use of ICT in resolving works among community officers at People’s Committees in the Northwest mountainous region of Vietnam. The results showed that three factors with statistical significance affecting the dependent variable are computer skills, gender, and occupation of community officers. Therefore, it is recommended that officers participate in ICT training courses or engage in regular self-study to improve their computer skills and qualifications. Both men and women should also prioritize the use of ICT equipment. The study also found that officers in managerial positions were more likely to use ICT for problem-solving than their counterparts. However, some factors that affect the use of ICT were not identified in this study, leaving room for further research.