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Applying the Fuzzy Decision-Making Method for Program Evaluation and Management Policy of Vietnamese Higher Education

  • TONG, Kiet Hao;NGUYEN, Quyen Le Hoang Thuy To;NGUYEN, Tuyen Thi Mong;NGUYEN, Phong Thanh;VU, Ngoc Bich
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.719-726
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    • 2020
  • Education policy is a dynamic process featuring social development trends. The world countries have focused their education program on empowering the learners for future life and work. This paper aims to assess the higher education curriculum based on a survey of 280 students, employers, alumni, and lecturers in both social sciences and natural sciences in Ho Chi Minh City, Vietnam. The fuzzy decision-making method, namely the Fuzzy Extent Analysis Method (F-EAM), was applied to measure the relative weight of each parameter. Seven factors under the curriculum development have been put in the ranking. Input with emphasis on foreign language was the highest priority in curriculum development, given the expected demand of the labor market. Objective and learning outcome and teaching activities ranked second and third, respectively. The traditional triangle of teaching content, methodology, and evaluation and assessment are still proven their roles, but certain modifications have been defined in the advanced curriculum. Teaching facilities had the least weight among the seven dimensions of curriculum development. The findings are helpful for education managers to efficiently allocate scarce resources to reform the curriculum to bridge the undergraduate quality gap between labor supply and demand, meeting the dynamic trends of social development.

Factors Affecting Parents' Intention to Choose English Centers: The Role of STEM Education

  • Tran, Do-Van-Anh;Nguyen, Ngoc-Duyen;Tang, Thai-Ngoc;Le, Dinh-Bao-Nhi;Vo, Huyen-Yen-Nhi;Le, Hoanh-Su
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.87-96
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    • 2020
  • Parents' desire for daily English practice for students and the urge for a etter English education has led to a demand for a highly qualified educational curriculum. In addition to getting deep-dive insights into parents' decision-making process, the increasingly important role of STEM education method has been proved in accordance with plenty of evidenced-based many of previous research. This study was conducted to examine the five independent factors affecting parents' intentions when designating English centers for their children, respectively named: Facility, Teachers, Brands, Social factors and Tuition. Through a preliminary approach, 235 samples were analyzed. Analysis of the sample responses reveals the importance level of five independent factors affecting Parents' intention to choose English centers in descending order: Facilities, Teachers, Brands, Tuition and Social factors. Furthermore, a positive correlation was found between STEM and Intention to choose English centers, indicating that whether the center applies STEM-related curriculum in English courses or not, in fact, has a significant impact on parents' decision. In terms of attitude towards STEM, further statistical tests revealed an interesting finding, which is the fact that how STEM affects Intention of parents is directly proportional to the Attitude towards STEM. With the help of SPSS 20 and AMOS 20, the SEM analysis was processed in order to draw conclusions about factors impacting Intentions to choose English centers. Combining with Multi-group analysis, the major role of STEM education has been assessed in relation to plenty of correlations. In light of recent major and massive growth of English teaching market in Vietnam, several suggestions and recommendations in terms of sustainable developments have been displayed in this research.

Risk Factors Affecting Equipment Management in Construction Firms

  • PHAM, Cuong Phu;NGUYEN, Phong Thanh;PHAN, Phuong Thanh;NGUYEN, Quyen Le Hoang Thuy To;LE, Loan Phuc;DUONG, My Tien Ha
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.347-356
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    • 2020
  • Mechanization and automation constitute an essential stage in the production and operation of any company, as one of the determinants of increase in labor productivity and decrease in product price, while significantly contributing to shortening of the lead time. Businesses are, therefore, able to quickly put projects into operation, improving economic efficiency, quality, and aesthetics, which speeds up the national economic growth. For the construction industry to be the most effective, modern construction equipment is a necessity. It is one of the five main resources of a construction project. Thus, effective construction equipment management contributes to the success of a project and benefits the relevant construction companies economically. This paper presents the critical risk factors affecting equipment management and proposes suitable solutions. The questionnaire-based survey with experienced experts in the construction sector on the management of the likelihood and consequence of risk factors revealed thirty-two risks for equipment management in construction companies. These factors fell into six groups: (i) site organization-related risks; (ii) management-related risks; (iii) owner-related risks; (iv) supplier-related risks; (v) legal risks, and (vi) site condition-related and external risks. The results showed that management-related factors contributed to the most significant risks and problems for equipment management in construction companies.

An Application of RASA Technology to Design an AI Virtual Assistant: A Case of Learning Finance and Banking Terms in Vietnamese

  • PHAM, Thi My Ni;PHAM, Thi Ngoc Thao;NGUYEN, Ha Phuong Truc;LY, Bao Tuyen;NGUYEN, Truc Linh;LE, Hoanh Su
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.273-283
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    • 2022
  • Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

Study on sintering process of woodceramics from the cashew nutshell waste

  • Kieu, Do Trung Kien;Phan, DinhTuan;Okabe, Toshihiro;Do, Quang Minh;Tran, Van Khai
    • Journal of Ceramic Processing Research
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    • v.19 no.6
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    • pp.472-478
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    • 2018
  • In this study, the sintering mechanism of woodceramics (WCs) from cashew nut shell waste (CNSW) was studied by analyzing chemical reactions and structural changes during the sintering process of of CNSW powder, liquefied wood and green bodies of WCs at $900^{\circ}C$ for 60 minutes in the $CO_2$ atmosphere. The chemical and structural properties of the products were investigated by X-ray diffraction (XRD), Raman spectroscopy, Fourier Transform Infrared (FTIR), and scanning electron microscope (SEM). The results showed that the decomposition reactions of liquefied wood and CNSW occurred simultaneously to form the hard carbon and the soft carbon at high temperature. The sintering mechanism of WCs has been presented.

Factors Influencing on Consumer's Decision on Vegetarian Diets in Vietnam

  • NGO, Vu Quynh Thi;VO, Thi Anh Dao;NGO, Anh Phung;NGUYEN, Do Mai Anh;LE, Minh Thu;TO, Thi Phuong Loan;NGUYEN, Thi Thuy Phi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.485-495
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    • 2021
  • Recently, vegetarian diets have experienced a dramatic increase in popularity. The aim of the study is to explore and test the relationship between the factors influencing consumers' dietary decisions in Ho Chi Minh City, Vietnam. The questionnaire applied a five-point Likert scale to investigate factors that affect Ho Chi Minh City's citizens when they have a vegetarian diet. 497 respondents (68% female; 61.2% aged 18-22; 82.7% had regular vegetarian diets) living in Ho Chi Minh City took part in both online and offline surveys. The results were processed by SPSS 22.0 software. The reliability was checked by Cronbach Alpha and Exploratory factor analysis (EFA) to identify the underlying relationships between measured variables. The Correlation analysis was implemented to show how strong and degree of two variables are related to each other before the multivariate regression equation was analyzed. The result showed the Five factors that were motivating people in Ho Chi Minh City to decide on plant-based diets, such as Animal Welfare, Health, Religion, Mood, and Reference groups. The mood is the most influential variable that significantly influences people's food choices. Attitudes toward vegetarian diets are changing. Therefore, recognizing the trends in food consumption might help companies take advantage of investment opportunities and build their marketing strategies.

Optic foramen location on computed tomography

  • Vuong Duc Nguyen;Minh Tran Quang Le;Chuong Dinh Nguyen;Tho Thi Kieu Nguyen
    • Archives of Craniofacial Surgery
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    • v.24 no.4
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    • pp.174-178
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    • 2023
  • Background: This study aimed to identify the location of the optic foramen in relation to the anterior sphenoid sinus wall, which is essential information for surgeons in planning and performing endoscopic transnasal surgery. Methods: Computed tomography scans of 200 orbits from 100 adult patients with no abnormalities were examined. The results included the location of the optic foramen in relation to the anterior sphenoid sinus wall and the distance between them, as well as the distance from the optic foramen and the anterior sphenoid sinus wall to the carotid prominence in the posterior sphenoid sinus. Results: The optic foramen was anterior to the anterior sphenoid sinus wall in 48.5% of orbits, and posterior in the remaining 51.5%. The mean distance from the optic foramen to the anterior sphenoid sinus wall was 3.82±1.25 mm. The mean distances from the optic foramen and the anterior sphenoid sinus wall to the carotid prominence were 7.67±1.73 and 7.95±2.53 mm, respectively. Conclusion: The optic foramen was anterior to the anterior wall of the sphenoid sinus in approximately half of the orbits examined in this study, and posterior in the remaining half. The mean distance from the optic foramen to the anterior sphenoid sinus wall of the sphenoid sinus was 3.82±1.25 mm.

Factors Affecting Job Pursuit Intention in Hotel Industry in Ho Chi Minh, Viet Nam

  • HOANG, Linh Viet;VU, Hieu Minh;NGO, Vu Minh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.281-290
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    • 2020
  • Given the rise in international tourism and the rapid growth of the Vietnamese economy, the hospitality industry in Ho Chi Minh City, Vietnam's commercial hub, has been facing severe labor shortages due to competition with other fast-growing parts of the economy. These struggles to acquire high-quality employees is strangling future growth and placing new importance on the role of recruitment. To better understand the effectiveness of an organization's recruitment strategy, recruiters need to ascertain the Job Pursuit Intention (JPI) of job seekers to efficiently align an applicant's work notions with the organization's goals. This study aims to investigate the factors impacting on JPI among employees working in the hotel sector in Ho Chi Minh City. Secondary data are from previous studies and primary data are from consultation with 10 experts, group discussions and five in-depths structured interviews with 15 random employees and 302 survey questionnaires with employees working in three five-star hotels. Cronbach's Alpha, EFA, T-Test, ANOVA are used for statistical analysis. The findings show that compensation, career advancement, and work-life balance affect JPI of job seekers, in which compensation is the most influential factor. Furthermore, recommendations for recruiters, further research and limitations of this study have been laid out.

Nondestructive crack detection in metal structures using impedance responses and artificial neural networks

  • Ho, Duc-Duy;Luu, Tran-Huu-Tin;Pham, Minh-Nhan
    • Structural Monitoring and Maintenance
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    • v.9 no.3
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    • pp.221-235
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    • 2022
  • Among nondestructive damage detection methods, impedance-based methods have been recognized as an effective technique for damage identification in many kinds of structures. This paper proposes a method to detect cracks in metal structures by combining electro-mechanical impedance (EMI) responses and artificial neural networks (ANN). Firstly, the theories of EMI responses and impedance-based damage detection methods are described. Secondly, the reliability of numerical simulations for impedance responses is demonstrated by comparing to pre-published results for an aluminum beam. Thirdly, the proposed method is used to detect cracks in the beam. The RMSD (root mean square deviation) index is used to alarm the occurrence of the cracks, and the multi-layer perceptron (MLP) ANN is employed to identify the location and size of the cracks. The selection of the effective frequency range is also investigated. The analysis results reveal that the proposed method accurately detects the cracks' occurrence, location, and size in metal structures.

Factors affecting Customer Relationship and the Repurchase Intention of Designed Fashion Products

  • KHOA, Bui Thanh;NGUYEN, Truong Duy;NGUYEN, Van Thanh-Truong
    • Journal of Distribution Science
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    • v.18 no.2
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    • pp.17-28
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    • 2020
  • Purpose: Human life is increasingly improved, so human needs are also growing more and more. One of the increasingly demanding industries is the fashion market. Fashion is an industry that produces essential items for human life, so manufacturers always need to know how to improve the relationship with customers, and make them repurchase. The study aims to discover the relationship between the factors that create a relationship with customers and the repurchase intention of designed fashion products. Research design, data, and methodology: The mix research method is applied to achieve research objectives. The qualitative research via the in-depth interview with 11 experts, and the quantitative research via the survey with 467 respondents was done in Ho Chi Minh city, the most developed city in Vietnam. Results: The research results point out that the fashion designer reputation, social media marketing, and the fashion store atmosphere have the positive impact on the relationship between the customer and fashion store, as well as the intention to repurchase of designed fashion products. In particular, customer relationship also affects the repurchase intention of designed fashion products positively. Conclusions: The study also proposed some managerial implications to develop a relationship with the customer and repurchase behavior of the customer in the fashion industry.