Industry In Vietnam Research Articles

Research on microwave‐assisted extraction with blanching pretreatment effect on bioactive compounds of green tea leaves ( Camellia sinensis ) powder

Fresh green tea leaves have been considered by-products. They contain beneficial ingredients of polyphenols, approximately 30%. This study was aimed to investigate the blanching process combined with microwave-assisted extraction of green tea leaves. The best quality extract was obtained by blanching at 85°C for 45 s, then microwave-assisted extracting for 3 min with power of 16 W/g and frequency of 2450 MHz. The extract was added with whey protein isolate of 15%–15.3% and then spray-dried to form green tea powder. The highest antioxidant capacity was observed at 360.20 mg Trolox equivalent antioxidant capacity/g of tea powder. The bioactive compounds were determined as total polyphenol content of 336.65 mg GAE/g, epigallocatechin-gallate of 104.14 mg/g, epigallo-catechin of 62.15 mg/g, epicatechin-gallate of 22.09 mg/g, epicatechin of 19.27 mg/g, and caffeine of 3.13 mg/g. The tea powder was rich in chlorophyll content of 3.52 mg/g with nice green color and nutrition by abundant amino acids. Practical applications In Vietnam, fresh tea leaves, which are not in tea buds, have been often considered as by-products or even wastes. Our project investigated the extraction procedure for creating high-quality extract then used this extract for forming green tea powder by spray drying technology. The product obtained high content of total polyphenol, chlorophyll, and rich content of amino acids, which has better economic efficiency to use for the food or beverage industry in Vietnam.

Prerequisites of the scenario approach to industry planning (on the example of the coal industry in Vietnam)

Prerequisites of the scenario approach to industry planning (on the example of the coal industry in Vietnam)

Integrating Triple Bottom Line in Sustainable Chemical Supplier Selection: A Compromise Decision-Making-Based Spherical Fuzzy Approach

As a consequence of increased awareness of environmental preservation and the associated rigorous regulations, the adoption of sustainable practices has become a crucial element for corporate organizations in regard to their supply chains. In the chemical industry, which is characterized by high risks, high pollution, and high efficiency, these characteristics can help businesses analyze their long-term development and sustainability. The goal of this research is to analyze and choose possible suppliers based on their sustainability performance in the chemical sector. A methodology based on multi-criteria decision making (MCDM) is proposed for this evaluation, using spherical fuzzy analytical hierarchy process (SF-AHP) and combined compromise solution (CoCoSo) methods, in which the novel spherical fuzzy sets theory is employed to present the ambiguous linguistic preferences of experts. In the first stage, an evaluation criteria system is identified through literature review and experts’ opinions. The SF-AHP is used to determine the criteria weights, while the CoCoSo method is utilized to select the right sustainable supplier. A case study in the chemical industry in Vietnam is presented to demonstrate the effectiveness of the proposed approach. From the SF-AHP findings, “equipment system and technology capability”, “flexibility and reliability”, “logistics cost”, “green materials and technologies”, and “on-time delivery” were ranked as the five most important criteria. From the CoCoSo analysis, Vietnam National Chemical Group (CHE-05) was found to be the best supplier. A sensitivity study and a comparison analysis of methods were also conducted to verify the robustness of the proposed model, and the priority rankings of the best suppliers were very similar. To the best of our knowledge, this is the first study that has proposed SF-AHP and CoCoSo to prioritize SSS evaluation criteria and determine the best alternatives. The suggested method and findings can be used to make well-informed decisions that help businesses to achieve supply chain sustainability, capture opportunities, and maintain competitiveness through reconfiguring resources. The method could be useful for case studies in other countries and for other sustainability problems.

Researching the Optimal Method of Balancing the Sewing Line with T-Shirt Product in the Garment Industry in Vietnam

The garment industry is currently one of the largest industries in Vietnam. In 2021, Vietnam became the second-largest garment exporter in the world after China. Towards decent work and economic growth, garment businesses in Vietnam are very interested in improving productivity and quality, one of the measures is balancing the sewing line. Currently, Vietnamese garment enterprises mainly use the method of line balancing according to experience, leading to the low line balancing efficiency, the line balancing performance is not stable, and the transfers of the semi-finished products between working positions are not optimized. Utilizing the theoretical basis of methods of line balancing, the level of balance of the sewing line has been researched, calculated, and compared based on the evaluation criteria to find the most optimal method. In this research, 5 methods of balancing line are used to balance the t-shirt sewing line in the garment industry in Vietnam and found the most optimal method in 5 methods.

Recent advances and future directions in practical diet formulation and adoption in tropical Palinurid lobster aquaculture

AbstractThe spiny lobsters Panulirus ornatus and Panulirus homarus are important developing tropical aquaculture species, with high demand and limited supply. The established industry in Vietnam relies on wild‐caught mixed seafood bycatch as feed, a practice linked to water quality degradation and potentially disease proliferation in lobster aquaculture, necessitating formulated feed development. The emerging Indonesian and Australian industries lack the crustacean and mollusc component of the seafood bycatch used in Vietnam, increasing the need for manufactured feeds. The development of such feeds is reliant on knowledge of nutrient requirements, ingredient quality, physical feed requirements, and the link between feeding behaviour and feeding methods. This review will elaborate on the development of these knowledge areas to date and outline the two main reference diet recipes that are available as the basis for future research. Research to date has focused on developing a feed recipe that will be consumed and supports adequate growth rather than steering commercial least‐cost formulation practices. Future research is clearly needed to inform formulation, but equally an understanding of the disparate emerging lobster farming industries and their drivers for the adoption of formulated feeds is required to ensure that such research is applied. This will require engagement throughout the supply chain to ensure that research is implementable and to address farmer perception toward formulated feeds. Technical aspects of feed manufacture and scale‐up of feed developments will be critical to the adoption of research results, while validation through semi‐commercial benchmarks and demonstration farm models are expected to increase commercial uptake of developed feeds.

Research and Development Prospects for Sugarcane Industry in Vietnam.

Sugarcane is one of the most important industrial crops in Vietnam and covers a total of 127,000 hectares of plantation area. In the season 2020–2021, Vietnam has produced 0.763 million tons of sugar (accounting for 0.34% total world sugar production). A current sugarcane production of 7.498 million tons is being used mainly for sugar production for direct consumption, ethanol production, bio-electricity and fertilization. To ensure crop sustainability, various policies and plans have been implemented. Crop breeding and zoning improvement programme significantly influence sugarcane production and sugar yield. Over 25 years since the programme “one million ton of sugar” was promoted, Vietnam currently possesses 25 sugar mills with a total capacity of 110,000 tons of sugarcane per day. Major problems of sugarcane industry as well as research and development have been discussed in this review. Recent research and development work focused on the added values of co-products to ensure sustainability of the sugarcane industry. Molasses will be used for ethanol production, and bagasse is used as the biomass for the alternative energy. Sugarcane and sugar would be the main feedstocks for those bio-economy growths in Vietnam. To keep the sustainable development of the sugar industry, and to meet the demand of the food and non-food requirements, it is necessary to upgrade the sugar value chain through the adoption and the development of co-products of the sugar industry.

Causality of circular business strategy under uncertainty: A zero-waste practices approach in seafood processing industry in Vietnam

This study contributes to the literature by investigating the causality of circular business strategy under uncertainty using a zero-waste practice approach in the seafood processing industry and recommending managerial implications for decision-makers. The circular business strategy has increasingly attracted more notice as a proper solution to address the environmental issues and accomplish economic as well as social benefit with the ultimate target of zero-waste. Yet, prior studies failed to determine circular business strategy attributes with the complete viewpoint and adequate measurement under qualitative information. Studies on zero-waste practices from the firm perspective are limited. To fulfill this gap, this study aims to determine the decisive circular business strategy attributes, their interrelationships in view of sustainable balanced scorecard and examine influential zero-waste practices from firm perspective. A combined method, including fuzzy Delphi method, fuzzy decision-making trial and evaluation laboratory, and Choquet integral is employed. From the original set of attributes, five aspects and 20 criteria are validated. The results present that collaborative circularity, strategic internal process, and technology competency are causal aspects with high involvement among the effect group. The decisive criteria for the seafood processing industry encompass resource consumption minimization, waste minimization, clean technology, by-product marketplace, network development, and coordination upgradation. From initial zero-waste practices of the industry's current status, two critical ones are identified including reuse and recycle.

Building an automatic system based on IoT technology for monitoring and suppressing dust at the coal processing area

Coal mining is one of the industries that makes many contributions to the national economy. However, this industry also has many negative impacts on the environment, especially in areas: mining, processing, storing and transporting coal. Although coal mining companies use dust suppression methods such as the use of high pressure water jets, or fixed sprinkler or misting systems. However, they do not suppress dust frequently can affect to coal quality due to consume too much water. Besides, coal mines can not real-time monitor dust density in the air, also affect to the health of workers as well as reduces the life of machinery and equipment. Therefore, the design and implementation of an automatic coal dust suppression and monitoring system is essential for coal mining industry in Vietnam. This article proposes an automatic dust suppression system for coal processing area based on IoT technology. The system allows real-time monitoring of dust density, warning when exceeding the allowable threshold, automatically turning on/off the mist spraying system according to the measured dust density to ensure safe working conditions for workers as well as the life of machinery and equipment increased.

An Application of the Negative Malmquist Model for Vietnamese Garment and Textiles Industry

Abstract The study purpose is to measure the performance of the Vietnamese garment and textiles industry by means of the Negative Malmquist model using the data envelopment analysis (DEA) method. The empirical results presented the efficient, inefficient cases, and average efficiency for all garment and textile companies in Vietnam during from 2016 to 2020. The main findings determined that five companies, including HTG, TET, MSH, M10, and BDG possessed efficiency scores in whole terms. An overall picture of the garment and textiles industry in Vietnam is used to evaluate the operational process. The research recommends a feasible alternative method to deal with inefficient cases.

Employee Theft Behavior

Employee theft has becoming a serious and challenging issue for all businesses, especially to hotel organizations where employees have easy access to cash, amenities, and other inventories and items. This research is based on the theory of planned behavior, equity theory, and reinforcement theory to study the factors affecting employee theft behavior as well as the moderating effect of the internal control system in the hotel industry in Vietnam. Data were collected through 312 questionnaire responses and 9 in-depth interviews. The results confirmed that personal characteristics, opportunities, unfair compensations, injustice, and unethical working environment do affect stealing behavior at work. Moreover, the internal control system is proved to moderate the attitude and intention to steal to stealing behavior relationships. These results will provide an essential reference for both academicians and professionals to conduct further empirical validation or develop appropriate internal programs to prevent hotel employee theft behaviors.

Technological Spillovers and Determinants of Firm Productivity : Evidence from Vietnam’s Manufacturing Industry

The paper aimed to study the determinants and spatial spillovers of enterprise productivity in the manufacturing industry in Vietnam during the period from 2010 – 2019. The spatial regression model was used to estimate the spatial dependence of enterprise-level TFP. The results showed that technology spillover occurred positively among firms in the region, and this effect decreased rapidly with spatial distance. Furthermore, the results also showed that firm productivity depended on firm characteristics and local market conditions. Further analysis showed that spillover effects’ strength was affected by many other factors: area, presence of FDI, administrative policies, border effect, infrastructure, weak financial factors, utility services, and human resources. These factors created favorable conditions for the smooth connection between major economic centers, creating strong inter-regional spillover effects. From the findings, the study proposed important policy implications.

Forecasting the Coffee Consumption Demand in Vietnam Based on Grey Forecasting Model

Forecasting the domestic coffee consumption demand is important for policy planning and making the right decisions. Thus, in this study, we try to find out the most suitable model among three proposed models (GM (1,1), DGM (1,1) and Grey Verhulst model (GVM)) for predicting the amount of domestic coffee consumption in Vietnam in the future. Yearly data of coffee consumption from 2010–2020 are used in this research. The experimental results indicated that the GM (1,1) is the most accurate model selected in this study with the lowest average value of [Formula: see text]%. So, the GM (1,1) model is strongly suggested in the analysis of coffee consumption demand in Vietnam. Finding the right tool will help managers make right decisions easily for sustainable development of the coffee industry in Vietnam in the future.

Factors affecting asset investment of public companies in plastic and packaging industry in Vietnam

The purpose of this research is to identify and analyze the influence of internal factors on asset investment of public companies in the plastic and packaging industry in Vietnam. The research has built a regression model to determine the relationship of internal factors affecting asset investment of public companies in the plastic and packaging industry in Vietnam. The strength of this research is to use the E-view software in quantitative analysis to build a panel data regression model. At the same time, the researchers used the Hausman test to select the appropriate model compared to other research. The data of the research are collected and calculated from the financial statements of 27 companies in the plastic and packaging industry in Vietnam from 2013 to 2020. The research results show that such factors as sale, equity, and debt ratio have a positive impact on asset investment, the return on assets has a negative impact on asset investment, while the average loan interest rate does not affect the asset investment of enterprises. Therefore, the author has made recommendations to help public companies in the plastic and packaging industry in Vietnam to improve the efficiency of asset investment. The results of this research are very useful for corporate financial managers in helping them make appropriate financial decisions for their companies.

A Model of Factors Affecting Job Satisfaction and Job Performance during COVID-19 Pandemic: Evidence from the Hotel Industry in Vietnam

A Model of Factors Affecting Job Satisfaction and Job Performance during COVID-19 Pandemic: Evidence from the Hotel Industry in Vietnam

Optimization Model in Manufacturing Scheduling for the Garment Industry

The garment industry in Vietnam is one of the country's strongest industries in the world. However, the production process still encounters problems regarding scheduling that does not equate to an optimal process. The paper introduces a production scheduling solution that resolves the potential delays and lateness that hinders the production process using integer programming and order allocation with a make-to-order manufacturing viewpoint. A number of constraints were considered in the model and is applied to a real case study of a factory in order to view how the tardiness and lateness would be affected which resulted in optimizing the scheduling time better. Specifically, the constraints considered were order assignments, production time, and tardiness with an objective function which is to minimize the total cost of delay. The results of the study precisely the overall cost of delay of the orders given to the plant and successfully propose a suitable production schedule that utilizes the most of the plant given. The study has shown promising results that would assist plant and production managers in determining an algorithm that they can apply for their production process.

Supplier Selection Fuzzy Model in Supply Chain Management: Vietnamese Cafe Industry Case

Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization. Choosing the right supplier can help businesses increase productivity, competitiveness in the market, and profits without having to lower the quality of the products. However, choosing a supplier is not a simple matter, it requires businesses to consider many aspects about their suppliers. Therefore, the goal of this study is to propose an integrated model consisting of two models: Fuzzy Analytics Network Process (Fuzzy-ANP) model and Weighted Aggregated Sum Product Assessment (WASPAS) to solve the problem above. The Fuzzy-ANP model was developed to evaluate the weightings of the supplier selection criteria, and the WASPAS Model was used to rank the suppliers. An example of supplier selection in the coffee industry in Vietnam was studied to validate the model, namely 5 main criteria, with 16 sub-criteria, and 7 suppliers. The model test results show that the Fuzzy ANP and WASPAS integration model was suitable. In future, these developing models can apply to other industries or integrate with other models.

Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain

Fertilizer industry in Vietnam and globally have entered the saturation phase. With the growth rate slowing down, this poses challenges for the development impetus of the fertilizer industry in the next period. In fact, over the past few decades, Vietnam’s crop industry has abused excessive investment in chemical fertilizers, with organic fertilizers are rarely used or not at all, limiting crop productivity, increasing pests and diseases. To develop sustainable agriculture, Vietnam’s crop industry must limit the use of chemical fertilizers, increase the use of environmentally friendly organic and natural mineral fertilizers to produce clean agricultural products which is safe. Therefore, it is necessary to consider and choose the right supplier to ensure the goal of sustainable development. Spherical Fuzzy Analytic Hierarchy Process (SF-AHP), and the combinative distance-based assessment (CODAS) are new Multicriteria Decision Making (MCDM) method which can be used to solve supplier selection problem. This paper uses an effective solution based on a combined the concept of triple bottom line (TBL), SF-AHP and CODAS approach to help agriculture companies that need to select the best fertilizer supplier. This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs, but also develop sustainable agriculture.

Discussing Marketing Strategy in Hoi An Tourist Holding Company - A Case in Tourism Industry in Vietnam

Over years, Hoi An Tourism Holding Company (HOT) is not only contributes to solving local labor, contributes to the state budget, but also actively takes care of social security issues. Marketing strategy for HOT can include: Creating a package product and creating a package travel program is one important stage in the operation of companies operating in the field of tourism industry today. Fluctuation of stock price in tourism firms in developing countries such as Vietnam will reflect the business health of tourism system. The article analyzed and evaluated the impacts of multi macroeconomic factors on stock price of a tourism company, Hoi An tourism holding co. (HOT) in Vietnam in the period of 2014-2019, both positive and negative sides. The results of quantitative research, in a quantitative model, show that Sate Bank of Vietnam (SBV) and government agencies need to control inflation and GDP, not increasing too much inflation to favor of stock price.

How Is Individual-Organization Fit Important to Knowledge Sharing and Innovation? An Empirical Study on High-Tech Industry in Vietnam

How Is Individual-Organization Fit Important to Knowledge Sharing and Innovation? An Empirical Study on High-Tech Industry in Vietnam

The Impact of Capital Structure on Firm Performance: Case of Listed Firms in Processing and Manufacturing Industry in Vietnam

The authors aim to examine the impact of capital structure on the performance of manufacturing and processing companies listed on the stock exchange in Vietnam during the period of 2015 - 2020. Through the FGLS model, the study found that the ratio of short-term debt to total assets (STDA) and the ratio of long-term debt to total assets (LTDA) have a negative impact on the performance expressed through ROA. In contrast, in terms of Tobin's Q, STDA has no significant relationship with firm performance but it is negatively impacted by LTDA. The two control variables GROWTH and SIZE both have a positive impact on ROA and Tobin's Q. Based on findings, some recommendations for manufacturing and processing companies to enhance their profitability in the future.