TRA VINH UNIVERSITY JOURNAL OF SCIENCE; p-ISSN: 2815-6072; e-ISSN: 2815-6099

The research was conducted to determine the effects of psychological capital on the personality on hotel staff working in an engagement setting in Ho Chi Minh City, Viet Nam. Data was collected by surveying 378 staffs who are working in hotels in Ho Chi Minh City which are rated 3 stars or more. Descriptive analysis, exploratory factor analysis, and linear regression analysis were used with SPSS 20 statistical package for data analysis. The results show that all psychological capital factors, including hope, efficacy, resilience and optimism have hadpositive impacts on hotel staffs’ work ethic. The study also demonstrated the effects of personality on the hotel staffs’ engagement with their work. The research outcomes suggest some managerial solutions to management problems by adapting psychological capital data and to take into consideration the personality of staff to enhance employees  working in engagement settings in Ho Chi Minh City.

With the exponential growth of information, it is no surprise that we are in a period of history as the Information Age. The rapid growth of data has presented challenges regarding storage and processing technology. This article refers to Apache Spark, an ecosystem that provides many integrated technologies in Big Data processing, including machine learning libraries and data storage platforms. Apache Spark provides distributed data processing for open source applications, loading data in-memory and making operations for analyzing data of any size, with efficient support for popular programming languages like Java, Scala, R, and Python. The article aims to compare the superior computing power of Saprk compared to Hadoop and how to connect Spark with today's popular data processing tools such as the R language.

This research aims to survey the factors in the process of quality of lucuma jam (Pouteria lucuma). The main contents included (i) Investigating the effects of added water (v/w) (60%, 80%, 100%, 120%, 140%); (ii) Optimizethe ratio of sugar (50%, 60%, 70%), acid citric (0.2%, 0.3%, 0.4%) and pectin (0.5%, 1.0% and 1.5%). The results showed that by adding 100% water, the jam product achieved the highest sensory score and attractive color for L*, b* of 30.12 , and 30.96, respectively. The ratio of sugar (70%), citric acid (0.2%) and pectin (1.0%) in the supplementary mixture resulted in a total polyphenol of 21.53 mgGAE/L and 62.67oBx of the final product and gained the highest scores from the sensory panel, which evaluated the jam by perceptive color, flavor, taste , and texture.

This study aims to determine the parameters of the enzymatic hydrolysis process of red pumpkin starch to increase the resistant starch content in the material. The liquefaction stage was designed with two factors: α-amylase concentration and different times. The results of the α-amylase liquefaction process showed that the highest reducing sugar content was 14.92% at an α-amylase concentration of 11 U/g and time of 50 minutes, with a fixed starch: water ratio of 1:4. The saccharification experiment was carried out based on a multivariate model using the Central Composite Design method and yielded expected results, with variance analysis in the regression model showing significance (p < 0.05). The reliability of the model R2 = 0.997 showed that the regression model was suitable for the dataset with 99.7% accuracy. CV = 2.08% indicated that the accuracy and reliability of the experiments were good. At a glucoamylase concentration of 112.424 U/ml, a temperature of 48.590oC, and a time of 179.732 minutes, the highest resistant starch content reached 35.968%. Solubility and swelling increased with temperature: at 90oC, the solubility of native starch and modified starch were 12.12% and 68.85%, respectively, while swelling of native starch was 6.77%, and modified starch achieved 3.39%. Thetransparency of native starch was 5.37% T, while modified starch achieved 2.17% T.

The forms of collective economic production organizations (CEPOs) are increasingly encouraged, especially for small-scale producers. The study was carried out from March to July 2021 through interviews with 45 riceshrimp farming households, including 25 households belonging to the CEPOs and 20 individual households in the Soc Trang Province aiming to evaluate the financial performance of the model. The research results show that the farming scale of the CEPOs’ households is larger; the stocking density is lower; but the yield is higher than that of the counterparts (591.5 kg shrimp and 6.36 ton of rice/ha/crop, compared to 385.1 kg of shrimpand 4,23 ton of rice/ha/crop, respecitively). There are no statistically significant differences in the cost indicators, but the indicators of financial performance of the CEPOs’ households are statistically significantly higher than that of individual households (profit reaching 45.9 mill.VND for shrimp and 54.1 mill.VND/ha/crop for rice, double that of individual households). Shrimp CEPOs play an important role in gathering production through input sumply contracts, technical support, preferential policies on capital and contributing to job creation and income enhancement for shrimp farming household.

The factors influencing students’ decisions during the selection of a subject major is important for the  development of colleges in Vietnam. This study aims to address the factors impacting the choices of students to select the ‘Hotel Management’ major, at Kien Giang College, Vietnam, and analyze the influence level of each factor. The results confirm four factors that impact the decisions of students studying the major in Hotel Management at Kien Giang College, which are: (1) Hobbies, previously acquired skills, and the availability of jobs in the current job market; (2) The prestige of the college; (3) The benefit of studying; and (4) Sponsor policies and the opportunity to enhance the students’ livelihoods. Based on the outcome, this study also provides further suggestions to attract more students to major in hotel management at Kien Giang Collegein the future. 

This research aims to survey the factors in the process of quality of lucuma jam (Pouteria lucuma). The main contents included (i) Investigating the effects of added water (v/w) (60%, 80%, 100%, 120%, 140%); (ii) Optimizethe ratio of sugar (50%, 60%, 70%), acid citric (0.2%, 0.3%, 0.4%) and pectin (0.5%, 1.0% and 1.5%). The results showed that by adding 100% water, the jam product achieved the highest sensory score and attractive color for L*, b* of 30.12 , and 30.96, respectively. The ratio of sugar (70%), citric acid (0.2%) and pectin (1.0%) in the supplementary mixture resulted in a total polyphenol of 21.53 mgGAE/L and 62.67oBx of the final product and gained the highest scores from the sensory panel, which evaluated the jam by perceptive color, flavor, taste , and texture.

The concentrations of heavy metals in soil and rice plants around the landfill area in Dong Thang commune, Co Do District, Can Tho City, Viet Nam needed to be assessed for environmental pollution. Soil samples were collected from four sites (three sites S1, S2, S3 near and one site S4 far away from the landfill area) at soil depths of 0 to 25 and 25 to 50 cm. The rice and soil samples were simultaneously collected at the same locations for analysis of heavy metals. The heavy metals Mn, Zn, Cu, Cr, Ni, Pb and Cd were analyzed using atomic absorption spectroscopy. Six heavy metals including Mn, Zn, Cu, Cr, Ni, and Pb were detected and ranged from 12.3 to 291.0 mg/L for the top soil and 11.2 to 370.0 mg/L for 25 to 50 cm soil layer. However,  concentrations of Ni, Cu, and Pb in soil tended to decrease while Mn, Zn and Cr tended to increase with an increase of soil depth near the landfill. A similar tendency of heavy metal concentration with depth was found at S4 except for Cu. The decreasing order of the selected heavy metals concentrations in the two soil layers at near the landfill was Mn>Zn>Ni>Cr>Cu>Pb and these concentrations of heavy metals were within the limits of QCVN 03-MT: 2015/BTNMT and Canadian Council of Ministers of the Environment (CCME, 2007). The result of the bioaccumulation factor (BAF) in rice plants showed that the selected heavy metals were accumulated more in the root rather than the stem-leaf and grain. Mn was accumulated dominantly in both root and stemleaf, while Zn, Cu, and Pb only accumulated in the root. Thus, result of this study suggests that is essential to collect and treat the heavy metals in the leachate properly to minimize the distribution of heavy metals to the paddy soil environment.

This study aims to determine the parameters of the enzymatic hydrolysis process of red pumpkin starch to increase the resistant starch content in the material. The liquefaction stage was designed with two factors: α-amylase concentration and different times. The results of the α-amylase liquefaction process showed that the highest reducing sugar content was 14.92% at an α-amylase concentration of 11 U/g and time of 50 minutes, with a fixed starch:water ratio is 1:4. The saccharification experiment was carried out based on a multivariate model using the Central Composite Design method yields expected results, with variance analysis in the regression model showing significance (p < 0.05). The reliability of the model R2 = 0.997 showed that the regression model was suitable for the dataset with 99.7% accuracy. CV = 2.08% indicated that the accuracy and reliability of the experiments were good. At a glucoamylase concentration of 112.424 U/ml, a temperature of 48.590°C, and a time of 179.732 minutes, the highest resistant starch content reaches 35.968%. Solubility and swelling increase with temperature: at 90°C, the solubility of native starch and modified starch are 12.12% and 68.85%, respectively, while swelling of native starch is 6.77% and modified starch achieves 3.39%. The transparency of native starch is 5.37% T, while modified starch achieves 2.17% T.

This study proposes a research model of the factors affecting customer satisfaction with the service quality of San Ha Retail Group. The study proposes a service quality measurement model with five factors and 20 observed variables. The study used the method of testing the reliability of the model scale by Cronbach’s Alpha coefficient, the exploratory factor analysis, and the multivariate regression analysis to explore the results of interviews with 130 customers who have used products and services of San Ha Retail Group. The results show that customer satisfaction with the service quality of San Ha Retail Group is influenced by five factors, including empathy, responsiveness, tangibles, reliability, and service capacity. The findings from the research suggest solutions to increase customer satisfaction when using products and services for San Ha Retail Group.