4 research outputs found

    Determinants of Working Motivation and Loyalty of Workers: A Case Study of Enterprises in Dong Nai Province

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    Purpose: The article aims to determine factors affecting employees' work motivation and loyalty in enterprises in Dong Nai province.   Theoretical framework: Research theory on work motivation and employee loyalty. Work motivation is the motivation of people to work enthusiastically, helping them promote their inner potential and overcome challenges and difficulties to complete the work in the best way.   Design/Methodology/Approach:  The research method of this study is a combination of qualitative research methods and quantitative research methods. Qualitative research: group discussions were conducted with 30 business experts with extensive experience in human resource management and longtime business directors in Dong Nai. Quantitative analysis was carried out with an expected sample size of 1000 enterprises in enterprises, selected by convenient sampling method.   Findings: The study contributes to a new survey of the factors affecting the work motivation and loyalty of employees in enterprises in Dong Nai province as a reference for academic studies and other in the field of human resource management.   Research, practical & social implications: The research results of the research paper serve as a scientific basis for business leaders in Dong Nai province to propose reasonable policies to improve employees' work motivation and loyalty at enterprises in Dong Nai province.   Originality/Value:  The paper's originality and value help managers contribute to the study to add a suitable work motivation and loyalty model for today's Vietnamese business leaders

    Managerial Implications for Enhancing Working Motivation and Loyalty of Workers of Enterprises in Dong Nai Province

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    Purpose: The article aims to assess the factors affecting employees' work motivation and loyalty in enterprises in Dong Nai province. On that basis, the authors propose managerial implications to improve employees' work motivation and loyalty at enterprises in Dong Nai province.   Theoretical framework: Motivation and loyalty is reflected in the employee's intention to stay with the organization for a long time, even when receiving a more attractive salary offer from other organizations. Work refers to the positive effects of work on each person, related to the challenges at work, the opportunity to develop personal abilities, and the enjoyment of doing the job.   Design/Methodology/Approach: Quantitative method was carried out through direct interviews with 1000 workers using a questionnaire designed based on the results of the qualitative research step. The data were processed by SPSS 20.0 and Amos software. The reliability of the scales was tested using Cronbach's Alpha reliability coefficient, EFA exploratory factor analysis, confirmatory factor analysis (CFA), and structural model analysis (SEM) in Dong Nai province from June 2022 to December 2022.   Findings: The study's contribution is to identify the factors of corporate culture, social responsibility, and management capacity to promote work motivation and employee loyalty.   Research, practical & social implications:  Classical theories are used to study work motivation, add 3 factors, find out the remaining problems, and propose management implications to improve the work motivation of employees' activities soon.   Originality/Value: The results are also scientific evidence and are essential for researchers and policymakers for businesses to apply research results to improve employee motivation and loyalty of employees

    Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam

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    Soil Organic Carbon (SOC) influences many soil properties including nutrient and water holding capacity, nutrient cycling and stability, improved water infiltration and aeration. It also is an essential parameter in the assessment of soil quality, especially for agricultural production. However, SOC mapping is a complicated process that is costly and time-consuming due to the physical challenges of the natural conditions that is being surveyed. The best model for SOC mapping is still in debate among many researchers. Recently, the development of machine learning and Geographical Information Systems (GIS) has provided the potential for more accurate spatial prediction of SOC content. This research was conducted in a relatively small-scale capacity in the Central Vietnam region. The aim of this study is to compare the accuracy of Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Random Forest (RF) methods for SOC interpolation, with a dataset of 47 soil samples for an area of 145 hectares. Three environmental variables including elevation, slope, and the Normalized Difference Vegetation Index (NDVI) were used for the RF model. In the RF model, the values of the number of variables randomly sampled as candidates at each split, (mtry), and the number of bootstrap replicates, (ntree), were determined in terms of 1 and 1,000 respectively The results at our research site showed that using IDW is the most accurate method for SOC mapping, followed by the methods of RF and OK respectively. Concerning SOC mapping based-on auxiliary variables, in areas where there is human activity, the selection of auxiliary variables should be carefully considered because the variation in the SOC may not only be due to environmental variables but also by farming technologies

    Impact of Infectious Disease after <i>Lactococcus lactis</i> Strain Plasma Intake in Vietnamese Schoolchildren: A Randomized, Placebo-Controlled, Double-Blind Study

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    Lactococcus lactis strain Plasma (LC-Plasma) is reported to have anti-viral effects via direct activation of plasmacytoid dendritic cells, which upregulate the production of type I and III interferons. A randomized, placebo-controlled, double-blind, parallel group study was designed for elementary schoolchildren, grades 1 to 3, in Vietnam. LC-Plasma or a control were administered to schoolchildren as a beverage (1.0 × 1011 count LC-Plasma/day/person). The primary endpoint was to determine the efficacy of LC-Plasma in reducing the cumulative days absent from school due to upper respiratory disease (URID) and gastrointestinal disease (GID), and the secondary endpoint was to evaluate the potency of LC-Plasma on URID/GID symptoms and general well-being scores. LC-Plasma intake significantly reduced the cumulative days absent from school due to URID/GID (Odds ratio (OR) = 0.57, p = 0.004) and URID alone (OR = 0.56, p = 0.005); LC-Plasma also significantly reduced the number of cumulative fever positive days during the first 4 weeks of intervention (OR = 0.58, p = 0.001) and cumulative days with diarrhea during the last 4 weeks of the intervention period (OR = 0.78, p = 0.01). The number of positive general wellbeing days was significantly improved in the LC-Plasma group compared with the control throughout the intervention period (OR = 0.93, 0.93, p = 0.03, 0.04 in the first and last 4 weeks of the intervention, respectively). These data suggest that LC-Plasma seems to improve the health condition of elementary schoolchildren and reduces school absenteeism due to infectious disease, especially URID
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