• Journal of the Korean Dietetic Association
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• v.9 no.1
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• pp.13-21
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• 2003

Dietitians' satisfaction between elementary school and high school in KangWon Do region were surveys with questionnaires. 61 elementary school dietitians and 30 high school dietitians participated. The dietitians in elementary schools had higher scores in age, marital status, years at work, types of employment, average annual income and had lesser hours of work. In overall, elementary schools had higher percentage on self operation and on the period of their food distribution to students. High schools had higher percentage on conventional systems, freedom in the amount of food distribution, number of meals per day and the meal charge. It was clear that dietitians in high schools showed more interests in changing their careers due to the poor working environment and salary. The highest score was on the relationship with other coworkers and the lowest score was on the poor working environment and salary. In general, dietitians in both types of schools are not satisfied with their career, especially with the working environment and salary.

• Asian Journal of Business Environment
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• v.12 no.3
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• pp.23-30
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• 2022

Purpose: This study aims to determine the effect of broadband access, education level, population numbers, and investment on the unemployment rate in Indonesia. Research design, data, and methodology: This study uses panel data from 34 provinces from 2016 to 2019. The analysis uses the fixed-effect model for panel data with the Feasible Generalized Least Square (FGLS) estimation method. Results: Broadband access has a negative and significant effect on the unemployment rate. Mean years of school, population, and foreign direct investment also have a negative and significant impact on the unemployment rate. In contrast, the domestic direct investment variable has a positive and significant effect. Conclusion: The availability of broadband access in an area allows easier and faster access to information. The ease of access to such information can affect producing goods and services, encouraging innovation and employment growth, and reducing the unemployment rate. This research recommends that the government intensify the Indonesia Broadband Plan policy to accelerate the development and equitable distribution of broadband access in all regions of Indonesia.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.157-173
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• 2017

Purpose: This study analyzed the effects of employees' perception of fairness and organizational commitment on productive behavior in firms. In addition, we analyzed how the employment patterns(full-time vs part-time) of employees adjust the relationship of each variable. Methods: In order to carry out the research, we surveyed about 400 people working in domestic large corporations and global corporations and analyzed them empirically Results: According to the empirical analysis, Fairness perception has a positive (+) effect on organizational commitment and productive behavior, and organizational commitment has a positive (+) effect on employee's productive behavior. In particular, the relationship between fairness perception and organizational commitment and productive behavior varies according to the employee's employment pattern(full-time vs part-time). Conclusion: this study is to increase the organizational commitment of employees in the process of organizational socialization, to ensure fairness in procedures, distribution and interactions to drive productive behavior, Suggesting that employees should be provided motivation and welfare benefits without discrimination.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Asian Journal of Business Environment
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• v.10 no.2
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• pp.17-21
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• 2020

Purpose: This paper explores diverse issues related to the problem of women's unpaid domestic care work, and as a factor of gender inequality in their professional practice. Research Design: This article concentrated only on the analysis of secondary data available on the topic along with observation of facts in Kazakhstan based on diverse sources. In current conditions, the problem of women's unpaid domestic care work, and consequently, the lack of enough time and energy for professional employment. Distinguish domestic work vs. job/career/occupation, self-fulfillment, education, and leisure has a significant impact on women's life satisfaction. Data, and Methodology: This article focuses only on secondary data available in different sources from which the researchers procures comprehensive data and information. Results and conclusion: A family policy that aims to promote combining maternity, and domestic work with paid employment is an effective way to increase the proportion of working mothers/women. It is crucial to not only proportionally distribute the household responsibilities in the family but also to form an effective mechanism of state support for women through the development of the social services sector, as well as the adoption of a system-wide approach to gender equality.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.229-239
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• 2020

This article aims to measure the impact of economic growth and urbanization on poverty reduction in Vietnam, and verify whether economic growth and urbanization will help reduce poverty rates. Data for this study are tabular data related to growth, urbanization and poverty at the provincial level for the period of nine years, from 2006 to 2014 provided by the Vietnam General Statistics Office and the Vietnam General Department of Customs. The level of economic growth and urbanization mentioned in the study is reflected in such indicators as GDP value, exports value, imports value, urbanization rate and employment rate. The authors used logistic regression models with fixed-effects and logistic regression models with random effects. With 5% confidence level tested by the Chi-Square test of Hausman trial with the fixed-effect model, research results show that: (1) factors with significant negative impact on the poverty rate include imports value, urbanization rate and, employment rate; (2) factors that do not affect the poverty rate include exports value and GDP value. Based on the research results, this study proposes a number of policy recommendations to help promote economic growth, to sustain the urbanization process, and to contribute directly and positively to poverty reduction in Vietnam.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.541-548
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• 2020

This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.2
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• pp.19-25
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• 2015

This research is aimed the furthest development of the conception of Human capital formation. The study made on the base of methods of scientific classification and systematization; dialectical method and the method of scientific abstraction, systematic and comparative analysis; expert assessment and ratings. Formation of the competitive human capital is one of the most important goals of modern development of Kazakhstan in condition of the innovative economy construction. In this context the necessity of formation and development of the effective human capital considerably increases. Realization of this requires definition of a technique of measurement of its cost as well. The authors attempt to calculate the value of human capital for Kazakhstan during independency time. In order to determine the methods of its quantitative and qualitative assessment different methodological ways for human capital research are studied. On the basis of the study, it was revealed that formation of the competitive human capital can't be considered in a separation from development and modernization of system of quality education, improvement of the employment sphere, worthy payment for work.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.203-212
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• 2023

This research work aims to investigate the role of FDI in Economic Development by assessing its relationship with GDP per capita in Vietnam +5 from 1986-2020. Through descriptive statistical, correlation matrix analysis, and econometric models, including Vector Error Correction Model (VECM) and Feasible Generalized Least Squares (FGLS) estimation methods using Stata 15.1. The VECM estimation method results show that FDI positively impacts Economic Development in the short run while not finding a long-run relationship. In addition, it is found that a clear relationship between Exports and Economic Development in both the short run and the long run. Meanwhile, CO2 emissions and Employment Opportunities have no clear relationship with Economic Development in the short run. However, the relationship is reversed in the long run, as the empirical study in Vietnam. The results of the FGLS estimation method show that FDI, CO2 emissions, and Exports have a significant and positive impact on Economic Development in five selected Southeast Asian countries without Employment Opportunities in the long run. From these findings, the author proposes some policy implications of attaching FDI to sustainable Economic Development in Vietnam next time.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.201-208
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• 2023

The coronavirus (COVID-19) pandemic poses disastrous effects on human lives and hinders global efforts to realize the Sustainable Development Goals (SDGs) by 2030. The study examined the effects of the pandemic on unemployment toward realizing the SDGs. The downsizing and collapse of businesses have forcibly left many unfortunate Malaysians jobless and without income. The situation may directly influence government efforts to achieve SDG 8 'Decent work and economic growth', which indirectly affects SDG 1 'No poverty', SDG 2 'Zero hunger', and SDG 3 'Good health and well-being'. Pre-and post-pandemic assessments on unemployment and retrenchment level by sector were performed by adopting observation and data comparison methods. Critical findings revealed that the unemployment rate has risen among males and females and the youth, as well as the number of retrenchments. The services sector, specifically the wholesale, retail, trade, and hotel industry showed the highest number of retrenchments. Some important unemployment issues were also covered in this study, including the demand for employment, the role of government and business, and the effect of the gig economy on the current employment landscape. The avenue for future studies can focus on additional societal effects that could prevent the country from attaining the SDGs by 2030.