• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.1-9
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• 2023

In order to carry out construction work, it is urgent to introduce a proper wage system so that the cost burden of projects that have been won due to bleeding competition among original government buildings based on low-priced bids can be transferred to subcontractors. Purpose: Construction with illegal multi-level industrial structure needs to improve the wage reduction environment leading to order (100%) → original contractor (80%) → subcontractor (65%) → load contractor (65%) and aims to ensure wages for end workers. Method: Investigate the current status of labor cost appropriate payment plan in the construction industry, and investigate the case of the appropriate wage system (P.W) in the United States. In addition, the effect and direction of the appropriate wage system are presented. Result: Individual minimum wage security was also mentioned in the Constitution, and many researchers suggested that only the introduction of an appropriate wage system could solve the problem of reducing worker labor and ensure quality and safety. Conclusion: The proper wage system in the construction industry will block illegal multi-level and illegal foreign work, improve the labor environment in the construction market, create an influx of young workers, and have a significant impact on the construction industry's competitive structure, safety, and quality.

• Journal of Korean Society of Forest Science
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• v.112 no.2
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• pp.217-229
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• 2023

Forest projects often apply construction industry labor rates, without considering the demanding work conditions and labor intensity unique to forest operations, resulting in workplace issues. This study aims to analyze forest operations' characteristics and wage survey methods in other fields to establish a framework for surveying the wages of forest workers. The developed framework was tested through direct surveys conducted with all forest operation companies. Survey items included actual wages by occupation, identification and removal of outliers using quartile deviation, and occupation-based wage calculation. Results revealed that the appropriate wages for 2022 were as follows: KRW 163,376 for general workers, KRW 221,407 for special workers, KRW 250,045 for work leaders, and KRW 239,863 for wood cutters. These figures were 16.27% higher than those derived from the standard construction wage survey. The developed framework was validated by comparing the appropriate wages with both the standard construction wage survey and the forestry workers' wage. The results indicated that the wages calculated using the developed framework were 4.5% more similar to the forestry workers' wage compared with those from the standard construction wage survey. Consequently, the standard construction wage survey was deemed unsuitable for forest projects. To ensure efficient forest operations, it is imperative to conduct wage surveys using the developed framework over multiple years to accumulate sufficient data.

• Journal of radiological science and technology
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• v.41 no.6
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• pp.617-626
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• 2018

This study aims to provide the basic data helpful for the improvement of rights and interests of radiological technologists, by understanding the current working environment and if they get the proper reward through the analysis on the perception of appropriateness of current wage and job satisfaction of radiological technologists. Survey was conducted to evaluate the perception of satisfaction with job and wage system, work intensity, necessity of the radiological technologist limit system, and turnover in accordance. The appropriate starting salary was low in case of women and non-capital area, and when the age, academic background, career, and hospital size were lower. The appropriate wage was low in case of women and non-capital area, and when the academic background and hospital size were lower. The negative perception of the necessity to change the wage system was shown in university hospitals. Regarding the work intensity, in case of women and low career, and when the age, academic background, and hospital size were higher, the work intensity was perceived as high. When the academic degree and hospital size were lower, the positive perception of the radiological technologist limit was shown. The turnover intention was high in case of women, and when the age, academic background, career, and hospital size were lower. In order to increase the job satisfaction of radiological technologists, it would be necessary to the appropriate reward and the environment where they could concentrate on work.

• The Journal of Industrial Distribution & Business
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• v.12 no.3
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• pp.31-41
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• 2021

Purpose: The purpose of this paper is to analyze the impact of the minimum wage policy and the employment labor force in Myanmar by exploring firms' actions such as installing supplementary machines to substitute for labor resources and by addressing gender issues in employment. Research design, data, and methodology: This paper applies a fixed-effect estimation method by using the World Bank's enterprise panel data set surveyed in Myanmar. Results: Findings suggest that the minimum wage reduces both full-time and part-time employment, while the first minimum wage policy increases overall female employment. The adverse impacts are more pronounced for female employees of Joint Venture enterprises and enterprises located in the less-populated regions. Investment in capital such as equipment and machinery increase to substitute for labor after the minimum wage policy implementation; as a result, full-time employment slightly decreases. Conclusions: Appropriate measures concerning the minimum wage policy must be prepared by the government and institutions related to the labor union to serve the well-being of employees. Government of Myanmar should fix the minimum wage in a reasonable period based on the fiscal year for both employers and employees to prevent possible issues and losses resulting from the minimum wage being set.

• Asia pacific journal of information systems
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• v.4 no.1
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• pp.3-31
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• 1994

Potential employers considering locations for production or service facilities typically equire detailed advance knowledge of the wages they will be expected to offer for workers in various occupational categories. The State of Missouri s Department of Labor and Industrial Relations is often contacted by organizations requesting such information. The current wage rate survey approach, initiated in 1988, allows the Department to predict an appropriate wage rate for a given occupation in certain counties, adjusted for changes in the Consumer Price Index (CPI). However, both Department employees and firms have indicated that improved prediction responsiveness and accuracy are desirable. A major deficiency of the current approach is its inability to predict wages for unsurveyed counties. This paper describes a knowledge-based system (KBS), currently in the prototype testing stage, that is expected to supplement the wage rate survey in the near future.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.145-153
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• 2018

Recently the Korean society has suffered severe conflicts over the rate of increase in the minimum wage, while academics have failed to provide appropriate standards through reliable research. Recent foreign studies using natural experimentation or meta-regression analysis show that the increase in minimum wage has little effect on employment. Domestic studies are not yet numerous in number, and they present different conclusions on employment effects depending on the data used, sample period, and research model. To properly assess the employment effects of the minimum wage, future studies should minimize measurement errors in minimum wage dataset, and appropriately consider the endogenous change of minimum wage, economic situation and trends of employment changes. It is also necessary to utilize natural experiment methods before and after the increase of the minimum wage.

• Journal of Labour Economics
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• v.37 no.1
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• pp.59-85
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• 2014

This paper analyses an impact of wage scheme and transparency of performance evaluation on the productivity. The main findings in this paper are as follows: First, the effect of wage scheme based on seniority system on the productivity is worse off than the performance pay. Second, there is a positive relationship between an incentive and the productivity, but, in the case of firms which individually informs the results of performance evaluation to their workers, it shows the hump-shaped relationship. Third, though the wage scheme is based on the performance, if the evaluation system is not transparent, the impact of incentive on the productivity is disappeared. Consequently, this paper implies that the appropriate incentive and the transparent performance evaluation system are required so as to improve the productivity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.853-860
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• 2022

The purpose of this study is to suggest an improvement plan for the calculation method of the engineer standard wage rate (ESWR) and to compute a reasonable ESWR. To this end, an adequacy review of theESWR calculation criteria was conducted along with an extensive engineering industry survey. The survey results were analyzed using an effective response sample of 748 companies out of 1,000 survey samples extracted by stratifying the 5,879 survey population. The main results were as follows. ①When calculating the engineering service fee, the prime contractor's engineer wage is suitable for the ESWR. The ESWR can be estimated by the formula 'average wage÷[1-proportion of subcontract orders×(1-subcontract rate)].' ② The field survey showed that the number of monthly working days was 20.35-20.54 days at 99 % confidence interval, which was significantly different from the current standard (22 days). In addition, as a result of a legal review of the ESWR criteria, it was found that the number of working days should be calculated in accordance with the Labor Standards Act after 2022. ③ Applying government guidelines, the time difference between the wage survey and the ESWR application can be corrected by the past ESWR increase rate for a specific period. ④ Using modeling based on the analysis above, the current ESWR was 13.5-14.5 % lower than the appropriate level. A lower ESWR was driven by the non-reflection of subcontract structure (4.1 %), overestimation of monthly work days (6.8-7.8 %), and application of past wage (2.6 %). The proposed model is expected to be widely used in policy making, as it can provide a useful framework for calculating the standard wage rate in similar industries as well as calculating appropriate engineering fees.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.1
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• pp.99-108
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• 2016

Objectives: The purpose of this study is to analyze factors associated with depression among wage earners by subjective health and stress perception. Methods: The study subjects include 1,787 wage earners(aged 19 and older) who are currently working, using data from the 2014 National Health and Nutrition Survey. Data were analyzed using frequency test, t-test, ANOVA and multiple regression. Results: Multiple regression analysis showed that perceived stress level, subjective health status, age, monthly household income, sex, marital status, average daily sleeping time, and whether type of employment was regular or non-regular were significantly related to depression. Conclusions: It is necessary to develop an appropriate mental health promotion program and to manage prevention of depression at the national level.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.65-75
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• 2015

This paper analyzes the determinants of wage for the college and university graduates utilizing both individual-level and industry-level variables. We note that wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and industry-level (level-2) variables. Then, the assumption that individual wage is independent in the classical regression is violated. Therefore, this paper utilizes the hierarchical linear model (HLM). The major results are the followings. First, the multiple correspondence analysis including level-1 and 2 variables reveals that both level 1 and level 2 variables affects individual wages judging from the fact that the values of level 1 and level 2 variables differ across the different level of individual wage groups. Second, the decision tree analysis including level-1 and 2 variables shows that the most influential variable in wage determination is industry-level wage and the next is industry-level working hour, ages and sex in the decling order in. This suggests that the utilization of the HLM is appropriate since the characteristics of industry is important in determining the individual wage. Third, it is shown that the HLM model is the best compared to the other models which do not take level-1 and level-2 variables simultaneously into account.