• Journal of Wellbeing Management and Applied Psychology
• /
• v.2 no.2
• /
• pp.19-37
• /
• 2019

Over the last few decades, the atmospheric carbon dioxide emission has been amplified to a great extent in Turkey. This amplification may cause global warming, climate change and environmental degradation in Turkey. Consequently, ecological condition and human life may suffer in the near future from these indicated threats. Therefore, an attempt was made to test the relationship among a number of expected factors and carbon dioxide emissions in the case of Turkey. The study covers the time series data over the period of 1970-2017. We employed the modern econometric techniques such as Johansen co-integration, ARDL bound testing approach and the block exogeneity. The results of the Johansen co-integration test show that there is a significant long-run relationship between carbon dioxide emissions and expected factors. The long-run elasticities of the ARDL model show that a 1% increase in the GDP per capita, electric consumption, fiscal development and trade openness will increase carbon dioxide emissions by 0.14, 0.52, 0.09 and 0.20% respectively. Further, our findings reveal that the environmental Kuznets curve (EKC) hypothesis and inverted U-shaped relationship between carbon dioxide emission and economic growth prevails. Therefore, the EKC hypothesis is valid and prevailing in the Turkish economy. The diagnostic test results show that the parameters of the ARDL model are credible, sTable and reliable in the current form. Finally, Block exogeneity analysis displays that all the expected factors are contributing significantly to carbon dioxide emissions in the Turkish economy.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.1
• /
• pp.25-33
• /
• 2015

From the viewpoint of applications to manufacturing, data mining is a useful method to find the meaningful knowledge or information about states of processes. But the data from manufacturing processes usually have two characteristics which are multicollinearity and imbalance distribution of data. Two characteristics are main causes which make bias to classification rules and select wrong variables as important variables. In the paper, we propose a new data mining procedure to solve the problem. First, to determine candidate variables, we propose the multiple hypothesis test. Second, to make unbiased classification rules, we propose the decision tree learning method with different weights for each category of quality variable. The experimental result with a real PDP (Plasma display panel) manufacturing data shows that the proposed procedure can make better information than other data mining procedures.

• Journal of the Korean Society of Safety
• /
• v.31 no.4
• /
• pp.120-125
• /
• 2016

Usually, a risk can be expressed as a product of likelihood and consequence of a hazard factor. Therefore, conventional risk assessment is carried out by frequency analysis and severity analysis, in turns. However, it is well known that intuitive thinking is another excellent way of thinking of human beings. This study aimed to confirm whether there exist any difference in risk assessment results derived by two different procedures - intuitive and analytical. Thus, the present study showed 10 different illustrations to 30 undergraduate students. Their responses were organized as fuzzy membership functions, and summarized as risk assessments, and compared. The results were also verified with the help of statistical hypothesis testing, which showed no significant difference. On the contrary, however, similarity measure used in fuzzy set theory was not credible as anticipated. Many cases failed to satisfy statistical hypothesis even with similarity measure higher than 0.60 so that only a trend could be accepted. In addition, a subject showed a somewhat consistent logical discrepancy in his response, which implied the necessity of sincere analysis in fuzzy formulations.

• Journal of Distribution Science
• /
• v.18 no.10
• /
• pp.101-110
• /
• 2020

Purpose: The study investigates the implementation of corporate social responsibility (CSR) in the real estate sector of the UAE by collecting the opinions of both the real estate companies and different tenants on the execution of CSR. Research design, data, and methodology: Using a sample of 300 different types of UAE real estate consumers and twenty real estate firms, the researchers collected the opinions of targeted subjects by administering two types of questionnaires. The Cronbach's Alpha and the Kaiser-Meyer-Olkin (KMO) tests were employed to check the internal consistency and validity of the questionnaires. The selected hypotheses were tested using the Kruskal-Wallis (K-W) hypothesis testing technique. Results: The findings revealed that all types of UAE real estate consumers expressed their discontentment over the implementation of socially responsible actions by the real estate companies. Whereas UAE real estate companies expressed their confidence in the ideal implementation of social actions towards all stakeholders in general and tenants. Conclusion: Even though more than 50 percent of realty customers are dissatisfied with the company's implementation of CSR, a little over 54.80 percent are willing to recommend the company to their family and friends. Implications have been provided for UAE real estate companies who wish to promote their business to all categories of UAE real estate consumers successfully.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.3
• /
• pp.225-233
• /
• 2012

The purpose of this study is to observe effect on a result of a business performance depending on the business scale and the success factors of quality. Verified hypothesis of the quality of success factors and business performance are conducted in order to conduct this research. The results of hypothesis testing can be summarized as follows : First, depending on the size of the company, quality of corporate success factors in the management and significant positive was verified to be in effect. Second, depending on the size of the small business companies' human resource management, product/process is significantly positive in effect and medium companies' quality information, quality of suppliers in the commercialization of technology is significantly positive in effect. Third, depending on the size of the small business companies' human resource management, product/process financial performance is significantly positive in effect and mid-sized companies, suppliers in the quality significantly positive show the influence of financial performance. The results of measurement through the size of the enterprise and the successful factors of quality impacts on business performance directly.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.795-802
• /
• 2020

This study seeks to determine the effect of the application of accounting information system (AIS), internal control system, and human resource (HR) competency on the quality of local government financial statements (FS). This study uses agency theory and compliance theory. Agency theory is used to explain that there is a link between the society as the principal and the government as the agent. Compliance theory is a theory, which states that every agency is obliged to comply with regulations because the law-drafting authority has the right to dictate behavior. The population in this study were employees of the financial division of local government organizations in one of the districts in Central Java, Indonesia. The total samples in this study was 106 respondents. The data used are primary data taken from distributing questionnaires to respondents. The method of analysis used to test the hypothesis was multiple linear regression analysis. The results of hypothesis testing indicate that HR competency has an effect on the quality of FS; however, the application of AIS and internal control system has no effect on the quality of FS. The implication of this research underlines the importance of HR competency to improve the quality of local government FS.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.83-89
• /
• 2019

The purpose of this paper is to examine how the social system of deposit insurance affected the financial market in Korea. Specifically, we want to know how much the risk-seeking behavior of financial institutions has increased or decreased. The most important feature of the deposit insurance system is to prevent the insolvency of financial institutions and to properly protect depositors. In recent studies, it has been argued that characteristics of deposit insurance bring moral hazard of financial institutions and that financial institutions make unreasonably risky investments. Therefore, in this study, we will first examine whether such previous research can be applied to the Korean financial market. Next, we will examine the appropriateness of the differential premium rate that is currently used for each financial institution in the Korean financial market. In order to test the first hypothesis, we used the Capital Asset Pricing Model (CAPM) to calculate the total risk for each financial institution. As a result, significant changes were found in all regions before and after the introduction of the deposit insurance system. As for testing the second hypothesis, we conducted a variance analysis of financial institutions' indexes before and after the introduction of the deposit insurance and we discovered significance of the total risk difference.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.7
• /
• pp.77-85
• /
• 2015

In this paper, we present a new method that can detect forged color region using color pattern decomposition and hypothesis testing approach. On the basis of the fact that the variance of the interpolated pixel is smaller than that of the original pixel, we use a statistical test method to judge the statistical inconsistency of variance. For this, we calculate the variance adopting a color pattern decomposition according to the demosaicking pattern. In addition, we apply high-pass filtering to enlarge the difference between the variances of original and interpolated pixel. Through experimental simulations, we can see that our proposed method can effectively detect forged color regions and shows superior detection performance compared to the conventional method.

• Journal of Distribution Science
• /
• v.19 no.6
• /
• pp.5-19
• /
• 2021

Purpose: O2O Service is a major internet-based distribution industry. The purpose of this study is to confirm the effects of positive psychological capital on job intensity, customer orientation, and the mediating effects of trust of O2O employee. Research design, data and methodology: This study aims to identify the effect of positive psychological capital on customer orientation and job intensity through empirical analysis. 475 questionnaires were used for the final analysis using random sampling methods from O2O employees working at leading distribution companies for hypothesis verification. The analysis methods used for hypothesis testing in this study were analyzed using the SPSS 21.0 statistical package. Results: Empirical analysis shows that it is an important factor in increasing job intensity and customer orientation, and that company trust has a significant influence through mediating effects among variables. Conclusions: In order to enhance job intensity and customer orientation for O2O distribution workers, it is necessary to change efforts with management efforts for positive psychological factors and trust. It is also believed that company trust should be considered as an important factor in the future leadership competency development system in that it can promote positive psychological capital, further strengthening job intensity and customer orientation.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.3
• /
• pp.191-199
• /
• 2019

This study is about online purchases of foods that have been reluctant to deal with distribution processes and reliability issues. We find out that attributes of the online food market affects behavior intention and whether it differs according to consumption tendency. A survey was conducted on consumers who had ever purchased food online for hypothesis testing. Reliability and feasibility were reviewed for the collected data and the hypothesis was verified through structural equation model analysis. While product diversity, product information and customer service factors of the online food market significantly affect behavior intention, price is not. We identified differences in the impact of behavior intention on consumption tendencies. For the Gaseongbi group, only the product information factors have significant effect on behavior, and for the Gasimbi group, the price and customer service factors have a significant effect on behavior intention. The findings provide theoretical and practical implications for marketers to study various marketing method based on consumer tendencies.