Emergency response has been considered as an important task in practice, because it is directly associated with the survival of patients. However, it is very difficult to increase the number of fire stations due to the budget and efficiency problem. Under this circumstances, it is critical to consider the suitability of current arrangement for 911 fire station. This is especially true in Gyeonggi-Do where the characteristics of each sub-area are different. In response, this study aims to identify types of areas that are vulnerable for emergency situations, and try to find relevant solutions for each type. For this purpose, we collected 151,463 data for emergency declaration data which exceeds 10 minutes for its response. Total 19 clustering variables which are used as input variables are selected, considering the characteristics of each area. As a result of clustering analysis, three clusters are identified and analyzed. Finally, areas whose emergence response time is in top 10% are selected and analyzed. This paper is expected to find current issues and problems of emergency response for each area, and help to understand and solve the problem for the local government.

Corruption is a serious political factor that distorts economic structure and slows economic development. In particular, the transition to the market opening economy increases the corruption incentives due to the transitional situation. The purpose of this study is to investigate the influencing factors on corruption using 2013 Myanmar Enterprise Survey data provided by World Bank. As a result of the analysis, it was found that the manager 's willingness to dealing the regulation and the necessity of licensing had a positive relationship with corruption at the level of 90% and 95%, respectively. In the competitive environment factor, the intensity of the competition showed a significant increase at the level of 90%. In the institutional environment, the perception of social corruption and the obstacle of the taxation authorities increased the corruption. On the other hand, the increase in the instability of the political environment and strict enforcement of laws has been shown to reduce corruption. However, there was no significant relationship between managerial capacity, corruption of competitors, tax rate, and administrative environment.

Despite that QR codes are spreading worldwide in Pin Tech, logistics distribution, etc., South Korea is staying at the level of using QR codes in limited areas such as website connection and marketing communication. The purpose of this study is to propose measures for more effective use of QR codes by examining the effects of personal innovativeness on user's behavioral intentions by applying personal innovativeness to QR codes. To this end, this study was intended to examine the relationships between performance expectancy (PE), effort expectancy (EE), social expectancy (SE), and personal innovativeness, which are variables used in the Unified Theory of Acceptance and Use of Technology (UTAUT) model among innovative technology acceptance models, and behavioral intentions.
For this study, a questionnaire survey was conducted with students in collages in the metropolitan area in May 2018 and the results were statistically verified using IBM SPSS 21. The results showed that PE, EE, and SE had significant positive(+) effects on personal innovativeness and behavioral intentions of QR code users. The mediating effects of personal innovativeness were tested and the results indicated that personal innovativeness partially mediates between PE and behavioral intentions and between EE and behavioral intentions but not between SE and behavioral intentions. The fact that since QR codes are expressed as a component to users through other media rather than its internal factors, the personal innovativeness of QR code users plays an important role in increasing the use of QR codes could be identified through this study.

Before the financial crisis of 1997 in Korea, many industrial sectors across the country have achieved remarkable economic growth since the 1970s because of the development of large-scale equipment industries such as civil engineering, steel, construction and chemical industries. However, after the financial crisis, the economic growth rate has slowed down. Also, the global recession and the rise of China in the global business environment have led to a long-term recession in the national industry as a whole. In current economic environment, it is not easy for the companies even having excellent resources to continue its competitive advantage. Moreover, the chemical industry, which has an influence as a basic industry of other industries, misses the point of transformation into a high value-added industry, as shown in previous research. In order to meet the rapidly changing global business environment, Korean chemical companies should have a dynamic capabilities which to rapidly reallocate and consolidate the resources and capabilities they possess. The dynamic capabilities to convert, rearrange and develop the resources possessed by the company in the direction of creating high added value and to promptly search for, absorb, transform and fuse newly required capabilities and resources should be continuously applied to Korean chemical companies. It is the core competence to secure competitive advantage.
In order to secure the dynamic capabilities of the company, the dynamic capabilities of individual employees should be strengthened and employees should be able to demonstrate their own leadership so that they can proactively work and self-manage in a positive direction. Previous studies have focused mainly on the dynamic capabilities of firms. However, the competence of the human resources that make up the enterprise leads to the capabilities of the enterprise, and the human resources themselves are also important corporate resources. This paper focuses on the dynamic capabilities of individuals and strives to clarify the causal relationship between dynamic capabilities, self-leadership, and organizational effectiveness which have direct or indirect effects on management outcome. The reasons for choosing the chemical industry are based on the fact that a domestic chemical companies are in a long-term recession, and they lacks a innovation and value creation capabilities. Also, chemical industry has a large impact on the national economy.

Most electric products produced during the manufacturing process are produced after design and mass production under a given control standard. In particular, the development phase should present the criteria for the production process by setting appropriate limits based on the performance being targeted. Even if the standard of performance is set considering the performance of the process, measuring the performance of the product after actual production results will cause nonconformities with the expected results.
Among the performance of electrical products, Energy standards represented by energy consumption efficiency continue to be of importance, and are mandatory standards that correspond to national standards in most countries. Therefore, statistical quality control of these standards shall basically have a large number of test equipment for each product, ensure sufficient test time and continuous sampling of product samples. In the end, companies that produce and sell electric appliances are striving to control mass production at a great cost, but this is not acceptable.
This study presents basic characteristics of the energy efficiency of electrical products and proposes and conducts a case study on statistical production control methods for performance variation across products under the standards about domestic and international regulations.

This paper introduces the method to develop two main types of the fuzzy OEE (Overall Equipment Effectiveness) models via triangular membership function for measuring uncertainty. The fuzzy OEE includes model type 1 and model type 2. The model type 1 is used when the theoretical machine speed only reflects the time loss whereas model type 2 is used when the actual machine speed reflects both time and speed loss. Model type 2 has shown to perform a lower availability rate and a higher performance rate compared to model type 1. In addition, the fuzzy UPH (Unit Per Hour) which is derived from using the fuzzy OEE is presented to satisfy demand uncertainty. The fuzzy UPH can easily measure the fuzzy tact time and cycle time by reciprocating itself.
Finally, this study demonstrates the fuzzy OEE models using IVIFS (Interval-Valued Intuitionistic Fuzzy Set) based on the characterization via membership function, non-membership function and hesitant function. For the purpose of analyzing the fuzzy system OEE, the OEE for each machine of plant structure is considered triangular interval-valued intuitionistic fuzzy number. Regardless of plant structure, the validity degree of fuzzy membership function of system OEE decreases when the number of machine with worst value of the validity degree increases. Corresponding examples are presented in this paper for practitioner to understand the applicability and practicability of the proposed fuzzy OEE methods.

The purpose of this study is to verify whether the technology grade, which is the result of technology appraisal by Technology Credit Bureau, can be extended and applied to the venture certification system. We confirmed that there was a significant difference in the average financial performance for three years after the certification and appraisal of the two groups after matching the venture certification enterprise group and the technology appraisal enterprise group in 2015 through the propensity score matching method. As a result, there was no significant difference in the financial performance of venture certified firms and technology appraisal firms, so we confirmed that the technology grade can be expanded and applied to the venture certification system. As a result of estimating the technology grade conforming to the venture certification system, it was concluded that technology outstanding firm(T1-T4) is a technology grade suitable for the venture certification system.

As global competition is intensifying, companies are entering not only developed markets but also emerging and developing countries. In emerging and developing countries, business-to-governmental relations are an essential factor influencing the firm performance. The purpose of this research is to examine the effects of corporate political activities on firm performance. Using the BEEPS data developed by the EBRD and the World Bank, the effect of various bribery activities regarded as corporate political activities on the firm performance was examined. Also, the moderating effect of competition type on the firm performance was proved. As the results, the bribery contribution, which is a corporate political activity, has a positive effect on the firm performance. Specifically, when infrastructure bribery occurred, costs and sales were higher, and when permission bribery was granted, profits, costs, and sales were higher. In addition, the effect of bribery as a corporate political activity on firm performance is moderated by competition type. These findings have academic and practical implications for empirical analyzing of SMEs' firm performance, guidelines suggestion for entry into the other countries, generalization possibility of using credible data, developing and designing export support systems and programs. Finally, limitations of the research and future research directions were discussed.

It is also difficult for SMEs to pursue their own innovation activities due to their limited resources and capabilities. There are various government support policies for small and medium enterprises to enhance the competitiveness of the nation by improving sustainability management based on productivity improvement of SMEs. The purpose of this study is to investigate the factors that are important for the external support by the government and the related organizations in the machinery industry participating in the industrial innovation movement and identify the appropriate measures within and outside the organization.
The results of this study are as follows: First, the higher the innovation commitment quality of the SMEs in the machinery industry, the more positive the non - financial performance. Second, the higher the quality of support from the headquarter, which has comprehensive responsibility for external support, the more positive the non - financial performance of participating companies. Third, it was concluded that the role quality of the consultant did not significantly affect the non - financial performance of participating companies in the machinery industry. Fourth, as the financial performance of the firm is better, the financial performance is also positively improved.

Human-machine serial systems must be normal in both systems. Though the failure of machine is irreducible by itself, the human errors are of recurring type. When the human performance is described quantitatively, non-homogeneous Poisson Process model of human errors can be developed. And the model parameters can be estimated by maximum likelihood estimation and numerical analysis method. System reliability is obtained by multiplying machine reliability by human reliability.