• Journal of Korean Society of Environmental Engineers
• /
• v.28 no.1
• /
• pp.74-80
• /
• 2006

Benefit transfer is a method, which obtains an estimate for the economic valuation of non-marketed commodities at a given site through the analysis of studies that have been previously carried out to value similar commodities at a different location. The objective of this study was to estimate benefit transfer values for the construction of the integrated sewerage system in the catchment area of dams in Korea. For pooled data analysis, five models were suggested in this study. Among five models, model 2 showed only 6 to 7% errors when the willingness-to-pay(WTP) predicted in the policy-site, Dam Soyang was compared with that estimated using contingent valuation method(CVM) in the study-sites, Dams Namgang, Hapcheon, and Daecheong. However, the WTP estimate predicted by model 1 showed the absolute errors of 42 to 47% when it was compared with WTP estimated using CVM in Dams Andong and Imha. It seemed that residents of Dams Andong and Imha have feeling of being victimized since two dams were constructed very adjacently, the upstream area was designated as drinking water source protection zone, and thereafter their developmental economical actions have been significantly restricted.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.230-239
• /
• 2020

The purpose of this study was to examine how a leader's organizational citizenship behavior (OCB) affects subordinates' interpersonal citizenship behavior (ICB) and job stress levels. A leader's OCB involves taking-charge behavior, loyal boosterism, and the industry. We hypothesized that leader-member exchange (LMX) would mediate the relationship between leader's OCB and subordinates' ICB and job stress level. We tested the model using a sample of 293 employees from different organizations from September 2019 until November 2019. We conducted confirmatory factor analyses of the variables and analyzed the data by using structural equation modeling. We also conducted a CFA to assess the fit of a three-factor model for the leader's OCB items. Empirical findings show that LMX fully mediated the effect of leader's OCB on employees' ICB and job stress level. Leader's OCB had a positive effect on LMX. Moreover, LMX had a positive effect on employees' ICB but had a negative effect on job stress. We found support for our hypotheses that leader's OCB is positively related to ICB but negatively related to job stress, and this relationship is mediated by LMX. We discuss limitations, implications for practice, and future research.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.6
• /
• pp.39-50
• /
• 2019

Purpose - Since the local liquor industry uses the agricultural products produced in the region as the main raw material, cultivation of the industry can be a way to expand the demand for domestic agricultural products and can contribute to the income increase of the farmers. In addition, the local liquor industry can be developed into a region-specific industry differentiated from other regions by linking with the region's tourism resources. Therefore, in order to achieve various derivative effects through promotion of the local liquor industry, it is necessary to precisely understand the factors related to the purchase and consumption of local liquor which then will lead to an increase in consumption. This study analyzes the current status and problems of local liquor industries and examines the determinants of consumers' purchasing decisions of regional specialties through questionnaires. We will then propose a strategy to promote consumption of locally produced alcoholic beverages. Research design, data, and methodology - An online Domestic Consumer Survey was conducted to identify the actual purchases and uses of local liquors for 500 consumers nationwide. Based on the questionnaire results, the analysis uses an ordered probit model. Results - As a result of analyzing the effect of consumer characteristics on the purchase of local liquors, it was found that the average cost of drinking, income, local specialty, brewery experience, and health concerns have a significant effect on gender, drinking frequency. All the variables except the participation in the training of the special provincial manufacturing method were found to be statistically significant. The statistical significance was at a 1% significance level for the remaining factors excluding the bottle design. This shows that the higher taste, quality, price, and harmony with food, the higher the probability of purchasing local liquors. Conclusions - In the analysis of factors influencing the purchase intention of local liquors, it was found that factors such as taste, quality, price, and harmony with food had a significant effect. Given the diversity of purchasing factors, the importance of diversification strategies is emphasized again. In particular, it will be important to secure wide publicity for local liquors through various PR strategies.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.5
• /
• pp.63-72
• /
• 2018

Purpose - This work analyzes, in detail, the specification of vector error correction model (VECM) and thus examines the relationships and impact among seven economic variables for USA - balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), a measure of the money supply that includes total currency as well as large time deposits, institutional money market funds, short-term repurchase agreements and other larger liquid assets (M3), real rate of interest (IR_REAL) and household credits (LOAN). In particular, we search for the main explanatory variables that have an effect on stock and real estate market, respectively and investigate the causal and dynamic associations between them. Research design, data, and methodology - We perform the time series vector error correction model to infer the dynamic relationships among seven variables above. This work employs the conventional augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root techniques to test for stationarity among seven variables under consideration, and Johansen cointegration test to specify the order or the number of cointegration relationship. Granger causality test is exploited to inspect for causal relationship and, at the same time, impulse response function and variance decomposition analysis are checked for both short-run and long-run association among the seven variables by EViews 9.0. The underlying model was analyzed by using 108 realizations from Q1 1990 to Q4 2016 for USA. Results - The results show that all the seven variables for USA have one unit root and they are cointegrated with at most five and three cointegrating equation for USA. The vector error correction model expresses a long-run relationship among variables. Both IR_REAL and M3 may influence real estate market, and GDP does stock market in USA. On the other hand, GDP, IR_REAL, M3, STOCK and LOAN may be considered as causal factors to affect real estate market. Conclusions - The findings indicate that both stock market and real estate market can be modelled as vector error correction specification for USA. In addition, we can detect causal relationships among variables and compare dynamic differences between countries in terms of stock market and real estate market.

• The Journal of Industrial Distribution & Business
• /
• v.9 no.5
• /
• pp.83-91
• /
• 2018

Purpose - The purpose of this study is to explore the introduction and activation of smart training for the effective training of vocational ability development of companies in the 4th industrial revolution era, we analyze the present status of smart training introduction and related difficulties and propose concrete activation plan. Research design, data, and methodology - Through the online survey, we tried to confirm the recognition of corporate about smart training. Questionnaires include what are the benefits, expectations, and difficulties of smart training, etc. The survey was conducted from August 21, 2017 to September 4, 2017. A total of 69 companies participated in the questionnaire. The questionnaire results were analyzed through frequency analysis and contents analysis. Based on the results of the questionnaire, we found out the cause of inhibition of smart training activation and suggested activation strategies. Results - The main reason for the provision of smart training is the expectation of the training performance and the recognition that it is possible to provide training in a flexible manner. The effectiveness of smart training operation was evaluated as a high level of contribution to the development of creative training course and the capacity of training institute. As a result of checking factors that hinders the activation of smart training, the most important reason is that the time and cost burden of the training institutes is excessive. The lack of expertise in the design of smart training courses and the burden of employers and trainees. Conclusions - In order to activate smart training, it is necessary to find solutions to the obstacles at the internal or external level of training institutions. The internal barriers to the training organization are lack of internal competence for preparation and course management. In this regard, we need to consider providing consulting, best practices or guidance in the process of designing and operating smart training. On the other hand, as an external obstacle factor, it is necessary to provide incentives to participate in smart training. In addition, further research is needed on strategies that can lead to participation in smart training from the viewpoint of employers and learners.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.125-140
• /
• 2018

As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.

• Journal of Service Research and Studies
• /
• v.4 no.2
• /
• pp.1-10
• /
• 2014

According to recent trends in technological advances and globalization, medical device industry may improve the constitution to meet worldwide medical equipment management system. Also it is holding a strand of mitigation to reach the level of international regulation. In addition, recent legislation tends are to stay limited ranges of industry regulations at least and take as open attitude for integration of new technologies combined medical devices. A greater environmental risk is not likely to work in medical technology, Combinded medical device is used as close to zero risk in most of the human body, which is classified as Class 1. Even medical device such as little or no risk in handling, it is possible to minimize the unnecessary administrative power and a waste of time to occur. For the medical device may be improving people's choices and access, medical equipment operator is expanding to include dealers, because this will be exalted to particular area of the business of the company. In this paper, we investigate the legal prerequisites for the establishment of a medical device. And propose improved regulations in topics in order to facilitate the repair and distribution markets for fair trade.

• Journal of Cadastre & Land InformatiX
• /
• v.48 no.1
• /
• pp.123-138
• /
• 2018

To sustainably monitor air pollution in Seoul, the number of Air Pollution Monitoring Station has been gradually increased by Korea's Ministry of Environment. Although particulate matters(PM), one of the pollutants measured at the stations, have an significant influence on human body, the concentration of PM in Korea came in second among 35 OECD member countries. In this study, using the data of PM concentration from the stations, distribution maps of PM10 and PM2.5 concentrations over Seoul were generated, and spatial factors potentially related to PM distribution were investigated. Based on a circumscribed hexagon about a circle in radius of 500 meters created as a basic unit, Seoul was sectionalized and PM concentration map was generated using the interpolation technique of 'inverse distance weighting'. The distributions of PM concentrations were investigated with commuting time by administrative district and the outcome was related with land-use type and volume of traffic. Results from this analysis indicated distribution pattern of PM10 concentration was different from that of PM2.5 by administrative district and time. The distribution of PM concentration was strongly related to not only the size of business and trafficked areas among the land-use type, but also the existence of urban green. Further analysis of the relationship between the PM concentration and detailed land-use and urban green maps can be helpful to identify spatial factors which have an impact on the PM concentration on the regional scale.

• Journal of Global Scholars of Marketing Science
• /
• v.17 no.1
• /
• pp.51-75
• /
• 2007

Dongdaemun fashion market has been successfully positioned as a main hub for non-brand fashion product distribution in Korea. One of important competitive advantages of Dongdaemun market often quoted by retail researchers is an efficiently managed network system among supply chain members. This study aimed to examine the importance of buyer-supplier relationship elements and supplier properties from buyers' perspectives (small & very small-sized fashion stores in Dongdaemun market), and to identify the determinants of the relationship length between suppliers and buyers. Survey responses of 233 stores were analyzed using EQS 6.1 for Window and SPSSWIN 10.0. The findings could be summarized as follows: First, fashion stores perceived that right delivery as the most important factor, and geographically closeness, design capability, quality, and lower price followed in order. Second, the characteristics of stores such as location, wholesaling versus retailing focusing, monthly sales, and total business length all affected the perceived importance of buyer-supplier relationship. Third, design capacity, communication, power was identified as determinants of actual relationship length with a supplier, while communication and trust were found to be determinants of future expected relationship length.

• Management & Information Systems Review
• /
• v.37 no.1
• /
• pp.55-74
• /
• 2018

China joined the WTO in 2001, and the Chinese market are growing at a rapid pace in the M&A Market. This Research is an Empirical analysis of China's leadership that subdivides leadership style and is an study on the effects of globalization on leadership and job satisfaction in the globalization as moderation variable. The significance of this study is to Refer to the direction of Chinese investments. This paper places emphasis on the change in Chinese organizational culture as a result of globalization and explores the influence of leadership on job satisfaction and turnover intention by using data from MBA students data of Wuhan City, 178 observations. And all of the data were analyzed using both the multiple regression analysis and the moderated regression analysis as well. Results of the empirical test are suggested as follow. First, transactional, transformational and servant leadership have a positive influence on job satisfaction. But it can't find the significant relationship between leadership and turnover intention. Second, there has a significant result that globalization on leadership is partially via the influence of job satisfaction. The result of the moderated regression analysis through the globalization as moderation variable is that globalization strengthens a positive influence on between transformational, emotional leadership and job satisfaction. On the other hand, In the case of this hypothesis that globalization will have mediating effect in the pathway between leadership and turnover intention, I expect that globalization strengthens a negative influence on turnover intention as dependent variable. But The result of the moderated regression analysis through the globalization as moderation variable is that globalization strengthens a positive influence on transactional, transformational, emotional and servant leadership.