• The Journal of Korean Institute of Communications and Information Sciences
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• 제33권3B호
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• pp.159-164
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• 2008

For increasing productivity of domestic IT industry, government and local agencies have some plans to establish industrial clusters to provide local firms with testbed, R&D center, and cooperative research project. The most difficult problem in this process is to decide the location of them by resonable methodology. In this paper, the subject is to find what the factors to be considered in locating facilities and industrial clusters invested by government are and how to decide efficiently. First, we look over some cases of other countries, and then find assessment items for locating. Finally we analyze these items and assessment model by the analytic Hierachy Process(AHP) and make conclusion, As a conclusion, we find the result that there are some differences between the object of govenmental policy and needs of industry. 'The base infrastructure for telecommunications environment' is more important to be considered by the firms than 'The local benefit of the public'

• Korean Journal of Construction Engineering and Management
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• 제9권3호
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• pp.108-117
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• 2008

The appearance of the large distribution facility of large enterprise putting first reaches get to the various effect until change of leisure life and life pattern of the consumers from the distribution industry of the interior of a country. Competition of the distribution facility upgrade of the distribution facility and it shows the aspect which becomes the semi-department store, and construction cost is appearing different in proportion to each form or scale. Therefore, purpose of this study was to facilitate amicable construction progress between the owner and the builder through estimating the proper construction cost. This study investigated and analyzed the actual cost of 15 domestic distribution facilities and these datums were used to estimate the proper construction cost. This cost shows that from new project accomplishment through analysis of prediction construction cost for feasibility study from initial plan and design step and can be utilizable elementary data bH decision method to whether or not to propriety of distribution facilities business.

• International Area Studies Review
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• 제15권2호
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• pp.175-196
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• 2011

The developing countries have a lot of dormant resources, attempting the take-off of economic growth. The theory of 'vent for surplus' and Lewis model provide a good cornerstones to analyze the effect of export, FDI and domestic production on employment. This paper attempts to do empirical test to figure out what factor is significant as the determinant of Chinese employment. For this test, the estimation equations are derived from the Cobb-Douglas production function. The results are that the domestic production affects the most positive employment, compared to FDI and export. Unlikely general expectation, export doesn't have an substantial effect on employment in China. It is also found that the absorption of technology through export is lower than that of FDI in terms of the effect of technology on employment. So it is suggested that the employment policy should be shifted toward the increase of domestic production by using FDI rather than by promoting export industry. to reduce the internal imbalance.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2022년도 학술발표회
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• pp.119-119
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• 2022

인위적, 자연적 요인에 의한 물순환 왜곡과 물순환 건전성 저하는 이수, 치수, 환경 등 다양한 물 관리 분야의 문제를 일으키고 있다. 이에 건전한 유역 물순환 관리에 관한 사회적 요구가 증대되고 있다. 유역의 물순환 관리를 위해서는 유역 전반의 물 이동과 물 이용에 관한 정량적인 평가가 선행되어야 하고, 유역의 물순환 건전성을 평가할 수 있는 체계가 필요하다. 이 연구에서 물순환 정량화를 위해 자연계 및 인공계 물순환 요소를 반영한 유역 유출 모형을 구축하였고, 관측 자료와 모형을 통해 분석된 결과를 이용하여 물순환을 정량화하였다. 한편, 물순환 건전성 평가를 위해 물환경, 물이용, 물안전의 3가지 범주 내에 수질 관리, 비점오염 관리, 수생태 관리, 하천유지기능, 지하수 보전, 치수 관리, 이수 관리의 7가지 항목에 대한 건전성을 평가할 수 있는 평가지표와 기준을 제시하였다. 그리고 계층 분석적 의사결정 기법에 따른 가중치를 이용하여 7개의 평가항목을 종합한 물순환 건전성 지수(hydrologic soundness index; HSI)를 도입하였다. 구성된 물순환 정량화 및 건전성 평가체계를 경안천과 남강, 미호천, 황룡강 중권역에 적용하여 중권역별로 필요한 물순환 개선 사업과 투자 우선순위가 높은 표준유역을 식별하였다. 이 연구에서 제시한 물순환 정량화 및 건전성 평가체계는 유역의 다양한 물 문제를 객관적으로 진단하는 한 가지 방편으로서, 유역의 물 문제 해결을 위한 기술적 정보 제공에 이바지할 수 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• 제16권4호
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• pp.115-133
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• 2021

This study examines the concept and related technologies of the 4th industrial revolution that has been mixed so far and examines the socio-economic changes and influences resulting from it, and the cases of responding to the 4th industrial revolution in major countries. Based on this, by deriving SWOT factors and calculating the importance of each factor for Korean venture companies to prepare for the forth industrial revolution, it was intended to help the government and policymakers in suggesting directions for establishing related policies. Furthermore, the purpose of this study was to suggest a direction for securing global competitiveness to Korean venture entrepreneurs and to help with basic and systematic analysis for further academic in-depth research. For this study, a total of 21 items derived through extensive literature research and data research to understand what are the necessary competency factors for internal and external environmental changes in order for Korean venture companies to have global competitiveness in the era of the 4th Industrial Revolution. After reviewing SWOT factors by three expert groups and confirming them through Delphi survey, the importance of each item was analyzed by using AHP, a systematic decision-making technique. As a result of the analysis, it was shown that Strength(48%), Opportunity(25%), Threat(16%), Weakness(11%) were considered important in order. In terms of sub-items, 'quick and flexible commercialization capability', 'platform/big data/non-face-to-face service activation', and 'ICT infrastructure and it's utilization' were shown to be of the comparatively high importance. On the other hand, in the lower three items, 'macro-economic stability and social infrastructure', 'difficulty in entering overseas markets due to global protectionism', and 'absolutely inferior in foreign investment' were found to have low priority. As a result of the correlation verification by item to see differences in opinions by industry, academia, and policy expert groups, there was no significant difference of opinion, as industry and academic experts showed a high correlation and industry experts and policy experts showed a moderate correlation. The correlation between the academic and policy experts was not statistically significant (p<0.01), so it was analyzed that there was a difference of opinion on importance. This was due to the fact that policy experts highly valued 'quick and flexible commercialization', which are strengths, and 'excellent educational system and high-quality manpower' and 'creation of new markets' which are opportunity items, while academic experts placed great importance on 'support part of government policy', which are strengths. The implication of this study is that in order for Korean venture companies to secure competitiveness in the field of the 4th industrial revolution, it is necessary to have a policy that preferentially supports the relevant items of strengths and opportunity factors. The difference in the details of strength factors and opportunity factors, which shows a high level of variability, suggests that it is necessary to actively review it and reflect it in the policy.

• Journal of Distribution Research
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• 제16권4호
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• pp.65-93
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• 2011

As relationship between buyer and seller has been brought closer and long-term relationship has been more important in B2B markets, the importance of service and service convenience increases as well as product. In homogeneous markets, where service offerings are similar and therefore not key competitive differentiator, providing greater convenience may enable a competitive advantage. Service convenience, as conceptualized by Berry et al. (2002), is defined as the consumers' time and effort perceptions related to buying or using a service. For this reason, B2B customers are interested in how fast the service is provided and how much save non-monetary cost like time or effort by the service convenience along with service quality. Therefore, this study attempts to investigate the impact of service convenience on relationship factors such as relationship satisfaction, relationship commitment, and relationship performance. The purpose of this study is to find out whether service convenience can be a new antecedent of relationship quality and relationship performance. In addition, this study tries to examine how five-dimensional service convenience constructs (decision convenience, access convenience, transaction convenience, benefit convenience, post-benefit convenience) affect customers' relationship satisfaction, relationship commitment, and relationship performance. The service convenience comprises five fundamental components - decision convenience (the perceived time and effort costs associated with service purchase or use decisions), access convenience(the perceived time and effort costs associated with initiating service delivery), transaction convenience(the perceived time and effort costs associated with finalizing the transaction), benefit convenience(the perceived time and effort costs associated with experiencing the core benefits of the offering) and post-benefit convenience (the perceived time and effort costs associated with reestablishing subsequent contact with the firm). Earlier studies of perceived service convenience in the industrial market are none. The conventional studies that have dealt with service convenience have usually been made in the consumer market, or they have dealt with convenience aspects in the service process. This service convenience measure for consumer market can be useful tool to estimate service quality in B2B market. The conceptualization developed by Berry et al. (2002) reflects a multistage, experiential consumption process in which evaluations of convenience vary at each stage. For this reason, the service convenience measure is good for B2B service environment which has complex processes and various types. Especially when categorizing B2B service as sequential stage of service delivery like Kumar and Kumar (2004), the Berry's service convenience measure which reflect sequential flow of service deliveries suitable to establish B2B service convenience. For this study, data were gathered from respondents who often buy business service and analyzed by structural equation modeling. The sample size in the present study is 119. Composite reliability values and average variance extracted values were examined for each variable to have reliability. We determine whether the measurement model supports the convergent validity by CFA, and discriminant validity was assessed by examining the correlation matrix of the constructs. For each pair of constructs, the square root of the average variance extracted exceeded their correlations, thus supporting the discriminant validity of the constructs. Hypotheses were tested using the Smart PLS 2.0 and we calculated the PLS path values and followed with a bootstrap re-sampling method to test the hypotheses. Among the five dimensional service convenience constructs, four constructs (decision convenience, transaction convenience, benefit convenience, post-benefit convenience) affected customers' positive relationship satisfaction, relationship commitment, and relationship performance. This result means that service convenience is important cue to improve relationship between buyer and seller. One of the five service convenience dimensions, access convenience, does not affect relationship quality and performance, which implies that the dimension of service convenience is not important factor of cumulative satisfaction. The Cumulative satisfaction can be distinguished from transaction-specific customer satisfaction, which is an immediate post-purchase evaluative judgment or an affective reaction to the most recent transactional experience with the firm. Because access convenience minimizes the physical effort associated with initiating an exchange, the effect on relationship satisfaction similar to cumulative satisfaction may be relatively low in terms of importance than transaction-specific customer satisfaction. Also, B2B firms focus on service quality, price, benefit, follow-up service and so on than convenience of time or place in service because it is relatively difficult to change existing transaction partners in B2B market compared to consumer market. In addition, this study using partial least squares methods reveals that customers' satisfaction and commitment toward relationship has mediating role between the service convenience and relationship performance. The result shows that management and investment to improve service convenience make customers' positive relationship satisfaction, and then the positive relationship satisfaction can enhance the relationship commitment and relationship performance. And to conclude, service convenience management is an important part of successful relationship performance management, and the service convenience is an important antecedent of relationship between buyer and seller such as the relationship commitment and relationship performance. Therefore, it has more important to improve relationship performance that service providers enhance service convenience although competitive service development or service quality improvement is important. Given the pressure to provide increased convenience, it is not surprising that organizations have made significant investments in enhancing the convenience aspect of their product and service offering.

• Journal of Intelligence and Information Systems
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• 제22권4호
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• pp.69-85
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• 2016

Successful relationship with loving partners is one of the most important factors in life. In psychology, there have been some previous researches studying the factors influencing romantic relationships. However, most of these researches were performed based on statistical analysis; thus they have limitations in analyzing complex non-linear relationships or rules based reasoning. This research analyzes commitment and persistence in heterosexual involvement according to styles of loving using a datamining technique as well as statistical methods. In this research, we consider six different styles of loving - 'eros', 'ludus', 'stroge', 'pragma', 'mania' and 'agape' which influence romantic relationships between lovers, besides the factors suggested by the previous researches. These six types of love are defined by Lee (1977) as follows: 'eros' is romantic, passionate love; 'ludus' is a game-playing or uncommitted love; 'storge' is a slow developing, friendship-based love; 'pragma' is a pragmatic, practical, mutually beneficial relationship; 'mania' is an obsessive or possessive love and, lastly, 'agape' is a gentle, caring, giving type of love, brotherly love, not concerned with the self. In order to do this research, data from 105 heterosexual couples were collected. Using the data, a linear regression method was first performed to find out the important factors associated with a commitment to partners. The result shows that 'satisfaction', 'eros' and 'agape' are significant factors associated with the commitment level for both male and female. Interestingly, in male cases, 'agape' has a greater effect on commitment than 'eros'. On the other hand, in female cases, 'eros' is a more significant factor than 'agape' to commitment. In addition to that, 'investment' of the male is also crucial factor for male commitment. Next, decision tree analysis was performed to find out the characteristics of high commitment couples and low commitment couples. In order to build decision tree models in this experiment, 'decision tree' operator in the datamining tool, Rapid Miner was used. The experimental result shows that males having a high satisfaction level in relationship show a high commitment level. However, even though a male may not have a high satisfaction level, if he has made a lot of financial or mental investment in relationship, and his partner shows him a certain amount of 'agape', then he also shows a high commitment level to the female. In the case of female, a women having a high 'eros' and 'satisfaction' level shows a high commitment level. Otherwise, even though a female may not have a high satisfaction level, if her partner shows a certain amount of 'mania' then the female also shows a high commitment level. Finally, this research built a prediction model to establish whether the relationship will persist or break up using a decision tree. The result shows that the most important factor influencing to the break up is a 'narcissistic tendency' of the male. In addition to that, 'satisfaction', 'investment' and 'mania' of both male and female also affect a break up. Interestingly, while the 'mania' level of a male works positively to maintain the relationship, that of a female has a negative influence. The contribution of this research is adopting a new technique of analysis using a datamining method for psychology. In addition, the results of this research can provide useful advice to couples for building a harmonious relationship with each other. This research has several limitations. First, the experimental data was sampled based on oversampling technique to balance the size of each classes. Thus, it has a limitation of evaluating performances of the predictive models objectively. Second, the result data, whether the relationship persists of not, was collected relatively in short periods - 6 months after the initial data collection. Lastly, most of the respondents of the survey is in their 20's. In order to get more general results, we would like to extend this research to general populations.

• Journal of Intelligence and Information Systems
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• 제23권2호
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• pp.107-122
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• 2017

Volatility in the stock market returns is a measure of investment risk. It plays a central role in portfolio optimization, asset pricing and risk management as well as most theoretical financial models. Engle(1982) presented a pioneering paper on the stock market volatility that explains the time-variant characteristics embedded in the stock market return volatility. His model, Autoregressive Conditional Heteroscedasticity (ARCH), was generalized by Bollerslev(1986) as GARCH models. Empirical studies have shown that GARCH models describes well the fat-tailed return distributions and volatility clustering phenomenon appearing in stock prices. The parameters of the GARCH models are generally estimated by the maximum likelihood estimation (MLE) based on the standard normal density. But, since 1987 Black Monday, the stock market prices have become very complex and shown a lot of noisy terms. Recent studies start to apply artificial intelligent approach in estimating the GARCH parameters as a substitute for the MLE. The paper presents SVR-based GARCH process and compares with MLE-based GARCH process to estimate the parameters of GARCH models which are known to well forecast stock market volatility. Kernel functions used in SVR estimation process are linear, polynomial and radial. We analyzed the suggested models with KOSPI 200 Index. This index is constituted by 200 blue chip stocks listed in the Korea Exchange. We sampled KOSPI 200 daily closing values from 2010 to 2015. Sample observations are 1487 days. We used 1187 days to train the suggested GARCH models and the remaining 300 days were used as testing data. First, symmetric and asymmetric GARCH models are estimated by MLE. We forecasted KOSPI 200 Index return volatility and the statistical metric MSE shows better results for the asymmetric GARCH models such as E-GARCH or GJR-GARCH. This is consistent with the documented non-normal return distribution characteristics with fat-tail and leptokurtosis. Compared with MLE estimation process, SVR-based GARCH models outperform the MLE methodology in KOSPI 200 Index return volatility forecasting. Polynomial kernel function shows exceptionally lower forecasting accuracy. We suggested Intelligent Volatility Trading System (IVTS) that utilizes the forecasted volatility results. IVTS entry rules are as follows. If forecasted tomorrow volatility will increase then buy volatility today. If forecasted tomorrow volatility will decrease then sell volatility today. If forecasted volatility direction does not change we hold the existing buy or sell positions. IVTS is assumed to buy and sell historical volatility values. This is somewhat unreal because we cannot trade historical volatility values themselves. But our simulation results are meaningful since the Korea Exchange introduced volatility futures contract that traders can trade since November 2014. The trading systems with SVR-based GARCH models show higher returns than MLE-based GARCH in the testing period. And trading profitable percentages of MLE-based GARCH IVTS models range from 47.5% to 50.0%, trading profitable percentages of SVR-based GARCH IVTS models range from 51.8% to 59.7%. MLE-based symmetric S-GARCH shows +150.2% return and SVR-based symmetric S-GARCH shows +526.4% return. MLE-based asymmetric E-GARCH shows -72% return and SVR-based asymmetric E-GARCH shows +245.6% return. MLE-based asymmetric GJR-GARCH shows -98.7% return and SVR-based asymmetric GJR-GARCH shows +126.3% return. Linear kernel function shows higher trading returns than radial kernel function. Best performance of SVR-based IVTS is +526.4% and that of MLE-based IVTS is +150.2%. SVR-based GARCH IVTS shows higher trading frequency. This study has some limitations. Our models are solely based on SVR. Other artificial intelligence models are needed to search for better performance. We do not consider costs incurred in the trading process including brokerage commissions and slippage costs. IVTS trading performance is unreal since we use historical volatility values as trading objects. The exact forecasting of stock market volatility is essential in the real trading as well as asset pricing models. Further studies on other machine learning-based GARCH models can give better information for the stock market investors.

• Journal of Service Research and Studies
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• 제6권2호
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• pp.23-35
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• 2016

Firms should seek greater profits and corporate growth through new businesses. New businesses contribute realizing creative economy that creates good jobs, and expanding the company by securing new markets and creating new profits and growth. However, new business is risky management decision-making to have a high failure rate because it involves the adaptation of new business environment and the burden of new investments, including the uncertainty of success in business. Therefore, innovation strategies play important roles for the new business entry, using product innovation, process innovation, business model innovation, disruptive innovation, and strategic innovation, etc. and company will get huge economic results by pushing them into successful business. It is essential that innovation strategy and IT development strategy along with business strategy of a firm are linked, and their strategic alignment is considered to be a critical success factor for new business success. Hyundai Heavy Industries(HHI) pursued marine engine business for the development of precision machinery industry and shipbuilding industry of Korea, and the company recognized the importance of new business strategy, innovation strategy, and IT strategy inter-linked, and pushed strategic alignment boldly. As a result, HHI won the competition in European and Japanese engine manufacturers and climbed into the world's largest engine manufacturer. This study suggests investigating and analyzing a case that HHI succeeded in marine engine business expansion using strategic innovation strategy as a way of the introduction of CNC machine tools and the development of HEMAPT system.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2010년도 춘계학술대회 초록집
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• pp.151.2-151.2
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• 2010

우리나라는 "제 3차 신재생에너지 기술개발 및 이용 보급 기본계획"을 통해 2030년까지 111.5조 원을 투자하여 전체 에너지의 11%를 신재생에너지로 공급한다는 목표를 설정하였다. 그러나 신재생에너지는 기존의 원자력이나 화석에너지에 비하여 생산비용이 높아 보조나 융자 등의 정부지원에 의존하여 보급이 이루어져왔다. 신재생에너지 보급확대 및 산업발전을 위한 보급정책의 일환으로 정부는 2012년부터 RPS(Renewable Portfolio Standard, 신재생에너지 공급의 무화제도)를 도입키로 확정하였다. RPS의 도입은 일정규모 신재생에너지 시장수요를 창출함과 동시에 신재생에너지원간 가격경쟁 구도 형성의 유인이 될 수 있다. 이는 전력가격 일괄상승 및 녹색가격제도(Green Pricing) 등의 정책적 논의로 이어질 수 있다. 따라서 소비자 측면에서 신재생에너지 전력의 가치를 어떻게 평가하는지를 분석하여 RPS 시행제반의 정책적 논의의 기초자료를 마련할 필요가 있다. 특히 RPS는 신재생에너지원 간의 경쟁을 가능하게 하므로 개별 신재생에너지원에 따라 소비자 선호의 차이가 어떻게 나타나는지 연구되어야 한다. 이에 본 연구는 환경재 혹은 비시장재화의 가치추정에 가장 널리 활용되고 있는 조건부가치평가법(Contingent Valuation Method; CVM)을 적용하여 풍력, 태양광, 수력으로 생산한 전력에 대한 소비자의 지불의사액(Willingness to Pay; WTP)을 분석하는 모형을 수립하였다. 이를 위해 Zografakis et al.(2010), Yoo and Kwak(2009), 이창훈 황석준(2009), Nomura and Akai(2004), Bately et al.(2001) 등의 선행연구를 참조하여 신재생에너지 전력 가치의 설문에서 고려되어야 하는 요인들을 선정하였다. 이를 토대로 설문 시나리오를 작성하여 각 요인들이 신재생에너지 전력에 대한 지불의사액 결정에 어떠한 영향을 미치는지 분석가능한 모형을 설정하였다. 뿐만 아니라 기존 연구들이 신재생에너지로 생산된 일반적인 전력에 대한 지불의사액을 질문하는데 그쳤다면, 본 연구에서는 각 원별로 지불의사액의 차이를 도출할 수 있는 설문모형을 구축하는데 중점을 두었다. 본 연구결과는 향후 설문수행을 통하여 신재생에너지원별로 소비자의 선호를 분석할 수 있는 연구로 발전될 수 있으며, 이는 RPS 도입으로 인한 전력가격 정책 수립의 기초 연구자료로 활용될 수 있다 하겠다.