• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.150-159
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• 2013

The government has focused on activation of overseas construction projects and strengthening competitiveness in the long term. In recent years Public construction contract as well as design, engineering, construction management(CM) are gradually expanding into other countries, but risk analysis cases in the field are slight. In this study, We utilized PI scale and drew a conclusion about the importance of overseas risk by participants. We compared its features from the risk factor based on Risk Matrix. As a result of this study total of 6 section 31 Country Risk factors for the importance of overseas risk by participants were drawn, and the key risk factors (17 constructor, 14 designers, 17 CMr) based on Risk Matrix were derived. By utilizing the result of this study will be used as the basic data for establishing risk management strategy to meet each business and planning evaluation model.

• Journal of the Society of Disaster Information
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• v.9 no.2
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• pp.195-205
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• 2013

Construction Management means a comprehensive plan of given the resources and the operation of the elements to complete the construction within the construction period. The construction period of these shall be determined by calculation based on reliable initial business. However, in actual field, inaccurate task duration is determined to the intuitive judgments of representative, reference of a similar project construction period of the past. As previous studies for the improvement of existing methods, This study presented a standard model that can be utilized in the early stages of construction projects for the TBM method operating by diameter (2.6m, 3.0m, 3.5m, 5.0m, 8.0m), and This study presented and calculated construction period which can estimated quickly the entire outline the construction period Therefore, When performing TBM construction work in the future, the total construction period which presented and analyze by TBM diameter, can be used as a useful material which plan and manage construction contracts, construction estimating, construction planning to the basic planning stage, and the basic design stage.

• Journal of the Korean Society of Costume
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• v.64 no.2
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• pp.35-49
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• 2014

In cases of fashion businesses operating by consignment, base estimate on quantity of sales is the most essential part of merchandising. This study classified factors influential to sales into factors with systematic influence and factors with unsystematic influence. In order to find out influence of each factor on sales, non-linear regression was used with SPSS package on the basis of actual data on sales for 5 years for sport shoes brand. Major findings of this study are as follows. First, price level had significant negative(-) influence on sales. Second, price expectation effects had significant negative(-) influence on sales. Third, competitor's price effect showed significant negative(-) value. Fourth, day-of-the-week effect showed significant positive(+) effect. The theoretical marketing implications of this study are as follows. First, study on price leads to expansion of the researches from apparels to sport shoes. Field of study on price was enlarged through expansion of variable of study from price level and price expectation effect to promotion, day-of-the-week effect and rainfall effect. Second, quantitative scale of day-of-the-week effect was found and it could be confirmed that there was seasonal differences with day-of-the-week effect. Implications of above findings on marketing managers are as follows. First, it was found that an increase in competitiveness of brand power and a decline in absolute value of competitor's price effect can be realized when new product groups are developed to meet the unsatisfied needs in the market. Second, it was possible to find out the parameters scales of the price response function, making it possible to estimate sales for the next season, and in turn realize increase in rate of sales and profit rate. This research is based on the dynamic price response function, which is rare to find in the apparel business and it academic significance due to its expanding response model which was focused on price in conventional researches to non-systematic variables.

• Information Systems Review
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• v.14 no.1
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• pp.37-65
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• 2012

This research aims to design and analyze a ubiquitous customer relationship management system based on near field communication which can be applied to stores in off-line environment. The existing customer relationship management system has been used mainly for stores in off-line environment to issue a royalty card, to stamp a seal on the purchase goods, and to manage the history of customers' visits and purchases. But, the existing system has two weaknesses; it makes difficult for a store manger not only to acquire a wealth of customer data but also to systematically manage the acquired data. In particular, the effectiveness and efficiency of the royalty card are questioned when a customer makes purchases in the store in that the customer frequently does not carry it or loses it. So, this research suggests a ubiquitous customer relationship management system where a tag for near field communications is attached to a store in off-line environment; a store manager can collect and manage easily customer's dada and customers can seamlessly acquire store's information. To do this, this research conducts the followings. First, we review the previous researches of customer relationship management to examine the concept of ubiquitous customer relationship management. Second, from the examination, we draw the factors to be considered in ubiquitous customer relationship management system based on near field communication. Third, we propose a scenario where the suggested system is used. Fourth, we analyze the participants' values and the process that will be used for the suggested system. Finally, we discuss the possibility of the application of this system to real business environment from various viewpoints.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.329-342
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• 2021

Purpose - The purpose of this study is to analyze the effect of investment by the National Pension Service, which has a high share as a single fund, on the dividend payout ratio. Design/methodology/approach - This study secured a share through DART of the Financial Supervisory Service and disclosure of the National Pension Service. We also used a fixed-effects model and 2SLS to analyze the data. Findings - First, it was found that there was a possibility of conflicting interests among shareholders concerning the company's dividend payment policy. Second, in the range of 3% to 4.9% of the National Pension Service shareholding, an additional increase in the holding ratio was found to have a positive (+) effect on the dividend rate. Third, after the introduction of the Stewardship Code, it was found that the increase in ownership of the fund had a positive (+) effect on the company's dividend payout ratio, regardless of the share ratio range. Moreover, the relationship between the fund ownership and the dividend payout ratio showed a clear positive relationship when free cash flow was high along investment opportunities were low. Research implications or Originality - First, This study included less than 5% of the share in the analysis. Second, We used the recent changes in fund shareholder activities. Third, We tested an instrumental variable to confirm the relationship between the National Pension Service share and the dividend ratio.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.367-383
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• 2024

Purpose - This study theoretically analyzes how the level of political protection (tariff rate) is determined by political processes with conflicting interests and how it changes according to changes in global prices. Design/methodology/approach - For the purpose of the paper, against the backdrop of the apple market, which has recently become a major issue in our society due to the soaring price, we construct a mathematical model that assumes two pressure groups claiming pro-tariff and anti-tariff on the import of apples. Unlike data-based empirical studies, theoretical study has the advantage of generalization to expand related discussions and can derive policy implications from a new perspective. Findings - The analysis shows us that the equilibrium political tariff could rise or fall depending on the degree of risk aversion of the lobbyists. However, what has been clearly shown in our analysis is that domestic apple prices will fluctuate in the same direction as global prices. In other words, it is clear that even though there is a lobby for protection trade, when global prices fall, domestic prices also fall. This fact implies that apple-producing farms can decline even if tariffs on apples increase. Research implications or Originality - As long as the equilibrium political tariff rates are determined through competitive lobbying by interest groups, productive resource use is wasted from the perspective of society as a whole. Due to this waste, it can be inferred that the tariff rate determined endogenously by lobbying activities can lead to loss of welfare compared to the case of the tariff rate level, which is highly determined by the government's unilateral decision.

• Journal of Distribution Science
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• v.14 no.2
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• pp.93-101
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• 2016

Purpose - This study aims to advance our knowledge about factors influencing technical startup performance through analysing technical startup process empirically. This study was conducted to focus on industry structure(industry growth rate, competitive intensity, and enter barriers), technology characteristics(technical excellence and wide range of technical application), and the performance in the technology-based start-ups. Specifically, analyzing moderating effect of technology-marketing strategy, this studied how moderating variables affect technical startup performance under industry structure. Research design, data, and methodology - The subject of this study was technology-based start-ups company that received technology transfer from public organization. The development of the paper model is based on the literature of the preceding research analysis in technology commercialization, performance of technology-based start-ups, and marketing strategy. This study has a construct that was defined in the previous studies, such that technology marketing strategy was defined into the two ways of being broad or narrow in strategic application. From November 3. 2015 to December 22, 220 questionnaires were distributed with targeting to start-up companies in technology-based. 188 responses were collected for empirical analysis except the missing and wrong value responses. This data were used for structural equation modeling and regression analysis. Results - The results of this study are as follows. First, as industry structure variables influencing on performance(technical, financial) of technology-based start-ups, industry growth rate, competitive intensity and enter barriers of variables were verified; high growth rate has more positive effect on performance than low growth rate, competitive low intensity has more positive effect on performance than competitive high intensity, low enter barriers have more positive effect on performance than high enter barriers. Second, as technology characteristics variables influences on the performance(technical, financial) of technology-based start-ups, technical excellence and wide range of technical application of variables were verified ; technical high-excellence has more positive effect on performance than technology low-excellence, wide range of technical application has more positive effect on performance than narrow range of technical application. We also find that technology marketing strategy(broad/narrow) in moderating factors on performance (technical, financial) is as follows. Analyzing the moderating effect depending on technology marketing strategy(broad/narrow), application of technology, and the types of technology strategy(broad/narrow) were revealed that broad marketing strategy had a more significant effect on performance of technology-based start-ups. With AMOS, the relevancy of the study model revealed higher for broad technology-marketing strategy than narrow technology marketing strategy, and the explanatory power revealed to be 6.4% higher in broad marketing strategy than narrow marketing strategy. Conclusions - This study confirmed that industry structure and technology characteristics are important factors influencing the performance of technology-based start-ups. Technology-marketing strategy affects the performance of technology-based start-ups between industry structure and technology characteristics. According to additional analysis, moderating variables and technology-marketing strategy are important factors influencing the performance of technology-based start-ups under industry structure and technology characteristics. Broad type of technology-marketing strategy has more attractive industry structure and excellent technology characteristics than narrow types of technology-marketing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.131-142
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• 2016

Since global circumstances have become competitive, entrepreneurship has been regarded as the most important factors in economic revitalization not only in korea but also internationally. According to these changes, public entrepreneurship education has been started from the year of 2004 establishing Entrepreneurial Graduate School as a part of governmental plan. Although entrepreneurship education history is not long enough in korea, but the need for entrepreneurship education in social is now going ahead of the public education systems such as universities and graduate schools. Therefore, this study is conducted for the purpose of drawing the subject frame for systematized integration curriculum of entrepreneurship education through evaluating the importance of the subjects by Analytic Hierarchy Process analysis after being composed of 6 modularity in the Entrepreneurship subjects. This was structured based on studying the current status for entrepreneurship education in domestic universities and graduate schools. The research findings under the condition of Judgement consistency ratio 0.1 are as follows. The most important factors are in order as following; "Entrepreneurial Issues for Fund"(.242), "Entrepreneurship Plan"(.195), "Entrepreneurship & Entrepreneurship mindset"(.161), "Entrepreneurial Issues for Growth & Development"(.160), "Management Skill & Strategy"(.150), and "Special Entrepreneurship"(.093). Then, these findings also represent subfactors as well. The results of this study provide the practical guidelines where the curriculums needed for the entrepreneurship education at graduate schools by suggesting consistency for the systematic and comprehensive curriculum design. It was reflected the survey result from the graduate students taking the entrepreneurship subjects. Therefore, it will contribute the foundation of the present curriculum of Entrepreneurial Graduate School.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.73-85
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• 2014

As the importance of big data analysis increases to improve the competitiveness of a corporate, a unified big data project development methodology is required in order to study the problem of a corporate in a systematic way and evaluate the problem w.r.t. a business value after solving the problem. This paper propose Scientific Data Anslysis and Development methodology(SDAD) which are integrated methodology of software development and project management for easier application into a field project. SDAD consisits of 6 stages(problem definition stage, data preparation stage, model design stage, model development stage, result extraction stage, service development state), each stages has detailed processes(47) and productions(93). SDAD, furthermore, unified previous ISP, DW, SW development methodologies in terms of the data analysis and can easily interchange the productions with them. This paper, lastly, introduces a way to assign responsible persons for each process and provide communication procedures in RACI chart to improves the efficiency of the interaction among professionals from different subjects. SDAD is applied to a Bigdata project in Korea Employment Information Services institution and the result turned out to be acceptable when evaluated by the supervision.

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