• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.742-743
• /
• 2015

Korean construction industry has developed with national economy growth for a couple of decades. However, because of slump of real estate, the domestic construction industry was intimidated. In this situation, many construction company has no choice but to go abroad to find construction projects. However, almost small or medium-sized construction companies are very hard to operate their business because they have small funding ability and weak labor power. Therefore, this study aims to propose an assessment tool through analyzing risk factors of overseas construction projects for small or medium-sized companies by examining preceding research and interviewing industry experts. Weights of the risk factors are determined through the surveys of the industry practitioners. All of the data is configured into the assessment tool and this converts the quantitative information which leads to the optimal of strategies choice. This paper provides a quantitative measurement of possible performance and detailed assessment of each itemized risk factors. This assessment tool is qualified for industry experts so that it can safely be applied to the future projects. Ultimately, many small or medium sized construction companies will benefit from the tool proposed in this study to examine the potential of the overseas market expansion.

• Journal of Distribution Science
• /
• v.11 no.12
• /
• pp.5-11
• /
• 2013

Purpose - The purpose of this study was to construct a turnover estimation model by investigating research by Park et al. (2006) on the market area of domestic distribution. The study investigated distribution by using a new tool for the turnover estimation technique. This study developed and discussed the turnover estimation technique of Park et al. (2006), applying it to a large-scale retailer in "D"city that was suitable for on-the-spot distribution. It constructed the new model in accordance with test procedures keeping to this retail business location, to apply its procedures to a specific situation and improve the turn over estimation process. Further, it investigated the analysis and procedures of existing turnover estimation cases to provide problems and alternatives for turnover estimation for a large-scale retailer in "D"city. Finally, it also discussed problems and scope for further research. Research design, data, and methodology - This study was conducted on the basis of "virtue" studies. In other words, it took into account the special quality of the structure of Korea's trade zones. The researcher sought to verify a sale estimate model for use in a distribution industry's location. The main purpose was to enable the sale estimate model (that is, the individual model's presentation) to be practically used in real situations in Korea by supplementing processes and variables. Results - The sale estimate model is constructed, first, by conducting a data survey of the general trading area. Second, staying within the city's census of company operating areas, the city's total consumption expenditure is derived by applying the large-scale store index. Third, the probability of shopping is investigated. Fourth, the scale of sales is estimated using the process of singularity. The correct details need to be verified for the model construction and the new model will need to be a distinct sale estimate model, with this being a special quality for business conditions. This will need to be a subsequent research task. Conclusions - The study investigated, tested, and supplemented the turnover estimation model of Park et al. (2006) in a market area in South Korea. Supplementation of some procedures and variables could provide a turnover estimation model in South Korea that would be an independent model. The turnover estimation model is applied, first, by undertaking an investigation of the market area. Second, a census of the intercity market area is carried out to estimate the total consumption of the specific city. Consumption is estimated by applying indexes of large-scale retailers. Third, an investigation is undertaken on the probability of shopping. Fourth, the scale of turnover is estimated. Further studies should investigate each department as well as direct and indirect variables. The turnover estimation model should be tested to construct new models depending on the type of region and business. In-depth and careful discussion by researchers is also needed. An upgraded turnover estimation model could be developed for Korea's on-the-spot distribution.

• Land and Housing Review
• /
• v.6 no.3
• /
• pp.107-115
• /
• 2015

Recently one of interest concern in domestic housing market is to reduce the difference of supply and demand. Exact demand estimation by accurate demand region is a essential cue to reduce the gap. This empirical study compared the data of housing subscriber's real address with estimated demand area on household movement, which are applied by advanced studies. This empirical case data is related to 3 housing development districts in metropolitan area. As a result, This study found that the real demand area has a more widened coverage compared with those of household movement one. For to establish exact demand area, we found, more complementary considerations should be taken. Especially some factors such as distance between a project site and downtown of Seoul Metropolitan City, locational competitiveness on main demand and behind demand, and development scale are more considerable variables. In additionally, we found the demand areas are influenced by housing rental types, sizes and the real estate business trends. And also, this study found those factors should be considered with housing price and locational competitiveness.

• Asian Journal of Business Environment
• /
• v.7 no.1
• /
• pp.25-29
• /
• 2017

Purpose - In this paper, we categorize and segment the 28 national universities in South Korea and measure the degree of dissimilarity (or similarity) between pairs of ones by using dissimilarity distance matrix and cluster analysis, respectively, based on the seven quantitative evaluation of educational conditions (percentage of small-scale courses, percentage of lecture by the faculty, collection of books per student, material purchase per student, percentage of building capacity, percentage of real estate capacity and rate of accommodation) in 2015. In addition, multidimensional scaling (MDS) techniques can obtain visual representation for exploring patterns of proximities among 28 national universities based on seven attributes of educational conditions. Research design, data, and methodology - This work is carried out by the 2015 Announcement of University Information, which is provided by Ministry of Education in South Korea and utilized by multivariate analyses with CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0. Results - We make certain that 28 national universities can be categorized into five clusters which have similar traits by applying two-stage cluster analysis. MDS is utilized to perform positioning of grouped places of cluster and 28 national universities joining every cluster. Conclusions - Both types and traits of each national university can be relatively assessed and practically utilized for each university competitiveness based on underlying results.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.11
• /
• pp.219-229
• /
• 2020

The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks' profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks' profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II's capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.

• The Journal of the Korea Contents Association
• /
• v.11 no.7
• /
• pp.508-518
• /
• 2011

In various urban renewal projects related to real estate, developer in order to conduct the business, must get real estate inside project section directly or receive the consent for project from the owners. It must be carried out by consultation. When it fails, developer, in order to get ownership, adopts 'the Right of Claim for the sale' which has forcibleness. However, because the procedure for implementation of the right of claim for the sale is not clear, conflict between stakeholders is caused and it causes extension of period. Therefore, after examining judgments and references of judicial power for administrative litigation of the Right of Claim for the sale, by researching stakeholders of the housing rebuilding project and based on the results, finding out differences of stakeholders' recognition according to their position and problems of exercising procedure of the Right of Claim for the sale, and by presenting improvement plans of the system of the Right of Claim for the sale, contributing the success of the housing rebuilding project is the purpose of it.

• Journal of Distribution Science
• /
• v.12 no.10
• /
• pp.11-17
• /
• 2014

Purpose - The purpose of this study is to investigate the relationship that is found to exist between the technology-based self-service convenience orientation factor and the factors of convenience and quality. Research design, data, and methodology - The questionnaire was developed by using the modified and supplementary questions that were examined in previous studies. We used the SPSS/PC 18.0 and lisrel 8.3 statistical packages to analyze the results of the research. For validating the research hypothesis and structural relationship of the research model, path analysis was used in this study. Results - The ease of use exerted a significant influence on the four dimensions. Information had a significant influence on transaction, benefit, and post-benefit convenience. Control had a significant influence on five dimensions. Conclusions - This study suggests that technology-based self-service convenience is classified into five multi-dimensional levels. Further, the study reveals that control, ease of use, and information are important variables in order to increase convenience. Therefore, for improving technology-based self-service convenience, it is important to improve the control, ease of use, and information variables.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.9
• /
• pp.169-178
• /
• 2020

In this paper, we provide an overview of financial development in Vietnam. Particularly, a new approach of this study is to measure financial development through improvements in depth, efficiency and access of the banking system and stock market. Further, the study examines the factors significantly affecting financial development in Vietnam. The data are collected in Vietnam, an emerging country with a limited financial development. We employ the Autoregressive Distributed Lag (ARDL) approach, which generates a high reliability and suits data characteristics of emerging countries like Vietnam. We observe that Vietnam's banking system plays a key role in supplying credits to the economy while the nascent stock market at a limited size shows its potential for a considerable growth in the future. We also find the influential determinants of financial development in Vietnam including real estate market (RE), economic growth (EG), consumer price index (CPI), and global financial crisis (GFC). These findings are essential for Vietnamese authorities in providing practical solutions in order to build a sustainable and synchronous financial development. They are also first empirical evidence relating to an overview of financial development in an emerging country, so they are not only valuable to Vietnam but also crucial to other emerging economies.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.10
• /
• pp.1-10
• /
• 2021

This paper attempts to investigate the determinants of capital structure of Vietnamese firms and also shed light on some of the factors of the modern theory of capital structure which is relevant for explaining the capital structure in advanced countries which are also relevant in the context of Vietnam. Using panel data from more than 1000 Vietnamese listed enterprises census 2017-2020, the paper finds that leverage ratio of Vietnamese firms is significantly related to probability. The firms have high level of fixed assets which they use as collateral, resulting in higher debt ratio, which is in line with the pecking order theory. The result also confirm that highly targeted debt ratio is positively correlated with the industry characteristics (using real estate firms as a benchmark), in which firm operates. Furthermore, consistent with the trade-off hypothesis, the leverage ratio is positively affected by non - debt tax shield. The result confirms that a large number of companies are state - owned, will have an insignificant impact of firm's size (as reverse proxy for bankruptcy cost) on leverage ratio. We also find that there is no distinction between state-owned enterprises and private enterprises due to strict adherence to the rules set by the Vietnamese government. Distinct from other countries, corporate income tax has slight impact on capital structure in Vietnamese firms.

• Journal of Distribution Science
• /
• v.20 no.12
• /
• pp.109-116
• /
• 2022

Purpose: The purpose of this study is to analyze the rental determinants of a small shopping mall located in Seoul, Korea, and the characteristics of four commercial districts (CBD, GBD, YSD, etc.). Research design, data, and methodology: For the characteristics of the data, descriptive statistics and frequency analysis were used. Artificial Neural Networks (ANNs) have been used as rental determinants for small shopping malls. The characteristics of 4 commercial districts were analyzed using Analysis of variance (ANOVA) and post-hoc analysis. Results: 1) CBD 14.8%, GBD 16.7%, YSD 13.0%, others 55.6%. 2) The order of important variables affecting rent: CBD=1> GBD=1> vacancy rate> rental index> number of buildings> YBD=1> average gross floor area> conversion rate> average floor. 3) Characteristics of commercial district: Rents in CBD and GBD are high. The conversion rate is high in the GBD commercial area. The number of buildings is high in the CBD. The average area of GBD is larger than that of other commercial districts. Conclusions: 1) Several factors should be considered when investing in or renting a small shopping mall. 2) Depending on the investment and business purpose, factors such as rent, conversion rate, building, and area average should be considered.