• International conference on construction engineering and project management
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• 2005.10a
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• pp.1100-1105
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• 2005

To compete with large construction companies whose dominance in market share is deepening recently, the needs for improving field production system of mid-size construction companies have increased rapidly. The development of an adequate model that focuses on the organizational size and work process of the mid-size construction companies are needed to increase productivity through the informatization in the construction industry[0]. The authors of this study used case studies on the problems of the mid-size construction companies in procuring work and presented a method to solve such problems so that the managers in head office of those mid-size construction companies can effecitively deal with multiple sites[0].

• International conference on construction engineering and project management
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• 2015.10a
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• pp.354-356
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• 2015

As domestic recession has had an adverse impact on many Korean companies in Korea, financial soundness has become a critical issues. It is essential to identify financial risk factors to prevent workout as well as to improve the financial condition of domestic construction companies. Therefore, this study derived important management indicators and the financial ratios that belong to each indicator through a comparative analysis between healthy companies and workout companies with financial statement. As a consequence, key financial ratios are derived into 3 of 25 ratios; Equity Ratio in stability indicator, Total Asset Turnover Ratio in activity indicator, and Labor Equipment Ratio in productivity indicator. So, Korean construction firms are required close monitoring these critical financial ratios indicating variation between construction companies which have opposing statuses in finance in order to keep sound financial condition and increase productivity.

• Korea Trade Review
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• v.46 no.4
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• pp.77-93
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• 2021

The results of this paper show that strategic and technical factors in the integration of logistics between shipping and logistics companies act as a synchronizing factor for internal and external logistics integration. In addition, internal integration of logistics is expanded to external integration, and internal and external logistics integration is shown to enhance the logistics performance of companies. In other words, the greater the strategic need for logistics integration and the higher the utilization of logistics technology, the stronger the motivation for logistics integration. Furthermore, both internal and external integration of logistics have a positive impact on companies' logistics costs and improvement of logistics services.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.105-117
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• 2024

This study conducted in-depth interviews with 8 ICT companies experienced in technology transfer and collaboration with government-funded research institutions, employing Grounded Theory methodology. From these interviews, 139 episodes were extracted and categorized into 29 sub-categories across the companies. Validation by independent coders further classified these into 5 categories: potential absorptive capacity, realized absorptive capacity, technology collaboration activities, technology collaboration performance, and innovation intermediaries. The validation results suggest that companies with higher absorptive capacity are more actively involved in technology collaboration. Moreover, companies utilizing innovation intermediaries demonstrate increased collaboration frequencies. The study contributes to academia and industry by providing insights for companies to improve competitiveness and foster smooth technology collaboration, enhancing collaborative outcomes. Future research should focus on quantitatively validating these findings.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.35-48
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• 2014

According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.57-79
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• 2016

It is a rising trend that the number of users using one of the social media channels, the Social Network Service, so called the SNS, is getting increased. As per to this social trend, more companies have interest in this networking platform and start to invest their funds in it. It has received much attention as a tool spreading and expanding the message that a company wants to deliver to its customers and has been recognized as an important channel in terms of the relationship marketing with them. The environment of media that is radically changing these days makes possible for companies to approach their customers in various ways. Particularly, the social network service, which has been developed rapidly, provides the environment that customers can freely talk about products. For companies, it also works as a channel that gives customized information to customers. To succeed in the online environment, companies need to not only build the relationship between companies and customers but focus on the relationship between customers as well. In response to the online environment with the continuous development of technology, companies have tirelessly made the novel marketing strategy. Especially, as the one-to-one marketing to customers become available, it is more important for companies to maintain the relationship marketing with their customers. Among many SNS, Facebook, which many companies use as a communication channel, provides a fan page service for each company that supports its business. Facebook fan page is the platform that the event, information and announcement can be shared with customers using texts, videos, and pictures. Companies open their own fan pages in order to inform their companies and businesses. Such page functions as the websites of companies and has a characteristic of their brand communities such as blogs as well. As Facebook has become the major communication medium with customers, companies recognize its importance as the effective marketing channel, but they still need to investigate their business performances by using Facebook. Although there are infinite potentials in Facebook fan page that even has a function as a community between users, which other platforms do not, it is incomplete to regard companies' Facebook fan pages as communities and analyze them. In this study, it explores the relationship among customers through the network of the Facebook fan page users. The previous studies on a company's Facebook fan page were focused on finding out the effective operational direction by analyzing the use state of the company. However, in this study, it draws out the structural variable of the network, which customer committment can be measured by applying the social network analysis methodology and investigates the influence of the structural characteristics of network on the business performance of companies in an empirical way. Through each company's Facebook fan page, the network of users who engaged in the communication with each company is exploited and it is the one-mode undirected binary network that respectively regards users and the relationship of them in terms of their marketing activities as the node and link. In this network, it draws out the structural variable of network that can explain the customer commitment, who pressed "like," made comments and shared the Facebook marketing message, of each company by calculating density, global clustering coefficient, mean geodesic distance, diameter. By exploiting companies' historical performance such as net income and Tobin's Q indicator as the result variables, this study investigates influence on companies' business performances. For this purpose, it collects the network data on the subjects of 54 companies among KOSPI-listed companies, which have posted more than 100 articles on their Facebook fan pages during the data collection period. Then it draws out the network indicator of each company. The indicator related to companies' performances is calculated, based on the posted value on DART website of the Financial Supervisory Service. From the academic perspective, this study suggests a new approach through the social network analysis methodology to researchers who attempt to study the business-purpose utilization of the social media channel. From the practical perspective, this study proposes the more substantive marketing performance measurements to companies performing marketing activities through the social media and it is expected that it will bring a foundation of establishing smart business strategies by using the network indicators.

• Journal of the Korean Society of Costume
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• v.64 no.2
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• pp.84-97
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• 2014

This research aimed to explore strategies to develop the cashmere industry in Mongolia. Questionnaire consisted of questions regarding the necessity of development in different sectors in the cashmere industry, and areas of necessary competition for the development of Mongolian cashmere industry. In addition, characteristics of respondents and their companies were questioned. Surveys were distributed to people working in cashmere manufacturing companies in Ulaanbaator, Mongolia between July 25th, 2012 to September 3rd, 2012, and a total of 79 questionnaires were included in the final analysis using descriptive analysis, t-test, one-way ANOVA, and Duncan test. Results showed that respondents perceived design as the sector that needed the most improvement, and product related strategies such as product quality, product differentiation, and design were more important than distribution or promotion related strategies. The perceptions on the development strategies differed according to company size and their target markets (domestic vs. export). Overall, respondents working in smaller companies showed greater concern for most sectors, and also felt technology, product quality and design were more important than those in working in larger companies. Companies that targeted the domestic market showed greater concern for herding and scouring sector than companies that exported, while the latter evaluated government policy, network, distribution/export channels more importantly than the former in developing the Mongolian cashmere industry.

• International Commerce and Information Review
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• v.11 no.4
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• pp.77-109
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• 2009

The purpose of this study is to review the current trend of FDIs by Korean companies into EU, and to present the optimal strategies for them to combine their firm-specific factors and FDI attractiveness of the regions in EU. The companies are divided into two categories, SMEs and large enterprises. The regions of EU are composed of 15 incumbent members before the fifth enlargement in 2004 and 12 new members. Large Korean companies tend to make large investments in 15 incumbent members with stable and mature markets. Korean SMEs, by contrast, mainly invest on small scales in the new members due to the lack of their available inner resources and knowledge for the markets. The main objects of the investments in EU by the large Korean companies are to gain more market share and to acquire the advanced technologies. Although such goals are also important for the SMEs, the most important objects for the investments by Korean SMEs in EU are usually to enter EU markets and to take advantage of the relatively cheap labor forces for the efficient operations. The effects of such passive strategies by the SMEs, however, are expected to extinct because the cost advantages in regions of the new EU members will not last in the long term, so the SMEs must take longer views for the choice of locations. Many empirical results suggest that the optimal FDI strategies for the Korean companies in EU could be worked mainly by more aggressive localization policy of companies and by the cooperations of SMEs and large enterprises for the reduction in costs of foreignness.

• Journal of Agricultural Extension & Community Development
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• v.18 no.2
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• pp.315-333
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• 2011

Korea and China have a similar agricultural background and they have an analogical culture and custom of food. In addition, they are located close. Thus, their agricultural sectors easily have effected each other. The purpose of this study is to review the history and situation of Chinese agribusiness, to analyze the status of Chinese investing policy which is varied after China joining in WTO, and to suggest the ways that Korean companies can successfully invest in the Chinese agribusiness sector. In addition, we explore the cases that foreign companies in Hongkong invest in the Chinese agribusiness sector. Korean companies must have a special knowledge about Chinese laws and custom of business. They also have to make a good partners who help their business. Second, before Korean companies investing in the Chinese agribusiness sector, they must carefully choice investing items. These items have to satisfy several conditions, accessing to international market as well as Chinese market and that politic assistance of Chines government is rendered. Third, when Korean companies invest in the Chinese agribusiness sector, the scale of invest would better not be large. In addition, Korean companies have to make a joint-venture company in China and build vertical integration.

• International Commerce and Information Review
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• v.12 no.2
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• pp.325-355
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• 2010

Knowledge-based exporting companies in Korea have reached a stage to develop new technological innovation and to pioneer new markets. But, developing new technologies and launching new products require an enormous sum of money for Research and Development(R&D) and there is still uncertainty in technological development and markets. Therefore, through open technological innovation, they are encouraged to actively use external technological sources and ideas. They also need to enhance the efficiency of the relatively little R&D investment. In this paper, firstly, it conducts a precedent study on the concept and influence factors of knowledge-based exporting companies and open technological innovation. Secondly, it sets a study model and estimates a regression coefficient to analyze the influence factors of open technological innovation of knowledge-based exporting companies which are using external resources on the process of innovation. Through case study and empirical analysis, we are going to find the implication of open technological innovation and prepare the way of the innovation for the knowledge-based exporting companies. According to the empirical analysis, variables such as firm size, processing degree, product life, patent registration, maintaining internal security didn't have positive effects on open innovation performance. On the other hand, research capability and market preoccupancy had positive effects. Therefore, to succeed in open innovation, knowledge-based exporting companies not only need to secure research capability through open innovation, but also need to preoccupy the market through commercialization of developed product.