• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.8
• /
• pp.4133-4145
• /
• 2017

Advances in science and technology are driving us to the better life but also forcing us to make more investment at the same time. Therefore, the government has provided the investment to carry on the promising futuristic technology successfully. Indeed, a lot of resources from the government have supported into the science and technology R&D projects for several decades. However, the performance of the public investments remains unclear in many ways, so thus it is required that planning and evaluation about the new investment should be on data driven decision with fact based evidence. In this regard, the government wanted to know the trend and issue of the science and technology with evidences, and has accumulated an amount of database about the science and technology such as research papers, patents, project reports, and R&D information. Nowadays, the database is supporting to various activities such as planning policy, budget allocation, and investment evaluation for the science and technology but the information quality is not reached to the expectation because of limitations of text mining to drill out the information from the unstructured data like the reports and papers. To solve the problem, this study proposes a practical text mining methodology for the science and technology trend analysis, in case of aerospace technology, and conduct text mining methods such as ontology development, topic analysis, network analysis and their visualization.

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.14 no.1
• /
• pp.111-128
• /
• 2003

Advances in information technology (IT) are becoming one of the most significant driving forces changing the structure of global financial management. This phenomenon is occurring in all industries; the hotel industry is no exception and must quickly adapt to this new trend. This study examines the technology intensity of the industry by assessing the degree to which the industry has allocated capital to IT projects, and discusses IT investment in the hospitality industry with a particular emphasis on assessing the value of IT investment and its investment strategy.

• Journal of Applied Tourism Food and Beverage Management and Research
• /
• v.11
• /
• pp.121-133
• /
• 2000

Advances in information technology (IT) are becoming one of the most significant driving forces changing the structure of global financial management. This phenomenon is occurring in all industries ; the hotel industry is no exception and must quickly adapt to this new trend. This study discusses IT investment in the hospitality industry with a particular emphasis on assessing the value of IT investment and its investment strategy.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.438-441
• /
• 2002

Korean construction firms have been continuing investment of IT for last ten years. However, manager did not support a decision-making of IT because there is no evaluation and feedback system of IT investment. This study is a preceding research of making IT evaluation model as a part of MOCT(the Ministry of Construction and Transportation)'s construction CALS/EC policy and makes a basic frame through a trend and state of IT survey. As a result of survey, To encourage them, IT development to be balanced in each members for successful stabilization of CALS/EC as well as IT evaluation will be conducted in accordance with one's environment, such as a role and level of companies.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.7
• /
• pp.958-969
• /
• 2002

No one doubts that textile and apparel industries have contributed to economic miracles of the export-led growth in Korea. However, by the turning of 1990′s, these sectors have encountered many problems such as decreasing of domestic production and exports mainly due to wage rise and shortage. Therefore, foreign direct investment to the low labor cost countries has been enlarged for a way of improving its competitiveness and increasing exports. However, no intensive study has been made exploring current investments and future directions. This study focuses Vietnam as one of the promising overseas investment countries. The purposes of this study are to analyze current investment status of Korean textiles and apparel firms in Vietnam, to explore merits and problems Vietnam has, and to present useful implications and strategies for Korean textiles and apparel companies. Analysis of current secondary data suggests that Korean apparel industry, rather than textiles industry, have invested more in Vietnam, mostly in southern Ho Chi Minh City. Investments of Korean apparel and textile firms have shown steady increase from 1990 but have turned to a decrease from 1995. Findings suggested that Vietnam has merits for attracting foreign investment since it provides relatively cheap labor and outstanding skillful hands suitable for apparel and textiles industries. In addition, because of EU quota increase and the trade agreement between Vietnam and USA it is likely for firms in Vietnam to increase exports to EU and USA Rapid expansion of domestic apparel market and "Korean trend (Han Rue)" in Vietnam resulted from successful star marketing of Korean firms are another merits Vietnam has to the Korean fm. However, regulations of central government, low efficiency of bureaucratic and stiff administrative process, difficulty of making decision in case of joint venture, lack of social overhead capital, high factory construction costs, weak construction condition, and the excessive competition among investment enterprises have found to be problems. Based on pros and cons of investment to Vietnam, marketing strategies, practical implications and future directions were suggested.

• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.702-714
• /
• 2020

Stock investment is a personal investment technique that has gathered tremendous interest since the reduction in interest rates and tax exemption. However, it is risky especially for those who do not have expert knowledge on stock volatility. Therefore, it is well understood that accurate stock trend prediction can greatly help stock investment, giving birth to a volume of research work in the field. In order to compare different research works and to optimize hyper-parameters for prediction models, it is required to have an evaluation standard that can accurately assess performances of prediction models. However, little research has been done in the area, and conventionally used methods have been employed repeatedly without being rigorously validated. For this reason, we first analyze performance evaluation of stock trend prediction with respect to performance metrics and data composition, and propose a fair evaluation method based on prediction disparity ratio.

• 한국경영정보학회:학술대회논문집
• /
• 2007.06a
• /
• pp.339-344
• /
• 2007

In the cut-throat competitive environment of business, large-scale IS investment is becoming inevitable strategic necessity for gaining competitive advantage. However. it bears great deal of risk over all the associated processes so that the investment decisions need to be taken in a greatly careful manner. Nonetheless, Korean organizations are prominently showing risk taking behaviors regarding major is investment, in terms of system downsizing. Although decision theory argues decision makers' rational choice of options through the assessment of risk and benefit, the notable trend toward system downsizing in Korea defies common understandings on IS project risk. Furthermore, it encourages us to investigate many impenetrable characteristics underlying organizational risk taking decisions with IS investment. We found out that there is Significant effect of IS decision makers' risk propensity when they make system downsizing decisions. Moreover. we Identified that IS decision makers do not get a strong pressure of cost savings and have tendencies to mimic competitor's decisions.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2002.05a
• /
• pp.1066-1070
• /
• 2002

We propose a neural network based up-trend detector. An auto-associative neural network was trained with 'up-trend' data obtained from the KOSPI 200 future price. It was then used to predict an up-trend Simple investment strategies based on the detector achieved a two year return of $19.8\%$ with no leverage.

• The Journal of Society for e-Business Studies
• /
• v.20 no.2
• /
• pp.1-14
• /
• 2015

In this paper, we investigate the relationship between Internet search trends and stock market. Under the assumption that investors may use Internet search engine to obtain information for companies of their interests before taking actual investment actions, the relationship between the changes on Internet search volume and the fluctuation of trading volume as well as stock price of a company is analyzed with actual market data. A search trend investment strategy that reflects the changes on Internet search volume is applied to large enterprises' group and to small and medium enterprises' (SMEs) group, and the correlation between profit rate and trading volume is analyzed for each company group. Our search trend investment strategy has outperformed average stock market returns in both KOSPI and KOSDAQ markets during the seven-year study period (2007~2013). It is also shown that search trend investment strategy is more effective to SMEs than to large enterprises. The relationship between changes on Internet search volume and stock trading volume is stronger at SMEs than at large enterprises.

• Knowledge Management Research
• /
• v.22 no.4
• /
• pp.87-101
• /
• 2021

ESG Investment is emerging as a trend and common sense in the financial market. ESG Investment is an investment method that simultaneously pursue social sustainability and investment returns from a long-term perspective by reflecting non-financial factors such as environment, society and governance in addition to corporate financial performance in investment decisions. This study checked how the characteristics of ESG investment have been changed after Covid-19. Afterwards, it was confirmed that Covid-19 actually acted as a negative factor in the securities market by applying VAR model. At the same time, it was demonstrated that ESG indices of the US and Korea outperformed their benchmark in terms of return and risk during the pandemic regime. The result of this study hints that the importance of ESG investment will be unchanged after Covid-19. At the same time, it suggests that managers should avoid passive ESG management and engage in strategic ESG management based on knowledge management.