• Title/Summary/Keyword: IT Investment Decision Making

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A Study on prioroty estimation of GIS cost Using Analystic Hierarchy Process(AHP) (계층분석법을 이용한 GIS 사업추진시 분야별 비용 중요도 우선 순위 평가에 관한 연구)

  • Heo, Yong;Kim, Jung-Ok;Yang, Sung-Chul;Yu, Ki-Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.3 s.21
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    • pp.99-105
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    • 2002
  • In 1995 of May, the Ministry of Construction and Transportation (NOCT) developed the First Nation-wide Master Plan of GIS. It is set up in response to an increasing and various demands on spatial informations. Until now, a set of diverse projects related to spatial information have been proposed and executed. However, cost-benefit analysis of investment and decision making for alternatives have not been carried out appropriately because scientific evaluations for obtaining efficiency and economical validity of investment have been deficient. Optimum decision making for projects based on itemized priority order using effect or cost of proposed alternative plan is a fundamental expedient for demonstration of propriety of projects and enhancement of efficiency of investment. From such understanding, this paper applied the analytic hierarchy process (AHP) technique to the cost required to construct a GIS so that analyze the weight of each cost factor.

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Studies on the Larger Ship Being Built in the Current Container Shipping Market (컨테이너 선대의 대형화추세에 대한 고찰)

  • 김진환
    • Journal of Korea Port Economic Association
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    • v.21 no.1
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    • pp.1-21
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    • 2005
  • It has been more recent trends in container trade to make bogger ship from shipowners that many more parties concerned are getting involved. Well, it is natural to swift these situations if we have looked into container trade market in present time, which a lot of trade volumes has increased in world economy. Thus, supply side of shipping service needs to employ more capacity in the shipping market, then newbuilding may be compulsory options, that is deployment of larger ships. To cope with market situations as able shipowner, some alternatives can be also adopted, such as newbuilding, chartering and securing the space by strategic alliance. But whatever he does, shipowner has to keep in mind to prepare for the future. This is much more important factor considered to make investment decision in case of newbuilding and then he can make more efficient decision as well. However, there has been a little problems arisen due to larger ship employed on the trade route, which is linked with seaport, shipping companies and freight rates as well. Although shipowner decides to build new larger vessel as one of corporate strategic decision, there are many questions to be considered in advance. Therefore, in order to take more efficient decision, shipowner has to take into an account various situations surrounded, and then it can lead truly thoughtful decision making process.

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Dynamic Analysis of National R&D Projects' Qualitative Efficiency (국가연구개발사업 질적 효율성의 동태적 분석)

  • Kim, Kyungsoo;Cho, Namwook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.1
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    • pp.9-20
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    • 2019
  • Korea's R&D investment has significantly increased in recent years. However, the efficiency of R&D investment is still in question. In order to examine the ways to improve the efficiency of R&D investment, this paper presents dynamic analysis on both quantitative and qualitative efficiency of R&D projects. A Data Envelopment Analysis(DEA)/Window method is used to analyze static and dynamic efficiencies of Industrial Material R&D projects in Korea from 2012 to 2016. As a result, statistically significant differences between quantitative and qualitative efficiency have been found. It has been observed that characteristics of Decision Making Units(DMUs) have an impact on both static and dynamic efficiencies. In particular, textile and ceramic projects showed relatively stable qualitative efficiency for a short-term perspective, while steel and chemical projects showed such stability for a long-term perspective. Among the types of project principals, universities showed relatively stable efficiency, compared with private sectors and research institutes. The results of this paper can be used as a guideline to manage the performance and stability of R&D projects' efficiency.

A Study on Investment Decision Factors of Accelerator (액셀러레이터 투자자와 창업자의 스타트업 투자결정요인 중요도 평가에 관한 연구)

  • Byun, Jung Wook;Kim, Yun Bae;Lee, Byoung Chul
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.4
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    • pp.45-55
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    • 2022
  • Accelerator is a private investment institution that provides startups with comprehensive solutions to solve various difficulties such as startup facilities, funds, commercialization, securing a market etc. In addition to the role of an investor as a new startup support model, accelerators have contributed much to improvement of business ability of startups through intensive mentoring. Considering that previous studies gave weight to the determinants of investment from the perspective of investors, this study made a comparative analysis on the relative importance of determinants of investment in startups among accelerators, investors and entrepreneurs through the method of AHP. Results show that accelerators and investors regard "managerial characteristics" of startups as of the highest importance, whereas entrepreneurs think that "market characteristics" of startups are the most important. The result stems from an empirical judgment from the perspective of investors that success of startups depends on the ability of entrepreneur, and it is considered that investors evaluated marketability of startups as the most important factor in consideration of investment payback period. The result is similar to the result of previous studies on the determinants of investment determinants of angel investors and venture capitals. This paper is expected to make a contribution to the advancement of investment decision-making model for accelerators to discover startups with high possibility to grow and achieve more in incubation and investment.

A Study on the Critical Factors Affecting Investment Decision on TIPS (민간주도형 기술창업지원 팁스(TIPS) 투자의사 결정요인에 관한 연구)

  • Goh, Byeong Ki;Park, Sol Ip;Kim, Da Hye;Sung, Chang Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.5
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    • pp.31-47
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    • 2022
  • The TIPS, a representative public-private cooperative project to revitalize the start-up ecosystem, is a government supported policy that promotes successful commercialization through various start-up support for technology-based startups. The purpose of this study is to analyze the investment decision factors of the TIPS program and to derive priorities. In order to achieve the research purpose, first, the investment decision factors were derived through literature analysis, a Delphi surveys were conducted on investors and experts participating in the evaluation of the TIPS program, and an AHP analysis was conducted on 20 VCs to empirically analyze the priority of factors on investment decisions. As a result of the analysis, the importance of critical factors was confirmed in the order of entrepreneurs(team) > market > product/service > finance > network. The importance of detailed factors was found in the order of entrepreneur's reliability and authenticity > market growth and scalability > team members' expertise and capabilities > adequacy of current market size > new market creation. This study presented the capabilities of technology-based startups preparing to participate in the TIPS program by deriving factors that influence investment decisions from an investor's perspective and comparing and analyzing the importance. It is also meaningful that basic data on determinants of private-led investment decision-making were presented to stake-holders such as venture capital, accelerator, and start-up support institutions.

A Study on the Capital Budgeting under Risk and Uncertainty (위험하(危險下)의 투자결정(投資決定)에 관한 연구(硏究))

  • Lee, Tae-Joo
    • The Korean Journal of Financial Management
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    • v.2 no.1
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    • pp.21-34
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    • 1986
  • The purpose of this study is to analyse the risk and uncertainty involved in the capital budgeting which is executed in long periods and requires massive capital expenditure. Under risk and uncertainty conditions, the estimates in the capital budgeting are random variables rather than known constants. Two approaches have emerged in performing economic analysis that explicitly incorporate risk and uncertainty conditions in the analysis. One approach is to develop a descriptive model which describes the economic performance of an individual investment alternative. But no recomendation would be forthcoming from the model. Rather, the decision-maker would be furnished descriptive information concerning each alternative; the final choice among the alternatives would required a separate action. The second approach is to develop a normative model which includes an objective function to be maximized or minimized. The output from the model prescribes the course of action to be taken. Owing to the fact that the normative approach considers the fitness of criteria for decision-making its reasonableness looks better. But it is almost imposible that we correctly and easily derive the individuals' utility function. So within we recognize the limits of the descriptive methods, it is more practicle to analyse the investment alternatives by sensitivity analysis.

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Data Mining Tool for Stock Investors' Decision Support (주식 투자자의 의사결정 지원을 위한 데이터마이닝 도구)

  • Kim, Sung-Dong
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.472-482
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    • 2012
  • There are many investors in the stock market, and more and more people get interested in the stock investment. In order to avoid risks and make profit in the stock investment, we have to determine several aspects using various information. That is, we have to select profitable stocks and determine appropriate buying/selling prices and holding period. This paper proposes a data mining tool for the investors' decision support. The data mining tool makes stock investors apply machine learning techniques and generate stock price prediction model. Also it helps determine buying/selling prices and holding period. It supports individual investor's own decision making using past data. Using the proposed tool, users can manage stock data, generate their own stock price prediction models, and establish trading policy via investment simulation. Users can select technical indicators which they think affect future stock price. Then they can generate stock price prediction models using the indicators and test the models. They also perform investment simulation using proper models to find appropriate trading policy consisting of buying/selling prices and holding period. Using the proposed data mining tool, stock investors can expect more profit with the help of stock price prediction model and trading policy validated on past data, instead of with an emotional decision.

A Study on Valuation of Foreign Real Estate Investment using Real Option (실물옵션을 이용한 해외 부동산 투자 가치평가 연구)

  • Gu, Seung-Hwan;Ping, Wang;Jang, Seong Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.11
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    • pp.5465-5475
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    • 2013
  • In this study, when to invest in real estate abroad, to present a real option in the way of decision-making. Thus, by using the binomial option model of one of the real thing and DCF, we compared the choice of real estate investment in China and South Korea. Research concerns the real estate market of Shanghai and Seoul, Analyzed the data between 2001-2009. Results were calculated NPV investment period (Net Present Value), Seoul appears in 435.44, Shanghai was 398.26. Investment decision by NPV method will select Seoul. However, as a result of calculating the value using the real option, it was found that for Seoul appear in 615.4, Shanghai has been shown to 626.1, and is suitable for investment in Shanghai. Assuming on the basis of this, that it has invested in practice, and compare the results, Seoul is intended for since 2010, real estate prices fell to 2013 currently, damage has occurred, profit's occurred Shanghai. This ensures that when making decisions in real estate investment and to use the real option than the existing DCF is appropriate.

A Study on Threat factors of Information Security in Social Network Service by Analytic Hierarchy Process (AHP를 이용한 SNS 정보보호 위협요인 분석)

  • Sung, Ki-Hoon;Kong, Hee-Kyung;Kim, Tae-Han
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.20 no.6
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    • pp.261-270
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    • 2010
  • As the usage of social network service(SNS) increases recently, great attention has been shown to the information security in SNS. However, there has been little investment in SNS environment for security while preferential investment to attract subscribers has been made so far. Moreover, there is still a lack of confidence for investment effect and an absence of framework to analyze the threat factors of information security in SNS. In this paper, we propose to model for decision-making standard of SNS information security investment by the AHP. The result shows that 'service image' is the most important criterion for the decision of SNS information security. It also shows that 'Profile-squatting and reputation slander through ID thefts' and 'Corporate espionage' are important threat factors in SNS information security.

Vietnam: Is it attractive market for Korean Textiles and Apparel Industries\ulcorner Recent investments, Future Directions, and Implications (한국 섬유 및 의류산업의 유망 해외 진출국으로서의 베트남: 최근 진출 현황, 향후 전망과 제언)

  • 김혜수;진병호;박연주
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.7
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    • pp.958-969
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    • 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.