• Title/Summary/Keyword: Investment Level in IT

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A Study on Matters to be Attended when Drafting National Treatment Clause in International Investment Treaty (투자협정상 "내국민대우(National Treatment)" 조항 작성시 유의사항에 관한 연구)

  • Oh, Won-Suk;Seo, Kyung;Li, Jing-Hua
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.49
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    • pp.519-544
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    • 2011
  • Clauses on national treatment in the bilateral investment treaties including FTA state that, the foreign investor and his investments are 'accorded treatment no less favourable than that which the host state accords to its own investors'. Hence the purpose of the clause is to oblige a host state to make no negative differentiation between foreign and national investors when enacting and applying its rules and regulations and thus to promote the position of the foreign investor to the level accorded to nationals. As a matter of legal drafting technique, while the basic clause is generally the same, the practical implications differ due to more or less wide-ranging exemptions of certain business sectors. It is generally agreed that the application of the clause is fact-specific. This paper deals with problems in drafting clauses on national treatment in practice, introduces several considerations to adjust the level of national treatment, so it can be made more represents the interest of our country.

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Causal Effect from IT Capital in the US Computer and Electronic Products Industry: Value Added Increase or Labor Decrease (미국 전자산업에서 IT자본의 효과: 부가가치 창출 또는 근로자의 감소)

  • Sangho Lee
    • Information Systems Review
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    • v.22 no.2
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    • pp.121-135
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    • 2020
  • Since many researchers were interested in measuring the performance of information technology investment, many studies have been conducted with various data sources and analysis methods, and most studies report that IT investment produces significant and positive results. Many of these studies have been conducted at the enterprise level, but different results may occur at the industry level. In the case of the electronics industry, if the performance of the IT highly increases, the sales of the IT produced in the electronics industry may decrease, and the added value of the electronics industry may also decrease. As a result of analysis, the increase in the IT capital of the US electronic industry did not increase the added value of the industry, but the increase in IT capital per worker in the industry had a positive effect on the increase in value added per worker (labor productivity) in the industry. In addition, the increase in IT capital in the US electronics industry has resulted in a decrease in the number of workers.

R&D Trends Monitoring through Scanning Public R&D Investments: The Case of Information & Communication Technology (ICT) in Meteorology and Climatology

  • Heo, Yoseob;Kim, Hyunwoo;Kim, Jungjoon;Kang, Jongseok
    • Asian Journal of Innovation and Policy
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    • v.5 no.3
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    • pp.315-329
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    • 2016
  • Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

Uncertainty, Corporate Investment and the Role of Conservative Financial Reporting: Empirical Evidence from Pakistan

  • FATIMA, Huma;RANA, Sahar Latif;HAFEEZ, Abida
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.6
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    • pp.231-243
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    • 2022
  • The objective of this study is to analyze the impact of conservative financial reporting on investment during uncertainty. It was assumed that during uncertainty conservative financial reporting can play an important role to improve investment decision-making. For our analysis, data sets from 2005-2020 of nonfinancial companies are used. To measure the impact of conservative financial reporting in the non-financial sector of Pakistan, Khan and Watts' (2009) model is applied. "Prospector" and "Defender" Business strategy is applied for measuring firm-level uncertainty. Investment is measured by adding the change in fixed assets (property, plant, and equipment). To check the robustness of conservative financial reporting, Givoly and Hayn's (2000) Negative Accruals measure is applied. To measure the robustness of uncertainty, environmental scanning and alertness technique is applied. According to environmental scanning and alertness technique, companies are divided into two groups named 'inert' and 'alert'. 'Inert' are those firms that are not scanning their environment, and 'alert' are those firms who continuously analyze their environment. The empirical estimations support our hypothesis. The empirical findings provide the proof that in the wake of uncertainty conservative financial reporting may facilitate to take optimal investment decisions in the developing economy of Pakistan. Our results provide critical and practical implications for investors, researchers, and standard setters.

Game Theoretic Optimization of Investment Portfolio Considering the Performance of Information Security Countermeasure (정보보호 대책의 성능을 고려한 투자 포트폴리오의 게임 이론적 최적화)

  • Lee, Sang-Hoon;Kim, Tae-Sung
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.37-50
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    • 2020
  • Information security has become an important issue in the world. Various information and communication technologies, such as the Internet of Things, big data, cloud, and artificial intelligence, are developing, and the need for information security is increasing. Although the necessity of information security is expanding according to the development of information and communication technology, interest in information security investment is insufficient. In general, measuring the effect of information security investment is difficult, so appropriate investment is not being practice, and organizations are decreasing their information security investment. In addition, since the types and specification of information security measures are diverse, it is difficult to compare and evaluate the information security countermeasures objectively, and there is a lack of decision-making methods about information security investment. To develop the organization, policies and decisions related to information security are essential, and measuring the effect of information security investment is necessary. Therefore, this study proposes a method of constructing an investment portfolio for information security measures using game theory and derives an optimal defence probability. Using the two-person game model, the information security manager and the attacker are assumed to be the game players, and the information security countermeasures and information security threats are assumed as the strategy of the players, respectively. A zero-sum game that the sum of the players' payoffs is zero is assumed, and we derive a solution of a mixed strategy game in which a strategy is selected according to probability distribution among strategies. In the real world, there are various types of information security threats exist, so multiple information security measures should be considered to maintain the appropriate information security level of information systems. We assume that the defence ratio of the information security countermeasures is known, and we derive the optimal solution of the mixed strategy game using linear programming. The contributions of this study are as follows. First, we conduct analysis using real performance data of information security measures. Information security managers of organizations can use the methodology suggested in this study to make practical decisions when establishing investment portfolio for information security countermeasures. Second, the investment weight of information security countermeasures is derived. Since we derive the weight of each information security measure, not just whether or not information security measures have been invested, it is easy to construct an information security investment portfolio in a situation where investment decisions need to be made in consideration of a number of information security countermeasures. Finally, it is possible to find the optimal defence probability after constructing an investment portfolio of information security countermeasures. The information security managers of organizations can measure the specific investment effect by drawing out information security countermeasures that fit the organization's information security investment budget. Also, numerical examples are presented and computational results are analyzed. Based on the performance of various information security countermeasures: Firewall, IPS, and Antivirus, data related to information security measures are collected to construct a portfolio of information security countermeasures. The defence ratio of the information security countermeasures is created using a uniform distribution, and a coverage of performance is derived based on the report of each information security countermeasure. According to numerical examples that considered Firewall, IPS, and Antivirus as information security countermeasures, the investment weights of Firewall, IPS, and Antivirus are optimized to 60.74%, 39.26%, and 0%, respectively. The result shows that the defence probability of the organization is maximized to 83.87%. When the methodology and examples of this study are used in practice, information security managers can consider various types of information security measures, and the appropriate investment level of each measure can be reflected in the organization's budget.

A Study on the Difference of Technological Absorption Level in the Foreign Direct Investment Companies (외국인투자기업에 있어서의 기술흡수도차에 관한 연구)

  • 용세중
    • Journal of the Korean Operations Research and Management Science Society
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    • v.8 no.1
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    • pp.5-10
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    • 1983
  • Foreign direct investment is considered to be one of the important technology transfer channels from advanced countries to less developed countries. The purpose of the study is to find the answers for the problems: if there is any difference of technology absorption level between the foreign affiliate companies, and what are the major factors which explain the difference. It is shown that the technology absorption level of foreign affiliate company is negatively related to the management control level by foreigners, to the rate of exportation, but positively related to the number of competing company and to the nature of generality of the technology.

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Analysis of R&D efficiency for IT SMEs (IT 중소기업의 연구개발투자 효율성 분석)

  • Seo, Hwan-Ju;Gang, Seong-Jin;Kim, Jeong-Eon
    • Journal of Technology Innovation
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    • v.16 no.2
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    • pp.41-63
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    • 2008
  • Employing firm-level data during the period of 1980-2006, this paper analyzes the R&D efficiency of IT SMEs. We focus on comparing the R&D efficiency of IT SMEs with that of large-sized IT firms and non-IT SMEs. The results are summarized as follows. First, the R&D investment of IT SMEs has not been increased since 2000. In IT manufacturing industry, the portion of the R&D investment of IT SMEs is no more than 10.6% in 2005. Second, we analyze the innovation capacity of SMEs with the number of the patent application. The result is similar with the trend of R&D investment. The portion of the patent application of SMEs has not been increased since 2000. Third, the R&D efficiency of non-IT firms is higher than that of IT SMEs regardless of the firm size. The R&D efficiency of non-IT SMEs is over three times as large as that of IT SMEs. Meanwhile, The R&D efficiency of the large-sized non IT firms is 1.86 times as large as that of IT large-sized firms. Finally, we estimate the R&D elasticity and compare between IT manufacturing and service industry. The result shows that the R&D elasticity of IT service industry is higher than that of IT manufacturing industry, regardless of firm size.

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A Study of Financial Performance using DuPont Analysis in Food Distribution Market

  • Kim, Hak-Seon
    • Culinary science and hospitality research
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    • v.22 no.6
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    • pp.52-60
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    • 2016
  • This study attempts to measure the financial performance of the food distribution company. In order to achieve the goal, this study have measured the ratios of ROE, ROA applying the DuPont analysis, which have been demonstrated with tables to show the change periodically. DuPont analysis is based on analysis of Return on Equity (ROE) & Return on Investment (ROI). The return on equity disaggregate performance into three components: Net Profit Margin, Total Asset Turnover, and the Equity Multiplier. The return on investment consists of Assets Turnover (Operating Income${\times}$Total Assets) and Profit Margin (EBIT${\times}$Operating Income). From the study it if found that Hyundae Green Food's Financial performance is high followed by Foodmerce and then Dongwon home food and Lotte Food. The four companies are significant at their level. In conclusion, ROE & ROI is the most comprehensive measure of profitability of a firm. It considers the operating and investing decisions can be made as well as the financing and their leverage-related decisions.

Level Shifts and Long-term Memory in Stock Distribution Markets (주식유통시장의 층위이동과 장기기억과정)

  • Chung, Jin-Taek
    • Journal of Distribution Science
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    • v.14 no.1
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    • pp.93-102
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    • 2016
  • Purpose - The purpose of paper is studying the static and dynamic side for long-term memory storage properties, and increase the explanatory power regarding the long-term memory process by looking at the long-term storage attributes, Korea Composite Stock Price Index. The reason for the use of GPH statistic is to derive the modified statistic Korea's stock market, and to research a process of long-term memory. Research design, data, and methodology - Level shifts were subjected to be an empirical analysis by applying the GPH method. It has been modified by taking into account the daily log return of the Korea Composite Stock Price Index a. The Data, used for the stock market to analyze whether deciding the action by the long-term memory process, yield daily stock price index of the Korea Composite Stock Price Index and the rate of return a log. The studies were proceeded with long-term memory and long-term semiparametric method in deriving the long-term memory estimators. Chapter 2 examines the leading research, and Chapter 3 describes the long-term memory processes and estimation methods. GPH statistics induced modifications of statistics and discussed Whittle statistic. Chapter 4 used Korea Composite Stock Price Index to estimate the long-term memory process parameters. Chapter 6 presents the conclusions and implications. Results - If the price of the time series is generated by the abnormal process, it may be located in long-term memory by a time series. However, test results by price fixed GPH method is not followed by long-term memory process or fractional differential process. In the case of the time-series level shift, the present test method for a long-term memory processes has a considerable amount of bias, and there exists a structural change in the stock distribution market. This structural change has implications in level shift. Stratum level shift assays are not considered as shifted strata. They exist distinctly in the stock secondary market as bias, and are presented in the test statistic of non-long-term memory process. It also generates an error as a long-term memory that could lead to false results. Conclusions - Changes in long-term memory characteristics associated with level shift present the following two suggestions. One, if any impact outside is flowed for a long period of time, we can know that the long-term memory processes have characteristic of the average return gradually. When the investor makes an investment, the same reasoning applies to him in the light of the characteristics of the long-term memory. It is suggested that when investors make decisions on investment, it is necessary to consider the characters of the long-term storage in reference with causing investors to increase the uncertainty and potential. The other one is the thing which must be considered variously according to time-series. The research for price-earnings ratio and investment risk should be composed of the long-term memory characters, and it would have more predictability.

Assessment of National Contribution of Research Facilities via the System Dynamics Method (시스템 다이나믹스 기법을 활용한 국가 연구시설의 기여도 분석)

  • 김지용;곽상만;최기련
    • Proceedings of the Korean System Dynamics Society
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    • 2004.02a
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    • pp.109-128
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    • 2004
  • A system dynamics model is developed in order to evaluate the contribution level of the activities regarding HANARO, which is the research reactor in Korea. The system dynamics model has room to be improved, but it is logically sound enough to evaluate the general level of contributions and to develop strategies for the HANARO to be more contributable. Considering the uncertainty involved with the input variables, the contribution level is ranged from 3 times to about 30 times of the investment made on it. The evaluation results can be summarized as follows : (Table Omitted).

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