• Title/Summary/Keyword: Investment Decision Making

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A Study on the How IT Governance Decision Making Knowledge Sharing between CEO and CIO Influences the Effectiveness of the Information Systems (IT 거버넌스 의사결정 영역에 대한 CEO와 CIO의 지식공유 정도가 정보시스템 효과성에 미치는 영향에 관한 연구)

  • Kim, Min-Sun;Hong, Shin-Hye;Lee, Jae-Bum
    • The Journal of Information Systems
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    • v.17 no.4
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    • pp.129-156
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    • 2008
  • This study empirically tested a research model and hypothesis extracted and based on IT governance and knowledge sharing theories. In this study we targeted CIO and IS managers to find the effects of the degree of knowledge sharing between CEO and CIO regarding five areas of IT governance decision-making: IT principles, IT architecture, IT infrastructure, business application needs, and IT investment and prioritization, on IT and business alignment. Additionally we studied the effects of business alignment on the effectiveness of information systems. Results showed that the degree of knowledge sharing in CEO and CIO on IT principles, IT infrastructure, IT investment and prioritization had a positive influence on IT and business alignment, ultimately showing a positive influence on the effectiveness of information systems. This research has shown that fording the preferable relationship between IT and business affected by performing high quality decision making based on knowledge sharing and consequently it also is a basis to provide a positive influence to the effectiveness of the information system.

Investment and Business Cycles: Focusing on Firms' Capital Adjustment Costs

  • NAM, CHANGWOO
    • KDI Journal of Economic Policy
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    • v.44 no.1
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    • pp.77-98
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    • 2022
  • This paper empirically verifies that the types of capital adjustment costs serve as an important mechanism in relation to investment decision-making after confirming that the investment dispersion of Korean firms is pro-cyclical and can affect business cycles. Specifically, it is found through empirical methods using corporate financial data that capital adjustment costs generally assumed to take a quadratic form in macroeconomics are asymmetric and irreversible in the Korean economy. In particular, capital adjustment costs are empirically proven to cause investment dispersion to expand given that the substitution effect of the marginal value to the marginal cost for one unit of investment in the inter-temporal investment decision is affected by that cost with regard to the resale of owned equipment assets, as opposed to new investments in equipment assets. We ultimately show, albeit indirectly, that investment dispersion can affect business cycles as capital adjustment costs influences investment decisions. What is implied is that the capital adjustment cost is not merely an exogenously deep parameter that fits the dynamics of business cycles in a macroeconomic model but could instead be a policy variable that can be endogenized through government policies.

Design and Implementation of Educational Decision Support System Model

  • Shin, Hyun-Kyung
    • Journal of The Korean Association of Information Education
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    • v.9 no.2
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    • pp.167-176
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    • 2005
  • It has been an important agenda to acquire effective decision making procedure for various issues occurred in education area. As an example, when it comes for the ministry of education to make a decision on such an issue that proper investment, to enhance information of education area, in national wide elementary schools, an effective decision making procedure will aid to establish right way of investment. Currently, the questionnaires gathered from school teachers or the related professional consultants are the only resources in order for making such a critical and important decision. Recently, however, educational, medical, and financial industries are looking forward the best decision making method integrated with rapidly upgraded modern IT technologies using the various resources and tools which they already possess. With this subject in mind, in this paper we present a generic decision making model applying ADALINE neural network. The model can be easily adapted to various problems arising in education area. We proved the model through simulations with realistic sample data.

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Investment Ranking Decision Using MCDA in Dam Projects (MCDA 기법을 이용한 댐사업의 투자우선순위 결정)

  • Kim, Woo-Gu;Lee, Gwang-Man;Park, Doo-Ho
    • Journal of Korea Water Resources Association
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    • v.39 no.12 s.173
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    • pp.1067-1080
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    • 2006
  • In empirical evaluations of public projects and public provided goods, MCDA(multicriteria decision-making analysis) has helped decision makers with an adequate policy decision-making tool since it allows taking into account a wide range of assessment criteria. As a tool for decision-making of conflict management, MCDA has demonstrated its usefulness in many public projects such as road, dam and harbor construction. In this study, to use this merit of MCDA, dam project assessment indicators from points of social, economic, environmental and practical views are developed based on sustainable development of water resources, and weighting factors are also estimated by means of questionnaire survey. In order to decide project investment rank, developed evaluation indicators are applied to 6 existing dams under investigation for a rehabilitation project. In addition to, it is recognized that the project practicability has become more important indicator as well as environmental and social issues. This is because cooperation and support from a local government and people are regarded as one of the most important problems in public projects recently.

Real Option Decision Tree Models for R&D Project Investment (R&D 프로젝트 투자 의사결정을 위한 실물옵션 의사결정나무 모델)

  • Choi, Gyung-Hyun;Cho, Dae-Myeong;Joung, Young-Ki
    • IE interfaces
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    • v.24 no.4
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    • pp.408-419
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    • 2011
  • R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

A Determination Method of the Risk Adjusted Discount Rate for Economically Decision Making on Advanced Manufacturing Technologies Investment (첨단제조기술 투자의 경제적 의사결정을 위한 위험조정할인율의 결정방법)

  • 오병완;최진영
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.51
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    • pp.151-161
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    • 1999
  • For many decades, Deterministic DCF approach has been widely used to evaluate investment opportunities. Under new manufacturing conditions involving uncertainty and risk, the DCF approach is not appropriate. In DCF, Risk is incorporated in two ways: certainty equivalent method, risk adjusted discount rate. This paper proposes a determination method of the Risk Adjusted Discount Rate for economically decision making advanced manufacturing technologies. Conventional DCF techniques typically use discount rate which do not consider the difference in risk of differential investment options and periods. Due to their relative efficiency, advanced manufacturing technologies have different degree of risk. The risk differential of investments is included using $\beta$ coefficient of capital asset pricing model. The comparison between existing and proposed method investigated. The DCF model using proposed risk adjusted discount rate enable more reasonable evaluation of advanced manufacturing technologies.

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Economic Evaluation far the Application of the Distribution Automation System (배전자동화시스템 적용을 위한 경제성 평가)

  • Hong, Soon-Hak;Ha, Bok-Nam;Kim, Ho-Yong;Jung, Kyung-Hee
    • Proceedings of the KIEE Conference
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    • 1993.07a
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    • pp.36-38
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    • 1993
  • This study considers the economic aspect of the distribution automation system, which is the decision-making criteria of the electric utilities for the investment. The feeder automation candidate region is divided into two types of the urban and the rural. The total investment cost of the feeder automation for each type is estimated. The annual cost, is also estimated, by finding the fixed charge rate. To compare the annual cost and the economic effect cost, for the investment decision-making, the costs are quantitatively estimated on the following effects : the manpower replacement, the outage cost saving, the main transformer utilization improvement, the feeder utilization improvement, and the line loss reduction.

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Optimal Investment Strategy for Research and Development Considering Dynamic Complexity (동태적 복잡성을 고려한 최적의 연구개발 투자 전략)

  • Son, Jiyoon;Kim, Hyun Jung;Kim, Soo Wook
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.4
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    • pp.19-33
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    • 2015
  • Recently, interest in research and development (R&D) investment decisions have increased among Korean domestic enterprises. However, existing R&D investment studies only focused on government R&D investment policies while only a few studies investigated firm level R&D investment. Prior literatures also overlooked the feedback loop between R&D investment and firm performance. Therefore, this paper identifies a system dynamics model for R&D investment decision making in domestic electronics firms. The conceptual model is derived from R&D investment-related theories found in bodies of literature on company performance, enterprise activity, and market maturity. This study investigates the dynamic feedback between R&D activities and sales using the system dynamics model. In other words, the system dynamics model is used to explain the change in the closed feedback circulation structure in R&D investment activities including technology development, production process, and marketing that subsequently result in sales increase and re-investment into R&D from the generated revenues. There are two major results. First, a similar ratio of investment on technology development and production process derives the higher company sales. Second, regardless of market maturity, marketing investment ratio positively affects sales and R&D budget growth. This study provides a system dynamics model to find the optimal ratio for R&D investment and suggests managerial strategic implications on electronic firm R&D investment decision making under market maturity condition.

A Study on the Factors Affecting Investment Decision of Korean Venture Capitalist (한국 벤처캐피탈리스트의 투자결정에 미치는 요인 연구)

  • Koo, JungHwe;Kim, YoungJun;Lee, SuYong;Kim, Dohyeon;Baek, Jiyeon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.4
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    • pp.1-18
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    • 2019
  • Venture capitalists (VCs) play an important role in finding and growing innovative venture companies with high growth potential but high risk. Venture capital investment does not depend on the system, unlike the investment for listed companies. Korea's venture capital industry has entered a period of growth, but lack of data has led to a lack of research on venture capital. Based on this background, this study attempts to analyze various factors affecting investment decision criteria of Korea VCs. In this study, I examined the major factors that VCs consider in decision making of investment through literature review, and I have drawn the research question accordingly. I will focus on the characteristics of founders, products / services, markets, financials, and networks that scholars share common investment decision criteria in Korean VCs. For the purpose of this study, the data were collected through the questionnaire surveyed by investment vetters working in current venture capital and analyzed using AHP analysis. Through this study, I tried to understand the Korean venture capital which has been poorly studied and what criteria and priorities Korean VCs make investment decisions in the Korean venture investment environment. The results of this research will contribute to the vitalization of venture investment, which is important for the upbringing of companies, by providing guidelines for establishing investment attraction strategies of venture companies.

Development of MCDM for the Selection of Preferable Alternative and Determination of Investment Priority in Water Resource Projects (수자원사업 대안선정 및 투자우선순위결정을 위한 다기준의사결정모형 개발)

  • Yeo, Kyudong;Kim, Gilho;Lee, Sangwon;Choi, Seungan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.6B
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    • pp.551-563
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    • 2011
  • Water resource projects need an enormous national budget. Therefore, a reasonable and reliable decision making is required for the planning of water resource projects, but decision making has been mostly performed by economic analysis. The objective of this study is to develop a Multi-criteria Decision Making(MCDM) model which can assess the project in various aspects for the selection of preferable alternative and determination of investment priority in water resource projects. In this study, the criteria involves economic feasibility, policies, vulnerability, and sub-items which have weights obtained from the expert survey for the consistent evaluation. We also derived the utility function considering risk trend of each item based on the expert survey. Then, the total score was estimated by weights of each item and utility score of each attribute. The results show that vulnerability is a major contributor for the criteria. This study will contribute to the selection of proper water resource projects considering efficiency of project and fairness for vulnerable area.