• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2001년도 제19회 하계학술발표회 논문집
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• pp.117-130
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• 2001

R&D is the core competence of an enterprise. Furthermore, R&D requires huge capital investment and has very risky characteristics. Therefore, to be successful in R&D process, several approaches of engineering economics are used prior to decision-making. Until now, typical approaches of engineering economics such as NPV(net present value) or DCF(Discounted cash flow) have been used. But, they cannot properly capture managerial flexibility to adapt and revise later decisions in response to unexpected market development. In a constantly changing and always uncertain marketplace, managerial operation flexibility and strategic adaptability have become vital in order to successfully capitalize on favorable future investment opportunities and limit losses from adverse market development. For the alternatives of conventional static decision-making approaches, new concept of using real options is introduced. Real option theory is based on financial option's characteristics and checks every revision interval whether situation have changed favorable to decision maker or not. In advantageous situation, the decision maker has only to go on. In contrast, with unfavorable situation, he abandons the investment immediately. In this aspect, real option model is more suitable in very uncertain and dynamic business environment in that it can provide the opportunity to cope with flexibility. This paper suggests efficient and effective R&D investment strategy by using real options model. In addition, this paper compares financial options and real options.

• 융합보안논문지
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• 제9권1호
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• pp.39-44
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• 2009

보안 투자에 대한 정당성을 확보하기 위해 보안 투자에 대한 투자대비효과 분석이 반드시 요구된다. 본 논문에서는 최적의 보안 투자 의사결정을 어렵게 하는 요소들을 고려함과 동시에 투자대비효과를 정량적인 수치로 표현하여 효과적인 의사 결정을 지원할 수 있는 모델링을 제안한다. 본 모델링은 최적의 정보보안 솔루션을 선정하기 위하여 잔여 위험 수치를 판단 기준으로 활용하고, 가용한 정보보안 솔루션 중에서 정보보안 솔루션들의 위협별 대응기술들의 상관관계를 고려하여 정확성을 높여준다.

• 산업경영시스템학회지
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• 제16권27호
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• pp.113-119
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• 1993

The purpose of this study is to develop a analytic procedure of the alternatives for the FMS that consist of high-priced facilities. A procedure to analysis the alternatives are as follows. Stage one is procedure to appraise investment alternatives of FMS and devide factors into strategic, analytic, economic viewpoint and draw upon decision making matrix through normalization Stage two is appraise to normalized alternatives using TOPSIS model among multiple attributes decision making models.

• 대한안전경영과학회지
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• 제6권3호
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• pp.275-285
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• 2004

This paper aims to construct an effective decision making model on selection of product design in product development using fuzzy AHP technique. It is expected that this paper contributes to enhancement of company's market competitiveness by shortening the lead time to develop a new product and minimize initial investment. The proposed model using fuzzy AHP enables quick decision making by integrating and analyzing all customer requirements related to a product. In addition, it can deal with vagueness and uncertainty of decision making process using fuzzy set theory. Decision making processes for evaluating the best selection of product design are also constructed to describe the exact concept of development. A tennis racket is shown as an example. The proposed model is expected to be applied in various fields of managerial decision making processes as well as of product development process.

• 산업경영시스템학회지
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• 제18권34호
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• pp.51-60
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• 1995

The key competition factor of manufacturing industries has progressively changed from cost to quality and time. Recently, the manufacturing environments more rapidly change than before. So, many companies want to introduce a advanced manufacturing system like CIMS to meet various user's needs and short delivery. But there is a considerable gap between the decision to invest and the achievement of promised benefits. Managers, generally, cannot afford CIM invesment unless they can determine beforehand that CIM will work in thier company and that will provide a coherent strategy and satisfactory return on investment In many cases, it is impossible to justify CIM investment by only economical analysis. Decision making problems like CIM investment are of a multiple objective nature. So, decision making process and multiattribute utility function are very useful methods to evaluate CIM justification In this paper, we described the key functions of CIM justification evaluation using IDEF methodology and developed the applicattion procedure of DMP and MUF method for CIM justification.

• Journal of Information Technology Applications and Management
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• 제12권1호
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• pp.191-211
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• 2005

This study investigates the decision criteria used in the context of IT investment decision making and empirically analyzes the impact of IT project size and types on the importance of decision criteria. 5 criteria which have been extracted from the previous studies and industry practices are budget, financial benefits. strategic value. risk, and the degree of proposer's eagerness. Data of 120 IT project proposals have been collected from 5 companies including bank, insurance. and stock trading company. As results of ANOVA test. 7 out of 10 hypothesis have been accepted statistically. That is. the bigger the project size. the higher the evaluation weight of project budget and risk criteria and the lower the weight of proposer's eagerness. And in case of the infrastructure investment type. the emphasis is placed more on strategic value and risk criteria and less on financial benefit and proposer's eagerness. These findings provide insights for both IT practitioners and researchers.

• 정보과학회지
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• 제5권2호
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• pp.28-34
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• 1987

本 論文은 現代 投資決定論理을 바탕으로 하여, 投資決定에 따르는 數 많 은 情報와 複雜한 處理科程을 computer로 解決하는 投資決定 system을 設計함으 로서 合理的 投資決定이 이뤄지도록 이바지 하는데 目的을 두고 있다. 投資는 그 對象에 따라 設備投資, 在庫投資, 證券投資등으로 나눌 수 있으나 本 論文은 設備 投資를 中心으로 論한다.

• 유통과학연구
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• 제13권9호
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• pp.5-11
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• 2015

Purpose - The purpose of this research is to provide insights that can be used for deliberate decision making around challenging big data investments by measuring the economic value of such big data implementations. Research design, data, and methodology - We perform empirical research through an event study. To this end, we measure actual abnormal returns of companies that are triggered by their investment announcements in big data, or firm size information, during the three-year research period. The research period targets a timeframe after the introduction of big data at Korean firms listed on the Korea stock markets. Results - Our empirical findings discover that on the event day and the day after, the abnormal returns are significantly positive. In addition, our further examination of firm size impacts on the abnormal returns does not show any evidence of an effect. Conclusions - Our research suggests that an event study can be useful as an alternative means to measure the return on investment (ROI) for big data in order to lessen the difficulties or decision making around big data investments.

• 산업공학
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• 제20권3호
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• pp.267-276
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• 2007

When a company makes a decision on an investment for a new product as a source for a new program, it is not easy for them to take a proper decision-making process in this highly volatile market. There could be several ways to make an investment decision on a new program. A company needs to choose the most suitable way of investment which is reflected current corporate circumstances and potential risks. We check up the process of the engineering economic decision in a automotive part manufacturing company. We define the gap between the theory and practice on engineering economic decisions. We present advices to make a decision desirably.

• 대한안전경영과학회지
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• 제7권4호
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• pp.165-177
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• 2005

Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper provides the characteristic factors of SCM system selection and the SCM system evaluation and selection model based on Analytic Hierarchy Process(AHP). The proposed model can systematically construct the objectives of SCM system selection to support the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in selecting SCM system.