• 제목/요약/키워드: Financial decision-making

검색결과 412건 처리시간 0.023초

실물 옵션 이론을 활용한 효과적인 R&D 투자 전략 (Effective R&D investment strategy using real options)

  • 최재경
    • 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.

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맞벌이 주부의 취업선호 인식과 가계관리권 유형에 따른 가계재정 의사소통과 재정권력 평등도 인지 (Financial Communication and the Equality of Financial Power Perceived according to the Preferences to Housewives' Employment and the Financial Management Leadership among the Employed Housewives)

  • 김정훈
    • 한국생활과학회지
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    • 제6권1호
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    • pp.29-39
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    • 1997
  • This study was to explore the effects of the preferences to housewives' employment and the type of household financial management leadership on the financial communication and equality of financial power perceived by working wives. From results of this study, the followings were concluded: 1. Housewives' income power leaded to the increase of their financial decision-making leadership and the more active participation to the financial matters. 2. The influences of husbands' leadership on the household finance were greater than one of wives' leadership. Depending on who has the financial management leadership, there were the differences on degree of the understanding and the discretion. 3. Although joint management style was popular today. the major management leadership was belonged to husbands based on the traditional value of sex role in the household financial management area.

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The Relationship between the Control Level of Foreign Subsidiaries and Performance in the Chinese Market

  • Kim, Byoung-Goo;Kim, Gyu-Bae
    • 유통과학연구
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    • 제13권8호
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    • pp.15-25
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    • 2015
  • Purpose - There is a lack of research on how much corporate control is sufficient for effective subsidiary business-related decision making. To address this research gap, this study analyzes the impact of the level of control of a Korean corporation's headquarters on its overseas subsidiary performance. Research design, data, methodology - The study's sample comes from the Overseas Korean Business Directory of KOTRA. A multiple regression analysis empirically confirmed the relationship between the headquarters level of control over the subsidiaries and their performance. Results - The results show that the greater an organization's headquarters control over strategic issues, the greater the subsidiary's non-financial performance. However, quick decision-making through decentralization promotes the rapid selection of successful new products that can provide a competitive advantage. Conclusion - This study shows that the impact of control levels on subsidiary performance depends on the type of control involved. Specifically, while low levels of control over operational issues had a positive (+) influence on subsidiary non-financial performance, high control levels led to improved non-financial performance with regard to strategic issues among the subsidiaries.

관계금융이 중소기업의 수출에 미치는 영향에 관한 연구 (Relationship Banking and Exports: Evidence from SMEs in the Korean Stock Markets)

  • 임정대
    • 무역학회지
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    • 제45권5호
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    • pp.1-22
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    • 2020
  • This study explores the role of relationship banking for the exports of SMEs (small and medium sized enterprises) in Korea. Using a sample of SMEs listed on the Korean stock markets between 2004 and 2018, I find that relationship banking has a positive impact on exporting behaviors of SMEs. This result indicates that relationship banking is suitable for SMEs to raise their funds in the export decision-making since the incentive for banks to obtain soft information enhances SMEs' access to external finance. In particular, through further analysis considering financial constraints, I find that the positive impact of relationship banking on exports is amplified for financially constrained SMEs. In addition, the positive impact on exports is also amplified for export starters. Finally, relationship banking provides benefits for SMEs' export decision-making regardless of the financial crisis. To sum up, relationship banking may be useful means of financing for Korean SMEs whose creditworthiness cannot be assessed only by hard information. As the role of finance in international trade has recently been highlighted, this study provides insightful evidence that relationship banking may enhance exports of SMEs as a source of trade finance.

Design and Implementation of Educational Decision Support System Model

  • 신현경
    • 정보교육학회논문지
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    • 제9권2호
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    • pp.167-176
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    • 2005
  • 교육현장에서 발생하는 여러 가지 의사결정 사항들을 효과적으로 처리하는 것은 매우 중요한 이슈로 부각되고 있다. 예를 들어, 교육인적자원부 입장에서 전국 초등학교를 대상으로 교육정보화 분야에 투자를 기획할 때 정확하고 효율적인 의사결정 과정은 국가적 차원에서 매우 중요한 사항인 것이다. 현재 이상과 같은 일련의 과정을 시행하기 위하여 현장의 설문조사나 관련 전문가를 활용한 기획이 이루어지고 있는 실정이 다. 그러나, 정보 기술분야의 급격한 발전으로, 의학이나 경영분야 등에서는 다양한 의사결정지원 도구 활용을 통한 최상의 의사 결정 방법을 찾고 있다. 이 같은 이유로 본 논문에서는 신경망의 ADALINE 알고리즘을 활용하여 교육분야에서 적용 가능한 의사결정 시스템 모델을 설계하였으며 또한 시뮬레이션을 통하여 구현 모델의 검증을 수행하였다. 개발된 교육용 의사결정 시스템으로 교육현장에서 발생하는 다양한 의사결정 사항들을 효과적으로 처리할 수 있을 것이다.

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시니어 창업의사결정유형과 창업지원사업이 창업성과에 미치는 영향 (The Influence of Senior Entrepreneurial Decision Making Types and Entrepreneurial Supporting Policy on Start-up Performance)

  • 유상정;양해술
    • 한국산학기술학회논문지
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    • 제17권4호
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    • pp.106-121
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    • 2016
  • 대외적으로는 글로벌 금융위기와 국내에서는 장기적인 내수경기 침체로 인하여 경제의 어려움이 가속되고 있는 가운데 우리나라는 급격한 출산율 저하와 고령사회에 진입함과 동시에 베이비부머의 정년퇴직도 본격화되고 있는 실정이다. 현재 우리 경제의 주된 중심체인 베이비붐 세대(1955-1963년 출생)가 조기 퇴직 대상이 되면서 썰물은퇴가 시작되고 있다. 이상과 같이 빠른 고령화와 조기 퇴직으로 청년실업과 함께 사회경제적으로 커다란 영향을 미치고 있는 시니어세대가 경제적인 위협에서 탈피하기 위하여 창업에 대한 관심이 날로 높아지고 있다. 이에 본 연구에서는 시니어들의 창업의사결정이 창업성공에 미치는 영향과 창업지원사업이 창업성공에 미치는 영향에 대한 상관관계 분석을 통해 두 요인 간에 어떠한 상관관계가 있는지를 살펴보았다. 설문은 소상공인지원센터의 시니어 창업지원센터와 서울산업진흥원의 장년창업센터의 지원을 받아 그 곳에서의 교육을 이수하고 경영지원을 받은 창업가 393명을 대상으로 설문조사를 실시하였다. 그 검증결과 시니어들의 창업의사결정유형에서는 합리적유형만이 창업성공의 재무적성과와 비재무적성과 모두에 정의 영향을 미치는 것으로 나타났고, 직관적유형은 비재무적성과만이 정의 영향을 미치는 것으로 나타났다. 또 정부의 창업지원사업에 있어서는 자금지원, 경영지원, 교육지원 중 경영지원만이 정의 영향을 미치는 것으로 나타났다.

Improving the Decision-Making Process in the Higher Learning Institutions via Electronic Records Management System Adoption

  • Mukred, Muaadh;Yusof, Zawiyah M.;Mokhtar, Umi Asma';Sadiq, Ali Safaa;Hawash, Burkan;Ahmed, Waleed Abdulkafi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권1호
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    • pp.90-113
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    • 2021
  • Electronic Records Management System (ERMS) is a computer program or set of applications that is utilized for keeping up to date records along with their storage. ERMS has been extensively utilized for enhancing the performance of academic institutions. The system assists in the planning and decision-making processes, which in turn enhances the competencies. However, although ERMS is significant in supporting the process of decision-making, the majority of organizations have failed to take an initiative to implement it, taking into account that are some implementing it without an appropriate framework, and thus resulted in the practice which does not meet the accepted standard. Therefore, this study identifies the factors influencing the adoption of ERMS among employees of HLI in Yemen and the role of such adoption in the decision-making process, using the Unified Theory of Acceptance and Use of Technology (UTAUT) along with Technology, Organization and Environment (TOE) as the underpinning theories. The study conducts a cross-sectional survey with a questionnaire as the technique for data collection, distributed to 364 participants in various Yemeni public Higher Learning Institutions (HLI). Using AMOS as a statistical method, the findings revealed there are significant and positive relationships between technology factors (effort expectancy, performance expectancy, IT infrastructure and security), organizational factors (top management support, financial support, training, and policy),environmental factors (competitiveness pressure, facilitating conditions and trust) and behavioral intention to adopt ERMS, which in return has a significant relationship with the process of decision-making in HLI. The study also presents a variety of theoretical and empirical contributions that enrich the body of knowledge in the field of technology adoption and the electronic record's domain.

Dominance, Potential Optimality, and Strict Preference Information in Multiple Criteria Decision Making

  • Park, Kyung-Sam;Shin, Dong-Eun
    • Management Science and Financial Engineering
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    • 제17권2호
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    • pp.63-84
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    • 2011
  • The ordinary multiple criteria decision making (MCDM) approach requires two types of input, alternative values and criterion weights, and employs two schemes of alternative prioritization, dominance and potential optimality. This paper allows for incomplete information on both types of input and gives rise to the dominance relationships and potential optimality of alternatives. Unlike the earlier studies, we emphasize that incomplete information frequently takes the form of strict inequalities, such as strict orders and strict bounds, rather than weak inequalities. Then the issues of rising importance include: (1) The standard mathematical programming approach to prioritize alternatives cannot be used directly, because the feasible region for the permissible decision parameters becomes an open set. (2) We show that the earlier methods replacing the strict inequalities with weak ones, by employing a small positive number or zeroes, which closes the feasible set, may cause a serious problem and yield unacceptable prioritization results. Therefore, we address these important issues and develop a useful and simple method, without selecting any small value for the strict preference information. Given strict information on both types of decision parameters, we first construct a nonlinear program, transform it into a linear programming equivalent, and finally solve it via a two-stage method. An application is also demonstrated herein.

Predicting Stock Liquidity by Using Ensemble Data Mining Methods

  • Bae, Eun Chan;Lee, Kun Chang
    • 한국컴퓨터정보학회논문지
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    • 제21권6호
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    • pp.9-19
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    • 2016
  • In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

GDSS for the Mobile Internet

  • Cho, Yoon-Ho;Choi, Sang-Hyun;Kim, Jae-Kyeong
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2005년도 춘계학술대회
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    • pp.283-291
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    • 2005
  • The development of mobile applications is fast in recent years. However, nearly all applications are for messaging, financial, locating services based on simple interactions with mobile users because of the limited screen size, narrow network bandwidth, and low computing power. Processing an algorithm for supporting a group decision process on mobile devices becomes impossible. In this paper, we introduce the mobile-oriented simple interactive procedure for support a group decision making process. The interactive procedure is developed for multiple objective linear programming problems to help the group select a compromising solution in the mobile Internet environment. Our procedure lessens the burden of group decision makers, which is one of necessary conditions of the mobile environment. Only the partial weak order preferences of variables and objectives from group decision makers are enough for searching the best compromising solution. The methodology is designed to avoid any assumption about the shape or existence of the decision makers's utility function. For the purpose of the experimental study of the procedure, we developed a group decision support system in the mobile Internet environment, MOBIGSS and applied to an allocation problem of investor assets.

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