• International Area Studies Review
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• v.20 no.4
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• pp.121-145
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• 2016

The purpose of this study is to identify the strategy of alliance portfolio and to compare the firm's characteristics and internal capabilities of each strategy for the successful utilization of alliance. We conducted a cluster analysis and ANOVA on 477 samples, which have alliance experience among the manufacturers responding to the Business Survey by Statistical Office in both 2012 and 2013. As a result of the analysis, it was found that firms have alliance portfolio based on strategy such as exploration, exploitation, and ambidextrity. There are statistically significant differences in the number of patents, technology capability, marketing capability, and global capability among the alliance portfolio strategy type.

• Proceedings of the Technology Innovation Conference
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• 2005.02a
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• pp.3-21
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• 2005

기업은 경쟁력 강화를 위해 지속적으로 프로젝트에 자원을 투자해야 하지만 기업의 물리적, 재정적 제약으로 인해 제안된 모든 프로젝트에 자원을 투자할 수가 없다. 따라서 기업의 장기적인 생존을 위해서는 프로젝트 포트폴리오의 최적선정이 필수적 과제이다. 이러한 중요성에 대한 인식으로 현재까지 많은 프로젝트포트폴리오 선정 방법들이 개발되었으나, 프로젝트 포트폴리오 선정을 지원하는 통합화된 프레임워크의 설계에 대한 연구는 미약한 실정이다. 본 연구는 최적 프로젝트 포트폴리오를 선정하기 위한 프레임워크를 설계하는 것으로서 프로젝트 포트폴리오 선정을 위한 설계방법론, 기존 프로젝트 포트폴리오 선정 프레임워크에 대한 분석 및 새로운 프로젝트 포트폴리오 선정 프레임워크의 설계에 대해 서술한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.1
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• pp.214-220
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• 2008

This study aims to design a digital portfolio assessment system in ubiquitous computing(DPASUbi). To achieve that goal, the following issues were worked: Review of various theoretical discussions on portfolio and an analysis of existing programs to select elements to be included in the DPASUbi. Educational evaluation scenarios for the DPASUbi were developed based on the elements. The system was designed on reflecting these elements, that is, learning activities, assessment and usage of portfolio, ubiquitous technology and database. This system will provide guidance on what methods and assessment procedures should be applied in the ubiquitous computing environment totally different from the conventional one. Also, The new system will be helpful in indicating what kind of techniques should be required in the real educational evaluation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1059-1062
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• 2005

본 논문에서 이론적으로 분석하고자 하는 기술포트폴리오 매트릭스는 기술매력성(계속적 개발잠재성, 응용범위, 호환가능성)과 자원강도(지배범위, 잠재성, 반응속도)에 기초한 기술투자 분석 또는 전략적 기술관리를 위한 유용한 의사결정 수단이다. 즉, 기술포트폴리오는 국내기업뿐만 아니라 현지투자기업의 연구개발과 관련된 의사결정을 위하여 활용될 수 있다. 특히, 본 연구에서는 글로벌 기업에 있어서의 본사 및/또는 현지자회사간의 기술포트폴리오 매트릭스를 분석함으로써 글로벌 기업의 기술포트폴리오 관리를 위한 방법을 제시하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1551-1556
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• 2012

This study proposes an efficient portfolio selection methodology for the listed corporations in KOSPI with consideration of managerial efficiency. For each industrial sector classified by KRX(Korea Exchange), the proposed method carries out an efficiency analysis using DEA (Data envelopment analysis) approach and for the efficient corporations filtered by DEA, construct portfolio using Markowitz's Model. In order to show the effectiveness of the proposed method, we constructed annually portfolios for 4 years (2007-2010) out of 600 listed corporations in KOSPI and KOSDAQ, and proved that our portfolios are superior to benchmark portfolios in terms of rate of returns.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.1
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• pp.17-28
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• 2019

In the financial investment management strategy, the distributed investment selecting and combining various financial assets is called portfolio management theory. In recent years, the blockchain based financial assets, such as cryptocurrencies, have been traded on several well-known exchanges, and an efficient portfolio management approach is required in order for investors to steadily raise their return on investment in cryptocurrencies. On the other hand, deep learning has shown remarkable results in various fields, and research on application of deep reinforcement learning algorithm to portfolio management has begun. In this paper, we propose an efficient financial portfolio investment management method based on Asynchronous Advantage Actor-Critic (A3C), which is a representative asynchronous reinforcement learning algorithm. In addition, since the conventional cross-entropy function can not be applied to portfolio management, we propose a proper method where the existing cross-entropy is modified to fit the portfolio investment method. Finally, we compare the proposed A3C model with the existing reinforcement learning based cryptography portfolio investment algorithm, and prove that the performance of the proposed A3C model is better than the existing one.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5809-5818
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• 2013

This study proposes a technology portfolio analysis method for technology outsourcing of pharmaceutical cooperations by applying the concepts of 'Pipeline Soundness' and 'Patent Validity'. This study also applied the developed portfolio analysis method to a 'real world case' of Amgen's acquisition of Onyx Pharmaceuticals to prove the applicability of the method to the real world cases and investigated the validity of the acquisition affair between the two companies. The results of portfolio analysis showed that Amgen's technology portfolio will be improved by acquiring Onyx Pharmaceuticals especially in cancer field which is their main field. So we concluded that Amgen's choice of Onyx pharmaceuticals as a source of technology outsourcing was reasonable. We think that the technology portfolio analysis method developed by this study will be a valuable tool for pharmaceutical cooperations for investigating their current technology status and selecting target companies for technology outsourcing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.2
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• pp.878-884
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• 2012

This study presents a portfolio selection strategy focusing on construction corporations by taking into accounts managerial efficiency and growth potential of a company. Data envelopment analysis(DEA) methodology and dividend scoring table are adopted for evaluating the managerial efficiency and growth potential of a company respectively. In order to show the effectiveness of the portfolios selected by the strategies proposed in this study, we constructed 3 portfolios for every 4 years (2007-2010) out of 56 listed construction corporations in KOSPI and KOSDAQ, and proved that our portfolios are superior to benchmark portfolios in terms of portfolio evaluation measures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.899-904
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• 2013

This paper proposes an efficient portfolio selection methodology for the listed construction corporations in KOSPI and KOSDAQ. For the construction industrial sector classified by KRX(Korea Exchange), the proposed method carries out an efficiency analysis using DEA (Data envelopment analysis) approach and for the efficient corporations filtered by DEA, construct portfolio using Markowitz's Model. In order to show the effectiveness of the proposed method, we constructed annually portfolios for 5 years (2007-2011) out of 53 listed corporations in KOSPI and KOSDAQ, and proved that our portfolios are superior to benchmark portfolios in terms of rate of returns.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.501-509
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• 2011

In this paper, we offer a new strategic Portfolio Model for national IT R&D project selection in Korea. A risk and return (R-R) Portfolio Model was developed using an objectively quantified index on the two axes of risk and return, in order to select a strategic project and allocate resources in compliance with a national IT R&D strategy. We strategize using the R-R Portfolio Model to solve the non-strategy and subjectivity problems of the existing national R&D project selection Model. We also use the quantified evaluation index of the IT technology road map (TRM) and the technology level Survey (TLS) for the subjectivity of project selection, and try to discover the weights using the analytic hierarchy process (AHP). In addition, we intend to maximize the chance for a successful national IT R&D project, by selecting a strategic Portfolio project and balancing the allocation of resources effectively and objectively.