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ERP 서비스 도입 시 국내 물류기업의 실물옵션 활용 수준에 대한 실증 연구
김태하,남승현 한국데이터전략학회 2019 Journal of information technology applications & m Vol.26 No.6
This work examines whether IT managers adopt of real options such as defer, expand, contract, and abandon in order to cope with ERP risks, which include technological risk, relationship risk with SW vendors, economic risk, and security risk. We collect data of logistics firms in Seoul and its suburbs in 2018 to empirically validate the effect of risks upon the adoption of real options. The results suggest that IT managers adopt all 4 options when facing economic risk and adopt contract and abandon options only when facing security risk. Additionally, we find that IT managers prefers expand option and avoid abandon option when they think ERP compatibility is high.
의사결정 집중화 수준과 불확실성이 실물옵션 활용에 미치는 영향에 대한 연구 : 국내 중소기업 클라우드 서비스 도입에 대한 연구
김태하,남승현,양희동 한국데이터전략학회 2017 Journal of information technology applications & m Vol.24 No.4
We question whether Korean IT managers consider real options to reduce risks of cloud service implementation. This work investigates the impact of technology risk, relationship risk, economy risk, security risk upon the intention of IT managers to utilize abandon & expansion options. We also analyze moderation effect of centralization level of decision making between these risks and the utilization of real options. Using the survey questionnaire, we empirically find that technology risk, relationship risk and security risk have significant effect upon abandon option and technology risk, relationship risk, and economy upon expansion option. We also find the evidence that centralization level moderates some risks and the direction of moderation effect is to offset the effect of risks on intention to utilize real options.
적응적 신호 크기 예측을 이용한 G.711 패킷 손실 은닉 알고리즘의 성능향상
김태하,이인성,Kim, Tae-Ha,Lee, In-Sung 한국음향학회 2015 韓國音響學會誌 Vol.34 No.5
본 논문에서는 G.711 패킷 손실 은닉 알고리즘의 성능향상을 위해 적응적 신호 크기 예측을 사용하는 패킷 손실 알고리즘을 제안한다. 기존의 방법은 연속 손실이 발생하였을 때 20 %의 감쇠인자를 가지고 이득조절을 수행하였다. 그러나 이 방법은 신호의 변화를 고려하지 않기 때문에 신호가 왜곡되는 경우가 발생한다. 따라서 Least Mean Square(LMS) 예측기를 사용하여 이전과 이후 프레임의 정보를 통한 적응적 신호 크기 예측으로 이득을 조절하는 것을 제안한다. 제안된 알고리즘의 성능 평가는 Perceptual Evaluation of Speech Quality(PESQ) 평가를 통하여 나타내었다. In this paper, we propose Packet Loss Concealment (PLC) method using adaptive signal scale estimation for performance improvement of G.711 PLC. The conventional method controls a gain using 20 % attenuation factor when continuous loss occurs. However, this method lead to deterioration because that don't consider the change of signal. So, we propose gain control by adaptive signal scale estimation through before and after frame information using Least Mean Square (LMS) predictor. Performance evaluation of proposed algorithm is presented through Perceptual Evaluation of Speech Quality (PESQ) evaulation.
Economic Evaluation of IT Investments for Emergency Management:A Cost-centric Control Model
김태하,이영재 한국데이터전략학회 2008 Journal of information technology applications & m Vol.15 No.3
In an emergency management case, evaluating the economic value of information technology investments is a challenging problem due to the effects of decision making, uncertainty of disasters, and difficulty of measurements. Risk assessment and recovery process, one of the major functions in emergency management, consists of (1) measurement of damages or losses, (2) recovery planning, (3) reporting and approving budgets, (4) auctioning off recovery projects to constructors, and (5) construction for the recovery. Specifically and of our interest, measurement of damages or losses is often a costly and time-consuming process because the wide range of field surveys should be performed by a limited pool of trained agents. Managers, therefore, have to balance accuracy of the field survey against the total time to complete the survey. Using information technologies to support field survey and reporting has great potential to reduce errors and lowers the cost of the process. However, existing cost benefit analysis framework may be problematic to evaluate and justify the IT investment because the cost benefit analysis often include the long-run benefit of IT that is difficult to quantify and overlook the impact of managerial control upon the investment outcomes. Therefore, we present an alternative cost-centric control model that conservatively quantifies all cost savings to replace benefits in cost benefit analysis and incorporate the managerial control. The model provides a framework to examine how managerial decision making and uncertainty of disaster affect the economic value of IT investments. The current project in Emergency Agency in South Korea is introduced as a case to apply the cost-centric control model. Our work helps managers to better evaluate and justify IT-related investment alternatives in emergency management.