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CORPORATE GOVERNANCE : 특별소송위원회의 역할
Murdock, Charles W. 東國大學校 大學院 法學科 商事法 1998 商事法 세미나 Vol.4 No.-
특별소송위원회의 결정을 검토함에 있어, 법원들은 “1차결정”에 하자가 있는 것으로 간주하여서 제기되는 소송을 기각(dismiss)하고자 할 때 위원회가 내린 “2차결정”에 경영판단의 원칙을 일반적으로 적용한다. 모든 법원들이 위원회의 독립성과 신뢰, 절차의 적법성을 요구할 수 있는 반면, 왜 위원회가 그 소송이 기각되어야 한다고 믿는지에 대해 주요한 이유들을 법원이 위원회에 요구할 수 있는지 없는지에 따라서 법적논쟁이 생기게 된다. 이 글은 구조적인 편견을 분석하고 원고가 재판과정에서 가지는 절차적 권리와 위원회관계에서 결여되기 쉬운 절차적 권리를 비교한다. 결론은 Auerbach가 검토의 기준이 될 수 없고, “1차결정”의 하자가 주의의무와 관계있다는 Zapata가 채택될 수 있는 기준이며, 근본적 하자가 충실의무의 태만을 포함할 때에는 위원회에 대하여 존중할 필요가 없다는 것이다.
OVERREACTION OF STOCKS IN RUSSIAN STOCK MARKET
Marina Murdock People&Global Business Association 2008 Global Business and Finance Review Vol.13 No.1
This paper examines whether there is u distinct trend of over or underreaction of stocks in the Russian stock market. The study also examines the factors that affect the degree of over or underreaction. Stocks trading on MICEX exchange exhibit overreaction to external shocks. More liquid stocks (with higher 30 day average trading volumes prior to the event) experience a smaller degree of overreaction than less liquid stocks. Attempts to overhaul the legislation that regulates stock market did nut contribute to mvestors' confidence and liquidity of stocks.
Teaching and Learning Creatively with the Torrance Incubation Model: A Research and Practice Update
Mary C. Murdock,Susan Keller-Mathers 대한사고개발학회 2008 The International Journal of Creativity & Problem Vol.18 No.2
This paper describes some essential elements of creative teaching and learning as exemplified in the current research and practice on the Torrance Incubation Model of Teaching and Learning (TIM). It includes an overview of the model’s teaching and learning approach, its history, and basic operating principles. The article also contains a beginning creativity skill base for specific use to integrate creativity into a variety of contents area or for teaching/training creatively in any content area. It further identifies and updates research and applied uses of the TIM to articulate how it works and with what success it has been applied.
Gerard J. Puccio,Mary C. Murdock,Marie Mance 대한사고개발학회 2005 The International Journal of Creativity & Problem Vol.15 No.2
In 1953 advertising executive Alex Osborn disseminated his views on the Creative Problem Solving (CPS) process—an approach he developed for deliberately en-hancing creativity in groups and individuals. Since then, scholars and practitioners world-wide have modified, studied and utilized Osborn’s process. In this article the authors first present research regarding the effectiveness of CPS in training and then examine the similarities and differences in select modifications of CPS (Basa-dur, 1994; Isaksen & Treffinger, 1985; Isaksen, Dorval, & Treffinger, 1994, 2000; Miller, Firestien, & Vehar, 2001; Parnes, 1967, 1988, 1992; Puccio, Murdock, & Mance 2005; Vehar, Firestien, & Miller, 1997). We then discuss two current devel-opments in CPS research and practice that are pertinent to instructional use: (a) an overview of Creative Problem Solving: The Thinking Skills Model, a teaching/ training and learning model of CPS which builds on Osborn’s original tradition; and (b) an applied person-process view of styles of CPS found in two instru-ments—The Creative Problem Solving Profile (Basadur, Graen, & Wakabayashi, 1990) and FourSight (Puccio, 2002).
Eum, H. I.,Cannon, A. J.,Murdock, T. Q. Springer Science + Business Media 2017 Stochastic Environmental Research and Risk Assessm Vol.31 No.3
<P>A number of statistical downscaling methodologies have been introduced to bridge the gap in scale between outputs of climate models and climate information needed to assess potential impacts at local and regional scales. Four statistical downscaling methods [bias-correction/spatial disaggregation (BCSD), bias-correction/constructed analogue (BCCA), multivariate adaptive constructed analogs (MACA), and bias-correction/climate imprint (BCCI)] are applied to downscale the latest climate forecast system reanalysis (CFSR) data to stations for precipitation, maximum temperature, and minimum temperature over South Korea. All methods are calibrated with observational station data for 19 years from 1973 to 1991 and validated for the more recent 19-year period from 1992 to 2010. We construct a comprehensive suite of performance metrics to intercompare methods, which is comprised of five criteria related to time-series, distribution, multi-day persistence, extremes, and spatial structure. Based on the performance metrics, we employ technique for order of preference by similarity to ideal solution (TOPSIS) and apply 10,000 different weighting combinations to the criteria of performance metrics to identify a robust statistical downscaling method and important criteria. The results show that MACA and BCSD have comparable skill in the time-series related criterion and BCSD outperforms other methods in distribution and extremes related criteria. In addition, MACA and BCCA, which incorporate spatial patterns, show higher skill in the multi-day persistence criterion for temperature, while BCSD shows the highest skill for precipitation. For the spatial structure related criterion, BCCA and MACA outperformed BCSD and BCCI. From the TOPSIS analysis, we found that MACA is the most robust method for all variables in South Korea, and BCCA and BCSD are the second for temperature and precipitation, respectively. We also found that the contribution of the multi-day persistence and spatial structure related criteria are crucial to ranking the skill of statistical downscaling methods.</P>