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作者:Levitt, RE; Thomsen, J; Christiansen, TR; Kunz, JC; Jin, Y; Nass, C
作者单位:Stanford University; Stanford University; University of Southern California; Stanford University
摘要:The Virtual Design Team (VDT) extends and operationalizes Galbraith's (1973) information-processing view of organizations. VDT simulates the micro-level information processing, communication, and coordination behavior of participants in a project organization and predicts several measures of participant and project-level performance. VDT-1 (Cohen 1991) and VDT-2 (Christiansen 1993) modeled project organizations containing actors with perfectly congruent goals engaged in complex but routine eng...
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作者:Cheng, F; Sethi, SP
作者单位:International Business Machines (IBM); IBM USA; University of Texas System; University of Texas Dallas
摘要:In this paper, we use a Markov decision process (MDP) to model the joint inventory-promotion decision problem. The state variable of the MDP represents the demand state brought about by changing environmental factors as well as promotion decisions. The demand state in a period determines the distribution of the random demand in that period. Optimal inventory and promotion decision policies in the finite horizon problem are obtained via dynamic programming. Under certain conditions, we show tha...
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作者:Campa, JM; Guillén, MF
作者单位:New York University; Institute for Advanced Study - USA; University of Pennsylvania
摘要:Firms make strategic choices about foreign market access on the basisof location factors in the home and export countries, as well as on their ownership advantages. The empirical analysis is based on a sample of 837 manufacturing companies in a typical middle-income country (Spain), in which firms are starting to internationalize through investments or alliances in distribution. Following theoretical expectations, the greater the level of such ownership factors as intangible technological asse...
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作者:Kleinman, NL; Spall, JC; Naiman, DQ
作者单位:Johns Hopkins University; Johns Hopkins University Applied Physics Laboratory; Johns Hopkins University
摘要:The method of Common Random Numbers is a technique used to reduce the variance of difference estimates in simulation optimization problems. These differences are commonly used to estimate gradients of objective functions as part of the process of determining optimal values for parameters of a simulated system. asymptotic results exist which show that using the Common Random Numbers method in the iterative Finite Difference Stochastic Approximation optimization algorithm (FDSA) can increase the...
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作者:Sueyoshi, T
作者单位:Tokyo University of Science
摘要:This article discusses the concept of RTS (Returns To Scale) in the framework of DEA (Data Envelopment Analysis) production and cost analyses, focusing on an occurrence of multiple solutions and how to deal with such a difficulty. Dual relationships between production-based and cost-based RTS estimates are also theoretically discussed in this study.