物流一体化研究

物流已从内部一体化向外部一体化演化，旨在降低整个供应链的成本，以供应链的核心竞争力扩大竞争优势。本文论述了物流一体化产生的原因及对中国企业的启示。     

入世后我国第三方汽车物流企业竞争模式选择

探讨了加入WTO后我国汽车第三方汽车物流企业的竞争战略模式选择问题，认为我国第三方汽车物流企业要想在激烈的竞争环境下保持竞争优势，实现可持续发展，战略联盟模式、时基竞争模式和信息战略模式是三种可供选择的有效的主流竞争模式。     

An empirical investigation of the roles of prior knowledge and learning activities in technology transfer

This study analyzes 120 university–industry technology transfer projects. A significant positive relationship was found between the learning activities performed by the firm during the development and implementation stages of the technology transfer project and the benefits to that firm from the project. In contrast, prior knowledge of the firm about the existing technology was found to have only a marginal contribution to the project benefits. However, further exploratory analysis based on high and low levels of technical and organizational uncertainty revealed more provocative relationships.     

The role of capital investment project teams in organisational learning

The management and organisation of capital projects in the British National Health Service (NHS) is dependent upon project teams. An analysis of four case studies shows how these teams also act as agents of learning for individuals and the organisation. This article considers the process by which learning came about. In particular it identifies the ability of the project teams to develop a parallel organisation within a wider organisational context. These teams develop specific rules, roles and relationships which help individual project team members to more effectively share their knowledge with others and their organisation.     

基于战略意图的战略联盟绩效评价指标体系研究

目前理论界对于企业战略联盟绩效评价的研究,大多数都是使用单纯的财务绩效指标对联盟的绩效进行评价。本文提出,联盟的绩效评价首先应当从组成联盟的企业的各自角度出发。其次由于不同的战略联盟的战略意图相差迥异,应当从战略联盟建立的战略意图出发,来设计评价战略联盟绩效的指标体系。首先对战略联盟各种战略意图作了一个系统的分析,然后提出一套基于战略意图的联盟绩效的评价指标体系,并给出了一种定量评价方法。     

Technological change in energy systems: Learning curves, logistic curves and input-output coefficients

Learning curves have recently been widely adopted in climate-economy models to incorporate endogenous change of energy technologies, replacing the conventional assumption of an autonomous energy efficiency improvement. However, there has been little consideration of the credibility of the learning curve. The current trend that many important energy and climate change policy analyses rely on the learning curve means that it is of great importance to critically examine the basis for learning curves. Here, we analyse the use of learning curves in energy technology, usually implemented as a simple power function. We find that the learning curve cannot separate the effects of price and technological change, cannot reflect continuous and qualitative change of both conventional and emerging energy technologies, cannot help to determine the time paths of technological investment, and misses the central role of R&D activity in driving technological change. We argue that a logistic curve of improving performance modified to include R&D activity as a driving variable can better describe the cost reductions in energy technologies. Furthermore, we demonstrate that the top-down Leontief technology can incorporate the bottom-up technologies that improve along either the learning curve or the logistic curve, through changing input-output coefficients. An application to UK wind power illustrates that the logistic curve fits the observed data better and implies greater potential for cost reduction than the learning curve does.     

Learning by doing,spillovers and shakeouts

This paper studies industry evolution driven by non strategic learning by doing and spillovers. We characterize a dynamic process of cost and output changes and its effect on welfare and industry profits. The paper gives conditions for shakeouts to occur and analyzes the key factors affecting these conditions. Since shakeouts could lead to a long-run social loss due to higher market concentration, there is a role for a government to play in limiting unnecessary shakeouts. The most effective way to do so is to enhance spillovers.JEL Classification: L11, L13, O31Correspondence to: Michael TroegeWe would like to thank Hans Mewis, Christophe Moussu and an anonymous referee for valuable comments and suggestions. We also benefited from comments of seminar participants at WZB, Humboldt University, Northwestern University and the EEA/ESEM 1999 meetings. Part of the research was carried out while Michael Tröge was visiting Northwestern University. Financial support by the German Research Council (DFG) is gratefully acknowledged.     

Selection dynamics and adaptive behavior without much information

This paper uses the experimental method to investigate behavior in a coordination game when the information available to subjects is limited to their feasible choices and their experienced payoffs. In the experiment subjects converge to an absorbing state at rates that are orders of magnitude faster than reinforcement learning algorithms, but slower than under complete information. This state is very close to a mutual best response outcome. All cohorts converged to the market statistic predicted by the interior equilibrium regardless of the information conditions or the stability conditions. Eric Battalio programmed the graphical user interface. The National Science Foundation and Texas Advanced Research Program provided financial support. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Texas Advanced Research Program.     

基于战略联盟的第三方物流供应商管理研究

第三方物流供应商（TPLP）战略联盟的建立是提高第三方物流企业竞争优势的重要途径，对TPLP的发展有着重要意义。适合TPLP的战略联盟模式有：联盟生产制造企业、联盟零售企业、与其它TPLP联盟、以及TPL与生产商和零售商的联盟。TPLP的战略联盟管理是一个动态的过程，为了稳固和发展联盟的伙伴关系，就要注重TPLP战略联盟伙伴的选择、规避战略联盟风险、加强交流沟通，实现多层次合作以及对联盟的业绩进行评估。     

新经济下战略联盟合作伙伴选择新机制

在经济全球化和技术经济高速发展的市场经济下,战略联盟发展显现出新的发展趋势。我们必须在联盟合作伙伴选择方面发展一种新的方法以更好地适合联盟的发展。本文在结合传统联盟伙伴选择的基础上,提出更加适合竞争环境下的联盟合作伙伴选择新机制。