利用信息技术获取竞争优势

本文从波特的竞争优势理论出发,依据企业价值链基本活动和五大竞争作用力与竞争优势的关系,从五个方面具体分析了信息技术的利用将如何帮助企业成功获取竞争优势,并说明信息技术只是一种手段和工具,企业必须走出信息技术的误区,在应用信息技术的同时,依靠管理和创新获取竞争优势。此外,企业还应该重视相应的组织变革和人才的管理。     

新创企业持续竞争优势研究

能够适应动态环境的竞争战略是新创企业获得竞争优势的基础,动态能力是在动态环境下创造、维持和提升持续竞争优势的有效手段,对动态竞争战略的实施有显著的促进作用。新创企业应在动态竞争条件下注重战略与能力的互动,从而赢得持续竞争优势。     

基于兼容性的企业IT能力匹配研究

基于资源观理论的IT能力并不能为企业带来持续的竞争优势。IT能力由核心IT能力与基本IT能力构成,企业能否获得持续竞争优势取决于企业IT能力匹配。基于消费者理论,文章利用Stackelberg模型研究了企业之间的不同阶层的IT能力要素匹配,如果竞争企业对IT服务标准选择了高兼容度策略时,在位企业只能通过扩大核心IT能力优势,以获得纵向差异化竞争优势;如果竞争企业对IT服务标准选择了低兼容度策略时,其将提升自己的核心IT能力,而在位企业只需要保持核心IT能力优势,就可以获得竞争优势。两种竞争优势可以相互转化,使竞争优势具有持续性、动态性。     

IT资源与持续竞争优势——基于企业资源观的述评

应用可持续性分析工具——企业资源观(RBV),对信息技术(IT)资源与持续竞争优势的关系进行理论评述。分别就IT有形资源、IT无形资源、IT人力资源及其互补作用对持续竞争优势的贡献做了详细的分析。研究表明,要取得一定的有竞争力的IT资源,需要企业花费相当多的时间精力去学习和积累。IT资源具有高度的社会复杂性,难以模仿和复制,可以成为持续竞争优势的源泉。该研究为IT与持续竞争优势关系的进一步深入研究提供了理论基础。     

动态能力理论在信息系统领域的应用

现代企业正处于快速变化的竞争环境中,为此,研究在快速变化环境下的企业竞争优势的形成,成为近年来企业理论的热点问题。随着信息技术在企业内的广泛应用,信息技术促进了企业感知、获取和整合外部的信息与知识,使企业能够不断地获取新的知识,从而获得可持续的竞争优势。企业是一个能力的集合,信息系统在这个过程中促进了企业动态能力的获得。探讨信息系统、企业动态能力和核心竞争力之间的作用关系,为未来企业战略理论和信息系统研究,提供了重要的理论指导。     

智力资本驱动的动态能力与企业竞争优势实现机理研究

总结和甄别了中国环境下企业智力资本的内涵要素与结构,并在此基础上构建了在超竞争环境下企业竞争优势的动态实现模型,通过分析企业智力资本、动态能力及战略与竞争优势之间的相互作用机理,以寻求企业竞争优势的“内在逻辑”及其持续根源,从而为企业自觉而有效地管理智力资本、获取竞争优势提供理论依据。     

基于技术创新战略的企业竞争优势分析

为了实现长远发展的目标 ,企业要选择一种竞争战略使其获得一种理想的竞争地位 ,同时要选择一种技术创新战略使其获得技术优势 ,这两种战略的协调运作日益重要 ,本文主要探讨了企业如何整合竞争战略和技术创新战略 ,获得竞争优势。     

坚持技术创新提升企业核心竞争力

正构建企业核心竞争力,就是要将潜在的核心能力转化成现实的核心能力。企业核心竞争力作用发挥实质上就是把人力资源配置、市场定位、商品推陈出新、发展战略定位、创新能力、驾驭市场能力等一切可以调动的、积极性的条件进行有益结合。对于一个企业来说,持续竞争优势是竞争优势中最为关键和重要的部分,为了获得持续竞争优势,企业必须在自身所拥有的独特竞争力中寻找那些难以模仿、又难以替代的部分,只有建立在这     

信息化时代旅游企业竞争优势战略探析

旅游业和信息技术相结合的旅游电子商务是旅游业信息化的高级形式,它已经成为信息化时代旅游企业竞争战略的重要手段。本文就旅游企业电子商务的竞争优势,提出了培育信息化经营理念和现代企业文化、开展信息化业务流程再造与重组,构建旅游企业内部组织竞争优势;发展区域网络虚拟集团、走专业化、个性化的竞争优势战略,构建企业外部市场竞争优势。     

知识与企业持续竞争优势

企业的竞争优势是企业在有效的市场向消费者提供具有价值的产品的过程中超越其他竞争对手的能力，主要表现为企业优于产业平均水平的经营业绩．知识作为企业持续竞争优势的源泉的原因一方面是由于企业具有的知识存量的类型和特性决定的，即具有意会性、过程性的知识与复杂性、相互关联性特点作用产生“原因模糊”使其难以观察和模仿；另一方面在于路径依赖性和历史依存性，使竞争优势得以保持和扩大．此外，企业持续竞争优势还必须依赖于企业这种知识保护的制度，即企业提供一种“隔离机制”以保护企业的知识创新不被竞争对手盗用或模仿．     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.