网络团购模式的创新

目前的网络团购多是由网络中介充当商家与消费者之间的桥梁,商家与消费者之间缺乏直接互动交流。针对当前网络团购运行机制的不足之处,探讨了一种新的网络团购模式,将网络团购活动分为用户发起和商家发起两类,旨在促进商家和消费者双方交流的基础上改进目前的网络团购形式。     

双寡头团购商家的定价决策研究

现有的团购定价的研究基本上考虑的是单一团购商家的情形,通常忽视团购的广告效应对定价决策的影响.文章在固定价格机制下研究双寡头竞争商家的价格策略.首先得出它们的最优门店价格,然后考虑2商家都开通了团购业务,且团购具有广告宣传效应,得出了2商家的最优团购价格,并形成Nash均衡.证明了2商家的最优团购价格是顾客转移比例的增函数,是团购广告效应因子的减函数.最优团购价格也受到团购网站收取的佣金比例的影响,但这2者之间的单调性还取决于团购广告效应因子的大小.最后,通过一个算例得出了2商家的最优团购价格以及总利润,并得出开展团购可以提高商家销量,增大利润,也为团购消费者带来了低价和实惠,实现了团购双方的互惠互利.     

信息产品捆绑销售的模型分析

研究了捆绑销售策略对于信息产品销售的影响,分析了运营商的最优捆绑策略.考虑两种常见的捆绑类型——针对单个产品的数量捆绑以及针对多种类型产品的捆绑.在连续消费者类型的假定下,从价格歧视的角度分析了两种捆绑的最优定价以及此时的利润、消费者剩余和社会总福利,给出了两种捆绑销售适用的条件.结果表明:对于单个产品,捆绑销售的效果与消费者类型的差异程度有关;对于多产品,混合捆绑优于纯捆绑和非捆绑销售,并且其效果与消费者对捆绑产品的平均估价和供应商设定的折扣程度有关.结果也说明,在一定条件下,捆绑销售能够给供应商带来更大的利润,但同时降低了消费者剩余,减少了社会总福利.     

信息产品捆绑销售的模型分析

研究了捆绑销售策略对于信息产品销售的影响,分析了运营商的最优捆绑策略.考虑两种常见的捆绑类型——针对单个产品的数量捆绑以及针对多种类型产品的捆绑.在连续消费者类型的假定下,从价格歧视的角度分析了两种捆绑的最优定价以及此时的利润、消费者剩余和社会总福利,给出了两种捆绑销售适用的条件.结果表明：对于单个产品,捆绑销售的效果与消费者类型的差异程度有关;对于多产品,混合捆绑优于纯捆绑和非捆绑销售,并且其效果与消费者对捆绑产品的平均估价和供应商设定的折扣程度有关.结果也说明,在一定条件下,捆绑销售能够给供应商带来更大的利润,但同时降低了消费者剩余,减少了社会总福利.     

基于“晕轮效应”背景下的网络团购行为特点及对策分析

网络团购逐渐成为人们生活中的刚性需求。该文针对网络团购消费者回访时忠诚度高、对风险感知敏锐的行为特点,从消费者因素、团购网站因素、商家因素、社会因素等方面揭示影响消费者网络团购行为的障碍因素,分别从消费者、团购网站、商家的角度提出了相应的对策,最大程度地规避“晕轮效应”带来的不利影响。     

网络团购最优定价模型及策略研究

随着网络团购的发展和市场竞争的加剧,合理定价成为团购商家不得不面临的重要问题。基于团购固定价格机制(fixed-pricing mechanism,FPM)相关研究成果,结合国内团购市场现状,通过分析描述商家营销状况的加速因子和描述商家对市场需求认知程度的商品即时供给量的变化对单个商家自身最优价格取值的影响,提出了改进的团购商品最优定价模型。详细讨论了在不同商品储备量值的情况下,加速因子的取值变化所引起的折扣因子变化的动态机制,并基于这些动态机制提出了相应的定价策略。分析了在完全竞争的团购市场中,相互竞争的团购商家如何通过加速因子和商品供给量值来调整各自的定价策略以达到自身的营销目标,实现团购网站的良性运营。     

数据挖掘在网络销售系统中的应用

随着电子商务的发展,网络销售越来越为人们所青睐。如何在网络销售纷繁芜杂的信息中找到对商家有用的信息,进行分析,从而制定相应的销售策略是网络销售系统中亟待解决的一个问题。数据挖掘技术可以解决这类问题,通过关联规则挖掘,找出销售的商品之间、商品与客户之间存在的内在联系,以助决策者进行销售策略的制定,使商家利润达到最大化。     

Croupon式网络团购法律问题研究

通过对Croupon式网络团购的运营模式分析,厘清了团购网站、商家和消费者三者之间的法律关系,并针对网络团购存在的一系列问题,提出一系列建议,希望采用登记准入,明确团购网站的法定审查义务,建立责任机制和团购行业监督组织等措施,引导Croupon式网络团购行业的健康发展。     

析基于博弈论的网络团购问题

作为新时代的产物,网络团购深受消费者与商家的喜欢。消费者通过网络平台自发组团与商家进行交易,亦或通过各类网站申请成为会员,直接参团购买。但就是这种改变传统的商业模式引发当前的种种质疑。文章通过博弈理论,分析网络团购的问题关键,并进一步探讨解决问题的方法,以促进网络团购的健康发展。     

基于双边市场理论的我国团购市场规模 影响因素实证分析

团购已成为我国商家的新型营销模式和消费者的时尚购物方式,在某种程度上实现了市场双赢的效果,而商家和消费者作为市场中两个重要的参与主体,其行为之间存在相互影响.基于双边市场理论,采用格兰杰因果检验方法,研究了团购市场的双边市场特征.结果表明,我国团购市场是具有明显交叉网络外部性的双边市场.利用时间序列模型和面板数据,分析了双边规模的影响因素.实证结果显示,我国团购市场商户规模与消费者规模的相关度较高,电子消费者规模受物价水平和消费习惯的影响,并据此提出了有利于我国团购市场健康有序发展的建议.     

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.     

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.     

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).     

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.