服装网络消费行为的静态测试与分析

针对目前服装网络购物中日益增加的退货物流,以B/C服装电子商务企业为研究对象,通过静态测试方法,分析了消费者特征与服装网络消费行为之间的影响关系。同时分析了消费者因素、服装企业因素、营销因素、网络因素、感知风险因素与消费心理及行为之间的相关性。在此基础上,运用因子分析和聚类分析划分了服装网络消费者的类型,并通过对应分析明确每一类消费者的购物偏好,为服装企业制定精准性的营销方案提供参考依据。     

基于消费者购买前后感知价值差异下的卖方最优订货量与定价分析

网络购物中,消费者购买前后对产品的感知价值常出现有偏差的现象,这会影响消费者需求并会导致退货行为.消费者购买前后感知价值可以分为两种关系:购买前后感知价值互相独立,和购买前后感知价值互相依赖.针对这两种关系分别建模,构建了相应的卖方期望利润函数,给出了最优订货量解析解;分析了这两种模型下的最优决策和期望利润的大小关系,发现每种模型的期望利润只可能是条件最优,并给出了判断条件;最后结合算例分析了当价格内生时,消费者感知价值分布特点对卖方最优定价、订货量和利润的影响.     

大学生网络购物影响因素分析

在网络越来越普及的情况下,以网络为媒介的网络购物方式也迅速发展起来。该文以大学生这个特殊群体为研究对象,通过电子问卷的方式了解大学生网络购物的基本情况,分析影响大学生网络购物的商家因素。研究表明:(1)大学生网络购物具有花费少、熟练程度高、偏好明显等特点;(2)4个商家因素与网络购物行为意愿具有显著正相关;(3)不同个体属性的大学生在4个商家因素上存在差异。商家应根据以上结论及时调整营销策略。     

基于TAM模型的线上购物中信任对购买意图的多重作用研究

基于TAM(Technology Acceptance Model)模型,围绕信任这一大因素,分别将信任作为独立变数、先行变数、媒介变数建立研究模型,探究它与网站设计、物流、感知风险三个因素影响消费者购买意图的路径.通过对318名网购用户进行问卷调查发现,信任作为独立变数、先行变数、媒介变数都可以通过对感知风险的正向影响来增强消费者购买意图,其中,信任作为先行变数的效果最明显.基于研究结论,笔者从商家的角度,提出了改善服务、提升消费者购买意愿的建议.     

基于大学生网络消费行为分析的网络营销策略

科技的发展和信息化技术的普及使得全球互联网用户剧增,利用互联网进行产品或服务的销售成为了当前重要的营销趋势.消费者对于网络购物这种购物新模式欣然接受,促进了网络购物经济的日益繁荣,国内外对网络购物的研究也取得巨大的成果.本文在分析大学生网购行为的基础上,对电子商务市场营销策略进行研究并提出可优化执行建议.     

基于第三方交易平台的B2C消费者信任研究——淘宝商城的实证研究

信任被认为是促进消费者购买行为最关键的因素之一,基于第三方交易平台的B2C消费者信任问题由于涉及商家和平台两方面因素而更为复杂.针对这一问题,着重在从第三方平台和在线商家两个层面以淘宝商城为背景进行实证研究,发现平台及网店建设、实时沟通工具和第三方消费者保障三个因素影响了消费者对在线交易的信任感知,第三方支付工具、商家规模以及商家声誉评价体系等虽然存在正向影响,然而显著水平不足.     

不同目的旅游者购物行为差异研究——以安徽屯溪老街为例

目的是预测消费者行为的有力工具之一,不同目的消费者行为差异的研究对于制订旅游营销策略有着重要作用.本文选取安徽省黄山市屯溪老街旅游者为研究对象,引入消费者购物的EBM模型,对不同目的旅游者在购物各个阶段上的行为差异进行了研究.所用数据来自实地问卷调查,利用SPSS软件对数据进行统计分析.通过对购物行为差异的分析,验证了目的可以作为预测旅游购物行为的工具,同时针对不同目的旅游者购物行为的特点提出了营销建议.     

移动营销情境下消费者对移动应用程序广告接受意向的影响研究

人工智能在移动营销领域的应用不断创新,移动应用广告的出现就是移动营销与人工智能成功结合的产物,帮助广告商改善消费者对移动应用广告的态度是推动该领域发展的关键。本研究基于技术接受模型,研究移动营销情境下消费者对应用内广告接受意向的影响因素。实证研究结果表明：信息性、娱乐性、可信度和侵入性是影响渠道接受、感知价值和信任的前置变量;感知价值、信任和渠道接受对消费者对移动应用程序广告的态度都有显著正向影响;消费者对移动应用程序广告的态度对消费者接受意向有显著正向影响。     

丝绸制品终端渠道营销策略研究

丝绸制品承载着特定的中国传统文化,在当今多样化的市场终端渠道竞争中面临着挑战,需要进行科学合理的市场推广与营销策略研究.针对营销渠道中的实体终端和线上终端,采用市场调查和消费者调研等相关研究方法,研究了消费者对二者的认知差异.同时,基于顾客感知价值的相关理论,运用描述性统计分析、因子分析和单因素方差分析等归纳了决定消费者对终端渠道感知喜好的主要特征,成为了满足消费者需求偏好的丝绸制品终端渠道营销策略制定的基础.     

消费者网络购物优劣势分析

网络购物在我国逐渐走向成熟,本文首先对我国网络购物存在的优劣势进行了分析,然后针对网络商家如何抓住商机,争取赢得更多网络消费者提出了建议.     

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)

正~~     

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.