OLAP在电子商城中的应用研究

为了让电子商城中的商家能更好地了解自己的经营状况,可通过对电子商城中的OLAP系统进行分析和设计,以Excel 2007作为OLAP系统的前端展示工具,并使用OLAP多维数据分析技术对销售数据进行分析从而获得相关的信息。结果表明,利用OLAP技术能帮助商家深入全面地分析业务数据,提高经营管理水平。     

盛大文学或成中国版亚马逊

近日，盛大文学成立一家名为“果壳电子”的子公司，并将于近期推出电子书硬件产品以及购书网站，该电子阅读器名为bamboo，可以在盛大运营的在线图书商城中下载图书阅读。易观国际分析认为，盛大文学介入电子阅读器市场将有助于弥补中国电子阅读器厂商内容资源不足的弊端，通过内容资源优势构建“中国版”亚马逊模式。     

协同过滤推荐算法及其在电子商城中的应用

电子商城网站如何根据消费者过往的消费记录和浏览记录等信息知识,自动判断对该消费者有实际需求的商品,显得很有必要。分别针对协同过滤推荐算法中的基于用户和基于物品的协同过滤的原理和推荐函数进行分析、设计,在垂直类的电子商城中通过应用这些协同过滤推荐算法分析用户的潜在消费市场。     

购物在“e”商城

足不出户即可在家享受购物的乐趣,北辰社区的电子商城让你如愿以偿。该电子商城能够接受多种支付方式,包括汇款、现金、银行帐户、信用卡、社区通卡等。在电子商城中不仅可以买到图书、CD、家用电器、日常生活用品和食品,而且还可以通过网上订购房间和会议室。     

《热舞派对》即将开放结婚生宝宝功能

时尚舞蹈网游《热舞派对》实行全免费运营,游戏商城中的道具不用花费人民币即可获得。     

再说支付宝技巧两则

巧用支付宝龙卡快速开店有的朋友想在网上开店,但朋友介绍,在淘宝商城中开一个店,过程相当复杂,最主要的就是实名认证审核过     

省心还需省钱网购必杀技省字

方便、快捷、轻松是网络购物备受喜爱的原因，只要你没事，就能随时随地置身于百货大世界，在网络商城中，你都会相约或者偶然淘出自己喜爱的东东。     

非合作条件下基于责任延伸制的电子废弃物回收主体利益博弈研究

针对由两个制造商、两个回收商、当地政府和消费者构成的物流系统,研究了非合作条件下电子废弃物回收主体的利益博弈.在责任延伸制前提下,以回收商为斯坦伯格主导者,分别构建了非合作条件下的垄断回收模型和竞争回收模型,并采用逆推法求解了模型的纳什均衡条件.最后进行灵敏度分析,探讨了产品替代率和回收率对两种模式下产品销售价格和回收费用的影响.结果表明,对于回收商,垄断回收模式下的平均回收费用总比竞争回收模式高,且回收商需根据临界值选择回收模式;对于制造商,垄断回收模式下设定的价格总比竞争回收模式高,且制造商总是偏好竞争回收模式.研究结果可为决策者对回收模式的选择提供理论依据.     

SCO推行电子批发和许可计划

SCO近日宣布,其将主动降低销售渠道中的存货并把现存存货转为储备,采取有效步骤扩展电子批发和许可计划,以促使其销售渠道转向更有效率的、收益更高的许可电子批发模型。 为加速其产品的电子批发和许司计划的进程,SCO在1998财政年度的第三季度中主动降低销售渠道中的存货,并对目前销售渠道中的存货进行储备。所以,第三季度的报告销售额和净收入将低于预期。通过向销售渠道减少销     

电子商务下全球闭环供应链超网络模型

建立了一个由制造商、零售商、消费者与回收商构成的全球闭环供应链超网络均衡模型.回收商回收、处置废弃产品、并将生产出的新产品销售给零售商与消费者.模型中的交易方式包括传统交易与网上交易.考虑有多种交易货币,模型设定了不同货币对基础货币的增值率.首先对各层决策者的行为进行了研究,探计了它们之间的相互作用,又运用变分不等式的...     

A study of B2B e-market in China: E-commerce process perspective

In China, B2B electronic markets are still in their early stages of development. The lack of basic business infrastructures has delayed the development of e-markets. The intervention and support of government and IT firms was needed to provide technical support and services to e-markets. We developed a conceptual model to aid in evaluating value creation strategy in B2B e-market; it can also be used to determine the complexity of such activities in Chinese B2B e-markets. Based on a case study of two Chinese e-markets, a process-oriented approach was found to be more suitable in modeling the value creation and therefore was selected. The model addressed two major factors: the transaction process and controlling complexity. The crucial value creation activities and strategies in the four phases of the transaction process are identified, and the controlling complexity of these activities is evaluated in the model. Our results offer an approach for studying the dynamic structure of e-commerce processes while focusing on the special issues of e-market development in China.     

Dynamic Pricing for Time-Limited Goods in a Supplier-Driven Electronic Marketplace

Existing e-commerce systems employ a pull model of marketing where buyers, possibly through agents, search the e-market for suppliers offering the product of their choice. In contrast, the push model where suppliers agents approach buyers with their products, has been relatively less investigated. Push strategies are particularly appropriate for commodities that have a short shelf-life and, therefore, an elastic demand curve, allowing suppliers to exploit unexpected supply. The speed and low cost of e-commerce makes it particularly suited to the push paradigm. In this paper, we consider time-limited goods in a supplier driven marketplace that employs the push model of marketing. When constrained by a strict deadline to sell the good, the supplier uses a mobile sales agent that visits every buyer and estimates the short run demand curve of the good. At every buyer, the sales agent also employs a heuristic technique called the Maximum Returns Algorithm to recalculate the price of the good, so that the supplier can obtain the best possible gross returns from trading with the buyers. On the other hand, when the deadline to sell is not stringent, the sales agent negotiates the exchange at a point that improves both the buyers utility and the suppliers profit, as compared to the exchange point without negotiation.This research has been supported by QAD Inc. through the California Micro Program, Grants 97-122 and 98-107 and by the DARPA/ONR Grant N66001-00-1-8931.     

A Domain-Driven Approach for Detecting Event Patterns in E-Markets

An e-market can be thought of as a distributed event system where an event is generated every time the market’s state changes in response to a number of human or computing agents. The paper describes a practical application of event processing in an e-market context through conventional Event Processing Systems (EPSs). A new EPS architecture that allows the integration of several existing EPSs under a unified domain-specific user interface and execution environment is proposed. We assess the performance of a prototype system for a case study in financial market surveillance and its ability to provide a common interface for two existing EPSs–SMARTS and Coral8. A discussion on the experimental results and the issues arising from the proposed EPS architecture are also provided. Data supplied by Securities Industry Research Centre of Asia-Pacific (SIRCA) on behalf of Reuters. The data pre-processing step is not required when selecting SMARTS since it has the ability to process real-time market data as well.     

基于Agent的商务关系网模型

随着经济学的关系论转向,关系研究对于电子商务至关重要,本文通过对以Agent为中介的大规模开放电子市场中交易模式及社会性的分析,提出了一种包括买卖关系和朋友关系的通用商务关系网模型,对该模型进行了形式化描述,并给出了相应的形成和修正规则。     

基于联机分析处理技术的销售分析系统的研究

为满足现代企业销售部门的数据分析与决策制定的需求，将联机分析处理技术应用于销售分析系统中。首先介绍了数据仓库和联机分析处理的概念、特点及结构，然后建立了销售分析系统数据仓库的概念、逻辑与物理模型，最后介绍了基于联机分析处理技术的销售分析系统的实现方法。通过本系统研究解决了大量销售历史数据统计分析的问题。     

When do sellers bifurcate from Electronic Multisided Platforms? The effects of customer demand,competitive intensity,and service differentiation

In today's e-market, many sellers on Electronic Multisided Platforms (EMPs) conduct channel bifurcation, i.e., starting their proprietary websites while maintaining presences on EMPs. This study explores the antecedents of the timing that a seller bifurcates from EMPs. We hypothesize that a seller's customer demand has a U-shaped effect on its EMP membership duration before bifurcation, while competitive intensity has an inverted U-shaped effect. Service differentiation has a negative effect and further dampens the curvilinear effects of customer demand and competitive intensity. Using the data of 422 booksellers on Taobao.com and the accelerated failure time duration model, we found substantial support for our hypotheses.     

一个信任和声誉模型及其应用

购物Agent在基于Web的电子市场中携带着用户的需求选择合适的销售者,在信息不完全的情况下,购买者需要利用信任和声誉在销售者中选择自己信任并能给自己带来较高效用的销售者进行协商。论文提出了一个信任和声誉度量模型,并为购物Agent提出了一个建立信任和声誉模型的算法,购物Agent以协商历史为基础利用这个算法来选择适合自己的销售者,从而提高协商效率,最后给出一个实例的分析。     

Excel在小型企业销售中的管理应用

本文利用Excel强大的数据处理功能,为小型企业的管理人员进行销售数据管理提供方便之道,使得轻松掌握企业销售情况,并及时调整销售模式,从而达到提高销售量的目的。     

神经网络在卷烟销售量预测的应用研究

研究卷烟销售预测准确问题,卷烟销售量具有季节性和周期性动态变化规律,并受经济、人口等因素的影响,使系统存在明显的非线性特征,波动范围比较大,传统线性预测模型难以准确预测。为了提高卷销售预测精度,提出一种能够反映卷烟销售量变化规律的Elman神经网络的卷烟销售预测模型。首先采用逐步拓阶方法确定卷烟销售量的最佳滞后阶数,然后利用最佳滞后阶数最对卷烟销售数据进行重组,并输入Elman神经网络学习,利用Elman神经网络的动态和反馈特点对卷烟销售量进行预测。将建立的模型应用于云南某烟草公司某种卷烟销售的预测,结果表明,Elman神经网络模型有效提高了卷烟销售预测精度,降低了预测误差,为烟草行业销售管理预测提供科学依据。     

基于时空图神经网络的商品销量预测

精准预测商品的销量是提高商品营销效率的前提和基础.为了更好地预测商品销量,现有研究人员提出了基于深度神经网络(DNNs)、卷积神经网络(CNNs)、时间序列分析等方法,但这些方法大多只单方面考虑到商品销售过程中的时间或者空间特征.同时基于商品销售数据的建模分析发现,商品的销量和对应的零售商户的空间位置和销售时间有较大的相关性.为了更加准确地预测某种商品,在特定商店,以及在特定时间的销量,本研究首先构建了以商家为基础的大规模知识图谱系统,通过一张图的数据模型,描述商品销售和对应的商圈、商户、用户的相关交互场景.同时在图模型上增加了商家数据的空间和数据特征,用于描述商户的时空特性.最后基于构建的商家知识图谱,本研究提出了基于图卷积神经网络(GCN)聚合信息获取空间特征,然后使用长短期记忆(LSTM)提取时间特征,并将两种特征进行加权结合,进行商品销量预测.初步研究结果表明:基于图和LSTM模型的混合模型的算法预测投放量最为贴近实际销量,相比于传统的神经网络算法,该模型预测的平均准确率为89%.最后通过构建流水线工作流,将整个商品销量智能预测系统部署到生产环境中,为实现商品精准化营销提供了智...