谈数据挖掘技术在零售业中的应用

本文主要研究了数据挖掘技术及其在零售业领域的具体应用,深入探讨了数据挖掘技术和数据挖掘技术在零售业领域的应用形式及我国零售企业如何利用数据挖掘技术提高自身竞争力,在激烈的市场竞争中立于不败之地。     

数据挖掘技术分析及其在零售行业的应用

数据挖掘技术逐渐成为研究热点,应用也越来越广泛。本文结合零售业中各种应用需求,较详细地分析了针对不同挖掘任务的数据挖掘技术,并对实施中出现的问题进行了阐述,表明了改进挖掘算法和提高计算效率的必要性。     

零售业中数据仓库的设计与数据挖掘

本文从数据仓库和数据挖掘的角度探讨了零售业在现代化的市场进行信息收集和分析的必要性和发展趋势。提出了零售业基于数据挖掘的数据仓库设计与构造和利用数据挖掘技术进行的各种有效分析,阐明了基于数据挖掘技术的信息高效利用是商家竞争的有效手段。     

零售业中数据挖掘技术的应用

本文叙述了数据挖掘的基本概念,介绍了数据挖掘的基本分析方法和数据挖掘中常用算法。最后根据某大型家电商场的实际销售数据,详细探讨了数据挖掘技术在零售业中的应用。     

数据挖掘技术在零售业中的应用研究

如何快速有效地从海量的信息中,挖掘出潜在的有价值的信息,使之有效地在零售业管理和决策中发挥作用,是我国零售业亟待解决的问题之一。本文对典型的数据挖掘过程模型进行了介绍,阐述其组成结构和各部分的主要功能,着重分析了该技术在零售业中的应用。     

基于数据挖掘的零售业客户关系管理

随着信息化的推进,企业数据急速膨胀。运用数据挖掘技术提取数据背后隐藏的信息,使之为企业决策服务。本文分析了零售企业经营观念的转变,阐述了客户关系管理的内涵及特征,介绍了数据挖掘的本质、算法,探讨了数据挖掘技术在零售业客户关系管理中的应用。     

数据挖掘技术在交叉营销中的应用

本文通过几个案例引出交叉营销的概念,描述了数据挖掘在交叉营销中的应用过程,并通过零售业数据挖掘的应用加以说明。     

零售业数据挖掘的再认识

数据挖掘随着零售业信息化进程的展开,不断的被提及,并且很多人对其充满了好感和信心,但从国内的实际情况来看,成熟的数据挖掘离我们依然遥远。数据挖掘有其现实缺陷当前国内零售业的数据挖掘工作基本上还处于探索阶段,之所以难以形成良好的发展势头,简而言之有以下两个原因:主     

零售业商业智能体系的构建与实施

本文结合零售业信息管理现状,借助SQL Server 2005商业智能技术,构建零售业商业智能体系,阐述了系统在零售企业数据仓库的建立、多维分析报告的提供、特定主题分析的开发、统计报表的产生、数据挖掘等方面的实施。     

保险公司数据挖掘技术应用探索

本文对信息化时代数据库技术在发展中面临的问题进行了描述,提出数据挖掘技术的产生是科学技术发展过程中的必然现象。本文通过比较的方式对数据挖掘技术的属性进行了描述,并对数据挖掘技术的功能进行了阐述。最后,文章结合保险业电子化发展的现状以及保险业务的特点,讨论了数据挖掘技术在保险领域应用的可能性,分析了数据挖掘技术在保险领域发展的前景,提出了推进数据挖掘技术在保险领域的应用,可以保持保险业的长期可持续发展的观点。     

On the measurement of retail marketing mix effects in the presence of different economic regimes

This study deals with the measurement of the effects of retail marketing instruments on annual sales in retail stores. We assume that the sales level in retail stores is determined by an interplay of supply capacity and demand factors. In some stores sales are supply-determined, whereas in other stores sales are demand-determined. If it is not known a priori what economic regime applies, the more traditional approaches lead to biased estimation results. Therefore, a switching regression model is proposed to estimate the marketing mix effects.Our ideas are tested using data from four different types of stores in the Dutch retail trade and a comparison is made with a more traditional approach. The main conclusions are: the traditional approach leads to underestimation of the marketing mix effects. A switching regression model seems to be a promising instrument for analyzing these effects. The method has a wider applicability than the retail trade.     

Credit Indebtedness and the UK Retail Trade

Prior to the end of 1989, most sectors of the UK retail trade had for some time been benefiting from a boom in sales. Many reasons may be forwarded to explain the high level of sales that had devéloped. This paper focuses attention on the greatly increased levels of consumer credit indebtedness associated with high retail sales. Examination is made of the possibility that a fundamental change in UK patterns of saving and spending has taken place. It is suggested that the retail trade must pay attention to the implications of rising credit and of any restrictions on consumer credit that may be introduced at some future date.     

中国内外贸一体化的实践、目标与政策建议(上)--对流通组织形式的考察

本文从流通组织形式的视角研究了中国内外贸一体化问题.文章首先总结了中国一批优势的生产企业、外贸企业和商业企业近年来在内外贸结合和国内外市场一体化经营方面的有益探索和实践,然后提出了流通组织的发展目标.为了推动内外贸一体化的发展和深化,作者还分别针对综合商社的发展、工业型跨国公司和零售企业的国际化经营提出了政策建议.     

第三方物流与我国零售业发展

加入世界贸易组织后,我国零售业获得了迅猛发展,但也面临着物流配送的发展建设方面投资不足、运营效率低和成本高等严重挑战。解决好这些难题、建立完善的第三方物流体系,对促进我国的零售业发展有着重大的意义。依据第三方物流促进零售企业的发展理论,针对我国零售业存在的问题,提出如何以发展第三方物流的方式促进我国零售业的发展。     

我国批发与零售环节的地位、作用与演变趋势

本文研究了我国市场经济体制下批发与零售环节地位与作用的演变趋势,对比、分析、描述与探讨了近年来我国批发与零售环节销售业务的数据及其总量、结构、演变趋势和原因等.在此基础上,提出了如下观点:批发环节不会在流通市场化过程中消亡,而是呈现出淘汰、整合、创新与发展的趋势;我国传统"批发环节主导零售"的地位,正在发生"批发环节服务于零售环节与用户"的根本性变化,而零售环节在商品流通渠道中的主导地位与作用越来越明显;由商品自然属性和社会属性的差异性决定,商品流通渠道向多样化的构成方向演变,批发环节已不是商品流通过程的必经环节.     

Mobile payment and online to offline retail business models

Mobile payments are services that use mobile devices to make payments. When digitalization moves across channel boundaries, online to offline channel retail will expand. Online to offline retailing will become the future retail owner stream and retail operators will move from cross-channel or multi-channel to omni-channel. This study investigates a market survey in Taiwan developing a data mining analytics including clustering analysis and association rules based on a snowflake schema database design. The role of mobile payment is determined in terms of new retail payment mechanism that promotes a better consumer purchase experience in an online to offline business environment.     

Food waste in the retail sector: A survey-based evidence from Central and Eastern Europe

This paper explores the issue of food waste in the Lithuanian retail sector. A questionnaire survey was designed in order to collect the relevant data from both the largest retail chains with stores around the country and companies with small-scale stores in rural areas. The present case is interesting as the literature on Central and Eastern European countries is scarce in the sense of the quantification of food waste. In this paper, the amounts of food waste among different food product categories are discussed and then extrapolated to approximate food waste in retail trade for Lithuania by using sales revenue as a key parameter. The results suggest that food waste in the Lithuanian retail sector amounts to 36.4 thousand tonnes or 13.0 kg per capita per year. Fruits and vegetables account for more than a half (63%), whereas meat (products) come next representing some 9% of food waste. Therefore, these products can be considered as the major targets for valorisation schemes and other measures aimed at mitigation of food waste.     

Local costs of distribution,international trade costs and micro evidence on the law of one price

This paper connects trade flows to deviations from the law of one price (LOOP) in a structural model of trade and retailing. It accounts for the observed cross-country dispersion in prices of goods, based on retail price survey data, by focusing on two sources of goods market segmentation — (i) international trade costs, and (ii) non-traded input costs of distribution. I find that a multi-sector Ricardian trade model, ala Eaton–Kortum, augmented with a distribution sector, can account for the average price dispersion for a basket of goods fully and generates 70% of the variation in price dispersion across goods within the basket. While tradability of goods is important in explaining the average price dispersion for the basket of goods, distribution costs are important in explaining why, within the basket, some goods show more price dispersion than others.     

市场结构优化及黑龙江省零售业提高竞争力探析

市场结构是决定市场行为和市场绩效的基础,而市场行为又是决定市场绩效的前提条件,市场绩效受市场结构和市场行为的共同制约。黑龙江省零售业存在着市场集中度低、产品差异性小、业态分布不合理等诸多市场结构问题,严重影响了零售企业的竞争力,制约了零售业的健康持续发展。应采取培育大型零售企业集团、调整网点结构、找准市场定位、实行差别化经营等措施,推进和引导市场结构优化,大力增强零售业市场竞争力。