期刊文献+

钢铁企业交叉销售模型的研究与应用 被引量:3

Research and Application of Cross-selling Model for Iron & Steel Enterprises
下载PDF
导出
摘要 在成熟的市场经济条件下,企业经营的出发点是市场,即客户的需求。钢铁产品作为生产资料,其交易行为有着与消费品不同的特征,正确认识钢铁产品交易行为特征,加强客户关系管理,有利于钢铁生产企业提高市场竞争力。针对此需要,在分析钢铁产品交易行为特征的基础上,提出了钢铁企业交叉销售模型,并对其构建过程和关键技术进行了深入研究,最后应用在某钢铁企业中,为企业制定交叉销售策略提供了科学的决策依据,并取得了良好的效果。 In the mature market economy, the basic purpose of enterprise management is market, that is, the demand of customer. The iron & steel products as means of production have many characteristics different from consumer goods in terms of trading behavior. If the trading behavior characteristics of iron & steel products are known exactly, the customer relationship management of enterprises can be improved, which is useful for iron & steel enterprises to enhance the market competitiveness. In view of this, the trading behavior characteristics of iron & steel products are analyzed. Furthermore, the cross-selling model of iron & steel enterprises is proposed, in which an in-depth study is made on its construction process and core techniques. Finally, the model is applied to certain iron & steel enterprise and good results are obtained, which can provide the scientific and decision-making evidence for enterprise to make cross-selling strategies. And the outstanding effects are obtained.
出处 《系统工程》 CSCD 北大核心 2008年第9期9-14,共6页 Systems Engineering
基金 国家自然科学基金资助项目(70572098)
关键词 客户关系管理 交叉销售模型 系统建模与实证 钢铁企业 交易行为特征 交叉销售策略 Customer Relationship Management Cross-selling Model Modeling and Empirical Research Iron &Steel Enterprises Trading Behavior Characteristics Cross-selling Strategy
  • 相关文献

参考文献9

  • 1于红霞,汪波,钱荣.基于价值链的客户关系管理实证研究[J].科技管理研究,2007,27(8):172-174. 被引量:5
  • 2阙师鹏.基于Web的钢铁企业客户关系管理系统[J].南方冶金学院学报,2005,26(1):18-22. 被引量:5
  • 3Knott A,Hayes A,Neslin S A. Next-product-to-buy models for cross-selling applications[J].Journal of Interactive Marketing, 2002,16 (3) : 59- 75.
  • 4Jarrar F Y, Neely A. Cross-selling in the financial sector: customer profitability is key [J]. Journal of Targeting, Measurement and Analysis for Marketing, 2002,10 (3) : 282- 296.
  • 5Kamakura W A,et al. Cross-selling through database marketing: a mixed data factor analyzer for data augmentation and prediction[J]. International Journal of Research in Marketing,2003,20(1):45-65.
  • 6Inmon W H.数据仓库[M].北京:机械工业出版社,2000..
  • 7Fayyad U, et al. Advances in knowledge discovery and data mining[M].AAAI/MIT Press, 1996:1 -34.
  • 8宋旭东,翟坤,刘晓冰,王亚伟,张通学.基于图论的最大频繁项集挖掘[J].计算机应用研究,2007,24(11):43-45. 被引量:3
  • 9宋旭东,翟坤,高卫东.关联规则评价指标的研究[J].微计算机信息,2007,23(04X):174-176. 被引量:6

二级参考文献14

共引文献33

同被引文献44

引证文献3

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部