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Clustering E-Shoppers on the Basis of Shopping Values and Web Characteristics
Journal of Global Information Management ( IF 4.5 ) Pub Date : 2019-04-01 , DOI: 10.4018/jgim.2019040102
Sanjeev Prashar 1 , Sai Vijay Tata 2 , Chandan Parsad 3 , Abhishek Banerjee 1 , Nikhil Sahakari 1 , Subham Chatterjee 1
Affiliation  

Thisarticledescribeshowtheexponentialgrowthofe-commerceinIndiaandthepresenceofmany nationalandmultinationale-retailershassetthetrendforthemajoroverhauloftheonlineindustry. Mostofthee-retailershavefailedtodifferentiatethemselvesfromthecompetitors.Thishasresultedin theirfailuretoattractandretaintherightsetofconsumersfortheirrespectivebusinesses.Thepresent paperisaimedatidentifyinganddevelopingthetypologyofonlineshoppersbasedonimportance givenbythemtoshoppingvaluesandwebportalfeatures.Thedatacollectedwasanalysedusing factor,clusterandcorrespondenceanalyses.Thearticleidentifiesfourtypesofonlineshoppers– ‘InformationSeekers,’‘UtilitySeekers,’‘ValueSeekers’and‘CoreShoppers.’Eachofthesefour segmentsdisplaysignificantdifferencesandthisinformationcanbestrategicallyusedbywebretailers intargetingtheirmarketseffectively. KEyWoRdS Cluster Analysis, Correspondence Analysis, Online Market Segmentation, Site Characteristics, Utility Seekers, Value Seekers

中文翻译:

根据购物价值和网络特征将电子购物者聚类

这四个细分市场中的每个细分市场都显示出巨大的差异,网络零售商可以有效地针对他们的市场来战略性地使用此信息。KEyWoRdS聚类分析,对应分析,在线市场细分,网站特征,公用事业寻求者,价值寻求者
更新日期:2019-04-01
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