Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/543
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dc.contributor.authorPrashar, Sanjeev.-
dc.contributor.authorVijay, Tata Sai.-
dc.contributor.authorParsad, Chandan.-
dc.contributor.authorBanerjee, Abhishek.-
dc.contributor.authorSahakari, Nikhil.-
dc.contributor.authorChatterjee, Subham.-
dc.date.accessioned2019-07-22T07:25:31Z-
dc.date.available2019-07-22T07:25:31Z-
dc.date.issued2019-
dc.identifier.citationPrashar, S., Vijay, T. S., Parsad, C., Banerjee, A., Sahakari, N., & Chatterjee, S. (2019). Clustering e-shoppers on the basis of shopping values and web characteristics. Journal of Global Information Management, 27(2), 24-38.en_US
dc.identifier.issn1062-7375-
dc.identifier.urihttps://doi.org/10.4018/JGIM.2019040102-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/543-
dc.description.abstractThis article describes how the exponential growth of e-commerce in India and the presence of many national and multinational e-retailers has set the trend for the major overhaul of the online industry. Most of the e-retailers have failed to differentiate themselves from the competitors. This has resulted in their failure to attract and retain the right set of consumers for their respective businesses. The present paper is aimed at identifying and developing the typology of online shoppers based on importance given by them to shopping values and web portal features. The data collected was analysed using factor, cluster and correspondence analyses. The article identifies four types of online shoppers – ‘Information Seekers,' ‘Utility Seekers,' ‘Value Seekers' and ‘Core Shoppers.' Each of these four segments display significant differences and this information can be strategically used by web retailers in targeting their markets effectively.en_US
dc.language.isoen_USen_US
dc.publisherIGI Globalen_US
dc.subjectCluster analysisen_US
dc.subjectCorrespondence Analysisen_US
dc.subjectOnline Market Segmentationen_US
dc.subjectSite characteristicsen_US
dc.subjectUtility Seekersen_US
dc.subjectValue seekersen_US
dc.subjectIIM Ranchien_US
dc.titleClustering e-shoppers on the basis of shopping values and web characteristicsen_US
dc.typeArticleen_US
dc.volume27en_US
dc.issue2en_US
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