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Editorial: Segmenting the Future of E-Commerce, One Step at a Time.

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Title: Editorial: Segmenting the Future of E-Commerce, One Step at a Time.
Authors: Ballestar, María Teresa1 mariateresa.ballestar@esic.edu
Source: Journal of Theoretical & Applied Electronic Commerce Research. May2021, Vol. 16 Issue 2, pI-III. 3p.
Subjects: Computational learning theory, Electronic commerce, Statistical learning
Abstract: An editorial is presented on the article customer segmentation has relevant and powerful tools for explaining customer behaviour in e-commerce and enables brands to develop personalized acquisition and retention strategies for cluster. Topics include a key to success in competitive environments the specific product or service has little or no differentiation for competitors; and the development of the traditional segmentation methods provides companies in the evolution of the segments.
Database: Engineering Source
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PubType: Academic Journal
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  Data: Editorial: Segmenting the Future of E-Commerce, One Step at a Time.
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  Data: <searchLink fieldCode="AR" term="%22Ballestar%2C+María+Teresa%22">Ballestar, María Teresa</searchLink><relatesTo>1</relatesTo><i> mariateresa.ballestar@esic.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Theoretical+%26+Applied+Electronic+Commerce+Research%22">Journal of Theoretical & Applied Electronic Commerce Research</searchLink>. May2021, Vol. 16 Issue 2, pI-III. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Computational+learning+theory%22">Computational learning theory</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+learning%22">Statistical learning</searchLink>
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  Data: An editorial is presented on the article customer segmentation has relevant and powerful tools for explaining customer behaviour in e-commerce and enables brands to develop personalized acquisition and retention strategies for cluster. Topics include a key to success in competitive environments the specific product or service has little or no differentiation for competitors; and the development of the traditional segmentation methods provides companies in the evolution of the segments.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=147240903
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.4067/S0718-18762021000200101
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      – Code: eng
        Text: English
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        PageCount: 3
        StartPage: I
    Subjects:
      – SubjectFull: Computational learning theory
        Type: general
      – SubjectFull: Electronic commerce
        Type: general
      – SubjectFull: Statistical learning
        Type: general
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      – TitleFull: Editorial: Segmenting the Future of E-Commerce, One Step at a Time.
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            – D: 01
              M: 05
              Text: May2021
              Type: published
              Y: 2021
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              Value: 16
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            – TitleFull: Journal of Theoretical & Applied Electronic Commerce Research
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