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PERSONALIZED E-SERVICES: CONSUMER PRIVACY CONCERN AND INFORMATION SHARING.

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Title: PERSONALIZED E-SERVICES: CONSUMER PRIVACY CONCERN AND INFORMATION SHARING.
Authors: SEUNGSIN LEE, YOUNGHEE LEE, JOING-IN LEE, JUNGKUN PARK
Source: Social Behavior & Personality: an international journal. 2015, Vol. 43 Issue 5, p729-740. 12p.
Subjects: Web personalization, Consumer attitudes, Online shopping, Consumer behavior, Internet privacy, Information sharing, Electronic commerce security measures, Website security
Abstract: Our purpose was to identify the behavioral characteristics and determine the attitudes of different customer segments in regard to the personalization features of e-tailers' websites as they related to the criteria of privacy concern and willingness to share information. The data of 1,659 participants were subjected to multivariate analyses of variance and discriminant analysis methods. The results indicated that the customer segment for whom it was most likely to be profitable for companies to establish a personalized e-tail strategy had a high level of privacy concern and considerable online shopping experience, were willing to share personal information, and had a low level of privacy concern. By profiling online consumers falling within these categories, our aim was to fill the gaps and address discrepancies in the current e-personalization literature by adding to the available information about consumer privacy concern and information sharing. Limitations and implications of the findings are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Social Behavior & Personality: an international journal is the property of Scientific Journal Publishers Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: PERSONALIZED E-SERVICES: CONSUMER PRIVACY CONCERN AND INFORMATION SHARING.
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  Data: <searchLink fieldCode="AR" term="%22SEUNGSIN+LEE%22">SEUNGSIN LEE</searchLink><br /><searchLink fieldCode="AR" term="%22YOUNGHEE+LEE%22">YOUNGHEE LEE</searchLink><br /><searchLink fieldCode="AR" term="%22JOING-IN+LEE%22">JOING-IN LEE</searchLink><br /><searchLink fieldCode="AR" term="%22JUNGKUN+PARK%22">JUNGKUN PARK</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Social+Behavior+%26+Personality%3A+an+international+journal%22">Social Behavior & Personality: an international journal</searchLink>. 2015, Vol. 43 Issue 5, p729-740. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Web+personalization%22">Web personalization</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+attitudes%22">Consumer attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Online+shopping%22">Online shopping</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+behavior%22">Consumer behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+privacy%22">Internet privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+commerce+security+measures%22">Electronic commerce security measures</searchLink><br /><searchLink fieldCode="DE" term="%22Website+security%22">Website security</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Our purpose was to identify the behavioral characteristics and determine the attitudes of different customer segments in regard to the personalization features of e-tailers' websites as they related to the criteria of privacy concern and willingness to share information. The data of 1,659 participants were subjected to multivariate analyses of variance and discriminant analysis methods. The results indicated that the customer segment for whom it was most likely to be profitable for companies to establish a personalized e-tail strategy had a high level of privacy concern and considerable online shopping experience, were willing to share personal information, and had a low level of privacy concern. By profiling online consumers falling within these categories, our aim was to fill the gaps and address discrepancies in the current e-personalization literature by adding to the available information about consumer privacy concern and information sharing. Limitations and implications of the findings are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Social Behavior & Personality: an international journal is the property of Scientific Journal Publishers Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=103200420
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2224/sbp.2015.43.5.729
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 729
    Subjects:
      – SubjectFull: Web personalization
        Type: general
      – SubjectFull: Consumer attitudes
        Type: general
      – SubjectFull: Online shopping
        Type: general
      – SubjectFull: Consumer behavior
        Type: general
      – SubjectFull: Internet privacy
        Type: general
      – SubjectFull: Information sharing
        Type: general
      – SubjectFull: Electronic commerce security measures
        Type: general
      – SubjectFull: Website security
        Type: general
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      – TitleFull: PERSONALIZED E-SERVICES: CONSUMER PRIVACY CONCERN AND INFORMATION SHARING.
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            NameFull: YOUNGHEE LEE
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            NameFull: JOING-IN LEE
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          Name:
            NameFull: JUNGKUN PARK
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              Text: 2015
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              Value: 43
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            – TitleFull: Social Behavior & Personality: an international journal
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