Cognitive engagement with AI‐enabled technologies and value creation in healthcare.

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Title: Cognitive engagement with AI‐enabled technologies and value creation in healthcare.
Authors: Kumar, Pradeep (AUTHOR), Vrontis, Demetris (AUTHOR), Pallonetto, Fabiano (AUTHOR)
Source: Journal of Consumer Behaviour. Mar2024, Vol. 23 Issue 2, p389-404. 16p.
Subjects: Value creation, Customer relations, Customer cocreation, Artificial intelligence, Values (Ethics), Consumers, Medical care
Abstract: Despite the potential for artificial intelligence (AI)‐enabled technologies in healthcare, their benefits are limited owing to the numerous challenges of cognitive engagement. This research paper explores the factors of "cognitive engagement with AI‐enabled technologies" and its impact on the customers' benefits and value creation. A mixed‐method study was utilized in the Indian health‐care setup where AI‐based technology is developing. The qualitative findings shed light on the factors of cognitive engagement with AI‐enabled technologies. Grounded on the theories of customer benefit, an integrative framework of customer‐perceived financial, experiential, psychological, and functional benefits, alongside perceived instrumental and terminal values, was developed. The quantitative findings of PLS‐SEM explain the dynamics of the patients' cognitive engagement with AI‐enabled technologies. The results enrich a more nuanced understanding of how the patient benefits of AI applications have different impacts on perceived value. The study concludes with theoretical and practical implications. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Consumer Behaviour is the property of Wiley-Blackwell 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: Cognitive engagement with AI‐enabled technologies and value creation in healthcare.
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  Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Pradeep%22">Kumar, Pradeep</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vrontis%2C+Demetris%22">Vrontis, Demetris</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pallonetto%2C+Fabiano%22">Pallonetto, Fabiano</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Consumer+Behaviour%22">Journal of Consumer Behaviour</searchLink>. Mar2024, Vol. 23 Issue 2, p389-404. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Value+creation%22">Value creation</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+relations%22">Customer relations</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+cocreation%22">Customer cocreation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Values+%28Ethics%29%22">Values (Ethics)</searchLink><br /><searchLink fieldCode="DE" term="%22Consumers%22">Consumers</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Despite the potential for artificial intelligence (AI)‐enabled technologies in healthcare, their benefits are limited owing to the numerous challenges of cognitive engagement. This research paper explores the factors of "cognitive engagement with AI‐enabled technologies" and its impact on the customers' benefits and value creation. A mixed‐method study was utilized in the Indian health‐care setup where AI‐based technology is developing. The qualitative findings shed light on the factors of cognitive engagement with AI‐enabled technologies. Grounded on the theories of customer benefit, an integrative framework of customer‐perceived financial, experiential, psychological, and functional benefits, alongside perceived instrumental and terminal values, was developed. The quantitative findings of PLS‐SEM explain the dynamics of the patients' cognitive engagement with AI‐enabled technologies. The results enrich a more nuanced understanding of how the patient benefits of AI applications have different impacts on perceived value. The study concludes with theoretical and practical implications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Consumer Behaviour is the property of Wiley-Blackwell 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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/cb.2196
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 389
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      – SubjectFull: Value creation
        Type: general
      – SubjectFull: Customer relations
        Type: general
      – SubjectFull: Customer cocreation
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Values (Ethics)
        Type: general
      – SubjectFull: Consumers
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      – SubjectFull: Medical care
        Type: general
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      – TitleFull: Cognitive engagement with AI‐enabled technologies and value creation in healthcare.
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            NameFull: Kumar, Pradeep
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            NameFull: Vrontis, Demetris
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            NameFull: Pallonetto, Fabiano
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            – D: 01
              M: 03
              Text: Mar2024
              Type: published
              Y: 2024
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