Exploring factors related to ChatGPT usage among Chinese users: A mixed-methods study.

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Title: Exploring factors related to ChatGPT usage among Chinese users: A mixed-methods study.
Authors: Wang, Yingwei (AUTHOR), Gai, Meijuan (AUTHOR), Zhang, Ying (AUTHOR)
Source: Social Behavior & Personality: an international journal. Mar2026, Vol. 54 Issue 3, p1-13. 13p.
Subjects: ChatGPT, Social influence, Technology Acceptance Model, Generative artificial intelligence, Risk perception, Chinese people
Abstract: As utilization of generative artificial intelligence increases, understanding user behavioral intentions that influence its use is crucial. We surveyed 359 ChatGPT users and analyzed their responses using partial least squares structural equation modeling to test hypotheses based on the unified theory of acceptance and use of technology. We found that performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived enjoyment were all positively related to the behavioral intention to use ChatGPT, and perceived risk was negatively related to the behavioral intention to use ChatGPT. The results of fuzzy-set qualitative comparative analysis were categorized into the following antecedent configurations affecting the behavioral intention to use ChatGPT: influence-driven performance, influence-facilitating enjoyment, and hybrid. These findings not only enrich and develop the unified theory of acceptance and use of technology framework but also provide insights for ChatGPT designers to promote the product. [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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  Label: Title
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  Data: Exploring factors related to ChatGPT usage among Chinese users: A mixed-methods study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yingwei%22">Wang, Yingwei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gai%2C+Meijuan%22">Gai, Meijuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Ying%22">Zhang, Ying</searchLink> (AUTHOR)
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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>. Mar2026, Vol. 54 Issue 3, p1-13. 13p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Social+influence%22">Social influence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+perception%22">Risk perception</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+people%22">Chinese people</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As utilization of generative artificial intelligence increases, understanding user behavioral intentions that influence its use is crucial. We surveyed 359 ChatGPT users and analyzed their responses using partial least squares structural equation modeling to test hypotheses based on the unified theory of acceptance and use of technology. We found that performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived enjoyment were all positively related to the behavioral intention to use ChatGPT, and perceived risk was negatively related to the behavioral intention to use ChatGPT. The results of fuzzy-set qualitative comparative analysis were categorized into the following antecedent configurations affecting the behavioral intention to use ChatGPT: influence-driven performance, influence-facilitating enjoyment, and hybrid. These findings not only enrich and develop the unified theory of acceptance and use of technology framework but also provide insights for ChatGPT designers to promote the product. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2224/sbp.15392
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      – Code: eng
        Text: English
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        PageCount: 13
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    Subjects:
      – SubjectFull: ChatGPT
        Type: general
      – SubjectFull: Social influence
        Type: general
      – SubjectFull: Technology Acceptance Model
        Type: general
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Risk perception
        Type: general
      – SubjectFull: Chinese people
        Type: general
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      – TitleFull: Exploring factors related to ChatGPT usage among Chinese users: A mixed-methods study.
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            NameFull: Wang, Yingwei
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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            – TitleFull: Social Behavior & Personality: an international journal
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