Factors driving organizational members' continuance intention for use of generative artificial intelligence.
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| Title: | Factors driving organizational members' continuance intention for use of generative artificial intelligence. |
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| Authors: | Kim, Byoungsoo (AUTHOR), Kim, Daekil (AUTHOR) |
| Source: | Social Behavior & Personality: an international journal. Jul2026, Vol. 54 Issue 7, p1-12. 12p. |
| Subjects: | Generative artificial intelligence, Privacy, Organizational behavior, Pleasure, Perceived benefit, Self-efficacy, Satisfaction |
| Abstract: | It is important both academically and practically to understand the factors predicting organizational members' continuance intention for use of generative artificial intelligence (GenAI). We incorporated privacy concerns and self-efficacy into an expectation–confirmation model of GenAI usage continuance intention, and tested this model using partial least squares analysis with data from 172 members of organizations who had experience using GenAI. The results showed that user satisfaction was not significantly associated with continuance intention, while perceived usefulness was a significant predictor of continuance intention, and perceived enjoyment was significantly associated with user satisfaction. These results indicated that privacy concerns played an important role in reducing perceived usefulness. Finally, self-efficacy played a role in the decision of whether to continue using GenAI. With regard to successful adoption and leverage of GenAI, our findings offer insights for companies aiming to establish operational strategies and information protection policies. [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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 195099648 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Factors driving organizational members' continuance intention for use of generative artificial intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Byoungsoo%22">Kim, Byoungsoo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Daekil%22">Kim, Daekil</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Behavior+%26+Personality%3A+an+international+journal%22">Social Behavior & Personality: an international journal</searchLink>. Jul2026, Vol. 54 Issue 7, p1-12. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+behavior%22">Organizational behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Pleasure%22">Pleasure</searchLink><br /><searchLink fieldCode="DE" term="%22Perceived+benefit%22">Perceived benefit</searchLink><br /><searchLink fieldCode="DE" term="%22Self-efficacy%22">Self-efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: It is important both academically and practically to understand the factors predicting organizational members' continuance intention for use of generative artificial intelligence (GenAI). We incorporated privacy concerns and self-efficacy into an expectation–confirmation model of GenAI usage continuance intention, and tested this model using partial least squares analysis with data from 172 members of organizations who had experience using GenAI. The results showed that user satisfaction was not significantly associated with continuance intention, while perceived usefulness was a significant predictor of continuance intention, and perceived enjoyment was significantly associated with user satisfaction. These results indicated that privacy concerns played an important role in reducing perceived usefulness. Finally, self-efficacy played a role in the decision of whether to continue using GenAI. With regard to successful adoption and leverage of GenAI, our findings offer insights for companies aiming to establish operational strategies and information protection policies. [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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=195099648 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2224/sbp.16276 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Privacy Type: general – SubjectFull: Organizational behavior Type: general – SubjectFull: Pleasure Type: general – SubjectFull: Perceived benefit Type: general – SubjectFull: Self-efficacy Type: general – SubjectFull: Satisfaction Type: general Titles: – TitleFull: Factors driving organizational members' continuance intention for use of generative artificial intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Byoungsoo – PersonEntity: Name: NameFull: Kim, Daekil IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 03012212 Numbering: – Type: volume Value: 54 – Type: issue Value: 7 Titles: – TitleFull: Social Behavior & Personality: an international journal Type: main |
| ResultId | 1 |
