Academic Journal
Employee Experience and Engagement in the Age of Artificial Intelligence: A Literature Review.
| Title: | Employee Experience and Engagement in the Age of Artificial Intelligence: A Literature Review. |
|---|---|
| Authors: | Marzan, Pricila B. |
| Source: | Psychology & Education: A Multidisciplinary Journal; 2026, Vol. 62 Issue 1, p120-141, 22p |
| Subject Terms: | Artificial intelligence, Human-artificial intelligence interaction, Job involvement, Decision making, Work environment, Personnel management, Change management |
| Abstract: | The increasing integration of artificial intelligence (AI) in the workplace is transforming employee experience and engagement by reshaping work processes, human resource practices, communication, and organizational decisionmaking. This literature review synthesizes existing studies on the influence of AI on employee experience and engagement, with emphasis on its benefits, challenges, and implications for contemporary organizations. The reviewed literature indicates that AI-enabled systems can enhance productivity and decision-making, support flexible work arrangements and work-life balance, personalize employee development, promote inclusion, and strengthen communication and engagement through real-time feedback and data-driven platforms. However, AI integration also presents significant concerns, including job displacement and fear of redundancy, psychological distress, workplace surveillance, reduced employee autonomy, algorithmic bias, data privacy issues, and uncertainty regarding its longterm effects on intrinsic motivation and engagement. The findings highlight the dual role of AI as both an enabler of improved employee experience and a potential source of workplace challenges. Effective AI integration therefore requires transparent and inclusive policies, employee upskill and digital literacy, human-AI collaboration, continuous feedback and well-being support, and governance mechanisms that safeguard fairness, psychological safety, and employee autonomy. Overall, the review emphasizes the importance of balancing technological efficiency with human-centered organizational practices to ensure that AI contributes to sustainable employee engagement, workforce well-being, and organizational performance. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychology & Education: A Multidisciplinary Journal is the property of SciMatic Inc., Adnan Menderes Technocity 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: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 196703736 RelevancyScore: 1067 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1066.68811035156 |
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| Items | – Name: Title Label: Title Group: Ti Data: Employee Experience and Engagement in the Age of Artificial Intelligence: A Literature Review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Marzan%2C+Pricila+B%2E%22">Marzan, Pricila B.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Psychology & Education: A Multidisciplinary Journal; 2026, Vol. 62 Issue 1, p120-141, 22p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Human-artificial+intelligence+interaction%22">Human-artificial intelligence interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Job+involvement%22">Job involvement</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22Personnel+management%22">Personnel management</searchLink><br /><searchLink fieldCode="DE" term="%22Change+management%22">Change management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increasing integration of artificial intelligence (AI) in the workplace is transforming employee experience and engagement by reshaping work processes, human resource practices, communication, and organizational decisionmaking. This literature review synthesizes existing studies on the influence of AI on employee experience and engagement, with emphasis on its benefits, challenges, and implications for contemporary organizations. The reviewed literature indicates that AI-enabled systems can enhance productivity and decision-making, support flexible work arrangements and work-life balance, personalize employee development, promote inclusion, and strengthen communication and engagement through real-time feedback and data-driven platforms. However, AI integration also presents significant concerns, including job displacement and fear of redundancy, psychological distress, workplace surveillance, reduced employee autonomy, algorithmic bias, data privacy issues, and uncertainty regarding its longterm effects on intrinsic motivation and engagement. The findings highlight the dual role of AI as both an enabler of improved employee experience and a potential source of workplace challenges. Effective AI integration therefore requires transparent and inclusive policies, employee upskill and digital literacy, human-AI collaboration, continuous feedback and well-being support, and governance mechanisms that safeguard fairness, psychological safety, and employee autonomy. Overall, the review emphasizes the importance of balancing technological efficiency with human-centered organizational practices to ensure that AI contributes to sustainable employee engagement, workforce well-being, and organizational performance. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Psychology & Education: A Multidisciplinary Journal is the property of SciMatic Inc., Adnan Menderes Technocity 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=edb&AN=196703736 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5281/zenodo.10815592 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 120 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Human-artificial intelligence interaction Type: general – SubjectFull: Job involvement Type: general – SubjectFull: Decision making Type: general – SubjectFull: Work environment Type: general – SubjectFull: Personnel management Type: general – SubjectFull: Change management Type: general Titles: – TitleFull: Employee Experience and Engagement in the Age of Artificial Intelligence: A Literature Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Marzan, Pricila B. IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 12 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 28224353 Numbering: – Type: volume Value: 62 – Type: issue Value: 1 Titles: – TitleFull: Psychology & Education: A Multidisciplinary Journal Type: main |
| ResultId | 1 |