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TRUVACE RECORD VERSION record: TRV-2026-0859 version: 1 kind: certified reason: Certified into the record timestamp: 2026-08-24T06:04:18.240963Z status: published lens: trace sector: health headline: Artificial intelligence-driven transformation in healthcare: the mediating role of technostress in the impact of openness to organizational change and attitude toward AI on innovative behavior dek: Purpose The rapid proliferation of artificial intelligence (AI) applications in healthcare is transforming the ways in which employees interact with technology, making it crucial to understand the effects of this process on employee behavior. The purpose of this study is to examine the effects of openness to organizational change and attitudes toward AI on employees' innovative behavior, and to test the mediating role of technostress in these effects. Design/methodology/approach The research was conducted using… gain_title: Healthcare workers with high openness to organizational change and positive attitudes toward AI reported lower technostress, which was linked to higher innovative work behavior. problem_title: Technostress mediated the relationship, such that when openness to change and positive AI attitudes were low, higher technostress was associated with reduced innovative work behavior among the same hospital staff. trace_subject: impact of openness to organizational change and attitude toward AI on innovative work behavior through technostress among healthcare workers gain_reading: Healthcare workers with high openness to organizational change and positive attitudes toward AI reported lower technostress, which was linked to higher innovative work behavior. gain_evidence: employees with high levels of openness to organizational change and a positive attitude toward AI experienced lower levels of technostress, and that this, in turn, increased their innovative work behavior problem_reading: Technostress mediated the relationship, such that when openness to change and positive AI attitudes were low, higher technostress was associated with reduced innovative work behavior among the same hospital staff. problem_evidence: employees with high levels of openness to organizational change and a positive attitude toward AI experienced lower levels of technostress, and that this, in turn, increased their innovative work behavior | to test the mediating role of technostress in these effects quick_read: A peer-reviewed study in Journal of Health Organization and Management examined how healthcare workers respond to AI-driven transformation. Using face-to-face surveys of 305 staff at a university hospital in Istanbul in early 2026, the authors tested whether openness to organizational change and attitudes toward AI affect innovative work behavior via technostress. The findings matter because they link employee-centered factors to successful AI adoption in clinical settings, showing lower technostress associated with more innovative behavior. What remains uncertain is whether the pattern holds beyond a single Turkish university hospital, over longer time periods, or with objective measures of innovation rather than self-reported survey data. limitation: tag: Dual reading key_points: Study used quantitative design with structural equation modeling using SPSS and AMOS software. | Sample was 305 healthcare workers at a university hospital in Istanbul, Tfcrkiye, surveyed January to February 2026. | Technostress was tested as a mediator between openness to change / attitude toward AI and innovative behavior. rundown: Researchers surveyed 305 healthcare workers at a university hospital in Istanbul between January and February 2026 and analyzed responses with structural equation modeling in SPSS and AMOS. Results indicated technostress plays a partial mediating role in the effects of openness to organizational change and attitude toward AI on innovative behavior, suggesting perceptions of technology shape behavior through stress responses. sources: - peer_reviewed | Journal of Health Organization and Management | https://doi.org/10.1108/jhom-03-2026-0376 | 2026-08-24 prev: 0000000000000000000000000000000000000000000000000000000000000000
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