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TRUVACE RECORD VERSION
record: TRV-2026-2690
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:01:16.499877Z
status: published
lens: g_space
sector: health
headline: Examining the impact of artificial intelligence on physicians' performance: mediating effects of innovative work behavior and skills enhancement
dek: PURPOSE: While prior studies have explored artificial intelligence (AI) adoption in various sectors, the specific impact on employee performance in healthcare organizations remains underexamined, particularly regarding the mediating roles of innovative work behavior and skills enhancement. This study critically investigates whether AI adoption genuinely enhances employee performance or if its effects are overstated, scrutinizing the extent to which innovative work behavior and skills development mediate this rel…
gain_title: In a questionnaire survey of 240 healthcare professionals in a developing country, AI adoption was significantly and positively associated with employee performance, through more innovative work behavior and skills development.
problem_title: (none)
trace_subject: (none)
gain_reading: In a questionnaire survey of 240 healthcare professionals in a developing country, AI adoption was significantly and positively associated with employee performance, through more innovative work behavior and skills development.
gain_evidence: The results reveal a significant positive relationship between AI adoption and employee performance | AI adoption enhances innovative work behavior and skills development, which in turn positively influence employee performance
problem_reading: (none)
problem_evidence: (none)
quick_read: A peer-reviewed study in the Journal of Health Organization and Management surveyed 240 healthcare professionals and found a significant positive relationship between AI adoption and employee performance. The sample covered medical directors, heads of departments, attending physicians and fellows.

The link ran through two routes: AI adoption was associated with more innovative work behavior and with skills enhancement, and both were in turn associated with better performance. The authors tested this mediation model with structural equation modeling in SmartPLS.

The work was done in a developing context with technological and resource constraints, and the authors say user perceptions and skill development matter for successful AI implementation.
limitation: The evidence comes from a questionnaire of 240 healthcare professionals in a single developing context with technological and resource constraints, so results may not carry over to other settings.
tag: Evidence-backed gain
key_points: Researchers surveyed 240 healthcare professionals with a structured questionnaire. | Stratified random sampling covered medical directors, heads of departments, attending physicians and fellows. | Structural equation modeling in SmartPLS tested whether innovative work behavior and skills enhancement mediate the AI-performance link. | AI adoption showed a significant positive relationship with employee performance. | AI adoption was associated with more innovative work behavior and skills development, which in turn were associated with better performance. | The study was set in a developing context with technological and resource constraints.
rundown: The study asked whether AI adoption genuinely improves employee performance in healthcare organizations or whether its effects are overstated, a question the authors say has been underexamined in healthcare, especially in resource-constrained settings.

Data came from a structured questionnaire completed by 240 healthcare professionals. Stratified random sampling aimed at equitable representation across four groups: medical directors, heads of departments, attending physicians and fellows.

Analysis with SmartPLS structural equation modeling found that innovative work behavior and skills enhancement mediated the relationship between AI adoption and performance. The authors frame the work with socio-technical systems theory and resource-based view theory, and conclude that user perceptions and skill development are central to implementing AI successfully.
sources:
- peer_reviewed | Journal of Health Organization and Management | https://doi.org/10.1108/jhom-03-2025-0150 | 2026-05-26
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