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How AI transforms the workplace: implications for creativity, risk-taking and social innovation

Mehdi Hassanzadeh et al.

Aslib Journal of Information Management2026https://doi.org/10.1108/ajim-05-2025-0289article
AJG 1
Weight
0.50

What the paper says

Purpose This study explores how artificial intelligence (AI) influences employees' social innovation at work, using the stimulus-organism-response (SOR) framework. Particularly, we examine whether AI impacts social innovation directly or indirectly through its effects on employee creativity and risk-taking. Furthermore, the study investigates the moderating role of employees' trust in AI. Design/methodology/approach Data were gathered from 243 employees across 12 AI-integrated financial organizations in Iran with the use of the stratified random sampling method and analyzed using partial least squares structural equation modeling (PLS-SEM). Findings The findings suggest that AI does not directly drive social innovation. Instead, its impact occurs through employees' creativity and willingness to take risks. Moreover, trust in AI amplifies the positive relationship between AI adoption and both creativity and risk-taking, but it does not moderate the direct relationship between AI use and social innovation. Originality/value This study specifically addresses whether AI fosters employees' creativity, risk-taking and social innovation within the financial sector. The analyses highlight the importance of employee trust and individual factors, such as creativity and risk-taking, in unlocking AI's innovative potential in the workplace.

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https://doi.org/https://doi.org/10.1108/ajim-05-2025-0289

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@article{mehdi2026,
  title        = {{How AI transforms the workplace: implications for creativity, risk-taking and social innovation}},
  author       = {Mehdi Hassanzadeh et al.},
  journal      = {Aslib Journal of Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/ajim-05-2025-0289},
}

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How AI transforms the workplace: implications for creativity, risk-taking and social innovation

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.