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Will AI be an Enabler for Employees or a Stressor that Threatens their Performance? 

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Gînguță, A., Ștefea, P., Noja, G. G., & Munteanu, V. P. (2023) Ethical impacts, risks and challenges of artificial intelligence technologies in business consulting: A new modelling approach based on structural equations. Electronics, 12(6), 1462. MDPI AG.  http://dx.doi.org/10.3390/electronics12061462

 

Loureiro S.M.C., Bilro R.G., & Neto D., (2023) Working with AI: Can stress bring happiness? Serv Bu.. http://doi: 10.1007/s11628-022-00514-8. 

 

Ntoutsi .,, Fafalios P., & Gadiraju U., (2020) Bias in data-driven artificial intelligencesystems—An introductory survey. WIREs Data Mining Knowl Discov. 10:e1356.https://doi.org/10.1002/widm.

 

Paigude, S., Pangarker, S.C., & Hundekari, S.,  Mali, M., Wanjale, K. & Dongre, Y. (2023) Potential of artifical intellgence in boosting employee retention in the human resource industry. International Journal on Recent and Innovation Trends in Computing and Communication.  https://doi.org/10.17762/ijritcc.v11i3s.6149 

 

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Wei W., & Li L. (2022) The impact of artificial intelligence on the mental health of manufacturing workers: the mediating role of overtime work and the work environment. Front Public Health.  10.3389/fpubh.2022.862407. PMID: 35480579; PMCID: PMC9035848.

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