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bjmsr-2442	www.cribfb.com	https://www.cribfb.com/journal/index.php/bjmsr
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0)
bjmsr-2442	doi.org	https://doi.org/10.46281/a7zcns96
bjmsr-2442	doi.org	https://doi.org/10.46281/a7zcns96
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0/
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0/
bjmsr-2442	www.openaccess.nl	https://www.openaccess.nl/en
bjmsr-2442	doi.org	https://doi.org/10.46281/a7zcns96
bjmsr-2442	orcid.org	https://orcid.org/0000-0001-5867-3986
bjmsr-2442	orcid.org	https://orcid.org/0009-0009-9743-211x
bjmsr-2442	orcid.org	https://orcid.org/0000-0002-7105-0713
bjmsr-2442	orcid.org	https://orcid.org/0009-0001-1433-017x
bjmsr-2442	doi.org	https://doi.org/10.1007/s10639024-13113-z
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-33731917-9.ch010
bjmsr-2442	doi.org	https://doi.org/10.1108/jsit-08-2024-0297
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-9286-7.ch007
bjmsr-2442	doi.org	https://doi.org/10.1007/978-3-031-75589-7_2
bjmsr-2442	doi.org	https://doi.org/10.1111/joes.12694
bjmsr-2442	doi.org	https://doi.org/10.1080/0023656x.2025.2477153
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-8562-3.ch006
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-4187-2.ch002
bjmsr-2442	doi.org	https://doi.org/10.1016/j.techfore.2016.08.019
bjmsr-2442	doi.org	https://doi.org/10.4018/979-83693-4187-2.ch013
bjmsr-2442	doi.org	https://doi.org/10.3390/journalmedia6010031
bjmsr-2442	doi.org	https://doi.org/10.1007/978-3031-71649-2_54
bjmsr-2442	doi.org	https://doi.org/10.1007/978-0-387-30164-8_425
bjmsr-2442	doi.org	https://doi.org/10.1007/978-3-031-75589-7_5
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-7076-6.ch010
bjmsr-2442	doi.org	https://doi.org/10.1080/1097198x.2025.2454097
bjmsr-2442	doi.org	https://doi.org/10.1108/jkm-01-2024-0111
bjmsr-2442	doi.org	https://doi.org/10.1108/scm-09-2024-0558
bjmsr-2442	doi.org	https://doi.org/10.7753/ijcatr1402.1005
bjmsr-2442	doi.org	https://doi.org/10.1007/s43681-025-00661-4
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-7036-0.ch012
bjmsr-2442	doi.org	https://doi.org/10.3390/systems13030209
bjmsr-2442	doi.org	https://doi.org/10.1007/s00146-025-02180-6
bjmsr-2442	doi.org	https://doi.org/10.1504/ijbpm.2022.119555
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-36936547-2.ch005
bjmsr-2442	doi.org	https://doi.org/10.1108/jstpm02-2023-0030
bjmsr-2442	doi.org	https://doi.org/10.3390/app15063337
bjmsr-2442	doi.org	https://doi.org/10.1111/joms.13195
bjmsr-2442	doi.org	https://doi.org/10.1023/a:1009745219419
bjmsr-2442	doi.org	https://doi.org/10.1007/978-3-031-83807-1_9
bjmsr-2442	doi.org	https://doi.org/10.1080/20523211.2024.2449051
bjmsr-2442	doi.org	https://doi.org/10.4018/979-8-3693-73576.ch010
bjmsr-2442	doi.org	https://doi.org/10.1108/sl-05-2024-0040
bjmsr-2442	www.kaggle.com	https://www.kaggle.com/datasets/martnpereira/ai-adoption-and-automation-risk-san-francisco-ca
bjmsr-2442	www.forbes.com	https://www.forbes.com/councils/forbestechcouncil/2024/03/12/the-future-of-work-embracing-ais-job-creationpotential
bjmsr-2442	www.pwc.com	https://www.pwc.com/m1/en/publications/potential-impact-artificial-intelligence-middle-east.html
bjmsr-2442	doi.org	https://doi.org/10.30574/ijsra.2025.14.2.0398
bjmsr-2442	doi.org	https://doi.org/10.1016/j.stae.2024.100085
bjmsr-2442	doi.org	https://doi.org/10.1007/978-1-4419-9863-7_1371
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0)
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0)
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0
bjmsr-2442	creativecommons.org	http://creativecommons.org/licenses/by/4.0