20.500.12556/DKUM-87045 Multi-criteria measurement of ai support to project management This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis was employed based on the extensive survey on AI in Slovenian companies and the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process. The synthesis and performance sensitivity analysis results show that in the service sector, concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria, have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper, therefore, contributes to the comparison of AI support to PM in service sector activities. The results can help AI development policymakers determine which activities need to be supported and which should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields. artificial intelligence factor analysis multiple criteria performance sensitivity project management umetna inteligenca faktorska analiza več meril vodenje projektov true false true IEEE Angleški jezik Slovenski jezik Znanstveno delo 2024-02-12 15:20:35 2024-02-12 15:38:51 2024-02-13 03:09:47 0000-00-00 00:00:00 2023 0 0 Str. 142816-142828 Letn. 11 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-11-17 2023-12-07 2023-12-13 005.8 179926787 10.1109/ACCESS.2023.3342276 2169-3536 Cancer-2023-Multi-Criteria_Measurement_of_AI_S.pdf Cancer-2023-Multi-Criteria_Measurement_of_AI_S.pdf 1 63802703739DDDC1D5CD36763E200CA2 90585563ad40ab8fffd39da73270955690ac10272b4e839b6f4d8aca8c02a3a1 6a6f13d7-c9b3-11ee-97b9-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=176095 https://ieeexplore.ieee.org/document/10355961 0 e732ccb6-c9b1-11ee-97b9-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=176094 Ekonomsko-poslovna fakulteta 0 0 0