Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications
dc.contributor.author | Alahmad, Rasha | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.date.accessioned | 2020-05-15T10:29:09Z | |
dc.date.available | 2020-05-15T10:29:09Z | |
dc.date.issued | 2020-05-16 | |
dc.identifier.citation | Alahmad, R. and Robert, L. P. (2020). Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications, Proceedings of the 26th Americas Conference on Information Systems, Aug 13-15, Salt Lake City, UT. | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/155362 | |
dc.description.abstract | In the age of Artificial Intelligence and automation, machines have taken over many key managerial tasks. Replacing managers with AI systems may have a negative impact on workers’ outcomes. It is unclear if workers receive the same benefits from their relationships with AI systems, raising the question: What degree does the relationship between AI systems and workers impact worker outcomes? We draw on IT identity to understand the influence of identification with AI systems on job performance. From this theoretical perspective, we propose a research model and conduct a survey of 97 MTurk workers to test the model. The findings reveal that work role identity and organizational identity are key determinants of identification with AI systems. Furthermore, the findings show that identification with AI systems does increase job performance. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | AMCIS 2020 | en_US |
dc.subject | algorithmic management | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | role identity | en_US |
dc.subject | job performance | en_US |
dc.subject | organizational identity | en_US |
dc.subject | IT identity | en_US |
dc.subject | Artificial Intelligence management | en_US |
dc.subject | sharing economy | en_US |
dc.subject | digital platforms | en_US |
dc.subject | social identity | en_US |
dc.subject | role identity theory | en_US |
dc.subject | organizational commitment | en_US |
dc.subject | AI systems | en_US |
dc.subject | workplace management | en_US |
dc.subject | algorithmic workplace management | en_US |
dc.subject | worker-manager identification | en_US |
dc.title | Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications | en_US |
dc.type | Conference Paper | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/155362/1/Alahmad and Robert 2020.pdf | |
dc.identifier.source | Proceedings of the 26th Americas Conference on Information Systems | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Alahmad and Robert 2020.pdf : Preprint | |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.owningcollname | Information, School of (SI) |
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