at Google ScholarTitle data
Stohr, Alexander ; O'Rourke, Jamie:
Through the Cognitive Functions Lens : A Socio-Technical Analysis of Predictive Maintenance.
In:
Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI). -
Duisburg, Germany
,
2021
Project information
| Project title: |
Project's official title Project's id Projektgruppe WI Künstliche Intelligenz No information |
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Abstract in another language
The effective use of artificial intelligence promises significant business value. Effective use, however, requires a thorough exploration of its strengths and weaknesses from different perspectives. Information systems research is particularly invested in the management and use of artificial intelligence in organizations. It has proposed the use of cognitive functions to guide this exploration. In this paper, we evaluate the usefulness of such a cognitive functions lens for a relatively mature application of artificial intelligence, predictive maintenance. Our evaluation is informed by the insights we collected from an embedded single-case study. We find that a cognitive functions lens can indeed be a useful tool to explore artificial intelligence. In particular, it can aid the allocation of tasks between human agents and artificial intelligence-based systems and the design of human-AI hybrids. It is particularly helpful for those who investigate the management of artificial intelligence.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Artificial intelligence; Predictive maintenance; Cognitive functions; Embedded single-case study |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 13 Jan 2021 07:59 |
| Last Modified: | 04 Aug 2022 07:22 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/61679 |