Through the Cognitive Functions Lens - A Socio-technical Analysis of Predictive Maintenance

Alexander Stohr () and Jamie O’Rourke ()
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Alexander Stohr: Project Group Business and Information Systems Engineering of the Fraunhofer FIT
Jamie O’Rourke: University of Augsburg

A chapter in Innovation Through Information Systems, 2021, pp 182-197 from Springer

Abstract: Abstract 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.

Keywords: Artificial intelligence; Predictive maintenance; Cognitive functions; Embedded single-case study (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86797-3_13

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DOI: 10.1007/978-3-030-86797-3_13

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