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Affordance-experimentation-actualization theory in artificial intelligence research - A predictive maintenance story

 
: Keller, R.; Stohr, A.; Fridgen, G.; Lockl, J.; Rieger, A.

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Krcmar, H. ; Association for Information Systems -AIS-:
40th International Conference on Information Systems, ICIS 2019. Proceedings. Online resource : Munich, Germany, December 15-18, 2019
AIS Electronic Library (AISeL), 2019
https://aisel.aisnet.org/icis2019/
ISBN: 978-0-9966831-9-7
17 pp.
International Conference on Information Systems (ICIS) <40, 2019, Munich>
English
Conference Paper, Electronic Publication
Fraunhofer FIT ()

Abstract
Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research could further benefit from incorporating technological features, human actors, and organizational goals into the examination of artificial intelligence-enabled systems. This integrative perspective is crucial for effective implementation. Our study intends to fill this gap by introducing affordance-experimentation-actualization theory to artificial intelligence research. In doing so, we conduct a case study on the implementation of predictive maintenance using affordance-experimentation-actualization theory as our theoretical lens. From our study, we find further evidence for the existence of the experimentation phase during which organizations make new technologies ready for effective use. We propose extending the experimentation phase with the activity of 'conceptual expl oration' in order to make affordance-experimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular.

: http://publica.fraunhofer.de/documents/N-596098.html