Reference : Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research :...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Business & economic sciences : Management information systems
Security, Reliability and Trust
http://hdl.handle.net/10993/44532
Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Story
English
Keller, Robert [> >]
Stohr, Alexander [> >]
Fridgen, Gilbert mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Lockl, Jannik [> >]
Rieger, Alexander mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
2019
40th International Conference on Information Systems
Yes
Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Story
15-12-19 to 18-12-19
[en] Affordance-Experimentation-Actualization Theory; Artificial Intelligence; Predictive Maintenance; Embedded Single-Case Study
[en] 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 exploration’ 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://hdl.handle.net/10993/44532
https://aisel.aisnet.org/icis2019/is_development/is_development/1/

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