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Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Story

Title data

Keller, Robert ; Stohr, Alexander ; Fridgen, Gilbert ; Lockl, Jannik ; Rieger, Alexander:
Affordance-Experimentation-Actualization Theory in Artificial Intelligence Research : a Predictive Maintenance Story.
2019
Event: 40th International Conference on Information Systems , 2019 Dec. 15-18 , Munich.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Affordance-Experimentation-Actualization Theory; Artificial Intelligence; Predictive Maintenance; Embedded Single-Case Study
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
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
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: 30 Sep 2019 10:08
Last Modified: 30 Sep 2019 10:08
URI: https://eref.uni-bayreuth.de/id/eprint/52506