Work

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

Year: 2019

Type: book-chapter

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 intelligenceenabled 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-experimentationactualization 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 affordanceexperimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular.

Source: ERef Bayreuth (University of Bayreuth)

Authors: Robert Keller, Alexander Stohr, Gilbert Fridgen, Jannik Lockl, Alexander Rieger

Institutions: University of Bayreuth, Augsburg University, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust

Language: English

Topic: Embodied and Extended Cognition

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2979096703

FWCI: 4.255

Cites:

Cited by: 18

Related to: 10