Artificial Intelligence (AI) can transform organisations, industries, and ecosystems. However, how different organisations in a given ecosystem perceive the action potentials of AI (i.e., AI affordances) has not been researched. To advance the AI affordances research and develop a nomological net of organisational and ecosystem factors that influence the AI affordances perception, this paper contributes a conceptual framework with the context of the mobility ecosystem transformation. The framework draws from two theories: the affordances theory and the social cognitive theory. The paper presents an in-depth interpretation of these theories for the perception of AI affordances and develops propositions to explain two distinct types of affordances perceptions: vicarious and autonomous. Our conceptual work offers a foundation for developing models for prediction and opens new avenues of investigating AI affordances perception. Future research could further test and validate the framework.
Li, Mingye; Molla, Alemayehu; and Duan, Sophia, "AI Affordances Perception for the Transformation of Mobility Ecosystems" (2021). ACIS 2021 Proceedings. 76.