AI in Business and Society

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Paper Number

1578

Paper Type

short

Description

One of the UN Sustainable Development Goals (SDGs) is to transform urban mobility to be more accessible, efficient, safe, and sustainable. Artificial Intelligence (AI) can be applied to address some critical urban mobility issues and facilitate the achievement of SDGs. However, there is a need to understand how mobility ecosystem organisations use AI in alignment with their organisational goals to contribute to SDGs. To address this puzzle, this study draws on the affordance theory and preliminary interviews with ten key informants from mobility organisations in Australia. The preliminary findings show that mobility organisations’ exploitation of AI systems and technologies leads to the emergence of decarbonising, optimising, conditioning asset management, and provisioning customer-centric services. To do so, they develop AI literacy, business-IT collaboration, change management, and technology and data foundation. The paper contributes a tentative framework linking AI affordances with mobility-related SDGs, serving as a guide for future research and practice.

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Dec 11th, 12:00 AM

AI Affordance Actualisation: Empirical Evidence from Mobility Ecosystem Organisations

One of the UN Sustainable Development Goals (SDGs) is to transform urban mobility to be more accessible, efficient, safe, and sustainable. Artificial Intelligence (AI) can be applied to address some critical urban mobility issues and facilitate the achievement of SDGs. However, there is a need to understand how mobility ecosystem organisations use AI in alignment with their organisational goals to contribute to SDGs. To address this puzzle, this study draws on the affordance theory and preliminary interviews with ten key informants from mobility organisations in Australia. The preliminary findings show that mobility organisations’ exploitation of AI systems and technologies leads to the emergence of decarbonising, optimising, conditioning asset management, and provisioning customer-centric services. To do so, they develop AI literacy, business-IT collaboration, change management, and technology and data foundation. The paper contributes a tentative framework linking AI affordances with mobility-related SDGs, serving as a guide for future research and practice.

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