Towards a socio-specific artificial intelligence adoption framework

Abstract

Organisations need to be able to adopt AI successfully, but also responsibly. This requirement is not trivial, as AI can deliver real value to adopters. However, can also result in serious impacts on humans. AI’s technical capabilities make AI powerful, still the implementation of AI in organisations is not limited to the technical elements and requires a more holistic approach. An AI implementation within an organisation is a socio-technical system, with the interplay between social and technical components. When AI makes decisions that impact people, the socio considerations in AI adoption frame- works are paramount. Although technical adoption challenges are well researched and can overlap with aspects associated with traditional IT implementations, artificial intelli- gence adoption often faces additional social implication. This study focuses on these social challenges, which is a problem frequently experienced by many organisations. The study investigates how an organisation can increase adoption of AI as part of its quest to become more data-driven. This study was conducted at an automotive manufacturer’s analytics competence centre, located in South Africa. This paper describes the first iteration of a larger research effort that follows the design science research methodology. A socio-specific artificial intelligence adoption framework was created and can be used by organisations to help them succeed with their AI adoption initiatives in a responsible manner.

Delivering Digital Healthcare for Elderly: A Holistic Framework for the Adoption of Ambient Assisted Living

“…However, AAL technologies have not been broadly implemented to complement the conventional methods of taking care of the elderly [ 11 , 12 ]. Developing AAL technology-enabled healthcare services that are accepted and used effectively by the elderly is a complex process because it involves many inter-related factors such as individual and family involvement [ 7 ], private and public institutions [ 13 ], and technology [ 14 ] as a support for interventions. Smit and Eybers (2022) [ 14 ] gathered an unexhaustive list—and provided a critique—of theoretical frameworks on technology adoption, including the technology acceptance model (TAM) [ 15 ] the theory of planned behaviour (TPB) [ 16 ] the theory of reasoned action (TRA), and the technology-organisation-environment (TOE) framework [ 17 ], and found that these technological adoption theoretical frameworks are either focusing on the individual level or on the organisational level.…”

“…Developing AAL technology-enabled healthcare services that are accepted and used effectively by the elderly is a complex process because it involves many inter-related factors such as individual and family involvement [ 7 ], private and public institutions [ 13 ], and technology [ 14 ] as a support for interventions. Smit and Eybers (2022) [ 14 ] gathered an unexhaustive list—and provided a critique—of theoretical frameworks on technology adoption, including the technology acceptance model (TAM) [ 15 ] the theory of planned behaviour (TPB) [ 16 ] the theory of reasoned action (TRA), and the technology-organisation-environment (TOE) framework [ 17 ], and found that these technological adoption theoretical frameworks are either focusing on the individual level or on the organisational level. For example, the TOE framework [ 18 ] explains technology adoption in organisations and illustrates how technological context, organisational context, and environmental context influence the process of adopting and implementing technological advances.…”