2023-09-11
Publication
Technovation
Quality Indicators
Peer Reviewed
Relevance to the Centre
Human systems are critical, yet often neglected in most guidelines and frameworks for data science. We address this concern by developing a systematic framework for understanding human systems that support data science innovations.
- A review of human system elements indicates that successful innovation requires supports at different levels of organisations, which combine to create the organisation's innovation capability.
- Drawing on a series of interviews with key innovators engaged in developing current data science innovations, a more complete picture of human systems in practice was developed.
- This study contributes to the advancement of innovation management theories and calls attention to guiding and engaging individuals through providing support and removing barriers at different organisational levels.
- More practically, innovation managers could use this as a guide to optimise work systems and inform pathways to improve organisation data science efforts.