A Process-Based Framework for Open Innovation with Social Media Data. This project aims to improve the capacity of Australian businesses to derive value from social media data for innovation in an efficient manner, which is central to improving Australia’s global competitiveness. This will be achieved by developing an open innovation process-based framework for social media, which utilises advanced analytics to unlock the value of social media data and provides the analytics tools required at ea ....A Process-Based Framework for Open Innovation with Social Media Data. This project aims to improve the capacity of Australian businesses to derive value from social media data for innovation in an efficient manner, which is central to improving Australia’s global competitiveness. This will be achieved by developing an open innovation process-based framework for social media, which utilises advanced analytics to unlock the value of social media data and provides the analytics tools required at each stage of the innovation process. The resulting outputs will allow local businesses to transform social media data into actionable insights for each of the three stages of the open innovation process through machine learning and social network analysis algorithms.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100269
Funder
Australian Research Council
Funding Amount
$448,117.00
Summary
Maintaining Human Expertise in an AI-driven World. While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes w ....Maintaining Human Expertise in an AI-driven World. While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes workers' skills. Its expected outcomes include a new systems theory of skill erosion and organisational guidelines for managing artificial intelligence. These can help organisations maximise human potential by striking a balance between relying on automation and maintaining workers' skills. Read moreRead less