We find ourselves in the fourth industrial revolution where the Internet of Things (IoT) drives data-driven decision-making. Smartphones, intelligent sensors, edge computing, cloud computing and artificial intelligence (AI) have become part of our daily lives.

For organisations to remain competitive in this fast-paced environment, they need to be agile and competent in data science. From a technology and innovation management perspective, organisations must prepare to compete in this environment. This requires technical and management skills.

Research in this area studies the application of data science tools and the management of this technology and its innovations.

• What are the research patterns in a specific field of study, and where are there gaps that require more attention?
• How can data science be used to make better predictions of the future?
• How do organisations improve their data-driven decision-making capabilities?
• How do organisations integrate data-driven decision making into strategic decision making?
• How do organisations sustainably and ethically apply these technologies?
• How should society/organisations manage the potential risks of these technologies?
• What are the implications of AI-enabled decision support systems in various sectors?

By researching these aspects, organisations/society will be enabled to sustainably and ethically use these technologies to improve competitiveness.

Study Leader(s)