Engaging ethnic minority and majority blood donors in donor recruitment. Word-of-mouth is a potentially powerful way to recruit blood donors. Talking about donation increases awareness, trust, commitment and positive feelings about donating, particularly in ethnic minority groups. However, donors seldom tell others about donating. This project aims to determine how to motivate blood donors to recruit new donors using word-of-mouth, through research comprising co-design, surveys, and experiments. ....Engaging ethnic minority and majority blood donors in donor recruitment. Word-of-mouth is a potentially powerful way to recruit blood donors. Talking about donation increases awareness, trust, commitment and positive feelings about donating, particularly in ethnic minority groups. However, donors seldom tell others about donating. This project aims to determine how to motivate blood donors to recruit new donors using word-of-mouth, through research comprising co-design, surveys, and experiments. This project will generate new knowledge of how to encourage effective word-of-mouth for pro-social behaviours. Expected outcomes include producing culturally relevant, validated resources that will significantly benefit Australia by encouraging effective conversations to promote blood donation in all communities.Read moreRead less
Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to ....Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.Read moreRead less