Wicked defaults: how to overcome the dark side of choice architecture. This project aims to investigate how defaults and product complexity might be used to exploit consumers in environments like private insurance where consumers are prone to making systematic errors. Defaults are used to nudge individuals into socially beneficial actions such as increasing their retirement savings and joining organ donor lists. However, in the hands of firms, defaults can also be used to exploit consumers by en ....Wicked defaults: how to overcome the dark side of choice architecture. This project aims to investigate how defaults and product complexity might be used to exploit consumers in environments like private insurance where consumers are prone to making systematic errors. Defaults are used to nudge individuals into socially beneficial actions such as increasing their retirement savings and joining organ donor lists. However, in the hands of firms, defaults can also be used to exploit consumers by encouraging choices that help the firm but disadvantage consumers. The project intends to study experimentally whether exploitation can be reduced via competition and reputation building systems based on consumer feedback.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