Profiling Accurate Segmentation Structures in Rural Communities. The proposed project has two aims - one aim is applied and pertains to Australia's rural community, and a second is methodological and pertains to methods of segmenting populations in a variety of contexts. These aims are 1) to identify a valid basis for segmenting Australia's rural community based on their choice behaviour and individual characteristics; and 2) to develop and test a staged approach for inferring market segments u ....Profiling Accurate Segmentation Structures in Rural Communities. The proposed project has two aims - one aim is applied and pertains to Australia's rural community, and a second is methodological and pertains to methods of segmenting populations in a variety of contexts. These aims are 1) to identify a valid basis for segmenting Australia's rural community based on their choice behaviour and individual characteristics; and 2) to develop and test a staged approach for inferring market segments utilising a joint approach which simultaneously accounts for individual characteristics and choice behaviour that is informed by non-parametric classification techniques to account for a variety of sources of heterogeneity, not just preference heterogeneity.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