Integrating choice set formation and taste heterogeneity in market segmentation. This project develops a new model of consumer decision-making to provide managerial insights related to market segmentation, product portfolio optimisation and marketing communication strategies. The model can be specified for a particular product category using data collected from a novel elicitation instrument developed as part of this project.
Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and envi ....Improving external validity of stated choice experiments. This project aims to deliver more accurate estimates of choice behaviour by reducing biases due to choice task complexity in surveys as well as design artefacts. Extracting 'true' preferences is challenging, not only due to possible hypothetical bias, but also due to increasingly complex choice tasks and the existence of design artefacts. This project will investigate the latter two in the context of marketing, transport, health, and environmental economics, and proposes new methodologies to extract preferences that more closely reflect true behaviour in real markets.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
Econometric Models for Marketing Decision Making. This project aims to develop methods to more efficiently allocate marketing resources across a range of media, including new media, such as the internet and social media, and compare them with with traditional media such as television and newspapers. To achieve this, the project will develop new methods and econometric models that employ data that capture both exposure to advertising media and downstream purchases at the individual-level. The exp ....Econometric Models for Marketing Decision Making. This project aims to develop methods to more efficiently allocate marketing resources across a range of media, including new media, such as the internet and social media, and compare them with with traditional media such as television and newspapers. To achieve this, the project will develop new methods and econometric models that employ data that capture both exposure to advertising media and downstream purchases at the individual-level. The expected outcome is that Australian companies will make more efficient use of their marketing budget, and better assess how to integrate new and old media into multimedia marketing communication campaigns.Read moreRead less
Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex ....Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.Read moreRead less
Special Research Initiatives - Grant ID: SR0354611
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Management and Consumer Decision Making Network. This network brings together a multi-disciplinary research group to enhance frontier science in managerial/consumer decision making and choice behaviour. Our focus will on using our interaction to develop normative and descriptive theory by operationalising theories and methods from a mixture of disciplines. Individual/group decisions/choices underlie many aggregate societal phenomena like election outcomes, consumer demand, technology adoption, ....Management and Consumer Decision Making Network. This network brings together a multi-disciplinary research group to enhance frontier science in managerial/consumer decision making and choice behaviour. Our focus will on using our interaction to develop normative and descriptive theory by operationalising theories and methods from a mixture of disciplines. Individual/group decisions/choices underlie many aggregate societal phenomena like election outcomes, consumer demand, technology adoption, etc. Better understanding of such processes will lead to better models, better forecasts and better decision outcomes for Australia, and smarter use of information and data; something that can only come from a multi-disciplinary interaction of theory and method.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101463
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Reinforcement and undermining: the impact of innovative features on dual positioning and choice. Businesses require an understanding of how their features impact product choice in positive and negative ways. This research will advance our understanding of innovation by addressing the theory and practice of product positioning from a new perspective.