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
Market segmentation methodology: attacking the 'Too Hard' basket. Businesses embrace market segmentation to identify and target clients. However, poor segmentation analysis leads to poor segment choice. This project will develop tools to improve segmentation analysis and will test the resulting tools in tourism, foster care and climate change mitigating behaviours, and produce usable, transferable recommendations.
Building ambidextrous capacity in service industries-a cross national study. This research aims to understand the employee and organisations factors responsible for achieving ambidexterity (that is, ability to achieve sales targets and excellent customer service, simultaneously) in service industries. Results will assist firms to increase productivity and be more competitive in domestic and international markets.
Optimal Fundraising Design in a Competitive Market: A Unifying Framework. Increased competition from over 57,000 registered charities and a recent 6% decrease in individual donations, have increased the need for charities to improve their fundraising strategies. This project aims to develop a comprehensive framework – based on theories from marketing, psychology, economics, sociology, and philanthropy— and develop novel methodologies to determine effective charitable fundraising strategies in ....Optimal Fundraising Design in a Competitive Market: A Unifying Framework. Increased competition from over 57,000 registered charities and a recent 6% decrease in individual donations, have increased the need for charities to improve their fundraising strategies. This project aims to develop a comprehensive framework – based on theories from marketing, psychology, economics, sociology, and philanthropy— and develop novel methodologies to determine effective charitable fundraising strategies in a competitive marketplace. Key outcomes will include the theoretical model, and tests using conjoint choice-experiments, controlled field experiments and 10 years of giving data from 4 million Australian donors. These outcomes will enhance fundraising practice, ensuring charities can better serve the Australian public.Read moreRead less
Patterns of Buyer Behaviour in China. A mainstream interest of marketers is the study of buyer behaviour (i.e., brand choice, repeat-purchase, switching, loyalty, segmentation, etc.) Much is known. But virtually all of this knowledge comes from Western studies. Yet non-Western nations, such as China, are now immensely important trading partners for the West.
This is the first systematic study of buyer behaviour in China to be based on formal analyses of consumer panel data. An assessment wil ....Patterns of Buyer Behaviour in China. A mainstream interest of marketers is the study of buyer behaviour (i.e., brand choice, repeat-purchase, switching, loyalty, segmentation, etc.) Much is known. But virtually all of this knowledge comes from Western studies. Yet non-Western nations, such as China, are now immensely important trading partners for the West.
This is the first systematic study of buyer behaviour in China to be based on formal analyses of consumer panel data. An assessment will be made of how our analytical models, and associated findings, extend to new conditions (e.g., new geographical markets, sub-regions, traditional Chinese goods, different groups of buyers, etc.).Read moreRead less
Modelling the Diffusion of Innovation in Marketing Research. This project will identify and explain the utilisation of marketing research in Australian organisations. The major (but not exclusive) focus will be the diffusion of Internet-based marketing research innovations. Previous studies of marketing research have been limited, through focussing on only one sector (such as tourism) or aspect of usage, or by using small samples, or by excluding important Internet innovations or managerial eval ....Modelling the Diffusion of Innovation in Marketing Research. This project will identify and explain the utilisation of marketing research in Australian organisations. The major (but not exclusive) focus will be the diffusion of Internet-based marketing research innovations. Previous studies of marketing research have been limited, through focussing on only one sector (such as tourism) or aspect of usage, or by using small samples, or by excluding important Internet innovations or managerial evaluations. This project will investigate the diffusion of marketing research across many industrial sectors, over several years. The project will yield "benchmarking" benefits of immediate value, and enduring benefits through the continuing evaluation of innovative research practices.Read moreRead less
Exploring Consumers' Switching and Loyalty Behaviours: Brand Relationship Dynamics. For marketers and academics, understanding the ways that consumers develop relationships with brands is of utmost importance. Brands may inspire loyalty, repeat purchases, continued use, and switching behaviour over time. Yet, continued brand usage and switching behaviours have not yet been studied systematically from a relationship perspective. Fournier's (1998) perspective on brand relationships is used to unde ....Exploring Consumers' Switching and Loyalty Behaviours: Brand Relationship Dynamics. For marketers and academics, understanding the ways that consumers develop relationships with brands is of utmost importance. Brands may inspire loyalty, repeat purchases, continued use, and switching behaviour over time. Yet, continued brand usage and switching behaviours have not yet been studied systematically from a relationship perspective. Fournier's (1998) perspective on brand relationships is used to understand changes in brand behaviours as changes in underlying consumer-brand relationships. This study, using qualitative semi-structured interviews and longitudinal brand diary keeping, will uncover the personal, social, and cultural meanings associated with brand-related changes, significantly advancing our understanding of brand relationship dynamics.
Read moreRead less