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
Discovery Early Career Researcher Award - Grant ID: DE220100100
Funder
Australian Research Council
Funding Amount
$440,524.00
Summary
The Role of Emotions in Marketing Cultured Meat. Traditional agriculture has a strong environmental impact. One solution to reduce this impact is cultured meat, which is meat created via a cell culture, rather than from a slaughtered animal. This project aims to examine the role of emotions in promoting consumer acceptance, which is the greatest barrier facing the commercialisation of cultured meat. The expected outcome is insight into factors influencing the acceptance of cultured meat, allowin ....The Role of Emotions in Marketing Cultured Meat. Traditional agriculture has a strong environmental impact. One solution to reduce this impact is cultured meat, which is meat created via a cell culture, rather than from a slaughtered animal. This project aims to examine the role of emotions in promoting consumer acceptance, which is the greatest barrier facing the commercialisation of cultured meat. The expected outcome is insight into factors influencing the acceptance of cultured meat, allowing development of effective marketing communication strategies. This should provide benefits including reduced environmental and ethical impact of conventional meat and improvement to Australian agribusiness. Similar strategies could also potentially be applied to other emerging food technologies.Read moreRead less
Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the us ....Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the use of digital technology with humanness. Expected outcomes include the development of an Australian-first evidence-based digital resource kit, including two new tools, and a new co-designed roadmap to better facilitate this important change journey to enhance patient experience, employee wellbeing and clinic performance.
Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100527
Funder
Australian Research Council
Funding Amount
$1,051,456.00
Summary
Transforming harvest surplus into nutritious meals for food relief. The project aims to transform currently wasted harvest surplus into nutritious shelf-stable plant-based products for the food-relief sector. It integrates novel social-enterprise models with advanced food manufacturing and bespoke training and volunteering opportunities for food insecure individuals, to facilitate their pathway out of food insecurity. In close collaboration with food relief supply-chain provider Foodbank SA and ....Transforming harvest surplus into nutritious meals for food relief. The project aims to transform currently wasted harvest surplus into nutritious shelf-stable plant-based products for the food-relief sector. It integrates novel social-enterprise models with advanced food manufacturing and bespoke training and volunteering opportunities for food insecure individuals, to facilitate their pathway out of food insecurity. In close collaboration with food relief supply-chain provider Foodbank SA and policymaker Green Industries SA, the project will tackle two major problems for Australia – food insecurity and food waste – through systems thinking and leveraging underused resources, while building collaborations across academia and multiple industry sectors.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