Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Th ....Increasing Visitor Frequency: approach to understanding and forecasting how cultural attraction visitors respond to various incentives to increase visitation rates. Museums have been steadily losing visitors over the past decade. While current research indicates that this may be attributed to greater leisure competition, little is understood about how people make choices to visit or not to visit cultural attractions. The aim of this project is to develop, demonstrate and test a Random Utility Theory (RUT)-based modelling approach allowing managers of cultural attractions to understand and predict the likely visitation consequences of potential initiatives. We wish to model visitor choices of museums versus other competing attractions to allow museums to identify specific strategic actions (or combinations) to achieve organisational goals.Read moreRead less
Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.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.
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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
Shrinking the food-print by creating consumer demand for sustainable and healthy eating. The negative impacts from the food choices made by many Australians are posing challenges to individual wellbeing and to maintaining a viable natural world. Drawing on innovative public health and consumer research, this project will identify opportunities for encouraging consumers to move towards more environmentally sustainable and healthy diets.
Industrial Transformation Research Hubs - Grant ID: IH120100021
Funder
Australian Research Council
Funding Amount
$2,500,000.00
Summary
Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainabil ....Pathways to market: transforming food industry futures through improved sensing, provenance and choice. Pathways to market: transforming food industry futures through improved sensing, provenance and choice. This Research Hub aims to transform the Australian food industry by demonstrating how new knowledge on food production and consumption generated through novel sensing technologies and advanced modelling techniques can be implemented in smart applications to power competitiveness, sustainability and innovation in food value chains.Read moreRead less