Examining the effectiveness of co-creation practices on health outcomes. This projects aims to examine how patients interact collaboratively with multiple stakeholders in a health system (co-creation). Governments and health-care providers continually seek new ways to be more efficient and to create more effective health service outcomes. This research aims to identify why co-creation will be important in the formulation of future health policy. The project plans to assess patient-centred practi ....Examining the effectiveness of co-creation practices on health outcomes. This projects aims to examine how patients interact collaboratively with multiple stakeholders in a health system (co-creation). Governments and health-care providers continually seek new ways to be more efficient and to create more effective health service outcomes. This research aims to identify why co-creation will be important in the formulation of future health policy. The project plans to assess patient-centred practices using qualitative and quantitative health outcome measures and to model the patient’s end-to-end journey by developing new metrics. The intended outcomes are practical guidelines to help health professionals focus on the most effective co-creation activities and interactions. The research aims to determine how co-creation practices shape a service ecosystem by examining the effectiveness of a patient-centred approach on health care service outcomes. Findings will improve the implementation of health care practices.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
Employment outcomes for people with disabilities: enhancing fit perceptions of jobseekers, employment agencies, community members and employers. Nearly four million people in Australia have a disability. People with disabilities experience a high unemployment rate. Current policy encourages the placement of disabled job seekers in disability-focused enterprises. This project will identify strategies to facilitate the placement of disabled job seekers in mainstream organisations.
Modelling Multidimensional Multiparty Decisions to Improve Outcomes. The project plans to explore a new multiparty model of decision-making, focusing on medical care. Every day, consumers make many decisions. While many are relatively trivial, some are critical to individual wellbeing including adherence to medical treatment plans. Moreover, many of these critical decisions involve complex and multidimensional trade-offs. This project intends to break from tradition by conceptualising complex de ....Modelling Multidimensional Multiparty Decisions to Improve Outcomes. The project plans to explore a new multiparty model of decision-making, focusing on medical care. Every day, consumers make many decisions. While many are relatively trivial, some are critical to individual wellbeing including adherence to medical treatment plans. Moreover, many of these critical decisions involve complex and multidimensional trade-offs. This project intends to break from tradition by conceptualising complex decision-making as multiparty (primarily the focal consumer, parents/carers and medical experts) rather than being confined to an expert–customer dyad. The project plans to investigate how complex multiparty decisions are made, measuring the relative influence of each of the parties on the formation of collective preferences. The project expects to test new theory, develop new measurement tools for studying choice, and to provide practical recommendations.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.
Funding our future: perceptions of the value of financial planning advice. This project will examine how perceptions of the value of financial planning advice are formed over time. If this is understood then both government and the industry can develop better strategies to encourage those who can benefit from financial advice to recognise and gain value from the service.
Examining the role of service innovation and service branding capabilities in services firms value creation and appropriation: a multi-level study. This project examines how service firms' innovation and branding capabilities help them create superior value for customers, as well as obtain higher profit ensuring their sustainability. Our findings will help improve the efficiency of Australian service firms and provide higher profiles to its academic contributions to services research globally.
Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in pu ....Next generation Customer Relationship Management (CRM) framework through intelligence and relationships from multiple information sources. In the current competitive times, organisations need to improve their service delivery and customer care processes and provide customised service to customers. This project develops a Customer Relationship Management (CRM) framework that can extract intelligence and relationships from multiple data sources to improve customer management and satisfaction in public and private organisations.Read moreRead less