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
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.