Evaluation of effective innovation adoption
Program Leads:
Professor Benno Torgler
Professor Marit Kragt
Improving policy by evaluating the additive effects of government agencies and departments
This project combines data from multiple government organisations, such as education, health, justice, housing and transport, to provide an opportunity to identify causative relationships of the need, or increased need, for health care services. Identifying such causative relationships provides an opportunity to improve policy, improve planning and ultimately improve the wellbeing of Queenslanders. This project will provide a better understanding of the interplay between different government departments.
Evaluating organisational success in innovation
The effectiveness of market translation of innovative technologies is determined by organisations, behaviours of individuals within the organisation and market conditions. Focussing on Stryker’s innovations in medical technology this project analyses existing business data as well as behavioural experiments to evaluate drivers and key elements of an organisational success in innovation.
Digital platforms to provide multi-level support for clients with special needs
Innovation often requires collaboration among stakeholders within different organisations and at different levels. This project develops an innovation platform to facilitate: (i) collaboration among the key actors within a complex service ecosystem; (ii) identification of the resources and infrastructure needed to support ongoing innovation; (iii) articulation of where policies and processes inhibit innovation; in order to support (iv) the ideation of new business models that will lead to new service delivery approaches. A key feature of the platform is the incorporation of advanced analytics to aid evaluation.
Evaluation of the barriers to technology with high productivity value
Australian meat processors are looking at technology as one of the ways to keep Australia’s red meat industry competitive in global markets. Advanced manufacturing systems, such as automation, can improve the efficiency of operations but are not widely adopted by meat processors. Partner organisations are seeking insights and solutions into the barriers to adoption of technologies with clear productivity values.
Integrated technology platforms to increase benefits to users
Many innovations are introduced as stand-alone technologies or platforms, overwhelming markets and users. Integrating and leveraging new technologies with others that serve different but complementary purposes could improve outcomes for users as well as small or start-up technology developers. This project studies how preferences vary across user types (e.g. farmers, consultants) in their adoption of new technologies (i.e. early adopters, pragmatists, conservatives), and whether technology integration can act as an incentive for innovation.
Cyber security and senior decision-makers – a view from the top
Boards of directors and senior executives sit at the apex of the corporation/government departments and are ultimately accountable for the decisions made within the organisations they govern. A key challenge facing boards/senior management groups is their need to understand increasingly complex topics such as cyber security to both chart a strategy and monitor organisational performance. This project will identify how organisation specific cyber security knowledge develops in boards/senior management groups. Specifically, the project will identify how information asymmetries develop over time, and possible interventions to reduce these asymmetries.
Evaluating the impact of technologically-based services on pro-environmental outcomes
This project will: (a) predict how rapid uptake of a technologically-based service model (such as MaaS) would accelerate the reduction in emissions by shifting a significant portion of the transport task to electric (or hydrogen) fleet vehicles; (b) model how shifting to a MaaS service model impacts a range of transport outcomes such as energy efficiency/ emissions, congestion and safety; and (c) identify the effect of MaaS on cyber-wellbeing of end-users.
