The Service Systems research group at WMG works in collaboration with large organisations such as GlaxoSmithKline, Rolls-Royce, BAE Systems, IBM, Ministry of Defence as well as with SMEs researching into value constellations, new business models and value-creating service systems of people, product, service and technology.The group conducts research that is capable of solving real problems in practice (ie. how and what do do), while also understanding theoretical abstractions from research (ie. why) so that the knowledge results in high-level publications necessary for its transfer across sector and industry. This approach ensures that the knowledge we create is relevant, impactful and grounded in research.In particular, we pursue the knowledge of service systems for value co-creation that is replicable, scalable and transferable so that we can address some of the most difficult challenges faced by businesses, markets and society.
Research StreamsThe WMG Service Systems research group conducts research that is capable of solving real problems in practice, and also to create theoretical abstractions from or research that is relevant and applicable across sector and industry, so that the impact of our research is substantial.The group currently conducts research under six broad themes: (Australia) as well as at the 42 nd Australian Conference of Economists in Perth (Australia) for many insightful comments. Finally, the authors very much appreciate the efforts of referees and an editor, which have greatly improved the final version of this paper.
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Measuring Individual Risk Attitudes when Preferences are Imprecise By Graham Loomes and Ganna Pogrebna AbstractThere is widespread interest in measuring risk attitudes and incorporating such measures into broader econometric analyses. We consider three elicitation procedures currently in use. We find considerable variability within -and even more, between -the results they produce. We suggest that this reflects the way that different instruments interact with imprecise underlying preferences. The short run implication is that such procedures need to be used with caution and are likely to be highly context-specific. The longer run implication is that adding 'white noise' to deterministic models is inadequate: we need to develop models that allow for imprecision and procedural variation.