Productivity & Performance Management
This research group explores the cluster of issues relating to Productivity and performance management in all types of organisations, sectors, contexts and countries, with key themes including:
- How productivity and value can or should be measured and how the advent of AI can inform and improve measurement;
- How performance management is related to productivity;
- Exploring what productivity gain is actually used for and how value is created.
Policymakers and business organisations are continually concerned about productivity, often for different reasons. At a national level the UK Government is concerned about the apparently large number of low-productivity firms, in terms of national competitiveness and the sustainability of growth potential of the economy, as well as holding the belief that increases in productivity will herald a return to an increase in living standards via a growth in wages. Conversely, businesses want to increase productivity to drive profitability or to maintain margin in periods of low growth and price competition.
The group conducts research exploring both the nature of productivity and how it could be measured, and the methods, enablers and barriers practitioners and organisations face in attempting to improve productivity. In conjunction with this we are involved in investigating how performance management of both people and processes are entwined with each other, and how these are related to productivity. Finally we are interested in how the potentially interdependent and recursive relationship between the progression of the productivity agenda and the focus on performance impacts on wellbeing and motivation of all people involved in and with organisations. The research group has a dual emphasis on knowledge generation in these areas and on project work and applied activity, working with businesses to apply it and transfer this to impact businesses’ productivity. At the same time we are bridging the divide between theory and practice by conducting research into the efficiency of these and other interventions, in order to inform and develop policy for the region and beyond. The research group is interested in revealing causal mechanisms by working in these research areas, so that both pure and intervention-based research can illuminate and stimulate policy discussion and formation.
How we work with industry
KTP Case Study
To develop and implement a data analytics and process improvement capability that will increase the productivity and growth capacity of the company.
Read more about our Knowledge Transfer Partnerships Case Study.