Abstract
This article describes cooperation between authorities and universities in order to increase innovation capacity and thereby achieve change in performance and execution for better contribution to a sustainable future. Through action research, the authors have developed new knowledge about dialogical organisational development as a method for increasing innovation capacity. The paper recognises that administrative and adaptive leadership must work together effectively if organisations are to function properly and that the complexity cannot be controlled with complicated systems; adaptation is more important than fixing administrative structures. There is a need for a dynamic relationship between the formal and the informal in organisations—between top-down administrative forces and complex, adaptive and emergent forces. The study also shows that there is a need for a wider range and simultaneous use of management models adapted to different contexts and needs.
Highlights
The UN Agenda 2030 with its Sustainable Development Goals (SDGs) is universal
The study is based on the theory of Dialogic Organization Development (DOD) to test what DOD can mean in the context of public agencies working with the aim to create good conditions for authorities to contribute to the objectives of Agenda 2030
To answer RQ 1, we report what the DOD-driven project Innovation Lab 2030 has contributed to increase the innovation capacity aimed at increasing the ability of public authorities to contribute to the achievement of agenda 2030
Summary
The UN Agenda 2030 with its Sustainable Development Goals (SDGs) is universal. All countries are expected to implement the agenda at both the national and international level. The SDGs constitute a unique and challenged goal for socially, economically and ecologically sustainable development in the world. This requires a restructuring of the way society behaves. Public organisations need to be responsive, agile and renew their delivery. The sustainability challenges create challenges that are sometimes called wicked problems as it is difficult to see what happens in the system when trying to solve the problems.
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