Drs. Inge van der Beijl
- Human behaviour
- Organisational innovation
We focus on five social themes.
TNO cooperates with companies, the public sector and other organisations, to apply our knowledge and expertise with and for others.
We develop knowledge not for its own sake, but for practical application.
TNO offers you the chance to do groundbreaking work and help customers and society with innovative, practical and smart solutions.
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We develop and apply knowledge in the field of social innovation. On the one hand, the focus lies on interventions for behavioural change to accelerate the acceptance of 'new' behaviour by customers and citizens. On the other hand, we examine (online) ways of cooperating in coalitions. We research success and failure factors as well as the design of management and control in cross-organisational partnerships.
Human Behaviour & Organisational Innovation helps organisations to cooperate more effectively at user, organisation and chain levels. We focus on two aspects:
We focus on influencing human behaviour using technology, with the realisation that:
We study the influence of technology on behavioural change: online environments can release enormous social forces, as during the Arabian Spring. New platforms emerge to further shape social experiences and influence opinion. Armed with this knowledge we have a powerful tool for (or against!) behavioural change. Such tools include:
Societal challenges in areas like energy, mobility and security are so complex that government, industry, citizens and consumers have to cooperate in order to solve them. Our expertise is the facilitation of networked, cross-organisational partnerships that require a base for (online) cooperation, management & control. Like crisis management, network management of infrastructure such as waterways, roads and rail, trans-sectoral partnerships in providing a renewable energy supply. Recommendations are geared to the organisation of (online) cooperation through facilitating the base and structuring the process.
Examples of our methods are:
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