Kenedict specialises in advisory based on the insights obtained from network analytics. Tangible, fact-based improvement opportunities and recommendations are drawn from analysis and visualisations and form the basis for clear benefits in various application areas.
The effectiveness of past policy measures can be tested by examining their effect on inventor collaboration or technology linkages. For instance, it becomes possible to directly test the effects of investments in employee incentive programs aimed at increasing collaboration by examining the underlying changes in the social network of inventors over a given time period. An examination of these effects provides a strong foundation for crafting future policy measures.
Secondly, clients benefit from tangible forward-looking policy recommendations in a variety of areas, based on improvements areas identified in the current network. Some examples:
- R&D Organisation structure: based on a geographically widely dispersed inventor network with a low average amount of collaborations between inventors, a recommendation might be to further centralise R&D activities to fewer locations;
- Human Resource Incentives: based on the identification of a number of key inventors occupying central positions in client’s inventor network, a recommendation would be to set up specialised bonuses and incentive schemes to further stimulate collaboration among other inventors as well;
- Knowledge Management: based on a gap in collaborations identified between two related technology areas, a recommendation would be to invest in a renewed knowledge management process to further facilitate knowledge transfer and subsequent collaboration between these areas.
Our advisory work incorporates various areas in Research & Development, including Open Innovation, Competitive Intelligence, Human Resource Management and R&D Policy & Strategy. Please refer to the Application Areas section to read up on the potential benefits of utilising network analytics in these areas.
