Title: Network visualisations of knowledge assets: their value and user experiences for innovation development
Authors: Martha G. Russell; Kaisa Still; Jukka Huhtamäki
Addresses: Human Sciences Technology Advanced Research Institute, Stanford University, Cordura Hall, 200 Panama St, Stanford, CA 94305, USA ' VTT Technical Research Centre of Finland Ltd, Innovation, economy and policy team, Kaitoväylä 1, 90571 Oulu, Finland ' IIS Lab, Tampere University of Technology, Korkeakoulunkatu 3, 33720 Tampere, Finland
Abstract: This paper explores the value of network visualisations for presenting complex knowledge assets to executive decision-makers in order to develop culturally relevant insights for programme development. The value is first addressed with an analysis of network visualisation process called 'Ostinato', an operational context in relation to cognitive fit as a theoretical context. Then, value is explored with an analysis using taxonomy of interactive dynamics for visual analytics. Furthermore, evaluating the usability of visualisation is conducted in the context of the Parisian ecosystem, with board members using network visualisations to explore complex multi-layered knowledge about relationships among key executives, companies and financing organisations. All findings support the argument that value of knowledge assets in problem-solving performance depends on both format of the data and nature of the task. Furthermore, the findings support the importance of continual involvement and interaction between data analysts and decision-makers; they highlight the importance of considering knowledge assets as value drivers that can support knowledge-based innovation.
Keywords: ecosystem; innovation development; network visualisation; user experience; visual analysis tool; visual analytics.
International Journal of Management and Enterprise Development, 2017 Vol.16 No.3, pp.221 - 242
Available online: 17 Apr 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article