TUTCRIS Research Portal

TY - JOUR

T1 - Network visualisations of knowledge assets

T2 - Their value and user experiences for innovation development

AU - Russell, Martha G.

AU - Still, Kaisa

AU - Huhtamäki, Jukka

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Ecosystem

KW - Innovation development

KW - Network visualisation

KW - User experience

KW - Visual analysis tool

KW - Visual analytics

U2 - 10.1504/IJMED.2017.085053

DO - 10.1504/IJMED.2017.085053

M3 - Article

VL - 16

SP - 221

EP - 242

JO - International Journal of Management and Enterprise Development

JF - International Journal of Management and Enterprise Development

SN - 1468-4330

IS - 3

ER -