Beeston, Gareth, Tiropanis, Thanassis and Harris, Lisa et al.
Establishing expert consensuses on the value of open data in open social innovation ideation
The World Open Innovation Conference, .
There is little conclusive evidence as to whether OD provides value to social innovation ideation scenarios. Furthermore, OD as a resource is severely contested as to its openness, availability, quality, importance, and usefulness within innovation ideation. Therefore, understanding how Open Data (OD) can be leveraged for innovation ideation practices has become a topic at the mainstream of management literature. However much of the effort thus far has been focused on ideation and innovation for-profit, specifically when in papers examining Open Innovation (OI), even though OD has been depicted as a resource for providing social, economical and entrepreneurial benefit. Therefore this paper presents an initial study of the perceived value of OD, in research phase Open Social Innovation (OSI), amongst academic and professional experts in OI, Innovation Networking and OD. Consequently, a Modified Delphi Study (MDS) is conducted, aimed at forming a convergence of opinion amongst academic and professional experts. From converging expert opinions from both academic and professional perspectives, optimal managerial practices within this field can be shaped. Furthermore, management processes and practices can be justified in collecting and targeting particular datasets that are opportune for a social innovation context. In addition to the primary objectives, and with respect to the paper’s findings, barriers of utilizing and leveraging OD for this purpose are duly noted with proposed methods of overcoming such challenges
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