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dc.contributor.authorDwivedi, Y.K.*
dc.contributor.authorJanssen, M.*
dc.contributor.authorSlade, E.L.*
dc.contributor.authorRana, Nripendra P.*
dc.contributor.authorWeerakkody, Vishanth J.P.*
dc.contributor.authorMillard, J.*
dc.contributor.authorHidders, J.*
dc.contributor.authorSnijders, D.*
dc.date.accessioned2017-03-23T11:57:00Z
dc.date.available2017-03-23T11:57:00Z
dc.date.issued2016
dc.identifier.citationDwivedi YK, Janssen M, Slade M, Rana NP, Weerakkody V, Millard J, Hidders J and Snijders D (2016) Driving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modelling. Information Systems Frontiers. 19(2): 197–212.en_US
dc.identifier.urihttp://hdl.handle.net/10454/11680
dc.descriptionYesen_US
dc.description.abstractInnovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1007/s10796-016-9675-5en_US
dc.rights© 2016 The Authors. This article is published open access at Springerlink.com. Available at Springer via http://dx.doi.org/10.1007/s10796-016-9675-5en_US
dc.subjectBig data; Open data; Linked data; Innovation; Interpretive structural modellingen_US
dc.titleDriving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modellingen_US
dc.status.refereedYesen_US
dc.date.application2016-07-13
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US


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