Show simple item record

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.descriptionYes
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.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
dc.subjectOpen data
dc.subjectLinked data
dc.subjectInnovation
dc.subjectInterpretive structural modelling
dc.titleDriving Innovation through Big Open Linked Data (BOLD): Exploring Antecedents using Interpretive Structural Modellingen_US
dc.status.refereedYes
dc.date.application13/07/2016
dc.typeArticle
dc.type.versionAccepted manuscript
dc.identifier.doihttps://doi.org/10.1007/s10796-016-9675-5
dc.openaccess.statusopenAccess


Item file(s)

Thumbnail
Name:
Final-Dwivedi et al. - ISFI-D- ...
Size:
771.3Kb
Format:
PDF
Description:
Keep suppressed - no cover sheet
Thumbnail
Name:
Final-Dwivedi et al. - ISFI-D- ...
Size:
777.4Kb
Format:
PDF
Description:
Keep suppressed - changes to ...
Thumbnail
Name:
Final-Dwivedi et al. - ISFI-D- ...
Size:
766.9Kb
Format:
PDF
Description:
Main article

This item appears in the following Collection(s)

Show simple item record