TY - JOUR
T1 - Driving innovation through big open linked data (BOLD)
T2 - Exploring antecedents using interpretive structural modelling
AU - Dwivedi, Yogesh K.
AU - Janssen, Marijn
AU - Slade, Emma L.
AU - Rana, Nripendra P.
AU - Weerakkody, Vishanth
AU - Millard, Jeremy
AU - Hidders, Jan
AU - Snijders, Dhoya
PY - 2016
Y1 - 2016
N2 - Innovation 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.
AB - Innovation 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.
KW - Big data
KW - Innovation
KW - Interpretive structural modelling
KW - Linked data
KW - Open data
UR - http://www.scopus.com/inward/record.url?scp=84978160759&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:39bf2e4d-601d-42bb-9dd5-64a137918df0
U2 - 10.1007/s10796-016-9675-5
DO - 10.1007/s10796-016-9675-5
M3 - Article
AN - SCOPUS:84978160759
SN - 1387-3326
SP - 1
EP - 16
JO - Information Systems Frontiers: a journal of research and innovation
JF - Information Systems Frontiers: a journal of research and innovation
ER -