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Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Yogesh Dwivedi Orcid Logo, Marijn Janssen, Emma Slade, Nripendra Rana Orcid Logo, Vishanth Weerakkody, Jeremy Millard, Jan Hidders, Dhoya Snijders

Information Systems Frontiers, Volume: 19, Issue: 2, Pages: 197 - 212

Swansea University Authors: Yogesh Dwivedi Orcid Logo, Emma Slade, Nripendra Rana Orcid Logo

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DOI (Published version): 10.1007/s10796-016-9675-5

Abstract

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...

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Published in: Information Systems Frontiers
ISSN: 1387-3326 1572-9419
Published: Springer Science and Business Media LLC 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa29215
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spelling 2022-10-26T12:58:08.4763724 v2 29215 2016-07-13 Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 5be162fc14fa596a59a9514f66100039 Emma Slade Emma Slade true false b00e18aa519cd578d4b242e376e70331 0000-0003-1105-8729 Nripendra Rana Nripendra Rana true false 2016-07-13 BBU 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. Journal Article Information Systems Frontiers 19 2 197 212 Springer Science and Business Media LLC 1387-3326 1572-9419 Big data; Open data; Linked data; Innovation; Interpretive structural modelling 1 4 2017 2017-04-01 10.1007/s10796-016-9675-5 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2022-10-26T12:58:08.4763724 2016-07-13T23:42:55.4791287 Faculty of Humanities and Social Sciences School of Management - Business Management Yogesh Dwivedi 0000-0002-5547-9990 1 Marijn Janssen 2 Emma Slade 3 Nripendra Rana 0000-0003-1105-8729 4 Vishanth Weerakkody 5 Jeremy Millard 6 Jan Hidders 7 Dhoya Snijders 8 0029215-20072016115918.pdf ISF-BOLD-Open-Accessv2.pdf 2016-07-20T11:59:18.8100000 Output 673735 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0/
title Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
spellingShingle Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
Yogesh Dwivedi
Emma Slade
Nripendra Rana
title_short Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
title_full Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
title_fullStr Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
title_full_unstemmed Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
title_sort Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
5be162fc14fa596a59a9514f66100039
b00e18aa519cd578d4b242e376e70331
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
5be162fc14fa596a59a9514f66100039_***_Emma Slade
b00e18aa519cd578d4b242e376e70331_***_Nripendra Rana
author Yogesh Dwivedi
Emma Slade
Nripendra Rana
author2 Yogesh Dwivedi
Marijn Janssen
Emma Slade
Nripendra Rana
Vishanth Weerakkody
Jeremy Millard
Jan Hidders
Dhoya Snijders
format Journal article
container_title Information Systems Frontiers
container_volume 19
container_issue 2
container_start_page 197
publishDate 2017
institution Swansea University
issn 1387-3326
1572-9419
doi_str_mv 10.1007/s10796-016-9675-5
publisher Springer Science and Business Media LLC
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
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description 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.
published_date 2017-04-01T03:35:36Z
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