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

Author

Listed:
  • Yogesh K. Dwivedi

    (Swansea University)

  • Marijn Janssen

    (Delft University of Technology)

  • Emma L. Slade

    (Swansea University)

  • Nripendra P. Rana

    (Swansea University)

  • Vishanth Weerakkody

    (Brunel University)

  • Jeremy Millard

    (Brunel University
    Danish Technological Institute)

  • Jan Hidders

    (Vrije Universiteit Brussel)

  • Dhoya Snijders

    (Researcher Data & Society, The Dutch Study Center for Technology Trends (STT))

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 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.

Suggested Citation

  • Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 0. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-016-9675-5
    DOI: 10.1007/s10796-016-9675-5
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    References listed on IDEAS

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    1. Chittaranjan Hota & Shambhu Upadhyaya & Jamal Nazzal Al-Karaki, 2015. "Advances in secure knowledge management in the big data era," Information Systems Frontiers, Springer, vol. 17(5), pages 983-986, October.
    2. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    3. Rajesh K. Singh & Suresh K. Garg & S.G. Deshmukh, 2007. "Interpretive structural modelling of factors for improving competitiveness of SMEs," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 2(4), pages 423-440.
    4. Atreyi Kankanhalli & Jungpil Hahn & Sharon Tan & Gordon Gao, 2016. "Big data and analytics in healthcare: Introduction to the special section," Information Systems Frontiers, Springer, vol. 18(2), pages 233-235, April.
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    Cited by:

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