IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v19y2017i2d10.1007_s10796-016-9675-5.html
   My bibliography  Save this article

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, 2017. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 19(2), pages 197-212, April.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:2:d:10.1007_s10796-016-9675-5
    DOI: 10.1007/s10796-016-9675-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-016-9675-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-016-9675-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Qizhi Tao & Yizhe Dong & Ziming Lin, 2017. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 19(3), pages 425-441, June.
    3. Qizhi Tao & Yizhe Dong & Ziming Lin, 0. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    4. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 0. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    5. Bram Klievink & Bart-Jan Romijn & Scott Cunningham & Hans Bruijn, 2017. "Big data in the public sector: Uncertainties and readiness," Information Systems Frontiers, Springer, vol. 19(2), pages 267-283, April.
    6. Tor Helge Aas & Karl Joachim Breunig & Katja Maria Hydle, 2017. "Exploring New Service Portfolio Management," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-31, August.
    7. Małgorzata Wiścicka-Fernando & Sandra Misiak-Kwit & Kelaniyage Shihan Dilruk Fernando, 2019. "Co-Creation as an Innovative Way to Develop an Enterprise—Cross-Country Analysis," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    8. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    9. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    10. Steven M. Shugan, 2007. "Editorial—The Anna Karenina Bias: Which Variables to Observe?," Marketing Science, INFORMS, vol. 26(2), pages 145-148, 03-04.
    11. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    12. Pasquale Del Vecchio & Gioconda Mele & Valentina Ndou & Giustina Secundo, 2018. "Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    13. Vincent K.K. Leung & Marco Chi Keung Lau & Zhe Zhang & Flora F. Gu, 2015. "Explorative versus exploitative alliances: evidence from the glass industry in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 13(2), pages 127-146, May.
    14. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    15. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    16. Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
    17. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    18. Xinfang (Jocelyn) Wang & Jeffrey D. Camm & David J. Curry, 2009. "A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem," Management Science, INFORMS, vol. 55(10), pages 1718-1728, October.
    19. Rašković, Matevž & Ding, Zhonghui & Škare, Vatroslav & Ozretić Došen, Đurđana & Žabkar, Vesna, 2016. "Comparing consumer innovativeness and ethnocentrism of young-adult consumers," Journal of Business Research, Elsevier, vol. 69(9), pages 3682-3686.
    20. Xueming Luo & Shuili Du, 2015. "Exploring the relationship between corporate social responsibility and firm innovation," Marketing Letters, Springer, vol. 26(4), pages 703-714, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:19:y:2017:i:2:d:10.1007_s10796-016-9675-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.