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Open Data for Open Innovation: An Analysis of Literature Characteristics

Author

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  • Diego Corrales-Garay

    (Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros, s/n, 28032 Madrid, Spain
    These authors contributed equally to this work.)

  • Eva-María Mora-Valentín

    (Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros, s/n, 28032 Madrid, Spain
    These authors contributed equally to this work.)

  • Marta Ortiz-de-Urbina-Criado

    (Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros, s/n, 28032 Madrid, Spain
    These authors contributed equally to this work.)

Abstract

In this paper, we review some characteristics of the literature that studies the uses and applications of open data for open innovation. Three research questions are proposed about both topics: (1) What journals, conferences and authors have published papers about the use of open data for open innovation? (2) What knowledge areas have been analysed in research on open data for open innovation? and (3) What are the methodological characteristics of the papers on open data for open innovation? To answer the first question, we use a descriptive analysis to identify the relevant journals and authors. To address the second question, we identify the knowledge areas of the studies about open data for open innovation. Finally, we analyse the methodological characteristics of the literature (type of study, analytical techniques, sources of information and geographical area). Our results show that the applications of open data for open innovation are interesting but their multidisciplinary nature makes the context complex and diverse, opening up many future avenues for research. To develop a future research agenda, we propose a theoretical model and some research questions to analyse the open data impact process for open innovation.

Suggested Citation

  • Diego Corrales-Garay & Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado, 2019. "Open Data for Open Innovation: An Analysis of Literature Characteristics," Future Internet, MDPI, vol. 11(3), pages 1-25, March.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:3:p:77-:d:216805
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    References listed on IDEAS

    as
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    2. Lopes, Ana Paula Vilas Boas Viveiros & de Carvalho, Marly Monteiro, 2018. "Evolution of the open innovation paradigm: Towards a contingent conceptual model," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 284-298.
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    4. Hannele Väyrynen & Nina Helander & Tytti Vasell, 2017. "KNOWLEDGE MANAGEMENT FOR OPEN INNOVATION: COMPARING RESEARCH RESULTS BETWEEN SMEs AND LARGE COMPANIES," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-22, June.
    5. E Richard Gold, 2016. "Accelerating Translational Research through Open Science: The Neuro Experiment," PLOS Biology, Public Library of Science, vol. 14(12), pages 1-6, December.
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