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Big Data and Technology Evolution in the IoT Industry

Author

Listed:
  • Elona Marku
  • Maryia Zaitsava
  • Manuel Castriotta
  • Maria Chiara Di Guardo
  • Michela Loi

Abstract

The present study aims to better understand how and to what extent the different dimensions of Big Data can offer insights on technology evolution. By using a patent analytics perspective, in this paper, we introduce a novel approach based on co-words analysis using the abstracts of 170,279 European patents in the Internet of Things (IoT) field published from 2011 to 2019. In so doing, we map and visualize an industry’s technology structure, development, and trends, as well as disentangle the IoT technology conceptual structure, highlighting its core and boundary concepts. This is the first study that applies a decomposition framework to clarify the determinants of IoT inventions, showing relevant changes in the focus of IoT technology overtime. By shedding light on the evolutionary dynamics of the field, this research offers a valuable contribution to the technology innovation literature.

Suggested Citation

  • Elona Marku & Maryia Zaitsava & Manuel Castriotta & Maria Chiara Di Guardo & Michela Loi, 2021. "Big Data and Technology Evolution in the IoT Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(10), pages 1-94, July.
    • Handle: RePEc:ibn:ijbmjn:v:15:y:2021:i:10:p:94
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    References listed on IDEAS

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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