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Classifying Smart City Startups: The Smart City Index

Author

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  • M. Hermse
  • I. Nijland
  • M. Picari
  • Mark Sanders

Abstract

In this paper we present an index for coding new ventures, projects and firms as “smart-city†or not. The index is based on a systematic assessment of some 70+ definitions of the concept from the literature. Based on this analysis, we propose a 7-item coding scheme based on venture descriptions that are commonly available from public data sources. We identified two necessary and 5 “intensity†items and propose an algorithm that translates these items into a single smartc-city index (SCI) that expresses the degree to which an activity is contributing to smart city development in a score between 1 and 5. We then show the results of coding 759 new ventures in different datasets to illustrate that our index gives sensible results. Some 90 (11%) of these ventures could be classified as “smart city†in our sample, scoring an average of about 3.3, with significant variation around these averages that make intuitive sense. Our index can be used in a broad range of applications.

Suggested Citation

  • M. Hermse & I. Nijland & M. Picari & Mark Sanders, 2021. "Classifying Smart City Startups: The Smart City Index," Working Papers 2107, Utrecht School of Economics.
    • Handle: RePEc:use:tkiwps:2107
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    File URL: https://dspace.library.uu.nl/bitstream/handle/1874/419995/REBO_USE_WP_21_07.pdf
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    Keywords

    Urban Development; Smart City; Entrepreneurship; Innovation; DataCollection;
    All these keywords.

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