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Smart City Applications on the Blockchain: Development of a Multi-layer Taxonomy

In: Blockchain and Distributed Ledger Technology Use Cases

Author

Listed:
  • Esther Nagel

    (Ludwig Maximilian University of Munich)

  • Johann Kranz

    (Ludwig Maximilian University of Munich)

Abstract

Blockchain Technology (BT) has become widely recognized beyond the financial sector. Various other fields of application for the ground-breaking innovation are discussed by researchers and practitioners alike. One such field is the smart city. Driven by startups, projects aimed at alleviating negative effects of urbanization build on the properties of BT to improve quality of life, administrative processes, and environmental sustainability. Yet, due to the entrepreneurial dynamics and abundant fields of application for BT in smart cities, an integrated and boundary-spanning analysis is lacking. This study aims at developing a multi-layer taxonomy that illustrates how BT is used in different smart city business models. For this purpose, we identified a sample of 80 startups which offer applications for smart cities and examined their business models. The paper explores business model configurations and technological characteristics of blockchain-based smart city applications. We identify BT startup archetypes in several domains: sharing economy, privacy and security, and internet of things (IoT). The paper will be useful for researchers, practitioners, and regulators interested in gaining novel insights about how startups leverage BT to create and capture value.

Suggested Citation

  • Esther Nagel & Johann Kranz, 2020. "Smart City Applications on the Blockchain: Development of a Multi-layer Taxonomy," Progress in IS, in: Horst Treiblmaier & Trevor Clohessy (ed.), Blockchain and Distributed Ledger Technology Use Cases, pages 201-226, Springer.
  • Handle: RePEc:spr:prochp:978-3-030-44337-5_10
    DOI: 10.1007/978-3-030-44337-5_10
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    Cited by:

    1. Bokolo Anthony, 2023. "Deployment of distributed ledger and decentralized technology for transition to smart industries," Environment Systems and Decisions, Springer, vol. 43(2), pages 298-319, June.

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