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Exploring Smart City Project Implementation Risks in the Cities of Kakinada and Kanpur

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  • Khushboo Gupta
  • Ralph P. Hall

Abstract

With an increasing number of smart city initiatives in developed as well as developing nations, smart cities are seen as a catalyst for improving the quality of life for city residents. However, the current understanding of the risks that may hamper the successful implementation of smart city projects remains limited. This research examines the risk landscape for implementing smart city projects in two Indian cities, Kakinada and Kanpur, by interviewing 20 professionals from industry and local government who were closely associated with implementing smart city projects. Seven risks are identified—namely resource management and partnership, institutional, scheduling and execution, social, financial, political, and technology—using thematic analysis. Further, the interrelationships between the risks are modelled using causal mapping techniques. The results suggest different risk priorities among the two types of professionals interviewed. Further, a number of risks were found to be closely connected. These findings suggest that risk mitigation strategies need to take a comprehensive view towards all risks and their interconnections instead of managing each risk in isolation.

Suggested Citation

  • Khushboo Gupta & Ralph P. Hall, 2021. "Exploring Smart City Project Implementation Risks in the Cities of Kakinada and Kanpur," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(1-2), pages 155-173, April.
    • Handle: RePEc:taf:cjutxx:v:28:y:2021:i:1-2:p:155-173
    DOI: 10.1080/10630732.2020.1796115
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    File URL: http://hdl.handle.net/10.1080/10630732.2020.1796115
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    Cited by:

    1. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.

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