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Design of an Evaluation System for Disruptive Technologies to Benefit Smart Cities

Author

Listed:
  • Jun Qiu

    (School of Public and Management, Tsinghua University, Beijing 100084, China
    These authors contributed equally to this work.)

  • Jing Cao

    (China Gezhouba Group No. 2 Engineering Co., Ltd., Chengdu 610091, China
    These authors contributed equally to this work.)

  • Xinyi Gu

    (Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China)

  • Zimo Ge

    (International School, Huaqiao University, Quanzhou 362021, China)

  • Zhe Wang

    (School of Public and Management, Tsinghua University, Beijing 100084, China)

  • Zheng Liang

    (School of Public and Management, Tsinghua University, Beijing 100084, China)

Abstract

Technological empowerment has facilitated the development of cities, which have progressed from pre-industrial to industrial to information-based and are currently transitioning towards the advanced stage of smart cities. The evolution and transformation of cities are fuelled by technology, which serves as a key driver. Disruptive technologies are radically scientific innovations that dramatically change the way consumers, businesses, and industries operate by destroying the value of existing technical competencies, thereby providing organisations with the capability or technical foundation to alter their business environments. To ensure that a city has a clear understanding of its smart city development direction, it is crucial to establish a scientifically valid and reliable evaluation index and method to analyse and recognise the disruptive technologies closely related to industrial development, transformation, and competitiveness in smart cities. However, there is a paucity of study on this topic. This paper addresses this research gap by developing a framework for disruptive technology identification and evaluation for smart cities using an entropy weight method and analytic hierarchy process. The evaluation index system contains 5 primary indicators and 11 secondary indicators according to the connotation of disruptive technologies in smart cities. The feasibility and effectiveness of the proposed framework are verified in the field of information science. This study provides technical knowledge and theoretical support for the evaluation and construction of smart cities.

Suggested Citation

  • Jun Qiu & Jing Cao & Xinyi Gu & Zimo Ge & Zhe Wang & Zheng Liang, 2023. "Design of an Evaluation System for Disruptive Technologies to Benefit Smart Cities," Sustainability, MDPI, vol. 15(11), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9109-:d:1164224
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    References listed on IDEAS

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    1. Saber Talari & Miadreza Shafie-khah & Pierluigi Siano & Vincenzo Loia & Aurelio Tommasetti & João P. S. Catalão, 2017. "A Review of Smart Cities Based on the Internet of Things Concept," Energies, MDPI, vol. 10(4), pages 1-23, March.
    2. Fahim Ullah & Samad M. E. Sepasgozar & Changxin Wang, 2018. "A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms," Sustainability, MDPI, vol. 10(9), pages 1-44, September.
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    Cited by:

    1. Jingpeng Duan & Jianjun Liao & Jing Liu & Xiaoxuan Gao & Ailin Shang & Zhihuan Huang, 2023. "Evaluating the Spatial Quality of Urban Living Streets: A Case Study of Hengyang City in Central South China," Sustainability, MDPI, vol. 15(13), pages 1-16, July.

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