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Disruptive technology identification of intelligent logistics robots in AIoT industry: Based on attributes and functions analysis

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  • Weifeng Jia
  • Shuo Wang
  • Yongping Xie
  • Zifeng Chen
  • Kaixin Gong

Abstract

This research constructs a disruptive technology identification framework based on attributes and functions and selects intelligent logistics robot technology for empirical analysis in the artificial intelligence & Internet of Things (AIoT) industry. We take the three attributes of technological novelty, breakthrough, and influence as measurement indicators to identify disruptive technologies and perform functional analysis of the technology to find potential markets for disruptive technologies. The research demonstrates that two‐dimensional code technology, sensing technology, intelligent control technology, artificial intelligence technology, and wireless communication technology are disruptive technologies in intelligent logistics robots. The future development directions of intelligent logistics robots include efficient, intelligent control operations, good human‐computer interaction, accurate safety obstacle avoidance, and accurate and efficient position detection. This research has put forward the future development direction of disruptive technology in AIoT and provided a reference for the R&D and manufacture of intelligent logistics robots.

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  • Weifeng Jia & Shuo Wang & Yongping Xie & Zifeng Chen & Kaixin Gong, 2022. "Disruptive technology identification of intelligent logistics robots in AIoT industry: Based on attributes and functions analysis," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 557-568, May.
    • Handle: RePEc:bla:srbeha:v:39:y:2022:i:3:p:557-568
    DOI: 10.1002/sres.2859
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    Cited by:

    1. Minhao Xiang & Dian Fu & Kun Lv, 2023. "Identifying and Predicting Trends of Disruptive Technologies: An Empirical Study Based on Text Mining and Time Series Forecasting," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    2. Li Da Xu, 2022. "Systems research on artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 359-360, May.

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