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

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.

Research on potential disruptive technology identification based on technology network

“…Based on the index evaluation analysis method, Sainio and Puumalainen (2007) [11], Keller and Hu ¨sig (2009) [12], Ganguly (2010) [13], Hang (2011) [14], Hardman et al (2013) [15], Jia Weifeng et al (2022) [16], and Chen Xiaoli et al (2019) [17] put forward the corresponding subversive technical index standard theory. In terms of model analysis, Lim and Anderson (2016) [18], Adner (2002) [19], Su Qilin (2006) [20], Linton (2002) [21], A. Momenni (2016) [22], and Jia Weifeng et al (2021) [23] established corresponding models to explore the identification of disruptive technologies.…”

Examining the Role of Digital Technology as an Enabler of Digital Disruption: A Systematic Review

“…In this area, AI-powered automation can streamline processes, reduce costs, and increase operational e ciency, thereby disrupting traditional industries that rely heavily on human labor. For instance, arti cial intelligence disrupts traditional logistics practices by facilitating automation, optimization, and intelligent decision-making in logistics operations, resulting in increased e ciency, accuracy, and cost savings (Jia et al, 2022).. The second is to focus more on predictive analytics, in which AI algorithms can analyses large datasets to make accurate predictions, thereby transforming the decision-making processes in nance, marketing, and supply chain management (Hussain et al, 2023).…”

Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise

“…With the advent of AI, the next iteration of the IoT emerged: artificial-intelligenceboosted IoT (AIoT) [50]. The AIoT underpins a range of familiar IoT applications such as autonomous driving vehicles [51], industrial robots [52] and surveillance drones [53]. The AIoT has provided impetus for several AI-based initiatives, for example, the development of anticipatory manufacturing machine maintenance, automated optimization of commercial operational efficiency and machine-learning-based urban safety monitoring and traffic control.…”