An Empirical Study on the Relationship between Artificial Intelligence, Wages and Enterprise Innovation Capability

Ri-xing, Liu; Xiao-mei, Pan

doi:10.47297/wspciwsp2516-252706.20200403

Cited by 1 publication

(1 citation statement)

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“…Kaiser–Meyer–Olkin (KMO) and Bartlett's test of sphericity were used to test whether the data are suitable for PCA. Table 4 shows the commonly used KMO metrics as reported in the literature (Zeng et al , 2020; Liu, 2020), whereas Table 5 presents the KMO analysis results for the standardized data. These data were eventually deemed suitable for PCA.…”

Section: Empirical Research and Analysismentioning

confidence: 99%

Evaluation of infrastructure resilience

Cong

Proverbs

2021

IJBPA

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PurposeThe purpose of this study is to undertake an evaluation of the resilient capacity of the infrastructure systems in the city of Wuhan. This evaluation focuses on the ability of the infrastructure to cope with extreme weather from multiple dimensions and to propose effective interventions against such risks.Design/methodology/approachThis research draws on a review and synthesis of the theory of resilience and adopts the literature induction method to build an evaluation index for five urban systems, namely: roads; water supply and drainage; energy and power; urban disaster reduction; and communications. Index data from the period of 1990–2019 are combined with the views of experts from Wuhan and analyzed using principal component analysis (PCA) to calculate the weightings of the five urban systems. A fuzzy comprehensive evaluation method is then used to investigate the resilient capacity of these five urban infrastructure systems in the city.FindingsGenerally, the results show that the resilience of the infrastructure systems in Wuhan are at a high level. Based on the results, the communications and roads systems are found to have higher levels of resilience, while the disaster mitigation system is found to have a relatively low level of resilience. Recommendations are suggested to help improve resilience and prioritize investments in the development of the city's infrastructure systems.Research limitations/implicationsThe development of these specific indicators and quantitative requirements have not been studied in detail, so a more comprehensive, systematic evaluation of quantitative indicators and methods of urban infrastructure resilience is still required. In addition, the research on the resilience of urban infrastructure under extreme weather is still in its infancy, and it is essential to further increase the quantitative assessment of the resilience of urban infrastructure under construction. This will also be indispensable information in the subsequent implementation of a resilient planning process.Originality/valueThis research builds a rigorous and reliable evaluation model that avoids any subjective bias in the results and represents a new approach to evaluate the resilience of the infrastructure systems in the city of Wuhan, which could be applied to other cities.

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Section: Empirical Research and Analysismentioning

confidence: 99%