Linking AI supply chain strength to sustainable development and innovation: A country‐level analysis

Abstract

AbstractTo help enterprises improve their sustainable development as well as the competition ability in their supply chain, a research is conducted on the efficiency of the supply chain embedded with artificial intelligence (AI) and issues in sustainable development. At first, the present work determines the connection between efficiency of the supply chain with the environmental performance. Then, it illustrates how the efficiency of the AI supply chain influences the environment of enterprises. Next, an evaluation is made on the influence of AI supply chain efficiency on the social sustainable development. In the empirical analysis, the data of Global Competitiveness Report and Environmental Performance Index Report from 2008 to 2017 are collected. Descriptive statistics and correlation analysis are used to determine the relationship between AI supply chain efficiency and sustainable development and innovation. The Pearson Product Moment Correlation Coefficient (PPMCC) has been computed to ascertain if there are significant bivariate relationships between the variables of interest. There are two components of reducing waste and consumption pressures that are significantly and positively correlated with AI supply chain efficiency. These are ecological footprint per capita (r = .662, p = .000) and waste recycling rates (r = .631, p = .000). The present work identifies the connection between AI supply chain efficiency and sustainable development and innovation. Moreover, the AI supply chain promotes technological innovation among enterprises and the sustainable development of enterprises themselves.