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With the permeation of artificial intelligence (AI) through the tourism and hospitality industry, a comprehensive understanding of its features and service outcomes is important for both academia and practice. In this study, a meta-analytic framework with 23 constructs from 91 research papers was developed. This analysis indicated that AI features can be categorized as sensory, social or functional; and the relationships among these features were revealed. Additionally, these features lead to positive service outcomes via a process involving customers' cognition, affect and relationships with service providers. The research method, AI type and participants' gender moderate the influence of AI features on service outcomes, but stimulants and prior experience do not. These findings enhance the understanding of AI applications and consequences and have managerial implications. [ABSTRACT FROM AUTHOR]

Soybean ( Glycine max ) is a vital crop that is rich in high-quality protein and edible oil for human nutrition and agriculture. Saline-alkali stress, a severe environmental challenge, significantly limits soybean productivity. In this study, we found that the nodule receptor kinase GmNARK enhances soybean tolerance to alkali stress besides nodulation. GmNARK could be induced by alkali stress in soybean roots. Ectopic overexpression of the GmNARK gene in Arabidopsis could significantly improve plant tolerance to alkaline stress. Moreover, overexpression or silencing of the GmNARK gene in soybean hairy roots also enhanced composite soybean plant tolerance to alkaline stress on plates and in soils. Additionally, overexpression of the GmNARK gene upregulated expression levels of the genes that are involved in the reactive oxygen species (ROS) signaling pathways. These findings provide a critical theoretical basis for further elucidating the role of GmNARK kinase in salt-alkali resistance and lay a foundation for improving soybean productivity under salt-alkali stress.