Yanyan Zhang

Dec 9, 2024 | dialnet.unirioja.es | Ran An |Yanyan Zhang

Ayuda Buscar en la ayuda Buscar en la ayuda Language choice and identity construction: linguistic landscape of Jianghan Road in Wuhan Ran An [1] ; Yanyan Zhang [1] [1] Wuhan University, Wuhan, People’s Republic of China Localización: Journal of multilingual and multicultural development, ISSN 0143-4632, Vol. 45, Nº. 10, 2024, págs.

Oct 21, 2024 | onlinelibrary.wiley.com | Yanyan Zhang |Tao Xiong

Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description agr21989-sup-0001-Appendix.docx352.3 KB Supporting information. References , , and . 2023. “ESG Disclosures and Corporate Performance: A Non-Linear and Disaggregated Approach.” Journal of Cleaner Production 437, no. 15: 140517. https://doi.org/10.1016/j.jclepro.2023.140517. , and . 2020.

Aug 6, 2024 | nature.com | Yanyan Zhang

AbstractThe effect of circumference and displacement of the third fracture fragment on fracture healing after intramedullary nailing of femoral shaft fractures with a third fracture fragment was investigated. A retrospective cohort study was conducted to analyze the data of 142 patients who suffered femoral shaft fractures with a third fracture fragment and were admitted to the First People’s Hospital of Lianyungang from February 2016 to December 2021.

Jul 4, 2024 | nature.com | Yanyan Zhang |Tat-Huei Cham |Chuen Khee Pek |Choi-Meng Leong

With the growing awareness of environmental issues available across various media platforms, consumers, particularly the younger generation, are more conscious of their consumption and its impact on the environment. This trend can be observed in the surging demand for environmentally friendly and animal-test-free products on the market. However, despite the young consumer group’s critical role in the marketplace, existing research in this area remains limited, demanding further investigation. Recognising the significance of this trend, this study employs a two-stage partial least squares structural equation modelling-artificial neural network (PLS-SEM-ANN) approach to analyse the antecedents influencing green consumption among young Chinese consumers. This study proposes a conceptual research model that extends the norm activation model (NAM) by analysing 366 self-reported questionnaires. The first-stage PLS-SEM results reveal significant positive correlations between personal norms (PN), environmental knowledge (EK), information availability (IA), social norms (SN) and green consumption intention (GCI). However, face consciousness (FC) was found to have no significant effect on GCI. The second-stage ANN sensitivity analysis shows that PN emerged as the most influential factor on GCI, followed by IA, SN, and EK. This ranking diverges from the PLS-SEM results, suggesting potential hidden nonlinear relationships between IA, SN, EK and GCI. Among the significant predictors of PN, the ascription of responsibility (AR) ranks first, followed by an awareness of consequence (AC) and SN. With its unique two-stage PLS-SEM-ANN approach to green consumption among young consumers, this study offers valuable insights for both marketers and researchers. Marketers gain a new tool to predict GCI more effectively, while researchers can explore the intricate interplay of factors shaping sustainable consumption choices. Methodologically, the present study is one of the few that applies extended NAM using two-stage PLS-SEM-ANN in the context of green consumption.

Jun 6, 2024 | mdpi.com | Jie Liu |Chun Cao |Yanyan Zhang

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