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Willingness to accept metaverse safety training for construction workers based on extended UTAUT.
Guo, Zhenxu; Wang, Qinge; Peng, Chunyan; Zhuang, Sunning; Yang, Biao.
Afiliación
  • Guo Z; School of Civil Engineering, Central South University, Changsha, China.
  • Wang Q; School of Civil Engineering, Central South University, Changsha, China.
  • Peng C; School of Civil Engineering, Central South University, Changsha, China.
  • Zhuang S; Guangzhou Expressway Co., LTD., Guangdong, China.
  • Yang B; Guangzhou Expressway Co., LTD., Guangdong, China.
Front Public Health ; 11: 1294203, 2023.
Article en En | MEDLINE | ID: mdl-38269381
ABSTRACT
Safety training (ST) is essential in avoiding unsafe behavior of construction workers. With the rise of metaverse technology, metaverse safety training (MST) has gradually become a new model to guide construction workers in safety production. An in-depth study of construction workers' willingness to accept the metaverse safety training (WAMST) helps improve its effectiveness, but studies need to pay more attention to it. This study constructs a conceptual model of WAMST for construction workers, and the influencing factors of WAMST are explained based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT). It established a Structural equation modeling to verify the relationship between influencing factors. An example verifies the feasibility of the model. The results show that the framework significantly contributes to the willingness of construction workers to participate and improves safety awareness. Specifically, performance expectancy, effort expectancy, social influence, and convenient conditions significantly affect the construction workers' willingness to accept. Convenient conditions have a direct effect on actual behavior. Willingness to accept plays a mediating role between performance expectancy and actual behavior. Perceived trust moderates the effect between willingness to accept and actual behavior, and the force of positive interpretation increases proportionally. It confirms how to improve the safety capacity of construction workers and provides references for governments, enterprises, and projects to formulate ST strategies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Industria de la Construcción Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Industria de la Construcción Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza