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1.

Exploring the adoption intention of long-term care regulatory systems in Guangxi, China: The role of innovation attributes and perceived risk Pages 575-586 Right click to download the paper Download PDF

Authors: Zhihua Li, Chunliu Lu, Ni Li, Boonsub Panichakarn, Xijia He, Rongjin Gu

DOI: 10.5267/j.dsl.2025.5.002

Keywords: Relative Advantage, Compatibility, Complexity, Trialability, Observability, Perceived Risk, Adoption Intention

Abstract:
This study examines the adoption intention of the Long-Term Care (LTC) regulatory system in Guangxi, China, emphasizing the influence of innovation attributes and perceived risk. It analyzes how relative advantage, compatibility, complexity, trialability, and observability positively affect healthcare providers' and elderly care institutions' willingness to adopt the system. The study further explores the moderating role of perceived risk in strengthening the relationship between these innovation attributes and adoption intention. Data were collected through a survey of 370 professionals from hospitals, rural health centers, and elderly care institutions and analyzed using SPSS and structural equation modeling (SEM). Results indicate that all five innovation attributes significantly enhance adoption intention, with perceived risk amplifying these effects. The findings underscore the need for supportive policies, technological advancement, and coordinated stakeholder engagement to ensure successful LTC system implementation. This research provides actionable insights for policymakers and industry leaders to support the expansion of LTC insurance systems amid China’s aging population.
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Journal: DSL | Year: 2025 | Volume: 14 | Issue: 3 | Views: 423 | Reviews: 0

 

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