RETRACTED ARTICLE: AISAS model-based statistical analysis for intelligent eldercare products consumption research

Yu Gao ()
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Yu Gao: City University of Hefei

Journal of Combinatorial Optimization, 2023, vol. 45, issue 5, No 21, 16 pages

Abstract: Abstract The demographic phenomenon of population aging in China has attained the apex of global prevalence. The insufficiency of social pension resources in China has resulted in an increase in tensions in public finance, thereby necessitating a sustained and proactive approach towards addressing this issue as a strategic imperative. The study of the determinants of consumer behavior in the realm of intelligent eldercare products holds pragmatic implications for directing and stimulating the advancement of the intelligent eldercare sector. This paper presents a demand model for intelligent eldercare products, drawing upon the AISAS and Unified Theory of Acceptance and Use of Technology (UTAUT) models. The integrated framework identifies four distinct categories of influencing factors: Attention and Interest, Search and Action, Public Support, and Sharing Motivation. The survey has been constructed using six secondary variables, namely Performance Expectation (PE), Social Impact (SI), Perceived Ease of Use (PEU), Perceived Value (PV), Attitude, and Willingness to Use (WU). The study employs various statistical techniques, including regression analysis, correlation analysis, and empirical analysis, to investigate the determinants of consumers’ intentions towards products. The conclusion suggests that the Perceived Ease of Use factor holds the most significant influence on the intention of consumers to use intelligent eldercare products or services.

Keywords: Intelligent eldercare products; AISAS; Willingness to use; Influencing factors (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10878-023-01059-w

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