Consumer-consumption-need theoretical model for smart clothing

Construction and empirical study for Chinese silver-haired population

Bibliographic Data

ID22190128
AuthorsZhe Li (0000-0002-2003-0827, Beijing Institute of Fashion Technology), Xinping Song (0000-0001-8570-6261), Meitong Guo (0009-0008-7965-8759, Beijing Institute of Fashion Technology), Laitan Fang (0000-0003-1633-1480, Nueva Ecija University of Science and Technology)
Year2024
Volume8
Issue8
Pages6230
Publication date2024-08-12
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v8i8.6230
OpenAlexW4401501219
LanguageEN
References cited14

In the era of artificial intelligence, smart clothing, as a product of the interaction between fashion clothing and intelligent technology, has increasingly attracted the attention and affection of enterprises and consumers. However, to date, there is a lack of focus on the demand of silver-haired population’s consumers for smart clothing. To adapt to the rapidly aging modern society, this paper explores the influencing factors of silver-haired population’s demand for smart clothing and proposes a corresponding consumer-consumption-need theoretical model (CCNTM) to further promote the development of the smart clothing industry. Based on literature and theoretical research, using the technology acceptance model (TAM) and functional-expressive-aesthetic consumer needs model (FEAM) as the foundation, and introducing interactivity and risk perception as new external variables, a consumer-consumption-need theoretical model containing nine variables including perceived usefulness, perceived ease of use, functionality, expressiveness, aesthetics, interactivity, risk perception, purchase attitude, and purchase intention was constructed. A questionnaire survey was conducted among the Chinese silver-haired population aged 55–65 using the Questionnaire Star platform, with a total of 560 questionnaires issued. The results show that the functionality, expressiveness, interactivity, and perceived ease of use of smart clothing significantly positively affect perceived usefulness (P

Aesthetics · Archaeology · Art · Business · Clothing · Commerce · Empirical research · Geography · Population · Sociology · Statistics · Consumer Retail Behavior Studies · Demography · Mathematics

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