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Consumer Acceptance of Sports Wearables

The Role of Products Attributes

Bibliographic Data

ID3511718
AuthorsWang Zhigang (0000-0002-5860-8401), Zhigang Wang (0000-0002-6818-2205, Wuhan Sports University, corresponding author), Dan Fang (0000-0001-8864-7033), Xintao Liu (0000-0002-7323-9878, Wuhan University), Lei Zhang (0000-0003-4889-6486, Wuhan Sports University), H Duan (0000-0001-8016-0714, Wuhan Sports University), Chao Wang (0000-0002-4737-0717, Wuhan Sports University), K Guo (0000-0002-5226-2067, Wuhan Sports University)
Year2023
Volume13
Issue3
Publication date2023-07-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440231182653
OpenAlexW4383621670
LanguageEN
Citations received4
References cited62

Based on the technology acceptance model (TAM), this paper discusses how the functional attributes and design characteristics of sports wearable devices affect users' attitude and behavior. In order to estimate the relationship between variables, structural equation model (SEM) was used to analyze the data from questionnaire. By analyzing the relationship among data analysis, real-time monitoring, appearance design, simple operation, perceived usefulness, perceived ease of use, use attitude, and use behavior, it is found that data analysis and real-time monitoring has a significant impact on the perceived usefulness of sports wearable devices. The simple operation and appearance design have a significant impact on the perceived ease of use of sports wearable devices. The perceived usefulness and perceived ease of use of sports wearable devices further affect users' attitude and behavior. The result means all study hypotheses were accepted. Therefore, providing perfect data analysis function, developing accurate real-time monitoring function, introducing friendly appearance design, and simplifying product operation mode can improve the use value and operation convenience of sports wearable devices and enhance the acceptance of users

Embedded system · Human–computer interaction · Structural equation modeling · Technology Acceptance Model · Usability · Wearable computer · Wearable technology · Computer Science · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Psychology · Technology Adoption and User Behaviour

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Citations per year1.33
Citation span2023 - 2026 (4)
Highly citedNo

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