Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers in Human B...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers in Human Behavior
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2016
Data sources: DBLP
versions View all 2 versions
addClaim

Exploring consumers’ intention to accept smartwatch

Authors: Liang-Hong Wu; Liang-Chuan Wu; Shou-Chi Chang;

Exploring consumers’ intention to accept smartwatch

Abstract

Abstract With the growing smartwatch market over the past few years, smartwatch acceptance in consumer markets has become an important topic for both researchers and designers. Identification of factors that influence consumers to accept a smartwatch can improve user-centered design. This study explores the intentions of using a smartwatch from the consumer perspective, combining innovation diffusion theory (IDT), the technology acceptance model (TAM), the unified theory of acceptance and use of technology (UTAUT), and perceived enjoyment. It presents an integrated method empirically tested with data from 212 participants in Taiwan. Partial lease squares (PLS) were used for models and hypotheses tests. We find several interesting results greatly different from previous studies: (1) Attitude, often identified as a weak mediator, is significant; (2) Ease of use was not significant, which implies that it should be the basic specification of smartwatches; (3) Gender has no significant effect on acceptance of smartwatches; and (4) Individuals 35–54 years old exhibit a significant demand for enjoyment in their use of smartwatch. This study contributes to the technology acceptance research field, and identifies the characteristics that influence smartwatch acceptance. Our methods and results should benefit both academics and managers with useful suggestions for research directions and product strategies.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    182
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
182
Top 1%
Top 10%
Top 1%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!