articleInformation Systems JournalMar 2, 2006Closed access

Predicting consumer intention to use mobile service

National Changhua University of Education · National Taichung University of Science and Technology · +1 more institution

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Abstract

Abstract. Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile service (m‐service) conducted with these devices. However, although many companies are today making considerable investments to take advantage of the new business possibilities offered by wireless technology, research on mobile commerce suggests potential consumers may not adopt these m‐services in spite of their availability. Thus, there is a need for research to identify the factors that affect consumer intention to use m‐services. Based on the technology acceptance model (TAM), theory of planned behaviour (TPB) and Luarn & Lin's 2005 mobile banking acceptance…

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637
total citations
FWCI
42.04
Percentile
100%
References
62
Citations per year

Authors

3

Topics & keywords

Keywords
  • Technology acceptance model
  • Structural equation modeling
  • Mobile commerce
  • Service (business)
  • Theory of planned behavior
  • Construct (python library)
  • Knowledge management
  • Business
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