Predicting consumer intention to use mobile commerce in Taiwan

Hsin Hui Lin, Yi Shun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Citations (Scopus)

Abstract

Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile commerce conducted with these devices. However, while many companies are vying for market share of the new business opportunities offered by wireless technology, research on m-commerce suggests potential consumers may not adopt these mobile systems, in spite of their availability. Based on an assessment of the existing literature regarding the theory of planned behavior and technology acceptance model, the current research presents an integrated model for predicting consumer intention to use m-commerce systems. It does this by adding (1) a trust-related construct ("perceived credibility") and (2) resource-related constructs ("perceived self-efficacy" and "perceived financial resources") to the TAM, with careful attention to placing these constructs in TAM's existing nomological structure. Data from 258 users in Taiwan tests against the integrated model using the structural equation modeling approach. The results support the integrated model in predicting consumer intention to use m-commerce.

Original languageEnglish
Title of host publication4th Annual International Conference on Mobile Business, ICMB 2005
EditorsWayne Brookes, Elaine Lawrence, Robert Steele, Elizabeth Chang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages406-412
Number of pages7
ISBN (Electronic)0769523676, 9780769523675
DOIs
Publication statusPublished - 2005 Jan 1
Event4th Annual International Conference on Mobile Business, ICMB 2005 - Sydney, Australia
Duration: 2005 Jul 112005 Jul 13

Publication series

Name4th Annual International Conference on Mobile Business, ICMB 2005

Other

Other4th Annual International Conference on Mobile Business, ICMB 2005
CountryAustralia
CitySydney
Period05-07-1105-07-13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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