Research Output
Same but different? Mobile technology adoption in China
  Purpose
The purpose of this paper is to answer two research questions which are 鈥淲hat are key factors which influence Chinese to adopt mobile technology?鈥 and 鈥淒o these key factors differ from factors which are identified from western context?鈥.

Design/methodology/approach
The findings from a pilot study with 45 in-depth interviews are used to develop questionnaires and test across 800 residents from the three research cities. The data were analyzed by structural equation modeling together with multi-group analysis.

Findings
The data suggest eight important concepts, i.e. utilitarian expectation, hedonic expectation, status gains, status loss avoidance, normative influence, external influence, cost, and quality concern, are influential factors affecting users鈥 intentions to adopt 3G mobile technology. Differences are found between the samples in the three research cities in the effect of hedonic expectation, status gains, status loss avoidance, and normative influence on mobile technology adoption intention.

Research limitations/implications
As the stability of intentions may change over time, only measuring intentions might be inadequate in predicting actual adoption behaviors. However, the focus on potential users is thought to be appropriate, given that the development of 3G is still in its infancy in China.

Originality/value
Previous research into information technology adoption among Chinese users has not paid attention to regional diversity. Some research considered China as a large single market and some was conducted in only one province or one city. Culturally, China is a heterogeneous country.

  • Date:

    02 March 2015

  • Publication Status:

    Published

  • Publisher

    Emerald

  • DOI:

  • ISSN:

    0959-3845

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

麻豆社区

Song, J., Sawang, S., Drennan, J., & Andrews, L. (2015). Same but different? Mobile technology adoption in China. Information Technology and People, 28(1), 107-132. https://doi.org/10.1108/itp-10-2013-0187

Authors

Keywords

technology adoption, mobile technology, rational perception, social influence, and behavioral control

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