Abstract
Purpose Given the proliferation of mobile devices, mcommerce is expected to experience a substantial growth. However, most mcommerce applications except for a few have failed to meet expectations. In this study, the authors aim to examine specific factors pertaining to the individual adoption of B2C transactional mobile commerce. Design/methodology/approach A comprehensive framework integrating well established theories of technology adoption – i.e. the technology acceptance model (TAM) and the theory of planned behaviour (TPB) – is developed. More specifically, perceived usefulness is reconceptualized to enhance the specificity of these theories to mobile commerce. The resulting model is empirically tested with mobile device users who have not adopted mobile commerce yet. Findings The empirical results provide strong support for the integrative approach, shedding light on the significance and relative importance of specific technological characteristics. The theoretical and empirical implications of these results are discussed. Originality/value The paper demonstrates the need to develop the innovation diffusion theory and TAM further by including the effects of social influence and individual characteristic variables. Furthermore, the paper also shows the usefulness of accounting for the specificity of the IT artifact in general and mcommerce applications in particular. In this study, the specificity of the IT artifact is accounted for by decomposing perceived usefulness into specific considerations that are relevant to mcommerce adoption. Such an approach presents a major advantage. Indeed, the significance and magnitude of the formative measures show which characteristics of mcommerce are adoption drivers.
Original language | English |
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Pages (from-to) | 110-124 |
Number of pages | 15 |
Journal | Journal of Enterprise Information Management |
Volume | 21 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 15 2008 |
Externally published | Yes |
Keywords
- Electronic commerce
- Mobile communication systems
- Modelling
ASJC Scopus subject areas
- General Decision Sciences
- Information Systems
- Management of Technology and Innovation