Affective and social determinants of mobile data services adoption
Behaviour and Information TechnologyPublished 9 March 2011
Dimitrios C. Karaiskos, Dimitris Drossos, Alexandros S. Tsiaousis, George M. Giaglis, Konstantinos Fouskas
Citations44
SJR quartileQ1
SJR score1.10
SNIP1.57
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TL;DR
Results showed that the MDS usage intention can be predicted by cognitive and affective factors under the lens of social influences, and the main antecedents of MDS actual use are perceived usefulness, perceived value and intention to use MDS.
Abstract
Technology acceptance theories predict user intentions to use services tailored for organisational needs. However, in this paper, we postulate that the aforementioned theories do not apply when investigating intentions towards the use of mobile data services (MDS), as the latter encompasses supplementary characteristics, such as fun and enjoyment, which are not taken into account under available models of user acceptance. The incorporation of the affective dimension is proposed by reintroducing the Triandis theory of human behaviour to the MDS domain. A web-based survey (N = 219) was conducted to investigate our research hypotheses and validate our model of MDS usage intention. Results showed that the MDS usage intention can be predicted by cognitive and affective factors under the lens of social influences. Additionally, the main antecedents of MDS actual use are perceived usefulness, perceived value and intention to use MDS.
Keywords
Social SciencesDecision SciencesBusiness, Management and Accounting
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