![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
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.
Acknowledgements
This research has been supported by the Reinforcement Programme of Human Research Manpower – ‘PENED’ in the framework of Measure 8.3, Action 8.3.1, of the Operational Programme Competitiveness (Third Community Support Programme). The programme is co-funded by public expenditure from EU (European Social Fund, 75%), by public expenditure from Greek public sector (Ministry of Development, General Secretariat for Research and Technology, 25%) and from private sector.