Abstract : Utilising Mobile Internet (M-Internet) services would increase socio-economic benefits. Hence, it is necessary to consider the factors that may increase the adoption of M-Internet services within the context of Saudi Arabia. This research aims to examine potential users’ intentions towards different variables that may be significant for supporting higher usage of M-Internet services in the domain of the Kingdom of Saudi Arabia. This study embraces the following variables: perceived risk, innovativeness; performance expectancy, effort expectancy, social influence, facilitating conditions, perceived value, hedonic motivation and behavioural intention. Data was collected by means of a questionnaire on a convenience sample that consisted of 600 subjects with a response rate of 69.5 %. The findings gathered from a descriptive analysis suggested that the related variables are perceived as significant by participants and they have strong behavioural intention to use M-Internet services.
Marijn Janssen; Matti Mäntymäki; Jan Hidders; Bram Klievink; Winfried Lamersdorf; Bastiaan van Loenen; Anneke Zuiderwijk. 14th Conference on e-Business, e-Services and e-Society (I3E), Oct 2015, Delft, Netherlands. Lecture Notes in Computer Science, LNCS-9373, pp.95-106, 2015, Open and Big Data Management and Innovation 〈10.1007/978-3-319-25013-7_8〉
https://hal.inria.fr/hal-01448072
Contributeur : Hal Ifip
<>
Soumis le : vendredi 27 janvier 2017 - 14:45:45
Dernière modification le : vendredi 27 janvier 2017 - 14:48:39
Document(s) archivé(s) le : vendredi 28 avril 2017 - 23:50:42
Abdullah Baabdullah, Yogesh Dwivedi, Michael Williams, Prabhat Kumar. Understanding the Adoption of Mobile Internet in the Saudi Arabian Context: Results from a Descriptive Analysis. Marijn Janssen; Matti Mäntymäki; Jan Hidders; Bram Klievink; Winfried Lamersdorf; Bastiaan van Loenen; Anneke Zuiderwijk. 14th Conference on e-Business, e-Services and e-Society (I3E), Oct 2015, Delft, Netherlands. Lecture Notes in Computer Science, LNCS-9373, pp.95-106, 2015, Open and Big Data Management and Innovation 〈10.1007/978-3-319-25013-7_8〉. 〈hal-01448072〉
