TY - GEN
T1 - Mobile Technology Acceptance of University Students
T2 - International Conference on Mobile Computing and Sustainable Informatics
AU - Hosseini, Zahra
AU - Kinnunen, Jani
AU - Mehdizadeh, Mohammad
AU - Georgescu, Irina
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - The increasing usage of mobile technology implies high acceptance of emerging digital technologies. The aim of this study is to identify the features and quantify their effects on the acceptance of mobile technology by consolidating the uses and gratifications theory (UGT) and technology acceptance model (TAM) as the theoretical framework. The context is university students, sample of 335 selected by quota sampling method, attending the academic year 2018–2019 at one of the largest universities in Iran. The well-established methods of t-tests, ANOVA, and linear regression analysis show a significant role of social factors on the behavioral intention and actual use of mobile technology. In addition to direct effects, the influence of individual characteristics as moderating variables, on attitude, behavioral intention, and use of mobile technology are reported and discussed with respect to literature. The insights can support technology developers in providing user-centered applications.
AB - The increasing usage of mobile technology implies high acceptance of emerging digital technologies. The aim of this study is to identify the features and quantify their effects on the acceptance of mobile technology by consolidating the uses and gratifications theory (UGT) and technology acceptance model (TAM) as the theoretical framework. The context is university students, sample of 335 selected by quota sampling method, attending the academic year 2018–2019 at one of the largest universities in Iran. The well-established methods of t-tests, ANOVA, and linear regression analysis show a significant role of social factors on the behavioral intention and actual use of mobile technology. In addition to direct effects, the influence of individual characteristics as moderating variables, on attitude, behavioral intention, and use of mobile technology are reported and discussed with respect to literature. The insights can support technology developers in providing user-centered applications.
KW - Mobile technology
KW - Technology acceptance model
KW - University student
KW - Use and gratification theory
U2 - 10.1007/978-981-19-2069-1_9
DO - 10.1007/978-981-19-2069-1_9
M3 - Conference contribution
AN - SCOPUS:85134587399
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 121
EP - 137
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer
Y2 - 27 January 2022 through 28 January 2022
ER -